Landscape Analysis of Adult Florida Panther Habitat
Open accessAbstract
Historically occurring throughout the southeastern United States, the Florida panther is now restricted to less than 5% of its historic range in one breeding population located in southern Florida. Using radio-telemetry data from 87 prime-aged (≥3 years old) adult panthers (35 males and 52 females) during the period 2004 through 2013 (28,720 radio-locations), we analyzed the characteristics of the occupied area and used those attributes in a random forest model to develop a predictive distribution map for resident breeding panthers in southern Florida. Using 10-fold cross validation, the model was 87.5 % accurate in predicting presence or absence of panthers in the 16,678 km2 study area. Analysis of variable importance indicated that the amount of forests and forest edge, hydrology, and human population density were the most important factors determining presence or absence of panthers. Sensitivity analysis showed that the presence of human populations, roads, and agriculture (other than pasture) had strong negative effects on the probability of panther presence. Forest cover and forest edge had strong positive effects. The median model-predicted probability of presence for panther home ranges was 0.81 (0.82 for females and 0.74 for males). The model identified 5579 km2 of suitable breeding habitat remaining in southern Florida; 1399 km2 (25%) of this habitat is in non-protected private ownership. Because there is less panther habitat remaining than previously thought, we recommend that all remaining breeding habitat in south Florida should be maintained, and the current panther range should be expanded into south-central Florida. This model should be useful for evaluating the impacts of future development projects, in prioritizing areas for panther conservation, and in evaluating the potential impacts of sea-level rise and changes in hydrology.
AI snapshot
Written from the paper’s full text.
TL;DR
A random forest model using 2004–2013 telemetry from 87 adult Florida panthers predicted breeding habitat across a 16,678 km² south Florida study area with 87.5% cross-validated accuracy. It identified 5,579 km² of suitable breeding habitat, 25% on non-protected private land, and concluded remaining habitat is insufficient for a genetically viable population.
Key findings
- The random forest model had 10-fold cross-validated PCC 87.5%, sensitivity 87.7%, specificity 87.4%, kappa 0.71, and AUC 0.95; out-of-bag PCC was 87.7%.
- The model identified 5,579 km² of adult/breeding panther habitat; 1,399 km² (25%) was in non-protected private ownership, 5,232 km² (93.8%) fell within the Primary Zone, and 211 km² (3.8%) fell within the Secondary Zone.
- The most important variables were wetland forest, human population density, forest edge, and dry/wet season water depth. Sensitivity analysis showed human population, roads, and agriculture other than pasture had strong negative effects, while forest cover and forest edge had strong positive effects.
- Median model-predicted probability of presence for the 87 home ranges was 0.81 (females 0.82, n = 52; males 0.74, n = 35), with females selecting slightly higher-quality habitat (p < 0.01). The authors conclude that even at maximum adult density of 2.80 panthers per 100 km², the total would remain below 240 adults and subadults, insufficient for one genetically viable population.
Methods
- The study area was 16,678 km² in southwest Florida, divided into 1-km² grid cells. Telemetry data from 2004–2013 included 87 prime-aged adult panthers (35 males, 52 females) and 28,720 locations; home ranges were 100% minimum convex polygons, and cells with at least one telemetry point were classified as present, all others as absent.
- A random forest classification model used 500 trees and 3 variables tried at each split, with 15 explanatory variables: 10 land cover categories plus forest edge, dry season water depth, wet season water depth, human population density, and road density. Cells with model-predicted probability of presence ≥ 0.338 were classified as present; validation used 10-fold cross validation, variable importance, and sensitivity analysis.
Limitations
- Stated: the model is regionally specific to south Florida and should be used with caution outside the region because of the dominance of wetland habitats there.
- Stated/defended: the presence-absence design treats undetected cells as true absences; the authors argue this is valid given intensive monitoring, but the pseudo-absence assumption remains.
- Evident: only an estimated average of 44% (range 26–62%) of the known resident adult panther population was collared and monitored annually during 2004–2013, and telemetry error was within 124–230 m; the authors argue overlap and annual surveys mitigate these issues, but the sample is not a complete census.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
8 of 81 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured
- Premisereasoning
Only Kautz et al. and Thatcher et al. attempted to analyze first-order selection (range within the region).
“only Kautz et al. [7] and Thatcher et al. [10] attempted to analyze the first order selection (range within the region).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [10] CA Thatcher, 2009, A habitat assessment for Florida panther population expansion into central Florida, Journal of Mammalogy source
In the Study section (page not available in our copy), Thatcher et al. explicitly describe their comparison of actual panther home ranges with randomly distributed home ranges as “2nd-order habitat selection.” That contradicts the citing sentence’s classification of their analysis as first-order selection. The paper also cannot establish the sentence’s claim that only two studies attempted such an analysis. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Three previous resource selection analyses were second-order selections (home ranges within the range).
“3 were second order selection analyses (home ranges within the range) [6, 7, 10]”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [6] JJ Cox, 2006, Florida panther habitat use: new approach to an old problem, Journal of Wildlife Management source
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [10] CA Thatcher, 2009, A habitat assessment for Florida panther population expansion into central Florida, Journal of Mammalogy source
- Premisecitation
The primary prey species of the Florida panther in southern Florida are white-tailed deer and wild hogs.
“The primary prey species of the Florida panther in southern Florida are white-tailed deer (Odocoileus virginiana) and wild hogs (Sus scrofa) [17, 18].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [17] Maehr DS, Land D, Roof JC, McCown JW. Day beds, natal dens, and activity of Florida panthers. Proceedings of the Annual Conference of Southeast Fish and Wildlife Agencies. 1990; 44: 310–318.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [18] GH Dalrymple, 1996, The diet of the Florida panther in Everglades National Park, Bulletin of the Florida Museum of Natural History source
The Introduction (page not available) reports that deer and wild hogs were the most common prey in southwestern Florida. But the paper’s Everglades results show a clear reliance on deer and very little hog consumption, so the claim does not hold uniformly across southern Florida. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingown data
Building separate models for males and females did not improve model accuracy.
“our preliminary modeling showed that building separate models for males and females did not improve model accuracy.”
Quote in the paperSubstantial claim - Findingnone given
The final filtered dataset consisted of 87 adult panther home ranges (52 females and 35 males) comprising 28,720 telemetry locations (18,124 for females and 10,596 for males).
“The final filtered dataset consisted of 87 adult panther home ranges (52 females and 35 males) comprising 28,720 telemetry locations (18,124 for females and 10,596 for males) (Fig 1a).”
Quote in the paperSubstantial claim
- Findingown data
Wetlands made up 66.0% of the study area.
“Altogether, wetlands made up 66.0% of the study area.”
Quote in the paperNot a substantial claim - Findingown data
Natural or semi-natural upland areas (upland forest, shrub lands, and grasslands) comprised only about 15.1% of the total study area.
“In contrast, natural or semi-natural upland areas (upland forest, shrub lands, and grasslands) comprised only about 15.1% of the total.”
Quote in the paperNot a substantial claim - Findingown data
Forest edge was not well-correlated (R2 = 0.42) with the total amount of forest cover in a cell.
“Forest edge was not well-correlated (R2 = 0.42) with the total amount of forest cover in a cell, i.e., some areas with low amounts of forest cover might have large amounts of edge, and vice versa.”
Quote in the paperNot a substantial claim - Findingown data
The amount of forest edge in each cell ranged from essentially none in the vast sawgrass wetlands, coastal areas, and agricultural areas, to 17 km per cell in the center of the study area.
“The amount of forest edge in each cell ranged from essentially none in the vast sawgrass wetlands, coastal areas, and agricultural areas, to 17 km per cell in the center of the study area (Fig 2a).”
Quote in the paperNot a substantial claim - Findingown data
Except for one male with an unusually large home range, no panther home range had an average P below 0.4.
“Except for one male with an unusually large home range, no panther home range had an average P below 0.4.”
Quote in the paperNot a substantial claim - Findingown data
Areas of high probability of panther presence were, for the most part, concentrated in a single large contiguous block within the central and northwestern part of the study area.
“Areas of high probability of panther presence were, for the most part, concentrated in a single large contiguous block within the central and northwestern part of the study area.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
A separate, smaller area of predicted panther use occurred in the southwestern portion of the study area within Everglades National Park.
“A separate, smaller area of predicted panther use occurred in the southwestern portion of the study area within Everglades National Park.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
Using 10-fold cross validation, the model was 87.5% accurate in predicting presence or absence of panthers in the 16,678 km2 study area.
“Using 10-fold cross validation, the model was 87.5 % accurate in predicting presence or absence of panthers in the 16,678 km2 study area.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
Increasing the amount of wetland forest cover in low quality habitat caused a steady increase in P from 0.21 up to 0.47.
“Increasing the amount of wetland forest cover in low quality habitat caused a steady increase in P from 0.21 up to 0.47 (Fig 5d).”
Quote in the paperNot a substantial claim - Findingown data
Removing one of the wet or dry season water depth variables resulted in a slight loss in model accuracy.
“Nevertheless, we chose to keep both variables in the model because removing one of them resulted in a slight loss in model accuracy.”
Quote in the paperSubstantial claim - Findingown data
Average wet and dry season water depths in the study area ranged from -5.2 m below ground surface up to +2.6 m above ground.
“Average wet and dry season water depths in the study area ranged from -5.2 m (below ground surface) up to +2.6 m above ground.”
Quote in the paperNot a substantial claim - Findingown data
The effect of forest edge was similar but less pronounced in low P ranges.
“The effect was similar but less pronounced in low P ranges.”
Quote in the paperNot a substantial claim - Findingown data
At 50 people per km2, P decreased by almost 0.5.
“At 50 people per km2, P decreased by almost 0.5.”
Quote in the paperSubstantial claim - Findingown data
Peak probability of presence occurred at -0.6 m average water depth.
“Peak probability of presence occurred at -0.6 m average water depth (Fig 5f).”
Quote in the paperNot a substantial claim - Findingown data
Ten-fold cross validation accuracy was nearly identical to out-of-bag accuracy for all metrics.
“Ten-fold cross validation accuracy was nearly identical to out-of-bag accuracy for all metrics (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Using a cutoff probability of 0.338, the RF model had an overall accuracy (PCC) of 87.7% of cells correctly classified, based on out-of-bag error rates.
“Using a cutoff probability of 0.338, the RF model had an overall accuracy (PCC) of 87.7% of cells correctly classified, based on out-of-bag error rates (Table 2).”
Quote in the paperSubstantial claim - Findingown data
According to the accuracy analysis, all variables contributed somewhat to model accuracy.
“According to the accuracy analysis, all variables contributed somewhat to model accuracy.”
Quote in the paperNot a substantial claim - Findingown data
Small increases in human density were predicted to have a pronounced negative effect on the probability of panther presence (P).
“Small increases in human density were predicted to have a pronounced negative effect on the probability of panther presence (P) (Fig 5a).”
Quote in the paperSubstantial claim - Findingown data
The model identified 5579 km2 of suitable breeding habitat remaining in southern Florida.
“The model identified 5579 km2 of suitable breeding habitat remaining in southern Florida; 1399 km2 (25%) of this habitat is in non-protected private ownership.”
- Also stated in: § Model results · plain
“Using this cutoff point, 5579 km2 of breeding habitat were identified within the study area.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Also stated in: § Model results · plain
- Findingown data
The probability of panther presence was positively related to amount of forest edge, peaking at about 8 km of forest edge per cell.
“The probability of panther presence was positively related to amount of forest edge, peaking at about 8 km of forest edge per cell (Fig 5c).”
Quote in the paperSubstantial claim - Findingown data
Panther presence was most likely when the average water level was just below ground surface.
“Panther presence was most likely when the average water level was just below ground surface.”
Quote in the paperSubstantial claim - Findingown data
Wet season and dry season water depths were highly correlated (R2 = 0.98).
“Wet season and dry season water depths were highly correlated (R2 = 0.98).”
Quote in the paperNot a substantial claim - Findingown data
In excellent (high P value) panther habitat, when human density increased from 0 to 10 people per km2, the model predicted a 0.3 decrease in the probability of panther use.
“In excellent (high P value) panther habitat, when human density increased from 0 to 10 people per km2, the model predicted a 0.3 decrease in the probability of panther use.”
Quote in the paperSubstantial claim - Findingown data
Breeding panther presence was not likely in the Water Conservation Areas, Shark River Slough, or the coastal wetlands of southwest Florida.
“Breeding panther presence was not likely in the Water Conservation Areas, Shark River Slough, or the coastal wetlands of southwest Florida.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
The RF model accurately predicted the presence or absence of adult panthers in the study area.
“The RF model accurately predicted the presence or absence of adult panthers in the study area.”
Quote in the paperSubstantial claim - Findingown data
Road density ranged from roadless in much of the study area to over 18 km of roads per grid cell in some urban areas.
“Road density showed a similar pattern, ranging from roadless in much of the study area to over 18 km of roads per grid cell in some urban areas.”
Quote in the paperNot a substantial claim - Findingown data
Beyond 8 km of forest edge, no further increase in P was observed.
“Beyond 8 km of forest edge, no further increase in P was observed.”
Quote in the paperNot a substantial claim - Findingown data
Human population density ranged from uninhabited throughout much of the study area to upwards of 8,000 people per grid cell (km2) in the densely populated areas in the northwest and southeast corners.
“Human population density ranged from uninhabited throughout much of the study area, to upwards of 8,000 people per grid cell (km2) in the densely populated areas in the northwest and southeast corners of the study area (Fig 2c).”
Quote in the paperNot a substantial claim - Findingown data
Wetland shrubs, road density, freshwater wetlands, and agricultural use were of medium importance relative to the other variables.
“Wetland shrubs, road density, freshwater wetlands, and agricultural use were of medium importance relative to the other variables.”
Quote in the paperNot a substantial claim - Findingown data
Sensitivity analysis showed that the presence of human populations, roads, and agriculture (other than pasture) had strong negative effects on the probability of panther presence.
“Sensitivity analysis showed that the presence of human populations, roads, and agriculture (other than pasture) had strong negative effects on the probability of panther presence.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
1399 km2 (25%) of the suitable breeding habitat is in non-protected private ownership.
“1399 km2 (25%) of this habitat is in non-protected private ownership.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
Likelihood of use by panthers continued to decrease up to about 140 people per grid cell, at which point further increases in human density had little effect.
“Likelihood of use by panthers continued to decrease up to about 140 people per grid cell, at which point further increases in human density had little effect.”
Quote in the paperSubstantial claim - Findingown data
In medium quality habitat, a cell with no roads was predicted to be about twice as likely to support adult panthers than a cell with 5 km of roads.
“In medium quality habitat, a cell with no roads was predicted to be about twice as likely to support adult panthers than a cell with 5 km of roads (Fig 5b).”
Quote in the paperSubstantial claim - Findingown data
By simple resubstitution of the training data, the RF model correctly classified 99% of the grid cells.
“By simple resubstitution of the training data, the RF model correctly classified 99% of the grid cells.”
Quote in the paperNot a substantial claim - Findingown data
The human density variable had a similar but less pronounced effect on model outputs in lesser quality habitat.
“The human density variable had a similar but less pronounced effect on model outputs in lesser quality habitat.”
Quote in the paperNot a substantial claim - Findingown data
Water depths during the wet season averaged about 0.3 m greater than during the dry season.
“Water depths during the wet season averaged about 0.3 m greater than during the dry season.”
Quote in the paperNot a substantial claim - Findingown data
Along with urban, open water, and saltwater wetlands, the upland cover types were among the least predictive variables.
“Along with urban, open water, and saltwater wetlands, these were among the least predictive variables.”
Quote in the paperNot a substantial claim - Findingown data
Agricultural uses other than pasture within a grid cell were predicted to reduce its suitability for panthers, particularly in otherwise good (high P) habitat.
“Agricultural uses other than pasture within a grid cell were predicted to reduce its suitability for panthers, particularly in otherwise good (high P) habitat (Fig 5e).”
Quote in the paperSubstantial claim - Findingown data
The top five variables were the same by both importance measures, although in different order.
“The top five variables were the same by both importance measures, although in different order.”
Quote in the paperNot a substantial claim - Findingown data
Female panthers selected slightly higher quality habitat than males (p<0.01, Wilcoxon rank sum test).
“Female panthers selected slightly higher quality habitat than males (p<0.01, Wilcoxon rank sum test) (Fig 6).”
Quote in the paperNot a substantial claim - Findingown data
There was greater variation in importance among the variables based on the Gini index compared with model accuracy.
“There was greater variation in importance among the variables based on the Gini index compared with model accuracy.”
Quote in the paperNot a substantial claim - Findingreasoning
Using the combined relative importance from the two methods, the order of variable importance was wetland forest > human density > forest edge > dry season water depth > wet season water depth.
“Using the combined relative importance from the two methods, the order of variable importance was wetland forest > human density > forest edge > dry season water depth > wet season water depth.”
Quote in the paperSubstantial claim - Findingown data
Increasing forest edge from 0 to 8 km produced a corresponding increase of 0.36 in P in good quality panther habitat.
“Increasing forest edge from 0 to 8 km produced a corresponding increase of 0.36 in P in good quality panther habitat.”
Quote in the paperNot a substantial claim - Findingown data
The average probability of presence for each of the 87 panther home ranges was between 0.35 and 0.96, with a median value of 0.81.
“The average probability of presence for each of the 87 panther home ranges was between 0.35 and 0.96, with a median value of 0.81.”
Quote in the paperNot a substantial claim - Findingown data
The amount of wetland forest and forest edge were the most important variables according to the Gini index.
“The amount of wetland forest and forest edge were the most important variables according to the Gini index.”
Quote in the paperNot a substantial claim - Findingnone given
Average wet season water depths showed a similar probability profile.
“Average wet season water depths showed a similar probability profile.”
Quote in the paperNot a substantial claim - Findingown data
Road density was another strong negative predictor of panther presence.
“A related variable, road density was another strong negative predictor of panther presence.”
Quote in the paperSubstantial claim - Findingown data
Analysis of variable importance indicated that the amount of forests and forest edge, hydrology, and human population density were the most important factors determining presence or absence of panthers.
“Analysis of variable importance indicated that the amount of forests and forest edge, hydrology, and human population density were the most important factors determining presence or absence of panthers.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
The median model-predicted probability of presence for panther home ranges was 0.81 (0.82 for females and 0.74 for males).
“The median model-predicted probability of presence for panther home ranges was 0.81 (0.82 for females and 0.74 for males).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Findingown data
The Water Conservation Areas on the east side of the Primary Zone, the Shark River Slough in Everglades National Park, and the long narrow corridor extending east from the Primary Zone and bisecting the Secondary Zone do not contain adult panther habitat according to the probabilities assigned by the model.
“The Water Conservation Areas on the east side of the Primary Zone, the Shark River Slough in Everglades National Park, and the long, narrow corridor extending east from the Primary Zone and bisecting the Secondary Zone, do not contain adult panther habitat according to the probabilities assigned to those areas by our model (Fig 3b).”
Quote in the paperSubstantial claim - Findingown data
The model identified only 211 km2 of potential adult habitat in the Secondary Zone, compared with 5232 km2 in the Primary Zone (4.0%).
“In contrast, our model identified only 211 km2 of potential adult habitat in the Secondary Zone, compared with 5232 km2 in the Primary Zone (4.0%).”
Quote in the paperSubstantial claim - Findingnone given
Areas within the study area where water depths were well below the surface were often associated with agricultural and urban land cover types.
“In addition, the areas within our study area where water depths were well below the surface were often associated with agricultural and urban land cover types.”
Quote in the paperNot a substantial claim - Findingown data
The model showed that hydrology is one of the most important factors determining the presence of adult panthers.
“Our model showed that hydrology is indeed one of the most important factors determining the presence of adult panthers.”
Quote in the paperSubstantial claim - Findingown data
The boundary of the panther Primary Zone as drawn by Kautz et al. was supported by the model, with a few notable exceptions.
“The boundary of the panther Primary Zone as drawn by Kautz et al. [7] was supported by our model, with a few notable exceptions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- Findingown data
Of the 5579 km2 of suitable adult panther habitat, 1399 km2 (25%) is in non-protected private ownership.
“Of this, 1399 km2 (25%) is in non-protected private ownership.”
Quote in the paperSubstantial claim - Findingown data
The model indicated that urbanized areas, as represented by human population and/or road density, were strong negative predictors of adult panther presence.
“Our model indicated that urbanized areas (as represented by human population and/or road density) were strong negative predictors of adult panther presence.”
Quote in the paperSubstantial claim - Findingown data
The probability of adult panther presence dropped off precipitously as the number of people and roads per unit area increased.
“The probability of adult panther presence dropped off precipitously as the number of people and roads per unit area increased (Fig 5a and 5b).”
Quote in the paperSubstantial claim - Findingown data
The RF model indicates that 5579 km2 of suitable adult panther habitat remain in southern Florida.
“The RF model indicates that 5579 km2 of suitable adult panther habitat remain in southern Florida.”
Quote in the paperSubstantial claim - Findingown data
Many areas used intensively by panthers within the Primary Zone contained very little land cover classified by FLUCCS as upland forest.
“In addition, many areas used intensively by panthers within the Primary Zone contained very little land cover classified by FLUCCS as upland forest.”
Quote in the paperSubstantial claim - Findingreasoning
The model did not find upland forest cover to be a major factor in predicting presence of adult panthers on a landscape scale.
“Therefore, our model did not find upland forest cover to be a major factor in predicting presence of adult panthers on a landscape scale.”
Quote in the paperSubstantial claim - Premisecitation
Recovery Action 1.1.4.2 in the Third Revision of the Florida Panther Recovery Plan calls for updating the Kautz et al. map every five years.
“Recovery Action 1.1.4.2. in the Third Revision of the Florida Panther Recovery Plan [1] calls for updating the Kautz et al. [7] map every five years.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] U.S. Fish, 2008, Florida panther recovery plan (<italic>Puma concolor coryi</italic>), third revision
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- Premisecitation
Highways encourage further human development.
“Highways result in loss and fragmentation of habitat, lead to traffic-related panther mortality, and encourage further human development [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Schwab AC. The influence of roads on the Florida panther. Thesis, University of South Florida. 2006.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The majority of previous resource selection analyses for panthers in southern Florida were third-order selections (habitat within home ranges).
“the majority of these analyses were third order selections (habitat within home ranges) [4–9]”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [4] RC Belden, 1988, Panther habitat use in southern Florida, Journal of Wildlife Management source
- cites [5] DS Maehr, 1995, Landscape features and panthers in Florida, Conservation Biology source
- cites [6] JJ Cox, 2006, Florida panther habitat use: new approach to an old problem, Journal of Wildlife Management source
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [8] ED Land, 2008, Florida panther habitat selection analysis of concurrent GPS and VHF telemetry data, Journal of Wildlife Management source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
- Premisecitation
Male and female panthers do not select significantly different habitat.
“Male and female panthers do not select significantly different habitat [8, 9]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] ED Land, 2008, Florida panther habitat selection analysis of concurrent GPS and VHF telemetry data, Journal of Wildlife Management source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
- Study design and conductown data
A grid cell was classified as present when the model-predicted probability of presence was ≥0.338, because at this cutoff point model sensitivity and specificity were equal.
“We classified a grid cell as “present” when the model-predicted probability of presence was ≥ 0.338, because at this cutoff point model sensitivity and specificity were equal.”
Quote in the paperSubstantial claim - Premisecitation
Panther habitat continues to be lost to urbanization, residential development, conversion to agriculture, and mining.
“Panther habitat continues to be lost to urbanization, residential development, conversion to agriculture, and mining [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] U.S. Fish, 2008, Florida panther recovery plan (<italic>Puma concolor coryi</italic>), third revision
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductcitation
Only data for breeding-age panthers (≥3 years old) were utilized to avoid including dependent kittens and young transient males.
“To avoid including dependent kittens and young transient males, only data for breeding-age panthers (≥3 years old) [14] were utilized.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] KA Logan, 2001, Desert puma: Evolutionary ecology and conservation of an enduring carnivore source
- Premisecitation
Selecting a cutoff threshold where sensitivity equals specificity tends to approximate the observed prevalence of the species in the study area.
“Selecting a cutoff threshold where sensitivity equals specificity tends to approximate the observed prevalence of the species in the study area [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] J Franklin, 2009, Mapping species distributions: spatial inference and prediction
- Premisecitation
Panthers require large contiguous areas to meet their social, reproductive, and energetic needs.
“They require large contiguous areas to meet their social, reproductive, and energetic needs [1], a requirement that is being compromised by rapid development in southern Florida.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] U.S. Fish, 2008, Florida panther recovery plan (<italic>Puma concolor coryi</italic>), third revision
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductcitation
During 2004-2013, an estimated average of 44% (range 26-62%) of the known population of resident adult panthers was collared and monitored each year.
“During the time frame of this study (2004–2013), an estimated average of 44% (range 26–62%) of the known population of resident adult panthers was collared and monitored each year, based on annual panther counts by McBride et al. [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] McBride RT, McBride CE, Sensor R. Synoptic survey of Florida panthers 2011. Annual report submitted to U. S. Fish and Wildlife Service, Agreement #401817G005. Alpine, Texas: Rancher’s Supply; 2012.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductreasoning
The use of an area by resident adult panthers without being detected is highly unlikely.
“However, we considered our panther dataset to be valid (i.e., true absences) and the use of an area by resident adult panthers without being detected highly unlikely.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Premisecitation
Deer in Florida preferentially use areas where upland forest is adjacent to swamps.
“In addition, deer in Florida preferentially use areas where upland forest is adjacent to swamps [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Harlow RF, Jones FK Jr. The white-tailed deer in Florida. Tallahassee: Florida Game and Fresh Water Fish Commission Technical Bulletin 9; 1965.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Highways lead to traffic-related panther mortality.
“Highways result in loss and fragmentation of habitat, lead to traffic-related panther mortality, and encourage further human development [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Schwab AC. The influence of roads on the Florida panther. Thesis, University of South Florida. 2006.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Highways result in loss and fragmentation of panther habitat.
“Highways result in loss and fragmentation of habitat, lead to traffic-related panther mortality, and encourage further human development [2].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Schwab AC. The influence of roads on the Florida panther. Thesis, University of South Florida. 2006.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
It is likely that all areas used by panthers contained some collared individuals.
“it is likely that all areas used by panthers contained some collared individuals.”
Quote in the paperSubstantial claim - Interpretationreasoning
A presence-absence study design is appropriate in this case.
“Therefore, we believe that a presence-absence study design is appropriate in this case.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Interpretationown data
There is less panther habitat remaining than previously thought.
“Because there is less panther habitat remaining than previously thought, we recommend that all remaining breeding habitat in south Florida should be maintained, and the current panther range should be expanded into south-central Florida.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
- Interpretationreasoning
Since human population and roads generally occur together, the combined impact of increased roads and increased population density in residential developments, even low density developments, is predicted to be large.
“Since human population and roads generally occur together, the combined impact of increased roads and increased population density in residential developments, even low density developments, is predicted to be large.”
Quote in the paperSubstantial claim- Rests on an assumption: Human population and roads generally occur together.
- Interpretationown data
The most important factors determining panther presence or absence in a given cell were the amount of forest cover, human population density, the amount of forest edge, and the average water level.
“The most important factors determining panther presence or absence in a given cell were (1) the amount of forest cover, (2) human population density, (3) the amount of forest edge, and (4) the average water level (Fig 4).”
Quote in the paperSubstantial claim - Premisecitation
Upland forests ranked high in habitats selected within panther home ranges.
“However, upland forests ranked high in habitats selected within panther home ranges [6–9].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [6] JJ Cox, 2006, Florida panther habitat use: new approach to an old problem, Journal of Wildlife Management source
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [8] ED Land, 2008, Florida panther habitat selection analysis of concurrent GPS and VHF telemetry data, Journal of Wildlife Management source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
- Interpretationown data
The USFWS Panther Habitat Assessment Methodology under-values the remaining adult habitat by overestimating the value of lands outside the Primary Zone.
“For example, the U.S. Fish and Wildlife Service (USFWS) Panther Habitat Assessment Methodology (see Biological Opinions issued by USFWS since 2003 [43]) under-values the remaining adult habitat by overestimating the value of lands outside the Primary Zone.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] US Fish and Wildlife Service, South Florida Ecological Services Office home page. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.fws.gov/verobeach/BiologicalOpinions.html" xlink:type="simple">http://www.fws.gov/verobeach/BiologicalOpinions.html</ext-link>
Not checked in the free run.
- Premisecitation
A consistent characteristic of panther den sites was extremely dense understory of saw palmetto, thickets, shrubs, or vines.
“A consistent characteristic of panther den sites was extremely dense understory of saw palmetto (Serenoa repens), thickets, shrubs, or vines [17, 41].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [17] Maehr DS, Land D, Roof JC, McCown JW. Day beds, natal dens, and activity of Florida panthers. Proceedings of the Annual Conference of Southeast Fish and Wildlife Agencies. 1990; 44: 310–318.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [41] JF Benson, 2008, Natal den selection by Florida panthers, Journal of Wildlife Management source
- Premisecitation
The USFWS methodology currently assumes that lands in the Secondary Zone have a 69% equivalency with those in the Primary Zone.
“The USFWS methodology currently assumes lands in the Secondary Zone have a 69% equivalency with those in the Primary Zone.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] US Fish and Wildlife Service, South Florida Ecological Services Office home page. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.fws.gov/verobeach/BiologicalOpinions.html" xlink:type="simple">http://www.fws.gov/verobeach/BiologicalOpinions.html</ext-link>
Not checked in the free run.
- Interpretationown data
The Secondary Zone of Kautz et al. is of little value to breeding panthers in its current state.
“The Secondary Zone of Kautz et al. [7] is of little value to breeding panthers in its current state (Fig 3).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- Interpretationown data
Human land uses avoided by panthers on the landscape scale are also important in predicting panther presence or absence.
“Human land uses avoided by panthers on the landscape scale are also important in predicting panther presence or absence.”
Quote in the paperSubstantial claim - Interpretationown data
Even if all adult habitat within southern Florida had the maximum adult density of 2.80 panthers per 100 km2 as reported in Quigley and Hornocker, the total population would remain below 240 adults and subadults, a population size thought necessary to maintain genetic viability and a high probability of persistence.
“Even if all of the adult habitat within southern Florida had the maximum adult density of 2.80 panthers per 100 km2 as reported in Quigley and Hornocker [44], the total population would remain below 240 adults and subadults, a population size thought to be necessary to maintain genetic viability and a high probability of persistence [7].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] H Quigley, 2010, Cougar ecology and conservation
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- Classified as probably not a substantial claim. 20
- May combine two claims. 38
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThatcher et al. developed a panther habitat model using the Mahalanobis distance statistic and landscape characteristics within panther home ranges, based on older mid-1990s telemetry and landscape data.
“Thatcher et al. [10] developed a panther habitat model using the Mahalanobis distance statistic and landscape characteristics within panther home ranges, based on older (mid-1990s) telemetry and landscape data.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] CA Thatcher, 2009, A habitat assessment for Florida panther population expansion into central Florida, Journal of Mammalogy source
May combine two claims.
PremisecitationIn south Florida, forested habitats have been shown to be important to panthers, although the region is topographically flat.
“and in south Florida forested habitats have been shown to be important to panthers [4–9, 38], although it is topographically flat [39].”
Quote in the paperSubstantial claim1 of 8 sources checked- cites [4] RC Belden, 1988, Panther habitat use in southern Florida, Journal of Wildlife Management source
- cites [5] DS Maehr, 1995, Landscape features and panthers in Florida, Conservation Biology source
- cites [6] JJ Cox, 2006, Florida panther habitat use: new approach to an old problem, Journal of Wildlife Management source
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [8] ED Land, 2008, Florida panther habitat selection analysis of concurrent GPS and VHF telemetry data, Journal of Wildlife Management source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
- cites [38] EJ Comiskey, 2002, Panthers and forests in south Florida: an ecological perspective, Conservation Ecology source
- cites [39] MJ Duever, 1986, The Big Cypress National Preserve
May combine two claims.
Premiseown dataTo the authors' knowledge, this is the first model to demonstrate the importance of forest edge and water depth in panther habitat use, although other studies have examined related factors such as forest patch size and water regime.
“To our knowledge, this is the first model to demonstrate the importance of forest edge and water depth in panther habitat use, although other studies have examined related factors such as forest patch size [5, 7, 9, 36] and water regime (duration of flooding) [10].”
Quote in the paperSubstantial claim1 of 5 sources checked- cites [5] DS Maehr, 1995, Landscape features and panthers in Florida, Conservation Biology source
- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
- cites [36] DS Maehr, 2002, Wide-ranging carnivores and development permits: constructing a multi-scale model to evaluate impacts on the Florida panther, Clean Technology Environmental Policy source
- cites [10] CA Thatcher, 2009, A habitat assessment for Florida panther population expansion into central Florida, Journal of Mammalogy source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationStudies suggested that forest edges provide the necessary structural components for successful hunting by pumas, and that use of edge areas allowed a puma to observe and ambush deer moving between open and forest patches.
“Studies by Holmes and Laundré [21] and Laundré and Loxterman [22] suggested that forest edges provide the necessary structural components for successful hunting by pumas, and Laundré and Hernández [40] concluded that use of edge areas allowed a puma to observe deer out in the open and to ambush deer as they moved between open and forest patches.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [21] BR Holmes, 2006, Use of open, edge and forest areas by pumas (<italic>Puma concolor</italic>) in winter: Are pumas foraging optimally?, Wildlife Biology source
- cites [22] JW Laundré, 2007, Impact of edge habitat on summer home range size in female pumas, American Midland Naturalist source
- cites [40] JW Laundré, 2003, Winter hunting habitat of pumas (<italic>Puma concolor</italic>) in northwestern Utah and southern Idaho, USA, Wildlife Biology source
May combine two claims.
PremisecitationResearch by Burdett et al. indicated that pumas avoided intensively developed suburban or urban areas, showed a negative response to exurban development with variable individual responses, and responded neutrally to rural development with variable individual responses.
“Research by Burdett et al. [42] indicated that pumas avoided intensively developed suburban or urban areas, showed a negative response to exurban development (but individual responses were variable), and responded neutrally to rural development (again, individual responses were variable).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [42] CL Burdett, 2010, Interfacing models of wildlife habitat and human development to predict the future distribution of puma habitat, Ecosphere source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe study area was 16,678 km2.
“The 16,678 km2 study area included most of Everglades National Park, Big Cypress National Preserve, Florida Panther National Wildlife Refuge, Fakahatchee Strand Preserve State Park, and other public lands, as well as thousands of acres of undeveloped land in private ownership.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll tested modeling techniques produced similar results, but random forest was more accurate at predicting known panther locations, more straightforward to use, and provided more useful information.
“Although all of these methods produced similar results, we found RF to be more accurate at predicting known panther locations, to be more straightforward to use, and to provide more useful information than the other methods.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect of wetland forest cover was similar at higher P ranges but began to drop off at about 80%.
“The effect was similar at higher P ranges but began to drop off at about 80%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHuman population density was the most important variable affecting model accuracy, followed by wetland forest.
“Human population density stood out as the most important variable affecting model accuracy, followed by wetland forest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIncreasing amounts of shrub (both upland and wetland) were predicted to have a positive effect on poor habitat and a negative effect on good habitat.
“For example, increasing amounts of shrub (both upland and wetland) were predicted to have a positive effect on poor habitat and a negative effect on good habitat.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUpland forest comprised only 5.4% of the study area and was scattered in small patches throughout the northern half.
“Upland forest, comprising only 5.4%, was scattered in small patches throughout the northern half of the study area.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUpland forest had a consistent positive effect but the maximum gain in P was less than 0.1.
“Upland forest had a consistent positive effect but the maximum gain in P was less than 0.1.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSensitivity and specificity were both equal to the PCC at the 0.338 cutoff point.
“Sensitivity and specificity were both equal to the PCC at this cutoff point.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataForest cover and forest edge had strong positive effects on the probability of panther presence.
“Forest cover and forest edge had strong positive effects.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Grid cells lacking a telemetry location are true absences, not pseudo-absences.
May combine two claims.
Findingown dataRoad density had its maximal effect at the middle ranges of P, but the effect was similar in all ranges.
“Road density had its maximal effect at the middle ranges of P, but the effect was similar in all ranges.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe kappa statistic (0.711) and AUC (0.95) both indicated high model accuracy in predicting panther presence within the study area.
“The kappa statistic (0.711) and AUC (0.95) both indicated high model accuracy in predicting panther presence within the study area.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn high quality habitat, P was highest when the average water depth in the dry season was between -2 m and 0 m, and dropped off sharply on either side of this range.
“In high quality habitat, P was highest when the average water depth in the dry season was between -2 m and 0 m, and dropped off sharply on either side of this range.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe increase in P with wetland forest cover was fairly constant throughout the entire range of forest coverage from 0 to 100%.
“The increase was fairly constant throughout the entire range of forest coverage from 0 to 100%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEven the most undeveloped part of the study area is bisected by several major highways including Interstate 75, US 41, and US 29 and also contains many minor roadways.
“However, even the most undeveloped part of the study area is bisected by several major highways including Interstate 75, US 41, and US 29 and also contains many minor roadways (Figs 1a and 2d).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe model indicated that the probability of adult panther presence is greatest when average water levels are just below the surface and drops off rapidly as water depths increase or decrease.
“The model indicated that the probability of adult panther presence is greatest when average water levels are just below the surface and drops off rapidly as water depths increase or decrease.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe Shark River Slough area is currently protected within Everglades National Park.
“This area is currently protected within Everglades National Park, although rising water levels in this region could sever connections between the two subpopulations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe model predicted an overall average probability of use of 0.086 for the Secondary Zone, compared with 0.455 for the Primary Zone.
“Our model predicted an overall average probability of use of 0.086 for the Secondary Zone, compared with 0.455 for the Primary Zone.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe remaining lands classified as adult habitat by the model (135.8 km2, 2.4%) are disjunct patches outside the Primary and Secondary zones and are seldom used by panthers, except for transient males.
“The remaining lands classified as adult habitat by our model (135.8 km2, 2.4%) are disjunct patches outside the Primary and Secondary zones and are seldom used by panthers, except for transient males (Fig 3b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the model, agriculture excluding pasture and rangelands was of medium importance as a variable and had a pronounced negative effect on panther habitat.
“In our model, agriculture (excluding pasture and rangelands) was of medium importance as a variable and had a pronounced negative effect on panther habitat.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe extent of upland forest in the study area was 895 km2, and 333 km2 (37%) of that occurred outside the Primary Zone, in isolated patches surrounded by residential or agricultural land cover types.
“The extent of upland forest in our study area (895 km2) was small, and 333 km2 (37%) of that occurred outside the Primary Zone, in isolated patches surrounded by residential or agricultural land cover types.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataResults from this study are consistent with Kautz et al. and Onorato et al. in that, related to forest patch size, the amount of forest edge was a highly predictive variable of adult panther presence.
“Results from our study are consistent with the latter in that, related to forest patch size, the amount of forest edge was a highly predictive variable of adult panther presence.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
May combine two claims.
FindingcitationOf the available breeding habitat, approximately 5232 km2 (93.8%) is contained within the Primary Zone defined by Kautz et al., and 211 km2 (3.8%) is contained within their Secondary Zone.
“Of the available breeding habitat, approximately 5232 km2 (93.8%) is contained within the Primary Zone defined by Kautz et al. [7], and 211 km2 (3.8%) is contained within their Secondary Zone.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
May combine two claims.
PremisecitationThe total area occupied by resident adult panthers in south Florida is relatively small, and the entire area is surveyed each year by expert trackers using hounds.
“In addition, the total area occupied by resident adult panthers in south Florida is relatively small, and the entire area is surveyed each year by expert trackers using hounds (e.g., [13]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] McBride RT, McBride CE, Sensor R. Synoptic survey of Florida panthers 2011. Annual report submitted to U. S. Fish and Wildlife Service, Agreement #401817G005. Alpine, Texas: Rancher’s Supply; 2012.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe random forest model was validated using 10-fold cross validation.
“The RF model was validated using 10-fold cross validation [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] AH Fielding, 1997, A review of methods for the assessment of prediction errors in conservation presence/absence models, Environmental Conservation source
Classified as probably not a substantial claim.
Study design and conductreasoningAreas used and avoided by adult panthers during the 10-year time frame could be accurately identified using these locations within a small margin of error.
“we felt that areas used and avoided by adult panthers during the 10-year time frame of this study could be accurately identified using these locations within a small margin of error (see below).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationRandom forest has demonstrated advantages over other statistical classifiers including very high classification accuracy, ranking variables by importance, ability to model complex interactions, and no assumptions about the distribution of predictor or response variables.
“We used random forest (RF) modeling because of demonstrated advantages of RF over other types of statistical classifiers that include: (1) very high classification accuracy; (2) a method of ranking variables according to their importance; (3) the ability to model complex interactions; and (4) RF makes no assumptions about the distribution of predictor or response variables [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] DR Cutler, 2007, Random forests for classification in ecology, Ecology source
Classified as probably not a substantial claim.
Study design and conductcitationOnly individuals with ≥50 telemetry points were included, to reduce the effects of small sample sizes on home range estimates.
“After applying the above filters, only individuals with ≥50 telemetry points were included, in order to reduce the effects of small sample sizes on home range estimates [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] DE Seaman, 1999, Effects of sample size on kernel home range estimates, Journal of Wildlife Management source
May combine two claims.
PremisecitationThe white-tailed deer is an edge species and the amount of edge affects both the quality and quantity of deer.
“The white-tailed deer is an “edge species” and the amount of edge affects both the quality and quantity of deer [19, 20].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [19] CW Severinghaus, 1969, The deer of North America
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [20] Labisky RG, Boulay MC, Sargent RA, Miller KE, Zultowsky JM. Population dynamics of white-tailed deer in the Big Cypress National Preserve and Everglades National Park. Final report to USDI National Park Service. Gainesville: Department of Wildlife Ecology and Conservation, University of Florida; 1995.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductcitationThe 1.0 km grid size was chosen to account for telemetry error (within 124-230 m) and because of interest in analyzing panther habitat characteristics at the landscape scale.
“This grid size was chosen to account for telemetry error (within 124–230 m [4, 8, 11]) and because of our interest in analyzing panther habitat characteristics at the landscape scale.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [4] RC Belden, 1988, Panther habitat use in southern Florida, Journal of Wildlife Management source
- cites [8] ED Land, 2008, Florida panther habitat selection analysis of concurrent GPS and VHF telemetry data, Journal of Wildlife Management source
- cites [11] CS Dees, 2001, Florida panther habitat use in response to prescribed fire, Journal of Wildlife Management source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationKautz et al. identified areas consistently occupied by panthers for 20 years (Primary Zone), adjacent areas likely to be occupied by an expanding panther population (Secondary Zone), and areas that would best facilitate dispersal and population expansion north of the Caloosahatchee River (Dispersal Zone).
“Kautz et al. [7] identified areas that had been consistently occupied by panthers for 20 years (“Primary Zone”), adjacent areas that would be most likely to be occupied by an expanding panther population (“Secondary Zone”), and areas that would best facilitate dispersal and population expansion north of the Caloosahatchee River (“Dispersal Zone”).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the western states, the distribution of cougars is influenced by the amount of topographic heterogeneity and the quantity of forested cover.
“In the western states, the distribution of cougars is influenced by the amount of topographic heterogeneity and the quantity of forested cover [37]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] SJ Riley, 2001, A landscape analysis of cougar distribution and abundance in Montana, USA, Environmental Management source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningA more widely applicable but still accurate model could probably be built based on the above four factors alone.
“A more widely applicable but still accurate model could probably be built based on the above four factors alone.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe importance of upland forest in panther habitat selection remains unclear, but forest cover in general is an essential element of panther habitat.
“Therefore, the importance of upland forest in panther habitat selection remains unclear, but it is obvious that forest cover in general is an essential element of panther habitat.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe Secondary Zone average probability of use is much less than the minimum average value of a panther home range (0.352), suggesting that an adult panther could not establish a home range there.
“The former is much less than the minimum average value of a panther home range (0.352), suggesting that an adult panther could not establish a home range there.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe model shows that the Secondary Zone lands, and a large portion of the Primary Zone itself, are of little value to support a breeding population of Florida panthers.
“Our model shows that these lands, and a large portion of the Primary Zone itself, are of little value to support a breeding population of Florida panthers.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenAlthough containing little suitable habitat for adult breeding panthers, the Secondary Zone is still important as a refuge for transient, non-breeding panthers.
“Although containing little suitable habitat for adult, breeding panthers, the Secondary Zone is still important as a refuge for transient, non-breeding panthers.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBenson et al. found that panthers tended to select upland hardwoods, pinelands, and mixed wet forests for den sites.
“Benson et al. [41] found that panthers tended to select upland hardwoods, pinelands, and mixed wet forests for den sites.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] JF Benson, 2008, Natal den selection by Florida panthers, Journal of Wildlife Management source
May combine two claims.
Interpretationown dataCompensation in the form of habitat protection required by the agency to offset losses due to development has been largely inadequate, because the study suggests that the amount of habitat remaining has been significantly overestimated.
“As a result, compensation in the form of habitat protection required by the agency to offset losses due to development has been largely inadequate, because our study suggests that the amount of habitat remaining has been significantly overestimated.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenThe Secondary Zone provides crucial connectivity to unoccupied areas and has the potential to be restored to more productive habitat.
“It also provides crucial connectivity to unoccupied areas and has the potential to be restored to more productive habitat.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther studies have suggested that edge might be an important factor in panther habitat selection.
“Other studies have suggested that edge might be an important factor in panther habitat selection [5, 9].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationPanthers also selected mixed wet forests as den sites, did not avoid cypress swamps, and even denned in freshwater marsh.
“However, panthers also selected mixed wet forests as den sites, did not avoid cypress swamps, and even denned in freshwater marsh [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] JF Benson, 2008, Natal den selection by Florida panthers, Journal of Wildlife Management source
May combine two claims.
Interpretationown dataThese areas probably are used by transient males and fit more closely to the definition of the Secondary Zone.
“These areas probably are used by transient males and fit more closely to the definition of the Secondary Zone [7].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenRising water levels in the Shark River Slough region could sever connections between the two subpopulations.
“This area is currently protected within Everglades National Park, although rising water levels in this region could sever connections between the two subpopulations.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe Shark River Slough portion, although not breeding panther habitat, is an important connection between the main subpopulation to the north and the smaller Everglades subpopulation to the south, and thus represents an area that may be essential to panther survival and recovery.
“The Shark River Slough portion, although not breeding panther habitat, is nevertheless an important connection between the main subpopulation to the north and the smaller Everglades subpopulation to the south, and thus represents an area that may be essential to panther survival and recovery.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationOnorato et al. reported often encountering panther kills in forests adjacent to more open habitats.
“Onorato et al. [9] reported often encountering panther kills in forests adjacent to more open habitats.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] DP Onorato, 2011, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation, Animal Conservation source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKautz et al. estimated that the effective area of the Secondary Zone is about 34.5% of that in the Primary Zone.
“Kautz et al. [7] estimated that the effective area of the Secondary Zone is about 34.5% of that in the Primary Zone.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] R Kautz, 2006, How much is enough? Landscape-scale conservation for the Florida panther, Biological Conservation source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBenson et al. suggested that the use of upland forests for denning may be a behavioral mechanism to maximize offspring survival in the flood-prone landscape of south Florida.
“They suggested that the use of upland forests for denning may be a behavioral mechanism to maximize offspring survival in the flood-prone landscape of south Florida.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] JF Benson, 2008, Natal den selection by Florida panthers, Journal of Wildlife Management source
Classified as probably not a substantial claim.
PremisecitationBenson et al. suggested that hydrology and resulting understory conditions in upland habitat types at least partially explain why pinelands and upland hardwoods were strongly selected by females as den sites.
“Benson et al. [41] suggested that hydrology and resulting understory conditions in upland habitat types at least partially explain why pinelands and upland hardwoods were strongly selected by females as den sites.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] JF Benson, 2008, Natal den selection by Florida panthers, Journal of Wildlife Management source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious studies also found that panthers selected cypress swamps.
“Previous studies also found that panthers selected cypress swamps [6, 7].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningFurther loss of adult panther habitat is likely to reduce the prospects for survival of the existing population and decrease the probability of natural expansion of the population into south-central Florida.
“Further loss of adult panther habitat is likely to reduce the prospects for survival of the existing population, and decrease the probability of natural expansion of the population into south-central Florida.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningProtection of the remaining breeding habitat in south Florida is essential to the survival and recovery of the subspecies.
“Therefore, protection of the remaining breeding habitat in south Florida is essential to the survival and recovery of the subspecies and should receive the highest priority by regulatory agencies.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThe panther population may already be at or close to carrying capacity, yet it is probably below what is required for long-term genetic viability.
“This population may already be at or close to carrying capacity, yet the panther population is probably below what is required for long-term genetic viability.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The Florida panther is restricted to one breeding population in southern Florida, representing less than 5% of its historic range.
“Historically occurring throughout the southeastern United States, the Florida panther is now restricted to less than 5% of its historic range in one breeding population located in southern Florida.”
“Pumas were once widely distributed throughout North and South America, but have been extirpated from the eastern United States except for a small breeding population of Florida panthers in southern Florida”
The authors state this as an assumption.
Grid cells lacking a telemetry location are true absences, not pseudo-absences.
“Our model was based on a presence-absence design, in which grid cells lacking a telemetry location were assumed to be absences.”
“we considered our panther dataset to be valid (i.e., true absences)”
The paper relies on this without support.
Habitat loss, degradation, and fragmentation are among the greatest threats to the Florida panther population.
“Because habitat loss, degradation, and fragmentation are among the greatest threats to this population, there is a need for land use planning that incorporates panther conservation and recovery.”
The paper relies on this without support.
Human population and roads generally occur together.
“Since human population and roads generally occur together”
The paper relies on this without support.
Conversion of land for urban or agricultural uses eliminates, fragments, and alters panther habitat.
“The conversion of land for urban or agricultural uses eliminates, fragments, and alters panther habitat.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Specificity is reported as equal to PCC but differs in the table
MinorThe text says sensitivity and specificity both equaled PCC at the cutoff. The out-of-bag row reports specificity of 87.6%, versus PCC and sensitivity of 87.7%.
“Sensitivity and specificity were both equal to the PCC at this cutoff point.”
“| out-of-bag | 87.7 | 87.6 | 87.7 | 0.71 | 0.95 |”
The habitat cutoff alternates between inclusive and exclusive
MinorThe methods classify cells with probability equal to 0.338 as present, while the results classify only cells with probability greater than 0.338 as present.
“We classified a grid cell as “present” when the model-predicted probability of presence was ≥ 0.338”
“Adult panther habitat (therefore breeding habitat) was defined as those grid cells classified as “present”, i.e., having a probability of presence of adult resident panthers greater than 0.338 (Fig 3b).”
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“The RF model was validated using 10-fold cross validation [32].”
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“Following the ordering of selection processes suggested by Johnson [3], the majority of these analyses were third order selections (habitat within home ranges) [4– 9], 3 were second order selection analyses (home ranges within the range) [6, 7, 10], and only Kautz et al. [7] and Thatcher et al. [10] attempted to analy…”
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MethodData mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
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How much is enough? Landscape-scale conservation for the Florida panther
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Landscape Features and Panthers in Florida
Maehr, D. S., & Cox, J. A. (1995) · Conservation Biology · doi:10.1046/j.1523-1739.1995.9051008.x · Cited by 73 · see citing works
Landscape features and panthers in Florida
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Winter hunting habitat of pumas <i>Puma concolor</i> in northwestern Utah and southern Idaho, USA
Laundré, J. W., & Hernández, L. (2003) · Wildlife Biology · doi:10.2981/wlb.2003.034 · Cited by 70 · cited 2× · see citing works
“Studies by Holmes and Laundré [21] and Laundré and Loxterman [22] suggested that forest edges provide the necessary structural components for successful hunting by pumas, and Laundré and Hernández [40] concluded that use of edge areas allowed a puma to observe deer out in the open and to ambush deer as they moved betw…”
BackgroundInfluentialUse of open, edge and forest areas by pumas Puma concolor in winter: are pumas foraging optimally?
Holmes, B. R., & Laundré, J. W. (2006) · Wildlife Biology · doi:10.2981/0909-6396(2006)12[201:uooeaf]2.0.co;2 · Cited by 63 · cited 2× · see citing works
“Studies by Holmes and Laundré [21] and Laundré and Loxterman [22] suggested that forest edges provide the necessary structural components for successful hunting by pumas, and Laundré and Hernández [40] concluded that use of edge areas allowed a puma to observe deer out in the open and to ambush deer as they moved betw…”
BackgroundInfluentialFlorida Panther Habitat Use in Response to Prescribed Fire
Dees, C. S., Clark, J. D., & Manen, F. T. V. (2001) · The Journal of Wildlife Management · doi:10.2307/3803287 · Cited by 59 · cited 2× · see citing works
“Methods for collecting telemetry locations have been described elsewhere [4, 8, 11].”
BackgroundMethodPanther Habitat Use in Southern Florida
Belden, R. C., Frankenberger, W. B., McBride, R. T., & Schwikert, S. T. (1988) · The Journal of Wildlife Management · doi:10.2307/3800927 · Cited by 58 · see citing works
Self-citationFlorida Panther Habitat Selection Analysis of Concurrent GPS and VHF Telemetry Data
LAND, E. D., SHINDLE, D. B., KAWULA, R. J., BENSON, J. F., LOTZ, M. A., & ONORATO, D. P. (2008) · The Journal of Wildlife Management · doi:10.2193/2007-136 · Cited by 52 · cited 3× · see citing works
“Methods for collecting telemetry locations have been described elsewhere [4, 8, 11].”
BackgroundMethodA Landscape Analysis of Cougar Distribution and Abundance in Montana, USA
Riley, S. J., & Malecki, R. A. (2001) · Environmental Management · doi:10.1007/s0026702503 · Cited by 51 · cited 1× · see citing works
“In the western states, the distribution of cougars is influenced by the amount of topographic heterogeneity and the quantity of forested cover [37], and in south Florida forested habitats have been shown to be important to panthers [4–9, 38], although it is topographically flat [39].”
BackgroundOnorato, D. P., Criffield, M., Lotz, M., Cunningham, M., McBride, R., Leone, E. H., Bass, O. L., & Hellgren, E. C. (2011) · Animal Conservation · doi:10.1111/j.1469-1795.2010.00415.x · Cited by 48 · cited 5× · see citing works
“Male and female panthers do not select significantly different habitat [8, 9], and our preliminary modeling showed that building separate models for males and females did not improve model accuracy.”
BackgroundMethodInfluentialPanthers and Forests in South Florida: an Ecological Perspective
Comiskey, E. J., Bass, Jr., Gross, L. J., McBride, R. T., & Salinas, R. (2002) · Conservation Ecology · doi:10.5751/es-00406-060118 · Cited by 41 · see citing works
Natal Den Selection by Florida Panthers
BENSON, J. F., LOTZ, M. A., & JANSEN, D. (2008) · The Journal of Wildlife Management · doi:10.2193/2007-264 · Cited by 38 · cited 4× · see citing works
“[41] found that panthers tended to select upland hardwoods, pinelands, and mixed wet forests for den sites.”
BackgroundInfluentialFlorida Panther Habitat Use: New Approach to an Old Problem
COX, J. J., MAEHR, D. S., & LARKIN, J. L. (2006) · Journal of Wildlife Management · doi:10.2193/0022-541x(2006)70[1778:fphuna]2.0.co;2 · Cited by 34 · cited 2× · see citing works
“Previous studies also found that panthers selected cypress swamps [6, 7].”
MethodResultInfluentialImpact of Edge Habitat on Summer Home Range Size in Female Pumas
LAUNDRÉ, J. W., & LOXTERMAN, J. (2007) · The American Midland Naturalist · doi:10.1674/0003-0031(2007)157[221:ioehos]2.0.co;2 · Cited by 31 · cited 2× · see citing works
“Studies by Holmes and Laundré [21] and Laundré and Loxterman [22] suggested that forest edges provide the necessary structural components for successful hunting by pumas, and Laundré and Hernández [40] concluded that use of edge areas allowed a puma to observe deer out in the open and to ambush deer as they moved betw…”
BackgroundInfluentialA Habitat Assessment for Florida Panther Population Expansion into Central Florida
Thatcher, C. A., van Manen, F. T., & Clark, J. D. (2009) · Journal of Mammalogy · doi:10.1644/08-mamm-a-219.1 · Cited by 29 · cited 4× · see citing works
“[10] developed a panther habitat model using the Mahalanobis distance statistic and landscape characteristics within panther home ranges, based on older (mid-1990s) telemetry and landscape data.”
BackgroundMethodInfluentialMaehr, D. S., & Deason, J. P. (2002) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-001-0129-4 · Cited by 23 · cited 2× · see citing works
“Maehr and Cox [5] and Maehr and Deason [36] asserted that Florida panthers used only forest patches>500 ha in size.”
BackgroundThe diet of the Florida panther in Everglades National Park, Florida
Dalrymple, G. H., & Bass, O. L. (1996) · Bulletin of the Florida Museum of Natural History · doi:10.58782/flmnh.jiwl8482 · Cited by 15 · see citing works
(2001) · doi:10.2307/jj.41003635 · Cited by 9
The Influence of Roads on the Florida Panther
Schwab, A. C. (2006) · Digital Commons - University of South Florida (University of South Florida) · Cited by 2 · see citing works
Zschokke (2002) · doi:10.1644/1545-1542(2002)083
Flagged first, then by citations
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Cited by
Sorted by citations
Dynamics, Persistence, and Genetic Management of the Endangered Florida Panther Population
Kerk, M., Onorato, D. P., Hostetler, J. A., Bolker, B., & Oli, M. (2019) · Wildlife monographs · doi:10.1002/wmon.1041 · Cited by 67 · see citing works
Landscape connectivity losses due to sea level rise and land use change
Leonard, P. B., Sutherland, R., Baldwin, R. F., Fedak, D. A., Carnes, R., & Montgomery, A. P. (2016) · Animal Conservation · doi:10.1111/acv.12289 · Cited by 62 · see citing works
“…and timber rattlesnake are often highly associated with deciduous and bottomland hardwood forests (Larkin et al., 2004; Hoss et al., 2010), while the red wolf and eastern cougar are highly associated with agricultural pasture and forest edge habitats (Dellinger et al., 2013; Frakes et al., 2015).”
BackgroundMurphy, S. M., Wilckens, D. T., Augustine, B. C., Peyton, M. A., & Harper, G. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-40926-7 · Cited by 46 · see citing works
Abernathy, H. N., Crawford, D. A., Garrison, E. P., et al. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.2230 · Cited by 43 · see citing works
“This may be particularly true in our study as most deer that embarked upon excursions moved to pine forests and hardwood swamps, areas associated with Florida panthers [84,85].”
BackgroundLeskova, O. V., Frakes, R., & Markwith, S. H. (2022) · Journal of Applied Ecology · doi:10.1111/1365-2664.14098 · Cited by 21 · see citing works
Self-citationSpatiotemporal pattern of interactions between an apex predator and sympatric species
Prat-Guitart, M., Onorato, D. P., Hines, J. E., & Oli, M. K. (2020) · Journal of Mammalogy · doi:10.1093/jmammal/gyaa071 · Cited by 24 · see citing works
Land Use and Land Cover Change Within and Around the Greater Serengeti Ecosystem, Tanzania
Kija, H. K., Ogutu, J. O., Mangewa, L. J., Bukombe, J. K., Verones, F., GRAAE, B. J., Kideghesho, J. R., Said, M. Y., & Nzunda, E. F. (2020) · American Journal of Remote Sensing · doi:10.11648/j.ajrs.20200801.11 · Cited by 20 · see citing works
“Furthermore, it is able to impute missing values and rank variables in order of their importance, and allows reliable assessment of the predictive accuracy of classification [48, 49].”
BackgroundBehavioral responses to ecological disturbances influence predation risk for a capital breeder
Abernathy, H. N., Chandler, R. B., Crawford, D. A., Garrison, E. P., Conner, L. M., Miller, K. V., & Cherry, M. J. (2021) · Landscape Ecology · doi:10.1007/s10980-021-01345-0 · Cited by 18 · see citing works
Abernathy, H. N., Crawford, D. A., Chandler, R. B., Garrison, E. P., Conner, L. M., Miller, K. V., & Cherry, M. J. (2023) · Journal of Animal Ecology · doi:10.1111/1365-2656.13976 · Cited by 17 · see citing works
Veals, A. M., Holbrook, J. D., Cherry, M. J., et al. (2022) · Landscape Ecology · doi:10.1007/s10980-022-01569-8 · Cited by 16 · see citing works
“Permeability of road networks for carnivores is key for wildlife conservation in areas where habitat loss and fragmentation are already substantial (Frakes et al. 2015; Baigas et al. 2017).”
BackgroundAssessing impacts of intrinsic and extrinsic factors on Florida panther movements
Criffield, M. A., van de Kerk, M., Leone, E., Cunningham, M. W., Lotz, M., Oli, M., & Onorato, D. P. (2018) · Journal of Mammalogy · doi:10.1093/jmammal/gyy025 · Cited by 13 · see citing works
“Panthers were captured and fitted with GPS collars within their current breeding range (Frakes et al. 2015; Fig.”
BackgroundMethodTolerance for the Florida panther in exurban southwest Florida
Rodgers, P. D., & Pienaar, E. (2018) · Journal of Wildlife Management · doi:10.1002/jwmg.21431 · Cited by 16 · see citing works
Barrientos, R., Vickers, T. W., Longcore, T., et al. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0370 · Cited by 12 · see citing works
Bohnett, E., Oetting, J., Noss, R. F., O’Brien, M. A., Frakes, R. A., Smith, D. J., Lockhart, S. L., Mullinax, J. M., Poor, E. E., Scheick, B. K., et al. (2024) · Frontiers in Conservation Science · doi:10.3389/fcosc.2024.1406944 · Cited by 12 · see citing works
Self-citationAmenity or Nuisance? Understanding and Managing Human–Panther Conflicts in Exurban Southwest Florida
Rodgers, P. D., & Pienaar, E. (2017) · Human Dimensions of Wildlife · doi:10.1080/10871209.2017.1318322 · Cited by 13 · see citing works
Davis, A. G., Cox, J., & Fei, S. (2021) · Journal for Nature Conservation · doi:10.1016/j.jnc.2021.126052 · Cited by 13 · see citing works
Hoctor, T., Bohnett, E., O’Brien, M. A., et al. (2025) · Landscape Ecology · doi:10.1007/s10980-025-02049-5 · Cited by 9 · see citing works
“We also evaluated the overlap of habitats for key species, including areas ranked in the top 50% of habitat suitability models for the Florida panther (Frakes et al. 2015) and Florida black bear (Poor et al. 2020).”
Ash, E., Cushman, S. A., Kaszta, Z. M., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-36849-z · Cited by 8 · see citing works
“In the early 1990s, the Florida panther had declined to an estimated population of ~ 19–30 individuals 25 , completely isolated from the nearest extant population, now restricted to approximately 5579 km 2 of habitat 26 .”
Frakes, R., & Knight, M.-L. (2021) · Global Ecology and Conservation · doi:10.1016/j.gecco.2021.e01516 · Cited by 9 · see citing works
Self-citationSpace Use and Resource Selection
Fletcher, R., & Fortin, M. (2018) · Springer eBooks · doi:10.1007/978-3-030-01989-1_8 · Cited by 8 · see citing works
Mangewa, L. J., Ndakidemi, P. A., Alward, R. D., et al. (2024) · Resources · doi:10.3390/resources13080113 · Cited by 7 · see citing works
Multi-Level, Multi-Scale Modeling and Predictive Mapping for Jaguars in the Brazilian Pantanal
Bohnett, E., Hoctor, T., Hulse, D., Ahmad, B., Niebuhr, B., & Morato, R. (2020) · Open Journal of Ecology · doi:10.4236/oje.2020.105016 · Cited by 5 · see citing works
Xu, W.-J., Bernardes, S., Bacchus, S., & Madden, M. (2018) · Journal of Geoscience and Environment Protection · doi:10.4236/gep.2018.62012 · Cited by 3 · see citing works
“historic range, as a single breeding population in south Florida [7] [8].”
BackgroundMethodInfluentialBixby, J. J., Hoganson, H. M., & Wei, Y. (2019) · Forest Ecosystems · doi:10.1186/s40663-019-0176-0 · Cited by 3 · see citing works
Mapping potential habitat for naturally recolonizing cougars (Puma concolor) in Missouri, USA
Gregory, K., Bowersock, N. R., Anderson, C., Belant, J. L., & Gantchoff, M. G. (2025) · Global Ecology and Conservation · doi:10.1016/j.gecco.2025.e03881
Space Use and Resource Selection
Fletcher, R. J., & Fortin, M. (2025) · Springer eBooks · doi:10.1007/978-3-032-02424-4_8
Fighting for survival: context and extent of intraspecific killing among endangered Florida panthers
Bartareau, T. M. (2025) · Wildlife Research · doi:10.1071/wr25109
Zaragoza, G., & Fitak, R. R. (2026) · Biological Conservation · doi:10.1016/j.biocon.2026.111877
Predicting connectivity from movement trajectories and step selection
Fletcher, R. J., Iezzi, M., Marx, A. J., et al. (2026) · Ecography · doi:10.1002/ecog.08790
Conflicts and Collisions With an Endangered Carnivore: Landscape Drivers and Spatial Risk Pattern
Prat‐Guitart, M., Onorato, D. P., Hines, J. E., & Oli, M. K. (2026) · Ecology and Evolution · doi:10.1002/ece3.73931
- Authors
- Frakes, R. A., Belden, R. C., Wood, B. E., & James, F. E.
- Affiliations
- United States Fish and Wildlife Service (US)
- National Park Service (US)
- Corresponding author
- Frakes, Robert A.
- ORCID
- Frakes, Robert A.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-07-29
- Volume
- 10
- Issue
- 7
- Pages
- e0133044
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4519242
- OpenAlex
- W1826226320
- Semantic Scholar
- 9ee59bc371a4e217a3880f87826fa4c050cc764c
- Cited by
- 30
- References
- 34
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 4 · 2017: 1 · 2016: 1
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS ONE (publishedVersion, public-domain)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, public-domain)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Florida Fish and Wildlife Conservation Commission
- U.S. Fish and Wildlife Service
- National Park Service
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
- Keywords
- Florida panther, Puma concolor coryi, habitat suitability, home range, habitat selection, species distribution modeling, random forest, forest cover, forest edge, hydrology, human population density, roads, private land ownership, range expansion, sea level rise, South Florida
- MeSH terms
- Adult, Animals, Conservation of Natural Resources, Ecology, Female, Geography, Humans, Male, Models, Theoretical, Population Density, Ecosystem, Panthera
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-17.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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