Using large spatial scale camera trap data and hierarchical occupancy models to evaluate species richness and occupancy of rare and elusive wildlife communities in southwest China

Li, Xueyou; Bleisch, William V.; Jiang, Xue‐Long

doi:10.1111/ddi.12792

Cited by 32 publications

(24 citation statements)

References 50 publications

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“…This elevation preference may be a combination of avoidance of lower elevation areas near rural settlements where cattle grazing is intense and avoidance of higher areas that are less productive. Previous studies have also documented a similar pattern of the decreased human disturbance at mid-elevations and good productivity resulting in the higher species richness at mid-elevations compared to lower elevations (Gebert et al, 2019;Guo et al, 2013;Li et al, 2018).…”

Section: Determinants Of Species Richness and Occupancysupporting

confidence: 59%

Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle

Feng

Sun

et al. 2021

Diversity and Distributions

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Section: Determinants Of Species Richness and Occupancysupporting

confidence: 59%

Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle

Feng

Sun

et al. 2021

Diversity and Distributions

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“…This shortfall represents a major issue because the rarest species are often the species of highest conservation concern. Multispecies occupancy models offer an analytical framework to address this challenge, as species with few detections borrow information from more abundant species, which improves precision of the parameter estimates for rare species (Drouilly, Clark, & O'Riain, ; Li, Bleisch, & Jiang, ; Tobler, Hartley, Carrillo‐Percastegui, & Powell, ). Because species‐specific responses to covariates can be projected to unsampled areas, this approach can be used to generate maps of species potential occurrence (MacKenzie et al, ; Sollmann et al, ).…”

Section: Introductionmentioning

confidence: 99%

Identifying conservation priorities in a defaunated tropical biodiversity hotspot

Tilker

Abrams

Nguyen

et al. 2020

Diversity and Distributions

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Aim Unsustainable hunting is leading to widespread defaunation across the tropics. To mitigate against this threat with limited conservation resources, stakeholders must make decisions on where to focus anti‐poaching activities. Identifying priority areas in a robust way allows decision‐makers to target areas of conservation importance, therefore maximizing the impact of conservation interventions. Location Annamite mountains, Vietnam and Laos. Methods We conducted systematic landscape‐scale surveys across five study sites (four protected areas, one unprotected area) using camera‐trapping and leech‐derived environmental DNA. We analysed detections within a Bayesian multispecies occupancy framework to evaluate species responses to environmental and anthropogenic influences. Species responses were then used to predict occurrence to unsampled regions. We used predicted species richness maps and occurrence of endemic species to identify areas of conservation importance for targeted conservation interventions. Results Analyses showed that habitat‐based covariates were uninformative. Our final model therefore incorporated three anthropogenic covariates as well as elevation, which reflects both ecological and anthropogenic factors. Conservation‐priority species tended to found in areas that are more remote now or have been less accessible in the past, and at higher elevations. Predicted species richness was low and broadly similar across the sites, but slightly higher in the more remote site. Occupancy of the three endemic species showed a similar trend. Main conclusion Identifying spatial patterns of biodiversity in heavily defaunated landscapes may require novel methodological and analytical approaches. Our results indicate that to build robust prediction maps it is beneficial to sample over large spatial scales, use multiple detection methods to increase detections for rare species, include anthropogenic covariates that capture different aspects of hunting pressure and analyse data within a Bayesian multispecies framework. Our models further suggest that more remote areas should be prioritized for anti‐poaching efforts to prevent the loss of rare and endemic species.

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“…Information on spatial patterns of species occurrence has steadily improved, yet interpretation remains contested (Rahbek, 2005; Sam et al , 2019). Species distribution models commonly use environmental variables as predictors for species occurrence (Wu et al , 2013; Chen et al , 2017; Li, Bleisch & Jiang, 2018 b ). Species spatial distributions, however, are not influenced solely by abiotic environmental variables (Trainor et al , 2014).…”

Section: Introductionmentioning

confidence: 99%

Human disturbance and prey occupancy as predictors of carnivore richness and biomass in a Himalayan hotspot

Bleisch²,

Liu

et al. 2020

Animal Conservation

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Carnivores are of high ecological importance and often serve as flagship species for conservation. Yet, the direct and indirect effects of trophic interactions and human disturbance on carnivore communities and the occurrence of their prey in temperate forests remain poorly understood. Here we evaluate the direct and indirect effects of net primary productivity, prey (Muntjac spp) occupancy and human disturbance in shaping carnivore richness and biomass based on camera‐trap data and path analysis. Path analysis indicated that muntjac occupancy and proximity of human settlements were the main factors structuring carnivore communities. Carnivore biomass was directly affected by muntjac occupancy, while carnivore richness increased with distance from the nearest residential site. Muntjac occupancy per se directly depended on net primary productivity. We also identified several indirect effects on carnivore biomass. Increasing distance to the nearest residential site had a positive indirect effect on carnivore biomass that was mediated by increasing carnivore richness. Net primary productivity was positively associated with carnivore biomass indirectly via increasing muntjac occupancy. There were no significant correlations between the occurrence probability of livestock and muntjac. Our results point to the importance of incorporating prey occurrence and human disturbance in modelling biodiversity patterns of carnivore communities. Carnivore conservation management practices should include efforts to stop hunting and to restrict human presence in the core zones of protected areas.

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Using large spatial scale camera trap data and hierarchical occupancy models to evaluate species richness and occupancy of rare and elusive wildlife communities in southwest China

Cited by 32 publications

References 50 publications

Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle

Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle

Identifying conservation priorities in a defaunated tropical biodiversity hotspot

Human disturbance and prey occupancy as predictors of carnivore richness and biomass in a Himalayan hotspot

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