The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index; none of the 36 sources its claims cite is checked for support yet.
Omnidirectional and omnifunctional connectivity analyses with a diverse species pool
Open accessAbstract
Connectivity among habitat patches in both natural and disturbed landscapes needs to be accounted for in conservation planning for biodiversity maintenance. Yet methods to assess connectivity are often limited, because simulating the dispersal of many species is computationally prohibitive, and current simulations make simplifying assumptions about movement that are potentially erroneous. Here we show how these limits can be circumvented and propose a novel framework for the assessment of omnifunctional and omnidirectional connectivity in a 28000 km2 area in the Laurentian region of Québec, Canada. Our approach relies on (i) the use of Omniscape , an improved version of Circuitscape which allows omnidirectional simulations that better emulate animal movement and (ii) the synthesis of large volume of species-level dispersal simulations through a posteriori clustering of the current intensity. Our analysis reveals that the movement of 93 species evaluated can be clustered into three functional dispersal guilds, corresponding to mostly aquatic species, terrestrial species able to use aquatic environments, and strictly terrestrial species. These functional guilds do not share connectivity hotspots, suggesting that corridor planning would need to account for the multiplicity of dispersal strategies. Although this approach requires a large volume of computing resources, it provides richer information on which landscape features are critical to maintain or need to be regenerated for broader biodiversity maintenance goals.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes an omnidirectional, omnifunctional connectivity framework that simulates dispersal for 93 species and clusters their connectivity maps a posteriori into functional dispersal guilds. In a 27,994 km² Québec study area, it finds three guilds whose connectivity hotspots rarely overlap, implying corridor planning must account for multiple dispersal strategies.
Key findings
- Simulating 93 species across the 27,994 km² Laurentian region yielded an optimal fuzzy C-means partition into three functional dispersal guilds, with representative species including the Horned grebe, American black bear, and Northern Two-lined Salamander.
- The two more terrestrial guilds were not correlated (rho = 0.054), while both were negatively correlated with the more aquatic guild (rho approx. −0.7), indicating that favoring terrestrial species alone can impede semi-aquatic movement.
- Protecting the best 17% of pixels for all guilds combined would cover approximately 40% of the territory, up to three times more surface than the best 17% pixels on average; very few aquatic habitats would be protected using the average classification.
- PDI identified 15 generalist species, including Canada Lynx (PDI = 0.45), moose (PDI = 0.44), Redheaded woodpecker (PDI = 0.27), and Hoary bat (PDI = 0.42); about 16% of species were classified as generalists.
Methods
- Study area: 27,994 km² on the north shore of the St. Lawrence River near Montréal, Québec, Canada; 93 species were selected from National Park lists, including 45 mammals, all 16 amphibians, 9 reptiles, and 15 avian species with conservation status plus additional records.
- Species-specific resistance maps were built at 2-m² cell resolution by summing land cover, slope, buildings, waterbodies, roads, trails, and railways, with resistance scores from 0 to 100; habitat preference data came from IUCN, Québec fauna guides, and expert-curated websites.
- Connectivity was simulated in Omniscape 0.1.2 with Julia 1.2.0 using three radii (30, 60, or 120 blocks of 180 m²), averaging quantiles of cumulative current; simulations required an estimated 3 core-years on the beluga supercomputer.
- Maps were aggregated with fuzzy C-means (fuzziness = 2) on a species-by-pixel matrix using Euclidean distances; the number of clusters was chosen by a heuristic requiring no positive significant correlation between clusters, and uncertainty was assessed with standard deviation, coefficient of variation, and Pielou’s evenness.
Limitations
- The paper states that the approach requires a large volume of computing resources, that fuzzy C-means lacks an established way to optimize the number of clusters, and that coefficient of variation is less appropriate than Pielou’s evenness because dispersal quantiles are bounded on an interval scale.
- The paper also notes heterogeneous habitat-preference data gathered from several sources.
- Evident from the text: this is a bioRxiv preprint not certified by peer review, data were not yet deposited (“will be deposited on DataDryad upon acceptance”), and the provided text omits appendices and some details such as the representative species for FDG2.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
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Claims the paper makes
0 of 36 cited sources checked · 0 supported · 0 flagged
- Findingown data
The movement of the 93 evaluated species can be clustered into three functional dispersal guilds, corresponding to mostly aquatic species, terrestrial species able to use aquatic environments, and strictly terrestrial species.
“Our analysis reveals that the movement of 93 species evaluated can be clustered into three functional dispersal guilds, corresponding to mostly aquatic species, terrestrial species able to use aquatic environments, and strictly terrestrial species.”
- Also stated in: § Guild clustering · plain
“From the 93 connectivity maps created, the fuzzy C-means identified an optimal fuzzy partitioning into three functional dispersal guilds”
Quote in the paperSubstantial claim - Also stated in: § Guild clustering · plain
- Findingown data
The functional dispersal guilds do not share connectivity hotspots.
“These functional guilds do not share connectivity hotspots”
Quote in the paperSubstantial claim - Findingown data
Areas where the needs of aquatic and terrestrial species are difficult to reconcile include the St Lawrence river itself and areas surrounding large water bodies such as Lac Taureau to the North.
“This includes, trivially, the St Lawrence river itself, but also areas surrounding large water bodies such as the Lac Taureau to the North.”
Quote in the paperNot a substantial claim - Findingown data
These species belong to different guilds representing three emergent dispersal landscapes that coexist within the study region.
“Furthermore, these species belong to different guilds representing three emergent dispersal landscapes that coexist within the study region.”
Quote in the paperSubstantial claim - Findingreasoning
Very few aquatic habitats would be protected using the average classification as a target.
“Furthermore, note that very few aquatic habitats would be protected using the average classification as a target.”
Quote in the paperSubstantial claim
- Findingown data
The two guilds for the more terrestrial species were not correlated (rho = 0.054).
“while the two guilds for the more terrestrial species were not correlated (rho = 0.054)”
Quote in the paperSubstantial claim - Findingown data
Fuzzy C-means identified an optimal grouping of three functional dispersal guilds only.
“Despite the large diversity of species and their habitat preferences, fuzzy C-means identified an optimal grouping of three functional dispersal guilds only.”
Quote in the paperSubstantial claim - Findingown data
Simple hierarchical clustering would have led to the same dispersal guilds.
“Although simple hierarchical clustering would have led to the same dispersal guilds”
Quote in the paperNot a substantial claim - Findingown data
Both terrestrial guilds were correlated negatively to the cluster with more aquatic species (rho approximately -0.7 in both cases).
“they were both correlated negatively to the cluster with more aquatic species (rho approx.-0.7 in both cases)”
Quote in the paperSubstantial claim - Findingreasoning
Protecting the top 17% of pixels for all guilds combined would cover up to three times more surface than the best 17% pixels on average.
“As a result, protecting the top 17% of pixels for all guilds combined would cover up to three times more surface than the best 17% pixels on average.”
Quote in the paperSubstantial claim - Findingnone given
The St-Lawrence lowlands performed uniformly worse in terms of connectivity.
“As expected, the St-Lawrence lowlands performed uniformly worse in terms of connectivity”
Quote in the paperNot a substantial claim - Findingnone given
The Canadian Shield shows high connectivity potential for the three guilds, especially FDG2.
“The Canadian shield, however, show high connectivity potential for the three guilds, especially FDG2.”
Quote in the paperSubstantial claim - Findingreasoning
The most connected areas of the guilds rarely overlap.
“their most connected areas rarely overlap.”
Quote in the paperSubstantial claim - Findingnone given
Only Fuzzy C-means allows to uncover the fact that some species are actually generalists.
“but only Fuzzy Cmeans allows to uncover the fact that some species are actually generalists.”
Quote in the paperSubstantial claim - Findingown data
The identification of the most connected pixels varies greatly depending on whether the FDGs, or the average connectivity, are used.
“as we illustrate in fig 4, the identification of the most connected pixels varies greatly depending on whether the FDGs, or the average connectivity, are used.”
Quote in the paperSubstantial claim - Findingown data
Methods identify three distinct groups of dispersal behaviour (guilds).
“methods identify three distinctives groups of dispersal behaviour (guilds)”
Quote in the paperSubstantial claim - Findingown data
The most representative species of the identified functional dispersal guilds include the Horned grebe, American black bear, and Northern Two-lined Salamander.
“whose most representative species are the Horned grebe (Podiceps auratus, Linnaeus, 1758) (FDG1; fig.3a), (FDG2; fig.3b), the American black bear (Ursus americanus, Linnaeus, 1758) and Northern Two-lined Salamander (Eurycea bislineata, Green, 1818) (FDG3; fig.3c).”
Quote in the paperNot a substantial claim - Findingown data
Applying PDI on the clustering weight identified 15 generalist species, including the Canada Lynx (PDI = 0.45) and moose (PDI = 0.44).
“Applying PDI on the clustering weight identified 15 generalist species, including notably the Canada Lynx (Lynx canadensis, Kerr, 1792) (PDI = 0.45), moose (Alces Alces, Linnaeus, 1758), (PDI = 0.44), Redheaded woodpecker”
Quote in the paperNot a substantial claim - Findingown data
Moose clustered with the common garter snake and many avian species.
“For example, this was notably the case for the clustering of moose (Alces alces, Linnaeus 1758) with the common garter snake (Thamnophis sirtalis, Linnaeus 1758) and many avian species, among others.”
Quote in the paperNot a substantial claim - Findingnone given
The pixels in panel B cover approximately 40% of the entire territory.
“The pixels in panel B cover approximately 40% of the entire territory”
Quote in the paperSubstantial claim - Findingown data
The results of the fuzzy C-means algorithm are directly comparable with a hierarchical clustering using Ward's agglomeration on the pre-squared distance matrix.
“as we show in fig 6, the results of the fuzzy C-means algorithm are directly comparable with a hierarchical clustering using Ward's agglomeration on the pre-squared distance matrix.”
Quote in the paperNot a substantial claim - Findingown data
About 16% of species were classified as generalists that contribute in similar proportions to all FDGs.
“Indeed, we identified about 16% of species classified as generalists that contribute in similar proportions to all FDGs.”
Quote in the paperSubstantial claim - Findingnone given
With the exception of these areas, the region is remarkably well connected overall.
“With the exception of these areas, the region is remarkably well connected overall.”
Quote in the paperNot a substantial claim - Findingnone given
Even in the more forested areas, more developed regions or axes corresponding to highways connecting the island of Montréal to smaller clusters of anthropogenic activity are easy to identify.
“Even in the more forested areas it is strikingly easy to identify more developed regions or axes, corresponding to highways connecting the island of Montréal to smaller clusters of anthropogenic activity.”
Quote in the paperNot a substantial claim - Findingown data
The coefficient of variation and Pielou's evenness for connectivity reveal areas in which the needs of species that favour either aquatic or terrestrial habitats are more difficult to reconcile.
“The coefficient of variation and Pielou's evenness for connectivity reveals areas in which the needs of species that favour either aquatic or terrestrial habitats are more difficult to reconcile (fig 4b, 4c).”
Quote in the paperSubstantial claim - Premisecitation
Freshwater and terrestrial ecosystems are naturally integrated through their watersheds.
“These ecosystems are naturally integrated through their watersheds”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ballinger and Lake, 2006 source
- Premisecitation
Merging species-level connectivity analyses for a large number of organisms requires reconciling the connectivity of possibly dozens of indicator species, not all of which may have unbiased habitat use models.
“One is to reconcile the connectivity of possibly dozens of indicator species, not all of which may have unbiased habitat use models”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Olden et al., 2002 source
- Premisecitation
Fuzzy C-means lacks an established way to optimize the number of clusters.
“Fuzzy C-means lacks an established way to optimize the number of clusters [12]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Hendriks, E. 2016. Les écosystèmes d’eau douce font face à des menaces imminentes. https://blog.wwf.ca/fr/2016/10/26/les-ecosystemes-deau-douce-font-face-a-des-menaces-imminentes/ (accessed 5.15.18).
- Premisecitation
Most connectivity studies focused on the needs of terrestrial species only.
“most studies focused on the needs of terrestrial species only (Appendix 1)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Appendix 1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
These studies have demonstrated that it is possible to create connectivity analyses for a large number of species, which may be ecologically more relevant.
“These studies have demonstrated that it is possible to create connectivity analyses for a large number of species, which may be ecologically more relevant.”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Most multi-species connectivity efforts have relied on the movement of a limited number of species.
“most efforts have often relied on the movement of a limited number of species (see Appendix 1)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Moilanen et al., 2005 source
- cites Appendix 1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The proposed a posteriori method accounts for the way species are predicted to move across the landscape by looking for similarities in their dispersal simulations, rather than in the cost matrix of these species.
“Our approach accounts for the way species are predicted to move across the landscape by looking for similarities in their dispersal simulations, rather than in the cost matrix of these species.”
Quote in the paperSubstantial claim - Premisecitation
Assessing connectivity across multiple types of habitats requires merging the results of several species-level connectivity analyses to account for the variety of ways in which different species react to different types of landscape elements.
“it requires to merge the results of several species-level connectivity analyses, to account for the variety of ways in which different species react to different types of landscape elements”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Albert et al., 2017 source
- Premisecitation
Omniscape allows omnidirectional simulations that better emulate animal movement.
“Omniscape, an improved version of Circuitscape which allows omnidirectional simulations that better emulate animal movement”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McRae et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The approach provides richer information on which landscape features are critical to maintain or need to be regenerated for broader biodiversity maintenance goals.
“it provides richer information on which landscape features are critical to maintain or need to be regenerated for broader biodiversity maintenance goals”
Quote in the paperSubstantial claim - Interpretationown data
With regards to landscape connectivity, preconceived ideas of species groupings do not apply.
“This counterintuitive association demonstrates that with regards to landscape connectivity, our preconceived ideas of species groupings do not apply.”
Quote in the paperSubstantial claim - Premiseown data
This is a lower number of classes than most multi-species simulations have been using.
“Surprisingly this is a lower number of classes than most multi-species simulations have been using”
Quote in the paperNot a substantial claim - Interpretationown data
The three functional guilds have very high complementarity.
“suggesting that the three functional guilds have very high complementarity.”
Quote in the paperSubstantial claim - Interpretationreasoning
Pielou's evenness is a more appropriate measure than the coefficient of variation for these data.
“the later is a more appropriate measure.”
Quote in the paperNot a substantial claim - Interpretationnone given
A priori selection of indicator species risks either underrepresenting or over representing different dispersal modes.
“By contrast, the a priori selection of indicator species risks either underrepresenting or over representing different dispersal modes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Under a non-fuzzy scheme, information about generalist species would be lost as species would be forced into one guild only.
“Under a non-fuzzy scheme, this information would be lost as species would be forced into one guild only.”
Quote in the paperSubstantial claim - Premisecitation
Previous methods to suggest surrogate species for connectivity modeling resulted in a larger number of species (e.g. between 5 to 7 for Meurant et al. 2018).
“Previous methods to suggest surrogate species for connectivity modeling also resulted in a larger number of species (e.g. between 5 to 7 for Meurant et al. 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Meurant et al. 2018 source
- Premisenone given
Both the coefficient of variation and Pielou's evenness provide similar information, namely the homogeneity in the use of every pixel by the three FDGs.
“although both the coefficient of variation and Pielou's evenness provide a similar information (namely, the homogeneity in the use of every pixel by the three FDGs)”
Quote in the paperNot a substantial claim - Interpretationown data
The needs of aquatic and semi-aquatic species are different.
“This reveals not only that the needs of aquatic and semi-aquatic species are different”
Quote in the paperSubstantial claim - Interpretationown data
Favoring terrestrial species only in connectivity planning will impede the movement of semi-aquatic species.
“favoring terrestrial species only in connectivity planning will impede the movement of semi-aquatic species”
Quote in the paperSubstantial claim - Premisereasoning
Fuzzy C-means allows species to contribute relatively among dispersal guilds.
“We have used fuzzy C-means to cluster the species into FDGs, as it represents a more objective approach in which species are able to contribute relatively among dispersal guilds.”
Quote in the paperSubstantial claim - Interpretationreasoning
The rich information of the movement of generalist species among guilds could only be achieved using the fuzzy C-means approach.
“the rich information of the movement of generalists species among guilds could only be achieved using the fuzzy C-means approach.”
Quote in the paperSubstantial claim
- Probably not a substantial claim. 35
- It may state two separate claims as one. 21
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenSemi-aquatic species form a guild on their own.
“Indeed, semi-aquatic, which form a guild on their own, are often neglected.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenThe Canada Lynx (Lynx canadensis) has a PDI of 0.45.
“including notably the Canada Lynx (Lynx canadensis, Kerr, 1792) (PDI = 0.45)”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingnone givenSt. Lawrence Lowlands have areas with medium connectivity potential for FDG1 and FDG2 but are globally lowly connected and do not have real potential to facilitate the movement of species from FDG3.
“St. Lawrence Lowlands have areas with medium connectivity potential for FDG1 and FDG2 but are globally lowly connected and do not have real potential to facilitate the movement of species from FDG3.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataSpecies of open and undisturbed Lawrence Lowlands have a lower connectivity overall, though some more intact habitats running parallel to the shore allow for traversal.
“A. FDG1 -Species of open and undisturbed Lawrence Lowlands have a lower connectivity overall, though some more intact habitats running parallel to the shore allow for traversal.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataFDG3 tends to have almost unrestricted movement outside of the lowlands, while FDG2 is predicted to be more canalized in some places.
“FDG3 tends to have almost unrestricted movement outside of the lowlands, while FDG2 is predicted to be more canalized in some places.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataSome areas running parallel to the shore in the St-Lawrence lowlands can work as dispersal avenues, though these are mostly used by FDG3.
“with nevertheless some areas running parallel to the shore that can work as dispersal avenues (fig 3a), though these are mostly used by FDG3.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenHoary bat (Aeorestes cinereus) has a PDI of 0.42.
“Hoary bat (Aeorestes cinereus, Beauvois, 1796) (PDI = 0.42)”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenMoose (Alces alces) has a PDI of 0.44.
“moose (Alces Alces, Linnaeus, 1758), (PDI = 0.44)”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAll identified guilds share a very poor connectivity score in the lowlands, although FDG3 can use some wooded areas for east-west traversal, and differ in how they use the rest of the study area.
“All of these guilds share a very poor connectivity score in the lowlands (although FDG3 can use some of the wooded areas for east-west traversal), and differ in how they use the rest of the study area.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenRedheaded woodpecker (Melanerpes erythrocephalus) has a PDI of 0.27.
“Redheaded woodpecker (Melanerpes erythrocephalus, Linnaeus, 1758) (PDI = 0.27)”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataConnectivity is lower in the St Lawrence Lowlands, which is more impacted by anthropogenic activities, and generally better in the forested areas of the Canadian Shield.
“We found that connectivity is lower in the St Lawrence Lowlands, which is more impacted by anthropogenic activities, and generally better in the forested areas of the Canadian Shield.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenSimulating the dispersal of many species is computationally prohibitive.
“simulating the dispersal of many species is computationally prohibitive”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationRoads have an effect on species dispersal at a broader scale (150 m), with the resistance score decreasing according to the distance from the road.
“For the roads, we have accounted for their effect on a broader scale (150 m), with the resistance score decreasing according to the distance from the road”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Forman and Alexander, 1998 source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationSantini et al. (2016) selected all 20 nonvolant mammal species of Italy that had a dispersal ability of a median of 3 km to identify defragmentation priorities.
“Santini et al. (2016) selected all the 20 nonvolant mammal species of Italy that had a dispersal ability of a median of 3 km to identifying defragmentation priorities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Santini et al. (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationAnalysing connectivity according to the needs of a diverse number of species should lead to a more robust and realistic output, as a small number of focal species seldom encompass the whole range of dispersal behaviours.
“It should lead to a more robust and realistic output, as a small number of focal species seldom encompass the whole range of dispersal behaviours”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim.
PremisecitationFuzzy C-means allows species to contribute to more than a single cluster, as captured by the fuzziness parameter.
“This approach allows to have species contribute to more than a single cluster”
Quote in the paperSubstantial claim0 of 2 sources checkedIt may state two separate claims as one.
PremisecitationWithout proper consideration of connectivity to freshwater habitats, downstream health of river reaches could degrade and critical riparian wetlands could dry up, resulting in both terrestrial and freshwater biodiversity loss.
“without proper consideration of connectivity to freshwater habitats (lakes and rivers), downstream health of river reaches could degrade and critical riparian wetlands could dry up, resulting in both terrestrial and freshwater biodiversity loss”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Herbert et al., 2010 source
- cites Smith et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Interpretationown dataThe study area has a high aquatic surface (19.8%), which supports the need to account for more semiaquatic species in the simulations.
“This high aquatic surface supports the need to account for more semiaquatic species in our simulations.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThese eco-profiles were designed through dimensionality reduction based on species connectivity and habitat needs, either using clustering or multivariate analysis.
“These eco-profiles were designed through dimensionality reduction based on species connectivity and habitat needs, either using clustering or multivariate analysis.”
Quote in the paperNot a substantial claim0 of 2 sources checkedIt may state two separate claims as one.
PremisecitationPDI has the property of returning values lower than 0.5 for generalist species and values above 0.5 for specialist species.
“which has the desirable property of returning values that are lower than 0.5 for generalist species, and values above 0.5 for specialist species”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Poisot et al., 2012 source
Probably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenEven a pool of 20 species cannot represent the entire functional diversity of realistic communities.
“even a pool of 20 species cannot represent the entire functional diversity of realistic communities”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationAlbert et al. (2017) and Sahraoui et al. (2017) selected 14 and 16 eco-profiles respectively, each composed of one or more species, to represent a broader range of dispersal behaviours and habitat requirements.
“Albert et al. (2017) and Sahraoui et al. (2017) selected 14 and 16 eco-profiles respectively, each composed of one or more species, in order to represent a broader range of dispersal behaviours and habitat requirements.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe three studies created composite maps by summing the single-species results or by calculating the mean score for each patch of habitat.
“The three studies have created composite maps by summing the single-species results or by calculating the mean score for each patch of habitat.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
PremisereasoningBecause species clustering is done before the simulations, this assumes that species connectivity depends on habitat requirements alone and neglects differences that could emerge due to landscape configuration.
“because species clustering is done before the simulations, this assumes that species connectivity depends on habitat requirements alone and neglects differences that could emerge due to landscape configuration”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationOnly 7% of connectivity studies were conducted on fluvial habitats, while terrestrial ecosystems represent 88% of research efforts on this topic between 2000 and 2013.
“only 7% of connectivity studies were conducted on fluvial habitats, while terrestrial ecosystems represent 88% of research efforts on this topic between 2000 and 2013”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Correa Ayram et al. (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationcitationThe watershed is the most ecologically relevant unit in which connectivity should be assessed.
“therefore we argue that this is the most ecologically relevant unit in which connectivity should be assessed”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationFreshwater biodiversity is considered the most imperiled globally, suggesting that the need to include aquatic and semi-aquatic species is urgent.
“freshwater biodiversity is considered the most imperiled globally (Hendriks, 2016), suggesting that the need to include aquatic and semi-aquatic species is urgent”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hendriks, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
InterpretationreasoningDeveloping a general framework to include connectivity across ecosystem types, with a diverse set of species, is an achievable and timely task.
“developing a general framework to include connectivity across ecosystem types, with a diverse set of species, is an achievable and timely task”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationSantini et al. (2016) tested seven other ways to merge species-specific maps, using weighted means of different landscape features to assess link probabilities, and two different summation types for nodes in the network.
“Santini et al (2016) went even further by testing seven other ways to merge the species-specific maps, using weighted means of different landscape features to assess link probabilities, and two different summation types for nodes in the network.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Santini et al (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenCurrent connectivity simulations make simplifying assumptions about movement that are potentially erroneous.
“current simulations make simplifying assumptions about movement that are potentially erroneous”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
Interpretationown dataCorridor planning would need to account for the multiplicity of dispersal strategies.
“suggesting that corridor planning would need to account for the multiplicity of dispersal strategies”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
PremisecitationTo evaluate landscape connectivity for entire communities, a territory's features should be analysed according to the needs of a diverse number of terrestrial and aquatic species.
“it has been suggested to analyse a territory's features according to the needs of a diverse number of terrestrial and aquatic species”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenSelected species pools continue to undervalue the contribution of semiaquatic species and their habitats to landscape connectivity.
“selected species pools continue to under value the contribution of semiaquatic species and their habitats to landscape connectivity”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
InterpretationreasoningThis new way of interpreting and post-processing connectivity simulations will result in a more integrative view of landscape connectivity to favour biodiversity maintenance in the long-term.
“will result in a more integrative 127 view of landscape connectivity to favour biodiversity maintenance in the long-term”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenThe guilds are optimized to maximize the differences between them.
“Because the guilds are optimized to maximize the differences between them”
Quote in the paperNot a substantial claimProbably not a substantial claim.
InterpretationreasoningConservation actions that neglect the protection of a specific guild due to poor representativity of indicator species could have overall negative consequences on biodiversity maintenance of the entire region.
“Conservation actions that may neglect the protection of a specific guild due to poor representativity of indicator species could have overall negative consequences on the biodiversity maintenance of the entire region.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Interpretationnone givenSpecialist species, or species with high affinity for a specific FDG, can be good indicator species.
“Whereas specialist species, or species with high affinity for a specific FDG can be good indicator species”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenGeneralist species can provide an overall view of landscape connectivity.
“generalist species can provide an overall view of landscape connectivity.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Premisenone givenHigh values of Pielou's evenness correspond to more similar connectivity across FDGs.
“Note that the color scale has been inverted, to reflect the fact that high values correspond to more similar connectivity across FDGS.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
Premisenone givenAverage connectivity gives an idea of dispersal potential, and the coefficient of variation and evenness inform about the areas in which the guilds differ markedly in their landscape use.
“The average connectivity gives an idea of dispersal potential, and the coefficient of variation and evenness informs about the areas in which the guilds differ markedly in their landscape use.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationreasoningOur approach offers a road map for future connectivity assessments.
“our approach offers a road map for future connectivity assessments.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenOur approach was the first to assess connectivity across such a large heterogeneous landscape, by accounting for the full taxonomic diversity of both terrestrial and semi-aquatic species.
“Although this result was expected, our approach was the first to assess connectivity across such a large heterogeneous landscape, by accounting for the full taxonomic diversity of both terrestrial and semi-aquatic species.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningWe provide the most robust and fully integrated terrestrial and aquatic multi-dispersal connectivity assessment at a regional scale.
“Here we provide, to our knowledge, the most robust and fully integrated terrestrial and aquatic multi-dispersal connectivity assessment at a regional scale.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
InterpretationreasoningOnce initial clustering is made, the entire species list may no longer be required for subsequent simulations carried out for the same region.
“Once initial clustering is made, the entire species list may no longer be required for subsequent simulations carried out for the same region.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence.
Interpretationnone givenThe integration of the multiple dispersal pathways provides a robust connectivity conservation plan.
“The integration of the multiple dispersal pathways provides a robust connectivity conservation plan”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisereasoningClustering returns groups of species based on predicted dispersal, and therefore represents a process to select indicator species within each guild.
“Clustering returns groups of species based on predicted dispersal, and therefore represents a process to select indicator species within each guild.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Premisenone givenValues larger than unity are generally regarded as noise.
“Values on the map have been capped at 1, as values larger than unity are generally regarded as noise.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
Premisenone givenThe coefficient of variation performs better on ratio scales, whereas the quantiles of dispersal, being bounded, are expressed on an interval scale.
“Although widely used, the coefficient of variation performs better on ratio scales, whereas the quantiles of dispersal, being bounded, are expressed on an interval scale.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Species use the landscape without knowing it entirely; they are aware of their immediate surroundings but not of the entire landscape.
“Indeed, species use the landscape 193 without knowing it entirely, which is assumed by the least-cost analysis”
“which amounts to assuming that the species is aware of its 192 immediate surroundings, but not of the entire landscape”
The paper relies on this without support.
Semi-aquatic species are often neglected.
“Indeed, semi-aquatic, which form a guild on their own, are often neglected.”
The paper relies on this without support.
Current conservation strategies often neglect the diversity of ways in which species actually use the landscape, since they focus largely on terrestrial species.
“Yet, current conservation strategies often neglect the diversity of ways in which species actually use the landscape, since they focus largely on terrestrial species.”
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.
Discussion reverses the order of clustering and averaging
MinorThe methods say the final average was calculated from cluster centroids after clustering. The discussion instead says the average connectivity map was classified using fuzzy C-means.
“We then classified the multi-model average of connectivity maps using Fuzzy C-means, to provide a regional average (Fig. 4a).”
“To produce the final connectivity map, we averaged the scores for the centroids of the clusters identified in the previous step”
Cluster-matrix columns are assigned to the wrong dimension
MinorThe text defines s as the number of species. In a c-by-s matrix, each column corresponds to a species and each row to a cluster, not the other way around.
“Fuzzy C-means results in a c by s matrix, where c is the number of clusters; every column in this matrix is therefore the contribution of all species to a cluster.”
“with s the number of species and p the number of pixels with non-null connectivity values”
Citations
Cites
Pattern Recognition with Fuzzy Objective Function Algorithms
Bezdek, J. C. (1981) · doi:10.1007/978-1-4757-0450-1 · Cited by 9,881
Julia: A Fresh Approach to Numerical Computing
Bezanson, J., Edelman, A., Karpinski, S., & Shah, V. B. (2017) · SIAM Review · doi:10.1137/141000671 · Cited by 5,440
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
A global synthesis reveals biodiversity loss as a major driver of ecosystem change
Hooper, D. U., Adair, E. C., Cardinale, B. J., Byrnes, J. E. K., Hungate, B. A., Matulich, K. L., Gonzalez, A., Duffy, J. E., Gamfeldt, L., & O’Connor, M. I. (2012) · Nature · doi:10.1038/nature11118 · Cited by 2,406
ROADS AND THEIR MAJOR ECOLOGICAL EFFECTS
Forman, R. T. T., & Alexander, L. E. (1998) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.29.1.207 · Cited by 2,364
USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
McRae, B. H., Dickson, B. G., Keitt, T. H., & Shah, V. B. (2008) · Ecology · doi:10.1890/07-1861.1 · Cited by 2,244
Moilanen, A., Franco, A. M. A., Early, R. I., Fox, R., Wintle, B., & Thomas, C. D. (2005) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2005.3164 · Cited by 480
Connectivity for conservation: a framework to classify network measures
Rayfield, B., Fortin, M.-J., & Fall, A. (2011) · Ecology · doi:10.1890/09-2190.1 · Cited by 391
Thompson, P. L., Rayfield, B., & Gonzalez, A. (2016) · Ecography · doi:10.1111/ecog.02558 · Cited by 302
Relative effects of road mortality and decreased connectivity on population genetic diversity
Jackson, N. D., & Fahrig, L. (2011) · Biological Conservation · doi:10.1016/j.biocon.2011.09.010 · Cited by 290
Connectivity Planning to Address Climate Change
Nuñez, T. A., Lawler, J. J., McRae, B. H., Pierce, D. J., Krosby, M., Kavanagh, D. M., Singleton, P. H., & Tewksbury, J. J. (2013) · Conservation Biology · doi:10.1111/cobi.12014 · Cited by 239
Albert, C. H., Rayfield, B., Dumitru, M., & Gonzalez, A. (2017) · Conservation Biology · doi:10.1111/cobi.12943 · Cited by 226
Energy and nutrient fluxes from rivers and streams into terrestrial food webs
Ballinger, A., & Lake, P. S. (2006) · Marine and Freshwater Research · doi:10.1071/mf05154 · Cited by 159
Identifying Corridors among Large Protected Areas in the United States
Belote, R. T., Dietz, M. S., McRae, B. H., Theobald, D. M., McClure, M. L., Irwin, G. H., McKinley, P. S., Gage, J., & Aplet, G. H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154223 · Cited by 158
A comparative study of ecological specialization estimators
Poisot, T., Canard, E., Mouquet, N., & Hochberg, M. E. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2011.00174.x · Cited by 156
Self-citationTerrestrial Reserve Networks Do Not Adequately Represent Aquatic Ecosystems
HERBERT, M. E., MCINTYRE, P. B., DORAN, P. J., ALLAN, J. D., & ABELL, R. (2010) · Conservation Biology · doi:10.1111/j.1523-1739.2010.01460.x · Cited by 99
A multi-species approach for assessing the impact of land-cover changes on landscape connectivity
Sahraoui, Y., Foltête, J.-C., & Clauzel, C. (2017) · Landscape Ecology · doi:10.1007/s10980-017-0551-6 · Cited by 98
Identifying multispecies connectivity corridors and the spatial pattern of the landscape
TONYALOĞLU, E. E., Jørgensen, A., & Warren, P. H. (2018) · Urban forestry & urban greening · doi:10.1016/j.ufug.2018.08.001 · Cited by 91
Selecting surrogate species for connectivity conservation
Meurant, M., Gonzalez, A., Doxa, A., & Albert, C. H. (2018) · Biological Conservation · doi:10.1016/j.biocon.2018.09.028 · Cited by 86
Characterising landscape connectivity for conservation planning using a dispersal guild approach
Lechner, A. M., Sprod, D., Carter, O., & Lefroy, E. C. (2016) · Landscape Ecology · doi:10.1007/s10980-016-0431-5 · Cited by 79
What drives fine‐scale movements of large herbivores? A case study using moose
Leblond, M., Dussault, C., & Ouellet, J. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06104.x · Cited by 77
Liu, C., Newell, G., White, M., & Bennett, A. F. (2018) · PLOS ONE · doi:10.1371/journal.pone.0206071 · Cited by 74
Multi-species genetic connectivity in a terrestrial habitat network
Marrotte, R. R., Bowman, J., Brown, M. G. C., Cordes, C., Morris, K. Y., Prentice, M. B., & Wilson, P. J. (2017) · Movement Ecology · doi:10.1186/s40462-017-0112-2 · Cited by 50
Partial migration or just habitat selection? Seasonal movements of roe deer in an Alpine population
Gaudry, W., Saïd, S., Gaillard, J.-M., Chevrier, T., Loison, A., Maillard, D., & Bonenfant, C. (2015) · Journal of Mammalogy · doi:10.1093/jmammal/gyv055 · Cited by 38
Flagged first, then by citations
Research works printed but not linked: 1
- Smith, T.M. , Smith, R.L. , Waters, I. (2014). Elements of Ecology (1st Canadian Edition). Toronto, Ontario: Pearson Canada.
Cited by
Sorted by citations
Visualizing Connectivity for Wildlife in a World Without Roads
de Rivera, C. E., Bliss-Ketchum, L., Lafrenz, M. D., Hanson, A. V., McKinney-Wise, L. E., Rodriguez, A. H., Schultz, J., Simmons, A., Taylor‐Rodríguez, D., Temple, A. H., et al. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.757954 · Cited by 22
Bohnett, E., Oetting, J., Noss, R. F., O’Brien, M. A., Frakes, R. A., Smith, D., 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
Silva, I., Bohnett, E., Volk, M., Noss, R. F., Oetting, J., & Hoctor, T. (2026) · Conservation · doi:10.3390/conservation6010022 · Cited by 2
Zhao, J., Hepinstall‐Cymerman, J., Rivero, R. G., & Madden, M. (2026) · Landscape Ecology · doi:10.1007/s10980-026-02432-w
Metadata
- Authors
- Tessier, D. L., Maranger, R., & Poisot, T.
- Affiliations
- Université de Montréal (CA)
- Venue
- bioRxiv
- Publisher
- openRxiv
- Published
- 2020-02-03
- OpenAlex
- W3003889230
- Cited by
- 4
- References
- 25
- Citations by year
- 2026: 2 · 2024: 1 · 2022: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (submittedVersion, cc-by)
- Funders
- Compute Canada
- Ministère de l'Économie, de la Science et de l'Innovation - Québec
- Groupe de recherche interuniversitaire en limnologie
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- habitat connectivity, species dispersal, Circuitscape, landscape corridors, conservation planning, biodiversity maintenance
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.
A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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.
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