Application of least-cost path model to identify a giant panda dispersal corridor network after the Wenchuan earthquake—Case study of Wolong Nature Reserve in China

Li, Hailong; Li, Dihua; Li, Ting; Qiao, Qing; Yang, Jian; Zhang, Hemin

doi:10.1016/j.ecolmodel.2009.12.006

Cited by 82 publications

(60 citation statements)

References 33 publications

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“…Landscape resistance is often based on habitat suitability indices or expert opinion, where high habitat suitability is interpreted as low resistance or cost (Sawyer et al 2011;Poor et al 2012;Zeller et al 2012). Unfortunately, many examples of cost-based corridor model applications have weaknesses, for example the use of habitat selection information that is generalized from the literature (e.g., LaRue and Nielsen 2008;Li et al 2010;Huck et al 2011) (despite being locality specific and often variable across sites and thus not generalizable ;Fahrig 2007) and the cost-based models themselves unrealistically assume an animal either has complete knowledge of the landscape (e.g., least cost path analysis; Adriaensen et al 2003) or no memory of the landscape (i.e., random walkers; e.g., McRae et al 2008). Most importantly, despite intending to predict and facilitate animal movements, most corridor studies do not directly incorporate animal behavior into their models (Chetkiewicz et al 2006;Beier et al 2008;Sawyer et al 2011;Zeller et al 2012), and only a few have compared their model predictions with movement data (Driezen et al 2007;Poor et al 2012;Walpole et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Animal behavior, cost-based corridor models, and real corridors

et al. 2013

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Corridors are popular conservation tools because they are thought to allow animals to safely move between habitat fragments, thereby maintaining landscape connectivity. Nonetheless, few studies show that mammals actually use corridors as predicted. Further, the assumptions underlying corridor models are rarely validated with field data. We categorized corridor use as a behavior, to identify animal-defined corridors, using movement data from fishers (Martes pennanti) tracked near Albany, New York, USA. We then used least-cost path analysis and circuit theory to predict fisher corridors and validated the performance of all three corridor models with data from camera traps. Six of eight fishers tracked used corridors to connect the forest patches that constitute their home ranges, however the locations of these corridors were not well predicted by the two cost-based models, which together identified only 5 of the 23 used corridors. Further, camera trap data suggest the cost-based corridor models performed poorly, often detecting fewer fishers and mammals than nearby habitat cores, whereas camera traps within animal-defined corridors recorded more passes made by fishers, carnivores, and all other nontarget mammal groups. Our results suggest that (1) fishers use corridors to connect disjunct habitat fragments, (2) animal movement data can be used to identify corridors at local scales, (3) camera traps are useful tools for testing corridor model predictions, and (4) that corridor models can be improved by incorporating animal behavior data. Given the conservation importance and monetary costs of corridors, improving and validating corridor model predictions is vital.

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Section: Introductionmentioning

confidence: 99%

Animal behavior, cost-based corridor models, and real corridors

et al. 2013

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“…The first edition of VMap L2 does not include complete and updated information about road conditions, which makes many analyses impossible, e.g. the least-cost path analysis or network analysis (Li et al, 2010;Tenga et al, 2011, Oh et al, 2007. It is possible to design one greenway on the basis of detailed field research, but when designating several greenways to link a larger number of greenspaces, it would be difficult to conduct extensive field research, so geographic information systems should be used.…”

Section: Discussionmentioning

confidence: 99%

Planning a greenway based on an evaluation of visual landscape attractiveness

Sarnowski

Podgórski

Brykała

2016

Moravian Geographical Reports

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“…The devastating 8.0 magnitude Wenchuan Earthquake, which occurred in Sichuan Province, China on May 12, 2008, caused damage to the World Nature Heritage Sichuan Giant Panda Sanctuary (WHSGPS) that falls into the Wenchuan Region, including the Wolong Nature Reserve, Caopo Nature Reserve, and Sanjiang Scenic Area. There have been studies about the impact of the earthquake on the giant panda habitats (Li 2009;Wang et al 2008;Deng et al 2010), and on the planning for the recovery of the damaged ecological corridors (Wang et al 2008;Li et al 2010). However, most of such works do not contain quantitative and spatial evaluation of the disaster A Remote Sensing-based Analysis on the Impact of Wenchuan Earthquake on the Core Value of World Nature Heritage Sichuan Giant Panda Sanctuary YU Hui 1,2 , ZHAO Yongtao 1 * , MA Yuewei 1,2 , SUN Yulian 1,2 , ZHANG Hu 3 , YANG Shihong 3 , LUO Yong 1,2 situation, especially the spatial temporal changes of land cover over a large area caused by the earthquake, which makes the policy recommendations in these works appear to lack solid scientific foundation.…”

Section: Introductionmentioning

confidence: 99%

A remote sensing-based analysis on the impact of Wenchuan Earthquake on the core value of World Nature Heritage Sichuan Giant Panda Sanctuary

Zhao

Yue-wei

et al. 2011

J. Mt. Sci.

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In this study, we used remotely sensed data, GIS modeling, and statistical methods to evaluate the damage caused by the Wenchuan Earthquake (May 12, 2008) to the giant panda (Ailuropoda melanoleuca) habitat in the World Nature Heritage Sichuan Giant Panda Sanctuary (WHSGPS) in China. A landscape ecological analysis found increases of landscape heterogeneity, complexity, and fragmentation in the giant panda habitat after the earthquake. A terrain analysis found that slope and elevation are directly associated with the distribution of the damaged areas. As slope and elevation increase, the size of the damaged area keeps increase until to a peak, and then starts to drop. The total area of the damaged vegetation in our study area is 114.26 km 2 , accounting for 3.78% of the study area; 30.46% of that 114.26 km 2 is located in the Core Zone of WHSGPS. There are 18.57km 2 of the damaged vegetation located in the identified suitable giant panda habitat, accounting for 1.75% of the total area of suitable giant panda habitats in the study area. Based on these findings, we conclude that the Wenchuan Earthquake does not have significant impact on the WHSGPS as a whole.

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Application of least-cost path model to identify a giant panda dispersal corridor network after the Wenchuan earthquake—Case study of Wolong Nature Reserve in China

Cited by 82 publications

References 33 publications

Animal behavior, cost-based corridor models, and real corridors

Animal behavior, cost-based corridor models, and real corridors

Planning a greenway based on an evaluation of visual landscape attractiveness

A remote sensing-based analysis on the impact of Wenchuan Earthquake on the core value of World Nature Heritage Sichuan Giant Panda Sanctuary

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