Shared resources between giant panda and sympatric wild and domestic mammals

Wang, Fang; McShea, William J.; Wang, Dajun; Li, Sheng

doi:10.1016/j.biocon.2015.03.032

Cited by 79 publications

(37 citation statements)

References 50 publications

(68 reference statements)

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“…Field staff were allowed to select the most probable location within each cell, but there was a limitation of no concurrent sampling locations being placed within 500 m. At the end of each survey period, the memory cards were collected, and the cameras were moved to the next sampling cells (Wang et al., ). Cameras were baited with commercial scent lure (Carman's Magna‐Glan Lure, Montgomery Fur Company, UT, USA) upon deployment to slow the animal movement speed to ensure sufficient reaction time for the cameras (Wang, McShea, Wang, & Li, ; Wang et al., ). In addition, we used a sign plot method to detect evidence of species activity (faeces, tracks and feeding signs).…”

Section: Methodsmentioning

confidence: 99%

“…We categorized the trigger delay of our camera models at each survey location into short (≤1 s) or long (>1 s). For environmental variables, we reviewed previous habitat studies for each focal species (Guan et al., ; Wang et al., ; Zhang et al., ) and identified 10 variables that may affect their occupancy probabilities (Table ). Field staff recorded the presence or absence of bamboo understory and identified the forest composition (broadleaf, mixed or coniferous forest, or non‐forest) at each survey location.…”

Section: Methodsmentioning

confidence: 99%

“…We obtained vegetation composition information from ESA Globover Project (Bicheron et al., ) and aggregated landscape composition into three classes (broadleaf, mixed or coniferous forest, or non‐forest). We estimated bamboo distribution using WorldClim data (Hijmans, Cameron, Parra, Jones, & Jarvis, ; see Table ) and two biogeographic covariables (slope and aspect) following established protocols involving Maxent software (Songer, Delion, Biggs, & Huang, ; Tuanmu et al., ; Wang et al., ; see Data for modelling details, Figure for sampling design, and Figure for predicted bamboo distribution). All the layers were finally standardized to 300 × 300 m spatial resolution using ArcToolbox in ArcGIS 10.2 (ESRI, ).…”

Section: Methodsmentioning

confidence: 99%

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Does one size fit all? A multispecies approach to regional landscape corridor planning

Wang

McShea

et al. 2017

Diversity and Distributions

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Aim The practical value of the single‐species approach to conserve biodiversity could be minimal or negligible when sympatric species are limited by factors that are not relevant to the proposed umbrella species. In this study, we quantitatively evaluated as follows: (1) habitat suitability and potential movement corridors of a single umbrella species, giant panda (Ailuropoda melanoleuca); (2) habitat suitability of sympatric mammals; and (3) the potential effectiveness of the single‐species corridor planning to preserve suitable habitat and its connectivity of other focal species. Location Qinling Mountains, central part of China (15,000 km2). Methods We collected species distribution, environmental and anthropogenic data and conducted species occupancy modelling for giant panda and six other sympatric species (i.e., takin Budorcas taxicolor, tufted deer Elaphodus cephalophus, Chinese goral Naemorhedus griseus, Reeve's muntjac Muntiacus reevesi, leopard cat Prionailurus bengalensis and yellow‐throated marten Martes flavigula). We then conducted circuit models to identify potential corridors for each species and evaluated the effectiveness of giant panda corridors to restore the habitat connectivity for these sympatric mammals. Results Occupancy modelling revealed that each species had a unique set of environmental variables associated with its distribution in the Qinling Mountains. We found that giant panda and all other focal species had some degree of fragmentation to their suitable habitat that required restoring habitat connectivity. Among the eight potential giant panda corridors, conservation efforts to reduce anthropogenic impacts would significantly improve the effectiveness of six corridors, while the other two corridors would require altering the vegetation. Five proposed giant panda corridors had remarkable overlap with corridors proposed for other species. We suggest two giant panda corridors as a priority due to their potential to maximize the benefits to both giant panda and a broader suite of mammals. Main conclusions Corridor planning in this region of China will likely continue using the single‐species policy, but our results highlight that not all potential giant panda corridors have equal effectiveness for other wildlife species. When offered multiple alternative actions, conservation planners can prioritize corridor development based on a multispecies perspective without loss of connectivity for the priority species. This approach has strong implications to the conservation of wildlife communities in China, and elsewhere, where conservation plans developed for a single‐species garner most available funding and institutional support.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Does one size fit all? A multispecies approach to regional landscape corridor planning

Wang

McShea

et al. 2017

Diversity and Distributions

Self Cite

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“…), increasing fragmentation due to road and other infrastructure construction (SFA ), and increasing livestock encroachment (Wang et al . ; Liu et al . ), which compromise the panda's future and keep it listed as Vulnerable (Figure ).…”

Section: Downlisting the Pandamentioning

confidence: 96%

Panda Downlisted but not Out of the Woods

Swaisgood

Wang

Wei

2017

CONSERVATION LETTERS

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115

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The giant panda (Ailuropoda melanoleuca) is no longer Endangered on the International Union for the Conservation of Nature's (IUCN) storied Red List. The decision to downlist the panda to Vulnerable has its foundation in a systematic assessment of population parameters as determined by China State Forestry Administration's circa decadal national survey and other scientific outputs, compared to standardized criteria used by IUCN to determine the status of all species. This decision has not been without controversy and disagreement, perhaps reflecting disparities between how people view the term "Endangered" and the criteria established by the IUCN. Here, we explore the architecture of recovery of this iconic "Endangered" species, make transparent the process of the IUCN downlisting decision, evaluate emerging threats to pandas on the horizon, and contemplate the meaning of this milestone for endangered species conservation. Through this revelation, we find profound reasons for hope for species conservation everywhere, and a useful example of success in the making. However, this positive message comes with measured caution. The Chinese government and conservation community must maintain its focus and investment on panda conservation, and contend with strategies to address new threats. If they do not, the panda will return to "Endangered" status once again.

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“…For example, habitat use by one species may preclude use by prey (Willems and Hill ) or competitors (Wang et al. ), or presence of one species may facilitate habitat use by another (Veblen ). Failure to account for such interspecific interactions may lead to biased inference when modeling habitat associations (McLoughlin et al.…”

Section: Introductionmentioning

confidence: 99%

A two‐species occupancy model accommodating simultaneous spatial and interspecific dependence

Rota

Wikle

Kays

et al. 2016

Ecology

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. Occupancy models are popular for estimating the probability a site is occupied by a species of interest when detection is imperfect. Occupancy models have been extended to account for interacting species and spatial dependence but cannot presently allow both factors to act simultaneously. We propose a two-species occupancy model that accommodates both interspecifi c and spatial dependence. We use a point-referenced multivariate hierarchical spatial model to account for both spatial and interspecifi c dependence. We model spatial random effects with predictive process models and use probit regression to improve effi ciency of posterior sampling. We model occupancy probabilities of red fox ( Vulpes vulpes ) and coyote ( Canis latrans ) with camera trap data collected from six midAtlantic states in the eastern United States. We fi t four models comprising a fully factorial combination of spatial and interspecifi c dependence to two-thirds of camera trapping sites and validated models with the remaining data. Red fox and coyotes each exhibited spatial dependence at distances >0.8 and 0.4 km, respectively, and exhibited geographic variation in interspecifi c dependence. Consequently, predictions from the model assuming simultaneous spatial and interspecifi c dependence best matched test data observations. This application highlights the utility of simultaneously accounting for spatial and interspecifi c dependence.

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Shared resources between giant panda and sympatric wild and domestic mammals

Cited by 79 publications

References 50 publications

Does one size fit all? A multispecies approach to regional landscape corridor planning

Does one size fit all? A multispecies approach to regional landscape corridor planning

Panda Downlisted but not Out of the Woods

A two‐species occupancy model accommodating simultaneous spatial and interspecific dependence

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