Monitoring wildlife abundance and diversity with infra-red camera traps in Guanyinshan Nature Reserve of Shaanxi Province, China

Liu, Xuehua; Wu, Pengfeng; Songer, Melissa; Cai, Qiong; He, Xiaowen; Zhu, Yun; Shao, Xingling

doi:10.1016/j.ecolind.2012.09.022

Cited by 55 publications

(44 citation statements)

References 18 publications

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“…There are several limitations in this study that should be clarified: (1) the relationship between frequency of occurrence (photograph rate at a given site) and animal density remains unclear (Carbone et al, 2001; Li et al, 2010, 2014; Liu et al, 2013); (2) the effectiveness of different survey methods can vary depending on species, particularly for small mammals and birds; (3) variation in microclimate on different time frames may cause spatial changes in potential distribution (e.g., we only created variables for annual or seasonal population changes) (Broennimann et al, 2012; Sedgeley, 2001); (4) obtaining high-resolution environmental variables may create potential bias (Wang et al, 2012); (5) modeling limitations (e.g., part of a species’ fundamental niche may not correspond to any combination of environmental variables; species interactions may cause bias) (Cruz-Cárdenas et al, 2014; Elith & Leathwick, 2009; Guo et al, 2015; Maiorano et al, 2013); (6) human influence may be important but is difficult to quantify on a local scale.…”

Section: Discussionmentioning

confidence: 99%

“…If more than one individual were identified on a single photograph, we considered this one detection. All detections were summed for each camera site (Jia et al, 2014; Li et al, 2010, 2014; Liu et al, 2013; Zhang et al, 2012). Then, species were identified using several books (Jiang et al, 2015; MacKinnon, Phillipps & He, 2000; Smith & Xie, 2009; Zheng, 2011) and databases (Animal Diversity Web, ).…”

Section: Methodsmentioning

confidence: 99%

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Gap analysis and implications for seasonal management on a local scale

Yang

Zhang

Wang

et al. 2018

PeerJ

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BackgroundIdentifying biodiversity hotspots on a local scale, using multiple data sources, and ecological niche modeling, has the potential to contribute to more effective nature reserve management.MethodsIn this study, we used infrared-triggered camera trapping, field surveys, and interviews to create a dataset on the distribution of species (mammals and birds) in Hebei Wulingshan Nature Reserve (Hebei Province, China).ResultsWe identified 101 species (14 orders, 38 families), 64 of which (2,142 effective records) were selected for environmental niche modeling. All results were reclassified into three groups: “priority areas” (areas including the potential distributions of over 80% of species), “important areas” (those with 50% of species), and “normal areas” (all other areas). Our results show that priority areas (1.31–1.82 km2) and important areas (7.73–21.44 km2) for conservation were mainly covered by the core and experimental zones of the reserve; additionally, a kilometer-wide margin around the outside of the nature reserve seems to be important to maintaining biodiversity.DiscussionWe close by suggesting some actions for enhancing conservation of biodiversity in the reserve, including monitoring, strengthen law enforcements, introducing popular science, and co-operating with local people.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Gap analysis and implications for seasonal management on a local scale

Yang

Zhang

Wang

et al. 2018

PeerJ

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“…For that reason, our aim was to sample the species richness of medium and large-sized mammals of the Buenaventura Reserve (BR) of the Jocotoco Foundation. the RAI by dividing the number of captures of a species by the total number of captures of all species (Liu et al 2013). We identify the conservation status of each species based on the IUCN Red List (IUCN 2016), the Red Book of mammals of Ecuador (Tirira 2011), and the CITES Appendices.…”

Section: Discussionmentioning

confidence: 99%

Large and medium-sized mammals of Buenaventura Reserve, southwestern Ecuador

Torres-Porras¹,

Cobos²,

Seoane³

et al. 2017

CheckList

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Mammals are the third most threatened group of vertebrates and tropical ones are the most endangered according to recent studies. The Buenaventura Reserve protects 20 km 2 of Montane Tropical forest in the southwestern part of the Ecuadorian Andes. This study estimates the mammal species richness of this reserve by using camera traps and occasional sightings. We recorded 20 species of large and medium-sized mammals in this small protected area, which shows the reserve's important role in the conservation of these species. This study also shows the conservation priority that these forests should have in the western part of the Ecuadorian Andes.

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“…After the establishment of the Natural Forest Conservation Program in 1998, logging activities were banned (Liu et al, 2008). Giant pandas were recently spotted several times in dragon-head bamboo forest during spring and autumn in this reserve (Liu et al, 2013).…”

Section: Methodsmentioning

confidence: 99%

Understanding nutrient landscapes for giant pandas in the Qinling Mountains, China: the relationships between bamboo mineral content and giant panda habitat selection during migration

Huang¹,

Liu²,

Li³

et al. 2018

Anim. Biodiv. Conserv.

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Understanding nutrient landscapes for giant pandas in the Qinling Mountains, China: the relationships between bamboo mineral content and giant panda habitat selection during migration. Bamboo comprises over 99 % of the diet of giant pandas (Ailuropoda melanoleuca). Giant pandas face a complex nutrient landscape. They eat more than one species of bamboo and various parts of the plant, and they move seasonally to find optimal forage. Though the seasonal habitat preferences of giant pandas have long been known, the spatial and temporal nutrient gradient of bamboo between seasonal habitats remains unclear. Few studies detail the nutrient content of bamboo in relation to the seasonal habitat selection of giant pandas in the wild. In this study, we collected bamboo samples from 57 plots considering four factors (seasons, elevations, species, and plant parts). We evaluated the effect of these factors on the contents of seven bamboo mineral elements (Cu, Zn, Fe, Mn, K, Ca, and Mg) and used a non-parametric ensemble tree model to model giant pandas' presence and absence based on bamboo mineral content. Our results showed strong correlations between pairs of mineral contents (up to r = 0.69) with specific mineral elements such as Mn, consistently showing great importance in the models for differentiating the habitat selection. We also observed significant variation in mineral concentrations between seasons, bamboo species, and plant parts. Our results suggest that the studied bamboo mineral content strongly associates giant pandas' habitat preferences. Our research may be useful for the development of conservation and reserve management strategies by providing guidelines to increase giant pandas' opportunities to obtain sufficient nutrient within the Qinling region.

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Monitoring wildlife abundance and diversity with infra-red camera traps in Guanyinshan Nature Reserve of Shaanxi Province, China

Cited by 55 publications

References 18 publications

Gap analysis and implications for seasonal management on a local scale

Gap analysis and implications for seasonal management on a local scale

Large and medium-sized mammals of Buenaventura Reserve, southwestern Ecuador

Understanding nutrient landscapes for giant pandas in the Qinling Mountains, China: the relationships between bamboo mineral content and giant panda habitat selection during migration

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