Forest loss during 2000–2019 in pygmy hippopotamus (Choeropsis liberiensis) habitats was driven by shifting agriculture
Open accessAbstract
Summary: The Upper Guinea Forest (UGF; West Africa), a global biodiversity hotspot, has lost more than 90% of its original area since 1900, threatening endemic species such as the endangered pygmy hippopotamus (Choeropsis liberiensis). However, little is known about the proximate causes of this deforestation. We classified Sentinel-2 data using the random forest algorithm to differentiate between three main human processes (shifting agriculture, intensive agriculture or urban expansion) driving deforestation between 2000 and 2019 across the pygmy hippopotamus distribution area. Out of c. 89 600 km 2 in the year 2000, 15 900 km 2 (17%) of forest were lost, primarily to shifting agriculture (14 900 km 2). Côte d’Ivoire and Liberia accounted for 14 900 km 2 (94%) of the net area of forest lost, c. 15 times greater than deforestation in Sierra Leone and Guinea combined (953 km 2). Forest loss inside protected areas is pervasive, and it is essential to prioritize conservation efforts in areas where deforestation is still low (e.g., Taï, Sapo and Gola Rainforest national parks). We suggest that the preservation of the UGF will face challenges associated with people’s demand for food and income. Continued landscape-scale planning and action to reduce deforestation are urgently needed to limit the impact of shifting agriculture on pygmy hippopotamus habitat.
AI snapshot
Written from the paper’s full text.
TL;DR
Using Sentinel-2 imagery and a random forest classifier, the study maps 2000–2019 forest loss across the pygmy hippopotamus range in the Upper Guinea Forest and finds that c. 15,900 km² was lost, overwhelmingly to shifting agriculture. Protected areas also lost forest, but Taï, Sapo and Gola Rainforest national parks retained most intact habitat.
Key findings
- Of c. 89,600 km² of forest with ≥50% canopy cover in 2000, 15,900 km² (17%) was lost by 2019; shifting agriculture accounted for 14,868 km² (93.4%), urban expansion 889 km² (5.6%) and intensive agriculture 144 km² (1.0%).
- Côte d’Ivoire and Liberia accounted for 14,948 km² (94%) of net forest loss, c. 15 times greater than Sierra Leone and Guinea combined (953 km²); normalized loss was highest in Sierra Leone (15.9%), followed by Côte d’Ivoire (12.3%), Liberia (9.6%) and Guinea (8.0%).
- Inside protected areas, 4,835 km² (15.8%) of forest was lost; shifting agriculture drove 4,568 km² (93.5%), urban expansion 254 km² (5.6%) and intensive agriculture 13 km² (1.0%). Liberia had the highest normalized protected-area loss (33.7%), followed by Côte d’Ivoire (15.5%).
- Taï, Gola Rainforest and Sapo national parks account for 25% of protected habitat in the pygmy hippopotamus distribution but only 2% of deforestation inside protected areas; forest loss there was negligible and unrelated to the assessed drivers.
Methods
- The study area was the known pygmy hippopotamus distribution (140,221 km² across Guinea, Sierra Leone, Liberia and Côte d’Ivoire). Forest loss was identified using the Hansen Global Forest Change dataset v1.7 (2000–2019), limited to areas with ≥50% canopy cover in 2000 (89,614 km²). Sentinel-2 level 2A 10-m imagery from 2019 (n = 3,108) was cloud-masked, and eight spectral indices plus composite metrics yielded 182 covariate layers.
- A random forest model with 300 trees classified forest-loss pixels into three driver categories: shifting agriculture, intensive agriculture and urban expansion. Training used 1,150 points and independent accuracy assessment used 450 points; a majority filter removed isolated pixels. Overall accuracy was 87%, with class accuracies of 96% for urban expansion, 86% for intensive agriculture and 81% for shifting agriculture.
- Protected-area analysis used 87 declared protected areas partially or totally inside the pygmy hippopotamus range, covering 30,669 km² (22% of the study area), from UNEP-WCMC and IUCN. Driver areas were computed by country inside and outside protected areas.
Limitations
- Stated: persistent cloud cover and spectral similarity between forests and plantations often caused driver misclassification; the low number of cloud-free images and similar spectral signatures led the authors to combine driver classes into three broad categories. Training data were not collected where high-resolution imagery was unavailable or clouds were prevalent, such as southern Liberia and western Côte d’Ivoire.
- Stated: the classification model could be improved by including more drivers (e.g., individual crops, fire). The authors note that high cloud prevalence and spectral similarity remain limitations, and that newer sensors could help but may be costly and involve trade-offs such as reduced spectral resolution.
- Evident from the text: livestock grazing areas were merged into the “shifting agriculture” class because their spectral signatures and image interpretation cues were similar, so that class likely includes grazing as well as smallholder cultivation.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
8 of 42 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
Rapid population growth will probably involve further deforestation, even in protected areas.
“Although 'Urban expansion' was not the most important driver of forest loss in our study area, rapid population growth will probably involve further deforestation, even in protected areas (Fig. 4).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Seto et al. 2012 source
The Abstract forecasts substantial urban expansion and habitat loss, and the Discussion describes land clearing and forest degradation associated with that expansion. The paper does not establish that rapid population growth will cause deforestation in protected areas; its Discussion also notes uncertainty about population growth as a driver of urban expansion. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Some of the pygmy hippopotamus decline was related to hunting for bushmeat and other purposes during times of internal conflict in the region.
“Some of this decline was related to hunting for bushmeat and other purposes during times of internal conflict in the region (Conway 2013, Conway et al. 2015).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Conway 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Conway et al. 2015 source
The Introduction identifies poaching as a factor in pygmy hippo decline, and “Pygmy hippo ecology and human-hippo interactions” reports hunting and consumption of pygmy hippo meat. The paper mentions the civil war in “Local perceptions of the benefits of pygmy hippo conservation,” but does not link hunting or the decline to periods of internal conflict. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Pygmy hippopotami are known to inhabit the protected areas within their range.
“There are 87 protected areas covering 30 669 km 2 that are partially or totally located inside the pygmy hippopotamus's range (UNEP-WCMC & IUCN 2021), and pygmy hippopotami are known to inhabit them (Roth et al. 2004, Collen et al. 2011, Garteh 2013, Conway et al. 2015, Bogui et al. 2016, Hillers et al. 2017, Ouattara et al. 2018).”
Quote in the paperNot a substantial claim1 of 3 sources checked - Interpretationcitation
Our results align with Spracklen et al. (2015), who found that Côte d'Ivoire had some of the highest rates of deforestation inside and within 10 km of protected areas (0.5% year−1) in West Africa between 2000 and 2012.
“Despite some methodological differences, our results align with those of Spracklen et al. (2015), who found that Côte d'Ivoire had some of the highest rates of deforestation inside and within 10 km of protected areas (0.5% year -1 ) in West Africa between 2000 and 2012.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Spracklen et al. (2015) source
The Results (page not available) report elevated deforestation within protected areas in West Africa during 2000–2012, and describe analyses of surrounding buffers. The passages do not identify Côte d’Ivoire as having among the highest rates or give a 0.5% per year rate inside and within 10 km of its protected areas. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingown data
15,900 km2 (17%) of forest were lost between 2000 and 2019 in the pygmy hippopotamus distribution area.
“Out of c. 89 600 km 2 in the year 2000, 15 900 km 2 (17%) of forest were lost, primarily to shifting agriculture (14 900 km 2 ).”
Quote in the paperSubstantial claim
- Findingown data
Forest loss inside protected areas mainly occurred in northern, southern and western Côte d'Ivoire, as opposed to eastern and central protected areas within the study area.
“Forest loss inside protected areas mainly occurred in northern, southern and western Côte d'Ivoire, as opposed to eastern and central protected areas within the study area.”
Quote in the paperNot a substantial claim - Findingown data
'Urban expansion' contributed 5.6% of forest loss within the pygmy hippopotamus distribution.
“Our driver classification model indicated that almost all forest loss within the pygmy hippopotamus distribution is attributable to 'Shifting agriculture' (93.4%), with minor contributions from 'Urban expansion' (5.6%) and 'Intensive agriculture' activities (1%; Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Industrial agriculture in the study area corresponds mainly to oil palm, tea and cocoa.
“Our results indicate that industrial agriculture in the study area corresponds mainly to oil palm, tea and cocoa; however, cocoa plantations are common across West Africa, with Côte d'Ivoire producing 40-50% of the world's cocoa (Smith Dumont et al. 2014, Wessel & Quist-Wessel 2015).”
Quote in the paperNot a substantial claim - Findingown data
In the year 2000 there were c.89,600 km2 of forest with 50% canopy cover in the study area.
“In the year 2000 there were c. 89 600 km 2 of forest with 50% canopy cover in the study area.”
Quote in the paperNot a substantial claim - Findingown data
Almost all forest loss within the pygmy hippopotamus distribution is attributable to 'Shifting agriculture' (93.4%).
“Our driver classification model indicated that almost all forest loss within the pygmy hippopotamus distribution is attributable to 'Shifting agriculture' (93.4%), with minor contributions from 'Urban expansion' (5.6%) and 'Intensive agriculture' activities (1%; Table 1).”
- Also stated in: § Abstract · plain
“Out of c. 89 600 km 2 in the year 2000, 15 900 km 2 (17%) of forest were lost, primarily to shifting agriculture (14 900 km 2 ).”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Forest loss due to 'Urban expansion' was concentrated along the border, in western Côte d'Ivoire and north-eastern Liberia, with a small extent in Sierra Leone and Guinea.
“Forest loss due to 'Urban expansion' was concentrated along the border, in western Côte d'Ivoire and north-eastern Liberia, with a small extent in Sierra Leone and Guinea (Fig. 3 & Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Almost 16% of the forest with ≥50% canopy cover inside protected areas was lost between 2000 and 2019.
“Almost 16% of the forest with ≥50% canopy cover inside protected areas was lost between 2000 and 2019, with 'Shifting agriculture' being the main driver of deforestation.”
Quote in the paperSubstantial claim - Findingown data
Protected areas within the pygmy hippopotamus's range accounted for 30,669 km2 (22%) of the study area.
“Protected areas within the pygmy hippopotamus's range accounted for 30 669 km 2 (22%) of the study area.”
Quote in the paperNot a substantial claim - Findingown data
Forest loss in Côte d'Ivoire and Liberia was c.15 times greater than in Sierra Leone and Guinea combined (953 km2).
“Côte d'Ivoire and Liberia accounted for 94% (14 948 km 2 ) of the net area of forest lost, c. 15 times greater than the forest loss areas of Sierra Leone and Guinea combined (953 km 2 ; Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Shifting agriculture was the main driver of deforestation inside protected areas.
“Almost 16% of the forest with ≥50% canopy cover inside protected areas was lost between 2000 and 2019, with 'Shifting agriculture' being the main driver of deforestation.”
Quote in the paperSubstantial claim - Findingown data
'Intensive agriculture' contributed 1% of forest loss within the pygmy hippopotamus distribution.
“Our driver classification model indicated that almost all forest loss within the pygmy hippopotamus distribution is attributable to 'Shifting agriculture' (93.4%), with minor contributions from 'Urban expansion' (5.6%) and 'Intensive agriculture' activities (1%; Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Sierra Leone lost 765 km2 (4.8%) of forest between 2000 and 2019.
“Only 3.4% (4814 km 2 ) of the pygmy hippopotamus distribution falls within Sierra Leone's territory, of which 765 km 2 (4.8%) of forest were lost between 2000 and 2019.”
Quote in the paperNot a substantial claim - Findingown data
In Liberia, intense forest loss was evidenced in the southern and western regions of the country.
“Similar trends were detected in Liberia, where intense forest loss was evidenced in the southern and western regions of the country.”
Quote in the paperNot a substantial claim - Findingown data
Côte d'Ivoire and Liberia accounted for 94% (14,948 km2) of the net area of forest lost.
“Côte d'Ivoire and Liberia accounted for 94% (14 948 km 2 ) of the net area of forest lost, c. 15 times greater than the forest loss areas of Sierra Leone and Guinea combined (953 km 2 ; Table 1).”
Quote in the paperNot a substantial claim - Findingown data
In Liberia, western protected areas were the most affected by forest loss.
“In Liberia, western protected areas were the most affected (Fig. 4).”
Quote in the paperNot a substantial claim - Findingown data
'Intensive agriculture' represented <1% (13 km2) of deforestation caused inside protected areas.
“'Intensive agriculture' represented <1% (13 km 2 ) of deforestation caused inside protected areas (Fig. 4 & Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Côte d'Ivoire has lost 9019 km2 to 'Shifting agriculture' activities.
“In contrast, Côte d'Ivoire has lost almost two orders of magnitude more area to 'Shifting agriculture' activities (9019 km 2 ; Appendix S1).”
Quote in the paperNot a substantial claim - Findingreasoning
These protected areas are spatially distributed across the region.
“Importantly, these protected areas are spatially distributed across the region, hence ensuring the conservation of populations with different genetic pools.”
Quote in the paperSubstantial claim - Findingown data
Only 3.4% (4814 km2) of the pygmy hippopotamus distribution falls within Sierra Leone's territory.
“Only 3.4% (4814 km 2 ) of the pygmy hippopotamus distribution falls within Sierra Leone's territory, of which 765 km 2 (4.8%) of forest were lost between 2000 and 2019.”
Quote in the paperNot a substantial claim - Findingcitation
During 2000-2019, 4835 km2 (15.8%) of forest within protected areas were classified as forest loss by the Hansen et al. (2013) dataset.
“During 2000-2019, 4835 km 2 (15.8%) of forest within protected areas were classified as forest loss by the Hansen et al. (2013) dataset (Table 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hansen et al. 2013 source
- Findingown data
Within the pygmy hippopotamus distribution area, Côte d'Ivoire and Guinea were more impacted by 'Urban expansion' (0.88% and 0.73%, respectively) than Liberia (0.27%) or Sierra Leone (0.07%).
“Within the pygmy hippopotamus distribution area, Côte d'Ivoire and Guinea were more impacted by 'Urban expansion' (0.88% and 0.73%, respectively) than Liberia (0.27%) or Sierra Leone (0.07%).”
Quote in the paperNot a substantial claim - Findingown data
Protected areas within the pygmy hippopotamus's range are affected by forest loss.
“We have demonstrated that protected areas within the pygmy hippopotamus's range are affected by forest loss, and this may lead to human-wildlife conflicts.”
Quote in the paperSubstantial claim - Findingown data
The magnitude of shifting agriculture as a driver of deforestation inside protected areas was 10-fold greater than the second most significant driver, urban expansion, across all countries analysed.
“The magnitude is this driver is 10-fold greater than the second most significant driver of deforestation, 'Urban expansion', inside the protected areas of all countries analysed here.”
Quote in the paperSubstantial claim - Findingown data
Areas classified as 'Urban expansion' were found close to 'Shifting agriculture' and 'Intensive agriculture' patches, primarily in the form of land clearing for crops and infrastructure in oil palm plantations.
“We also found areas classified as 'Urban expansion' close to 'Shifting agriculture' and 'Intensive agriculture' patches, primarily in the form of land clearing for crops and infrastructure in oil palm plantations (Fig. 3 & Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Côte d'Ivoire accounts for 57% of the pygmy hippopotamus distribution.
“Côte d'Ivoire accounts for 57% of the pygmy hippopotamus distribution, out of which 9825 km 2 (61.8%) have been lost.”
Quote in the paperNot a substantial claim - Findingown data
'Shifting agriculture' in Guinea accounted for 170 km2 out of 188 km2 of forest loss.
“'Shifting agriculture' in Guinea has accounted for 170 km 2 out of 188 km 2 of forest loss, making it disproportionally large when compared to the other drivers assessed here (Table 1).”
Quote in the paperSubstantial claim - Study design and conductown data
The classification model achieved 96% accuracy for the 'Urban expansion' class.
“Class accuracies were high, with 'Urban expansion' achieving 96% accuracy, followed by 'Intensive agriculture' (86%) and 'Shifting agriculture' (81%; Fig. S2 & Table S2).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The spatial distribution of these protected areas ensures the conservation of populations with different genetic pools.
“Importantly, these protected areas are spatially distributed across the region, hence ensuring the conservation of populations with different genetic pools.”
Quote in the paperNot a substantial claim - Premisecitation
Pygmy hippopotami are restricted to primary and secondary forests with high canopy cover.
“Pygmy hippopotami are restricted to primary and secondary forests with high canopy cover, prefer locations close to water bodies and are rarely found in disturbed areas (Eltringham 1999, Lewison & Oliver 2008, Eshuis 2011);”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Eltringham 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lewison & Oliver 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Eshuis 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The Upper Guinea Forest has been heavily exploited in the past two decades.
“Our results are consistent with Curtis et al. (2018), who reported 13% forest loss in Africa, and Global Forest Watch (Hansen et al. 2013), where Côte d'Ivoire, Liberia, Sierra Leone and Guinea have lost 26%, 5.9%, 11% and 6.6% of humid primary forest since 2002, respectively, meaning that the UGF has been heavily exploited in the past two decades (Table S3).”
Quote in the paperNot a substantial claim - Interpretationnone given
Forest loss in the Upper Guinea Forest is probably the major cause of the pygmy hippopotamus population decline.
“Even though forest loss in the UGF is probably the major cause of the pygmy hippopotamus population decline, the spatial distribution of the drivers of forest loss in this area remains largely unknown.”
Quote in the paperNot a substantial claim - Study design and conductown data
The classification model achieved 81% accuracy for the 'Shifting agriculture' class.
“Class accuracies were high, with 'Urban expansion' achieving 96% accuracy, followed by 'Intensive agriculture' (86%) and 'Shifting agriculture' (81%; Fig. S2 & Table S2).”
Quote in the paperNot a substantial claim - Premisecitation
Pygmy hippopotami prefer locations close to water bodies.
“Pygmy hippopotami are restricted to primary and secondary forests with high canopy cover, prefer locations close to water bodies and are rarely found in disturbed areas (Eltringham 1999, Lewison & Oliver 2008, Eshuis 2011);”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Eltringham 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lewison & Oliver 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Eshuis 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
These three protected areas provide almost all of the intact habitat for pygmy hippopotami.
“In other words, these three protected areas provide almost all of the intact habitat for pygmy hippopotami and therefore should be given high priority for conservation.”
Quote in the paperSubstantial claim - Premisecitation
The pygmy hippopotamus population may now be only 2000-2500 animals.
“The pygmy hippopotamus population may now be only 2000-2500 animals (Ransom et al. 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ransom et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
In the study area, the class 'Urban expansion' plays a more significant role than 'Industrial agriculture'.
“et al. (2012) state that deforestation in Africa is driven by subsistence agriculture (c.40%) and industrial agriculture (35%), our study found that the class 'Urban expansion' plays a more significant role than 'Industrial agriculture'.”
Quote in the paperNot a substantial claim - Premisecitation
There is large-scale fragmentation alongside the western border of Taï National Park related to timber extraction and the establishment of new crops.
“There is, however, large-scale fragmentation alongside the western border of Taï National Park related to timber extraction and the establishment of new crops (Chatelain et al. 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chatelain et al. 2010 source
- Premisereasoning
Pygmy hippopotami rely on relatively well-preserved forests to survive.
“the animals rely on relatively well-preserved forests to survive, and those conditions are found in some protected areas in the UGF.”
Quote in the paperSubstantial claim - Study design and conductown data
The classification model correctly assigned pixels to drivers 87% of the time (overall accuracy).
“Accuracy was assessed using a confusion matrix; overall, pixels in the classified image were correctly assigned to drivers 87% of the time (overall accuracy).”
Quote in the paperSubstantial claim - Premisecitation
Unregulated activities such as logging and shifting agriculture were responsible for c.90% of forest loss in the Upper Guinea Forest between 1999 and 2013.
“The UGF once extended over more than 620 000 km 2 , from Guinea in the east to Nigeria in the west, but unregulated activities such as logging and shifting agriculture were responsible for c. 90% of the forest loss between 1999 and 2013 (Bakarr et al. 2004, CILSS 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Bakarr et al. 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites CILSS 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Between 1982 and 1986, there were 19,000 pygmy hippopotami in the region.
“Between 1982 and 1986, there were 19 000 pygmy hippopotami in the region, but by 1997 the wild population consisted of fewer than 5000 individuals (Ransom et al. 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ransom et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The global analysis of drivers of forest loss has a minimum pixel size of 250 m, which limits its ability to reveal proximate drivers at finer spatial scales.
“However, the spatial resolution of this global analysis, for which the minimum pixel size is 250 m, limits its ability to reveal the proximate drivers of forest loss at finer spatial scales.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Curtis et al. 2018 source
- Premisecitation
There are 87 protected areas covering 30,669 km2 that are partially or totally located inside the pygmy hippopotamus's range.
“There are 87 protected areas covering 30 669 km 2 that are partially or totally located inside the pygmy hippopotamus's range (UNEP-WCMC & IUCN 2021), and pygmy hippopotami are known to inhabit them (Roth et al. 2004, Collen et al. 2011, Garteh 2013, Conway et al. 2015, Bogui et al. 2016, Hillers et al. 2017, Ouattara et al. 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites UNEP-WCMC & IUCN 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
By 1997, the wild pygmy hippopotamus population consisted of fewer than 5000 individuals.
“Between 1982 and 1986, there were 19 000 pygmy hippopotami in the region, but by 1997 the wild population consisted of fewer than 5000 individuals (Ransom et al. 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ransom et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Further forest loss may drive the pygmy hippopotamus to extinction.
“For the endemic pygmy hippopotamus, forest loss has contributed to a sustained, regionwide population decline, and further forest loss may drive the species to extinction.”
Quote in the paperSubstantial claim - Interpretationreasoning
Forest loss has contributed to a sustained, regionwide population decline of the pygmy hippopotamus.
“For the endemic pygmy hippopotamus, forest loss has contributed to a sustained, regionwide population decline, and further forest loss may drive the species to extinction.”
Quote in the paperSubstantial claim - Premisecitation
Taï, Gola Rainforest and Sapo national parks host several pygmy hippopotami populations.
“Taï, Gola Rainforest and Sapo national parks host several pygmy hippopotami populations (Bogui et al. 2016); therefore, these results are encouraging.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bogui et al. 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Pygmy hippopotami are rarely found in disturbed areas.
“Pygmy hippopotami are restricted to primary and secondary forests with high canopy cover, prefer locations close to water bodies and are rarely found in disturbed areas (Eltringham 1999, Lewison & Oliver 2008, Eshuis 2011);”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Eltringham 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lewison & Oliver 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Eshuis 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
The classification model achieved 86% accuracy for the 'Intensive agriculture' class.
“Class accuracies were high, with 'Urban expansion' achieving 96% accuracy, followed by 'Intensive agriculture' (86%) and 'Shifting agriculture' (81%; Fig. S2 & Table S2).”
Quote in the paperNot a substantial claim - Interpretationown data
Protected areas in the Upper Guinea Forest may not be fulfilling their role in providing pygmy hippopotami with protection from forest loss.
“The protected areas in the UGF may not be fulfilling their role in providing pygmy hippopotami with protection from forest loss; therefore, it is imperative to prioritize conservation efforts in areas where deforestation is low (e.g., Taï, Sapo and Gola Rainforest national parks) and to assess the viability of pygmy hippopotamus populations in those areas.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 10
- May combine two claims. 23
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationcitationOur results provide regional support for agricultural expansion and urban expansion being unambiguously linked to forest loss inside protected areas globally.
“Our results provide regional support for agricultural expansion and 'Urban expansion' being unambiguously linked to forest loss inside protected areas globally (Heino et al. 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Heino et al. 2015 source
The Results (page not available) report a positive association between agricultural land area and forest loss in protected forests, but agricultural land growth was associated only with loss in protected intact forests. The Introduction mentions proximity to urban areas in relation to deforestation generally, not urban expansion inside protected areas. The Conclusions caution that the statistical associations did not always correspond to causal explanations, so the claimed unambiguous global link is overstated. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCocoa plantations are common across West Africa, with Côte d'Ivoire producing 40-50% of the world's cocoa.
“Our results indicate that industrial agriculture in the study area corresponds mainly to oil palm, tea and cocoa; however, cocoa plantations are common across West Africa, with Côte d'Ivoire producing 40-50% of the world's cocoa (Smith Dumont et al. 2014, Wessel & Quist-Wessel 2015).”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe pygmy hippopotamus is listed as Endangered on the IUCN Red List of Threatened Species.
“This includes animals listed as Endangered in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species, such as the pygmy hippopotamus (Choeropsis liberiensis; Ransom et al. 2015, Ola & Benjamin 2019).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Ransom et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Ola & Benjamin 2019 source
Section 3, “West African Wetlands, Watersheds, and Forests” (page not provided), names the pygmy hippopotamus among the most threatened mammalian species. It does not state that the species has the specific IUCN Red List classification of Endangered. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataOil palm contributes to considerable forest loss in the Upper Guinea Forest, primarily concentrated in southern Côte d'Ivoire.
“Our results suggest that although oil palm contributes to considerable forest loss in the UGF, it has been primarily concentrated in southern Côte d'Ivoire.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningOther protected areas in the region did not show negligible and driver-unrelated forest loss; forest loss in them was related to the identified drivers.
“Our findings suggest that forest loss inside Taï (Côte d'Ivoire), Gola Rainforest (western Liberia) and Sapo (eastern Liberia) national parks is negligible and unrelated to the identified drivers assessed, which is not the case for other protected areas in the region.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataShifting agriculture activities are increasing in the area around Taï National Park, but they are more prominent to the north-west and south-west of the National Park.
“our results suggest that 'Shifting agriculture' activities are increasing in the area, but they are more prominent to the north-west and south-west of the National Park (Fig. 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost of the 'Urban expansion' areas were associated with existing settlements, infrastructure and industries (e.g., mining) and were close to roads.
“Most of the 'Urban expansion' areas were associated with existing settlements, infrastructure and industries (e.g., mining) and were close to roads.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataCôte d'Ivoire lost 9825 km2 (61.8%) of net forest loss.
“Côte d'Ivoire accounts for 57% of the pygmy hippopotamus distribution, out of which 9825 km 2 (61.8%) have been lost.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCôte d'Ivoire had the largest protected area network within the pygmy hippopotamus distribution (24,636 km2) and accounted for the largest area of forest loss within protected areas (3809 km2).
“Côte d'Ivoire had the largest protected area network within the pygmy hippopotamus distribution (24 636 km 2 ) and accounted for the largest area of forest loss within protected areas (3809 km 2 ; Table 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataForest loss in Côte d'Ivoire was concentrated in the north and south within the study area, as well as near the Liberian border, and was sparse in the central region.
“Here, forest loss was concentrated in the north and south within the study area, as well as near the Liberian border, and was sparse in the central region (Fig. 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen normalized by the area within the pygmy hippopotamus distribution, Sierra Leone has lost more forest than Côte d'Ivoire or Liberia, followed by Côte d'Ivoire, Liberia and Guinea.
“When normalized by the area within the pygmy hippopotamus distribution, Sierra Leone has lost more forest than Côte d'Ivoire or Liberia despite an order of magnitude difference in net loss, followed by Côte d'Ivoire, Liberia and Guinea (Table 1 & Appendix S1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data'Shifting agriculture' activities account for 13,960 km2 in Côte d'Ivoire and Liberia, whereas Sierra Leone and Guinea have lost fewer than 1000 km2.
“'Shifting agriculture' activities account for 13 960 km 2 in Côte d'Ivoire and Liberia, whereas Sierra Leone and Guinea have lost fewer than 1000 km 2 .”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTaï, Gola Rainforest and Sapo national parks account for 25% of the protected habitat in the pygmy hippopotamus distribution but only for 2% of the deforestation inside protected areas.
“Our results indicate that Taï, Gola Rainforest and Sapo national parks account for 25% of the protected habitat in the pygmy hippopotamus distribution but only for 2% of the deforestation inside protected areas.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data'Urban expansion' was the second largest driver of forest loss inside protected areas and represented c.5% (254 km2) of all forest lost inside protected areas.
“'Urban expansion' was the second largest driver of forest loss and represented c. 5% (254 km 2 ) of all forest lost inside protected areas.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data'Intensive agriculture' accounted for c.1% (144 km2) of the total area of forest loss, with most expansion occurring in Côte d'Ivoire and Liberia.
“'Intensive agriculture' accounted for c. 1% (144 km 2 ) of the total area of forest loss, with most expansion occurring in Côte d'Ivoire and Liberia (Fig. 3 & Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOil palm is primarily found in southern regions of Liberia and Côte d'Ivoire and extends from east to west in the pygmy hippopotamus distribution.
“This crop is primarily found in southern regions of Liberia and Côte d'Ivoire and extends from east to west in the pygmy hippopotamus distribution (Fig. 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen normalized, Liberia had lost the most forest within protected areas (33.7%), followed by Côte d'Ivoire (15.5%), whereas Guinea and Sierra Leone had lost the least both in net surface area and in proportion of their protected areas.
“When the normalized area was considered, Liberia had lost the most forest (33.7%), followed by Côte d'Ivoire (15.5%), whereas Guinea and Sierra Leone had lost the least both in net surface area and in proportion of their protected areas (Fig. 4 & Table 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataForest loss inside Taï (Côte d'Ivoire), Gola Rainforest (western Liberia) and Sapo (eastern Liberia) national parks is negligible and unrelated to the identified drivers assessed.
“Our findings suggest that forest loss inside Taï (Côte d'Ivoire), Gola Rainforest (western Liberia) and Sapo (eastern Liberia) national parks is negligible and unrelated to the identified drivers assessed, which is not the case for other protected areas in the region.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data'Shifting agriculture' was the main driver of forest loss inside protected areas across all countries, especially in Côte d'Ivoire and Liberia, which accounted for 94% (4568 km2) of total forest lost.
“'Shifting agriculture' was the main driver of forest loss inside protected areas across all countries, but especially in Côte d'Ivoire and Liberia, which accounted for 94% (4568 km 2 ) of total forest lost.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHabitat loss in the pygmy hippopotamus distribution area is pervasive, primarily by shifting agriculture but also by urban expansion.
“Our spatially explicit classification of deforestation drivers in the pygmy hippopotamus distribution area using the Sentinel-2 image archive and a random forest model shows that habitat loss primarily by 'Shifting agriculture' but also by 'Urban expansion' is pervasive.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Upper Guinea Forest is considered a biodiversity hotspot.
“Owing to high species endemism and rapid forest loss, the UGF is considered a biodiversity hotspot, but forest loss and degradation have continued (Myers 1988, Mittermeier et al. 2004, Curtis et al. 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationProtected areas in West African countries are generally less effective at preventing forest loss than in other regions, with deforestation often occurring both outside and inside protected areas.
“Protected areas in West African countries are generally less effective at preventing forest loss than in other regions, with deforestation often occurring both outside and inside protected areas (Leberger et al 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Leberger et al 2020
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).
PremisecitationThe known distribution of the pygmy hippopotamus spans 140,221 km2 across Guinea, Sierra Leone, Liberia and Côte d'Ivoire.
“The known distribution of the pygmy hippopotamus spans 140 221 km 2 across Guinea (2335 km 2 ), Sierra Leone (4814 km 2 ), Liberia (53 155 km 2 ) and Côte d'Ivoire (79 917 km 2 ; Fig. 1; IUCN 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites IUCN 2015 source
Classified as probably not a substantial claim.
InterpretationreasoningForest loss in protected areas within the pygmy hippopotamus's range may lead to human-wildlife conflicts.
“We have demonstrated that protected areas within the pygmy hippopotamus's range are affected by forest loss, and this may lead to human-wildlife conflicts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationShifting agriculture was the main driver of forest loss in sub-Saharan Africa between 2001 and 2015.
“For instance, shifting agriculture was the main driver of forest loss in sub-Saharan Africa between 2001 and 2015 (Curtis et al. 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Curtis et al. 2018 source
May combine two claims.
InterpretationreasoningOil palm was the main crop in the 'Intensive agriculture' category and is considered one of the main industrial crops responsible for forest loss.
“As the main crop in the 'Intensive agriculture' category, oil palm was easily identifiable from highresolution satellite images and is thus considered to be one of the main industrial crops responsible for forest loss.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningPygmy hippopotamus populations are and will continue to be threatened by the expansion of shifting agriculture, grazing and human settlements.
“We provide evidence that pygmy hippopotamus populations are and will continue be threatened by the expansion of shifting agriculture, grazing and human settlements.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCôte d'Ivoire, Liberia, Sierra Leone and Guinea have lost 26%, 5.9%, 11% and 6.6% of humid primary forest since 2002, respectively.
“Our results are consistent with Curtis et al. (2018), who reported 13% forest loss in Africa, and Global Forest Watch (Hansen et al. 2013), where Côte d'Ivoire, Liberia, Sierra Leone and Guinea have lost 26%, 5.9%, 11% and 6.6% of humid primary forest since 2002, respectively, meaning that the UGF has been heavily exploited in the past two decades (Table S3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hansen et al. 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Upper Guinea Forest once extended over more than 620,000 km2, from Guinea in the east to Nigeria in the west.
“The UGF once extended over more than 620 000 km 2 , from Guinea in the east to Nigeria in the west, but unregulated activities such as logging and shifting agriculture were responsible for c. 90% of the forest loss between 1999 and 2013 (Bakarr et al. 2004, CILSS 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Bakarr et al. 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites CILSS 2016
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).
InterpretationcitationOur results are consistent with Curtis et al. (2018), who reported 13% forest loss in Africa.
“Our results are consistent with Curtis et al. (2018), who reported 13% forest loss in Africa, and Global Forest Watch (Hansen et al. 2013), where Côte d'Ivoire, Liberia, Sierra Leone and Guinea have lost 26%, 5.9%, 11% and 6.6% of humid primary forest since 2002, respectively, meaning that the UGF has been heavily exploited in the past two decades (Table S3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Curtis et al. 2018 source
May combine two claims.
Study design and conductcitationThe high prevalence of clouds in the region and the spectral similarity of forests and plantations often lead to driver misclassification.
“The high prevalence of clouds in the region and the spectral similarity of forests and plantations often lead to driver misclassification (e.g., see Curtis et al. 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Curtis et al. 2018 source
The paper relies on this without support.
The spatial distribution of the drivers of forest loss in the Upper Guinea Forest, and spatially explicit information on proximate drivers within the pygmy hippopotamus range, are largely unknown or scarce.
“Even though forest loss in the UGF is probably the major cause of the pygmy hippopotamus population decline, the spatial distribution of the drivers of forest loss in this area remains largely unknown.”
The paper relies on this without support.
The Upper Guinea Forest has lost more than 90% of its original area since 1900.
“The Upper Guinea Forest (UGF; West Africa), a global biodiversity hotspot, has lost more than 90% of its original area since 1900, threatening endemic species such as the endangered pygmy hippopotamus (Choeropsis liberiensis).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Abstract understates the percentage of forest lost
MinorLosing 15,900 km2 out of approximately 89,600 km2 is 17.7%, which rounds to 18%, not 17%.
Reported 17 · recomputed 17.745536
“Out of c. 89 600 km 2 in the year 2000, 15 900 km 2 (17%) of forest were lost”
Table 1 intensive-agriculture percentage is misstated
MinorAt the table's one-decimal precision, 144 km2 out of 15,901 km2 is 0.9%, not 1.0%.
Reported 1 · recomputed 0.905603
“Total 140 221 km 2 15 901 km 2 144 km 2 (1.0%) 889 km 2 (5.6%) 14 868 km 2 (93.4%)”
Cites
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.031 · Cited by 15,523 · see citing works
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272 · see citing works
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704 · see citing works
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086 · see citing works
Hotspots Revisited: Earth's Biologically Richest and Most Endangered Terrestrial Ecoregions
Mittermeier, R. A., Gil, P., Hoffman, M. T., Pilgrim, J. D., Brooks, T. M., Mittermeier, C. G., Lamoreux, J. F., & da Fonseca, G. A. B. (2005) · Cited by 2,908 · see citing works
Classifying drivers of global forest loss
Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A., & Hansen, M. C. (2018) · Science · doi:10.1126/science.aau3445 · Cited by 2,340 · see citing works
Primary forests are irreplaceable for sustaining tropical biodiversity
Gibson, L., Lee, T. M., Koh, L. P., Brook, B. W., Gardner, T. A., Barlow, J., Peres, C. A., Bradshaw, C. J. A., Laurance, W. F., Lovejoy, T. E., et al. (2011) · Nature · doi:10.1038/nature10425 · Cited by 2,147 · see citing works
Threatened biotas: "Hot spots" in tropical forests
Myers, N. (1988) · The Environmentalist · doi:10.1007/bf02240252 · Cited by 1,558 · see citing works
Deforestation driven by urban population growth and agricultural trade in the twenty-first century
DeFries, R. S., Rudel, T., Uriarte, M., & Hansen, M. (2010) · Nature Geoscience · doi:10.1038/ngeo756 · Cited by 1,413 · see citing works
Future urban land expansion and implications for global croplands
d’Amour, C. B., Reitsma, F., Baiocchi, G., Barthel, S., Güneralp, B., Erb, K., Haberl, H., Creutzig, F., & Seto, K. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606036114 · Cited by 1,386 · see citing works
An assessment of deforestation and forest degradation drivers in developing countries
Hosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., Angelsen, A., & Romijn, E. (2012) · Environmental Research Letters · doi:10.1088/1748-9326/7/4/044009 · Cited by 1,366 · see citing works
Pervasive shifts in forest dynamics in a changing world
McDowell, N. G., Allen, C. D., Anderson‐Teixeira, K. J., Aukema, B. H., Bond‐Lamberty, B., Chini, L. P., Clark, J. S., Dietze, M. C., Grossiord, C., Hanbury‐Brown, A. R., et al. (2020) · Science · doi:10.1126/science.aaz9463 · Cited by 1,358 · see citing works
The impacts of oil palm on recent deforestation and biodiversity loss
Vijay, V., Pimm, S. L., Jenkins, C. N., & Smith, S. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159668 · Cited by 782 · see citing works
Global biodiversity loss from tropical deforestation
Giam, X. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1706264114 · Cited by 447 · see citing works
Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data
Potapov, P. V., Turubanova, S. A., Hansen, M. C., Adusei, B., Broich, M., Altstatt, A., Mané, L., & Justice, C. O. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.08.027 · Cited by 408 · see citing works
Cocoa production in West Africa, a review and analysis of recent developments
Wessel, M., & Quist-Wessel, P. M. F. (2015) · NJAS: Wageningen Journal of Life Sciences · doi:10.1016/j.njas.2015.09.001 · Cited by 375 · see citing works
A function-based typology for Earth’s ecosystems
Keith, D. A., Ferrer-Paris, J. R., Nicholson, E., Bishop, M. J., Polidoro, B., Ramírez-Llodra, E., Tozer, M. G., Nel, J. L., Nally, R. M., Gregr, E. J., et al. (2022) · Nature · doi:10.1038/s41586-022-05318-4 · Cited by 369 · see citing works
Self-citationGlobal discrimination of land cover types from metrics derived from AVHRR pathfinder data
DeFries, R., Hansen, M. C., & TOWNSHEND, J. R. G. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(95)00142-5 · Cited by 346 · see citing works
Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes
Bowler, D. E., Bjorkman, A. D., Dornelas, M., Myers‐Smith, I. H., Navarro, L. M., Niamir, A., Supp, S. R., Waldock, C., Winter, M., Vellend, M., et al. (2020) · People and Nature · doi:10.1002/pan3.10071 · Cited by 287 · see citing works
Leblois, A., Damette, O., & Wolfersberger, J. (2016) · World Development · doi:10.1016/j.worlddev.2016.11.012 · Cited by 252 · see citing works
Sample size determination for image classification accuracy assessment and comparison
Foody, G. M. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160903130937 · Cited by 248 · see citing works
High-resolution global map of smallholder and industrial closed-canopy oil palm plantations
Descals, A., Wich, S. A., Meijaard, E., Gaveau, D., Peedell, S., & Szantoi, Z. (2021) · Earth system science data · doi:10.5194/essd-13-1211-2021 · Cited by 244 · see citing works
Forest Loss in Protected Areas and Intact Forest Landscapes: A Global Analysis
Heino, M., Kummu, M., Makkonen, M., Mulligan, M., Verburg, P. H., Jalava, M., & Räsänen, T. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0138918 · Cited by 192 · see citing works
Ruf, F., Schroth, G., & Doffangui, K. (2015) · Sustainability Science · doi:10.1007/s11625-014-0282-4 · Cited by 177 · see citing works
Global patterns of forest loss across IUCN categories of protected areas
Leberger, R., Rosa, I. M. D., Guerra, C. A., Wolf, F., & Pereira, H. M. (2019) · Biological Conservation · doi:10.1016/j.biocon.2019.108299 · Cited by 142 · see citing works
A Global Analysis of Deforestation in Moist Tropical Forest Protected Areas
Spracklen, B. D., Kalamandeen, M., Galbraith, D., Gloor, E., & Spracklen, D. V. (2015) · PLOS ONE · doi:10.1371/journal.pone.0143886 · Cited by 141 · see citing works
Smith Dumont, E., Gnahoua, G. M., Ohouo, L., Sinclair, F. L., & Vaast, P. (2014) · Agroforestry Systems · doi:10.1007/s10457-014-9679-4 · Cited by 116 · see citing works
The hippos: natural history and conservation
(2000) · Choice Reviews Online · doi:10.5860/choice.37-6273 · Cited by 115 · see citing works
African exception to drivers of deforestation
Fisher, B. (2010) · Nature Geoscience · doi:10.1038/ngeo873 · Cited by 105 · see citing works
Bodart, C., Brink, A. B., Donnay, F., Lupi, A., Mayaux, P., & Achard, F. (2013) · Journal of Biogeography · doi:10.1111/jbi.12084 · Cited by 89 · see citing works
Network analysis of regional livestock trade in West Africa
Valerio, V. C., Walther, O., Eilittä, M., Cissé, B., Muneepeerakul, R., & Kiker, G. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0232681 · Cited by 67 · see citing works
Synergies and trade‐offs in achieving global biodiversity targets
Marco, M. D., Butchart, S. H. M., Visconti, P., Buchanan, G. M., Ficetola, G. F., & Rondinini, C. (2015) · Conservation Biology · doi:10.1111/cobi.12559 · Cited by 63 · see citing works
Spatial and temporal patterns of land clearing during policy change
Simmons, B. A., Law, E. A., Marcos-Martínez, R., Bryan, B. A., McAlpine, C., & Wilson, K. A. (2018) · Land Use Policy · doi:10.1016/j.landusepol.2018.03.049 · Cited by 53 · see citing works
Ola, O., & Benjamin, E. (2019) · Forests · doi:10.3390/f10060479 · Cited by 46 · see citing works
Predicting extinction of mammals in the Brazilian Amazon
Grelle, C. E. V. (2005) · Oryx · doi:10.1017/s0030605305000700 · Cited by 40 · see citing works
Vegetation Dynamics in the Upper Guinean Forest Region of West Africa from 2001 to 2015
Liu, Z., Wimberly, M. C., & Dwomoh, F. K. (2016) · Remote Sensing · doi:10.3390/rs9010005 · Cited by 35 · see citing works
Distribution and status of the hippopotamids in the Ivory Coast
Roth, H. H., Hoppe-Dominik, B., Mühlenberg, M., Steinhauer-Burkart, B., & Fischer, F. (2004) · African Zoology · doi:10.1080/15627020.2004.11657218 · Cited by 26 · see citing works
Trends in timber production systems in the high forest zone of Ghana
Oduro, K. A., Mohren, G. M. J., Affum‐Baffoe, K., et al. (2014) · The International Forestry Review · doi:10.1505/146554814812572458 · Cited by 24 · see citing works
Collen, B., Howard, R., Konie, J., Daniel, O., & Rist, J. (2011) · Oryx · doi:10.1017/s0030605310001444 · Cited by 24 · see citing works
Chatelain, C., Bakayoko, A., Martin, P., & Gautier, L. (2010) · Biodiversity and Conservation · doi:10.1007/s10531-010-9847-4 · Cited by 21 · see citing works
Sustainable Agriculture and the Environment in the Humid Tropics
National Research Council (1993) · National Academies Press eBooks · doi:10.17226/1985 · Cited by 19
Hillers, A., Buchanan, G. M., Garteh, J. C., Tommy, S. M., Fofana, M. L., & Lindsell, J. A. (2017) · Oryx · doi:10.1017/s003060531600020x · Cited by 10 · see citing works
Conway, A. L., Hernandez, S. M., Carroll, J. P., Green, G. T., & Larson, L. (2015) · Oryx · doi:10.1017/s003060531300077x · Cited by 9 · see citing works
IUCN (2015) · IUCN Red List of Threatened Species · doi:10.2305/iucn.uk.2015-2.rlts.t10032a18567171.en · Cited by 7 · see citing works
Ouattara, K., Bomey, C. G., Kone, I., & Paris, M. (2019) · International Journal of Biological and Chemical Sciences · doi:10.4314/ijbcs.v12i6.9 · Cited by 5 · see citing works
Self-citation(2019) · doi:10.32614/cran.package.wpp2019 · Cited by 5
Data for: Global patterns of forest loss across IUCN categories of protected areas
Leberger, R., Rosa, I., Guerra, C., Wolf, F., & Pereira, H. (2019) · doi:10.17632/5t68cxx2dh.1 · Cited by 1
Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes
Bowler, D. E., Bjorkman, A. D., Dornelas, M., et al. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.18191049
High-resolution global map of smallholder and industrial closed-canopy oil palm plantations
Descals, A., Wich, S., Meijaard, E., et al. (2020) · doi:10.5194/essd-2020-159
Flagged first, then by citations
Research works printed but not linked: 14
- Eshuis, H (2011) Habitat preference and activity pattern of the pygmy hippopotamus analyzed by camera trapping and GIS. Thesis. Wageningen, The Netherlands: Wageningen University.
- UNEP-WCMC, IUCN (2021) Protected Planet Report 2020. Cambridge, UK: UNEP-WCMC; Gland, Switzerland: IUCN.
- 2017, Pastoral Livestock Farming in Sahel and West Africa
- 2014, Grow but Cherish Your Environment
- Bogui, 2016, Distribution of pygmy hippopotamus (Choeropsis liberiensis) in Taï National Park, Ivory Coast: influences of natural and anthropogenic factors, International Journal of Research in Biosciences, 5, 27
- Robinson, PT (1970) The status of the pygmy hippopotamus and other wildlife in West Africa. Thesis. East Lansing, MI, USA: Michigan State University.
- Robinson, 2017, The Pygmy Hippo Story: West Africa’s Enigma of the Rainforest
- 2016, Landscapes of West Africa: A Window on a Changing World
- Garteh, JC (2013) Studying the distribution and abundance of the Endangered pygmy hippopotamus (Choeropsis liberiensis) in and around the Gola Rainforest National Park in southeastern Sierra Leone. Thesis. Bo, Sierra Leone: Njala University.
- Mittermeier, 2004, Hotspots Revisited: Earth’s Biologically Richest and Most Endangered Terrestrial Ecoregions
- Pesaresi, 2015, GHS-BUILT R2015B – GHS Built-Up Grid, Derived from Landsat, Multitemporal (1975, 1990, 2000, 2014)
- 10.2305/IUCN.UK.2015-2.RLTS.T10032A18567171.en · DOI · Paper page
- Conway, AL (2013) Conservation of the pygmy hippopotamus (Choeropsis liberiensis) in Sierra Leone, West Africa. Thesis. Athens, GA, USA: University of Georgia.
- Hentschel, KM (1990) Untersuchung zu Status, Ökologie und Erhaltung des Zwergflusspferdes (Choeropsis liberiensis) in der Elfenbeinküste. Thesis. Braunschweig, Germany: Technische Universität Carolo-Wilhelmina zu Braunschweig.
Cited by
Sorted by citations
Guiatin, E. (2025) · Discover Forests · doi:10.1007/s44415-025-00034-z · Cited by 3 · see citing works
“In Côte d'Ivoire and Ghana, for example, cash crop expansion, notably cocoa [116], constitutes a key deforestation factor in humid dense forest zones [11, 80, 117].”
Conservation, Development, and Transformative Change in the Upper Guinean Forests of West Africa
Garrett, R. D., Lyons-White, J. P., Maguire-Rajpaul, V. A., Freeman, B., Dzudzor, M. I., Burgess, N. D., McDermott, C. L., Acheampong, E., Addoah, T., Adeleye, M., et al. (2026) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-121224-090229 · Cited by 1 · see citing works
Kempkes, J. B., Si, Y., van ’t Zelfde, M., Digbeu, H. E. O., Bogui, E. B., Ouattara, K., Koné, I., & Paris, M. (2026) · Global Ecology and Conservation · doi:10.1016/j.gecco.2026.e04346
Self-citation
- Authors
- Erazo-Mera, E., Younes, N., Horwood, P. F., Paris, D., Paris, M., & Murray, N.
- Affiliations
- Australian National University (AU)
- Australian Institute of Tropical Health and Medicine (AU)
- University of Pretoria (ZA)
- James Cook University (AU)
- Corresponding author
- Murray, Nicholas
- Venue
- Environmental Conservation
- Publisher
- Cambridge University Press (CUP)
- Published
- 2023-12-06
- Volume
- 51
- Issue
- 1
- Pages
- 55-63
- ISSN
- 0376-8929 (ISSN-L)
- 1469-4387
- OpenAlex
- W4389393230
- Cited by
- 3
- References
- 44
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 0.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Environmental Conservation (publishedVersion, cc-by)
- ResearchOnline - JCU (James Cook University) (submittedVersion)
- UpSpace Institutional Repository (University of Pretoria) (submittedVersion, cc-by)
- ANU Open Research (Australian National University) (submittedVersion, cc-by)
- Funders
- European Space Agency
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- forest loss, deforestation drivers, shifting cultivation, pygmy hippopotamus, Choeropsis liberiensis, Upper Guinea Forest, habitat loss, protected areas, Liberia, landscape conservation, land use change
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 2026-10-27.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-27.
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 ›
Are you an author, or do you see a problem with this page? Request a review