Reference
Beresford, A. E., Buchanan, G. M., Donald, P. F., Butchart, S. H. M., Fishpool, L. D. C., & Rondinini, C. (2011). Poor overlap between the distribution of Protected Areas and globally threatened birds in Africa. Animal Conservation, 14(2), 99–107.
Bradie, J., & Leung, B. (2017). A quantitative synthesis of the importance of variables used in MaxEnt species distribution models. Journal of Biogeography, 44(6), 1344–1361.
Breiner, F. T., Guisan, A., Nobis, M. P., & Bergamini, A. (2017). Including environmental niche information to improve IUCN Red List assessments. Diversity and Distributions, 23(5), 484–495.
Ceballos, G. et al. (2015). Accelerated modern human-induced species losses: Entering the sixth mass extinction. Science Advances, 1(5), 9–13.
Cordero, S., Castaño-Villa, G. J., & Fontúrbel, F. E. (2020). The Best Bang for the Bucks: Rethinking Global Investment in Biodiversity Conservation. Sustainability, 12(21), 9252.
Darrah, S. E., Bland, L. M., Bachman, S. P., Clubbe, C. P., & Trias‐Blasi, A. (2017). Using coarse‐scale species distribution data to predict extinction risk in plants. Diversity and Distributions, 23(4), 435–447.
Dou, H., Jiang, G., Stott, P., & Piao, R. (2013). Climate change impacts population dynamics and distribution shift of moose (Alces alces) in Heilongjiang Province of China. Ecological Research, 28(4), 625–632.
Elith, J., Graham, C. H., Anderson, R. P., Dudík, M., Ferrier, S., Guisan, A., … Lehmann, A. (2006). Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29(2), 129–151.
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43–57.
Fan, J., Li, J., Xia, R., Hu, L., Wu, X., & Li, G. (2014). Assessing the impact of climate change on the habitat distribution of the giant panda in the Qinling Mountains of China. Ecological Modelling, 274, 12–20.
Fluss, R., Faraggi, D., & Reiser, B. (2005). Estimation of the Youden Index and its associated cutoff point. Biometrical Journal, 47(4), 458–472.
Foretry Department of Sichuan Province. The pandas of Sichuan: The 4th survey report on giant panda in Sichuan province. (Sichuan Science and Technology Press, 2015)
Gomes, V. H. F., Ijff, S. D., Raes, N., Amaral, I. L., Salomão, R. P., Coelho, L. D. Gomes, Vitor H.F., Stéphanie D. Ijff, Niels Raes, Iêda Leão Amaral, Rafael P. Salomão, Luiz De Souza Coelho, Francisca Dionízia De Almeida Matos, Carolina V. Castilho, Diogenes De Andrade Lima Filho, and Dairon Cárdenas López. (2018). Species Distribution Modelling: Contrasting Presence-Only Models with Plot Abundance Data.Scientific Reports, 8 (1): 1003–1003.
Grenyer, Richard, C. David L Orme, Sarah F. Jackson, Gavin H. Thomas, Richard G. Davies, T. Jonathan Davies, Kate E. Jones, Valerie A. Olson, Robert S. Ridgely, and Pamela C. Rasmussen. (2006). Global Distribution and Conservation of Rare and Threatened Vertebrates.Nature, 444 (7115): 93–96.
Guan T.P., Ge B.M., Chen L.M., You Z.Q., Tang Z.H., Liu H., Song Y.L. 2015 .Home range and fidelity of Sichuan takin.Acta Ecologica Sinica, 35(6):1862-1868.
Guan, T.P., Ge, B.M., McShea, W. J., Li, S., Song, Y.L., & Stewart, C. M. (2013). Seasonal migration by a large forest ungulate: a study on takin (Budorcas taxicolor) in Sichuan Province, China. European Journal of Wildlife Research, 59(1), 81–91.
Halvorsen, R. (2013). A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling. Sommerfeltia, 36(1), 1–132.
He, Ke, Qiang Dai, Xianghui Gu, Zejun Zhang, Jiang Zhou, Dunwu Qi, Xiaodong Gu, Xuyu Yang, Wen Zhang, and Biao Yang. (2019). Effects of Roads on Giant Panda Distribution: A Mountain Range Scale Evaluation. Scientific Reports, 9(1), 1–8.
IUCN Standards and Petitions Committee. 2019. Guidelines for Using the IUCN Red List Categories and Criteria. Version 14. Prepared by the Standards and Petitions Committee. Downloadable from http://www.iucnredlist.org/documents/RedListGuidelines.pdf
Jetz, W., McPherson, J. M., & Guralnick, R. P. (2012). Integrating biodiversity distribution knowledge: toward a global map of life. Trends in Ecology and Evolution, 27(3), 151–159.
Jiang ZG, Jiang JP, Wang YZ, Zhang E, Zhang YY, Li LL, Xie F, Cai B, Cao L, Zheng GM(2016).Red List of China’s Vertebrates.Biodiversity Science,24 (5): 500–551.
Jiménez-Alfaro, B., Draper, D., & Nogués-Bravo, D. (2012). Modeling the potential area of occupancy at fine resolution may reduce uncertainty in species range estimates. Biological Conservation, 147(1), 190–196.
Kaky, E., Nolan, V., Alatawi, A., & Gilbert, F. (2020). A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants. Ecological Informatics, 60, 101150.
Khadka, K. K., Kannan, R., Ilyas, O., Abbas, F., & James, D. A. (2017). Where are they? Where will they be? In pursuit of current and future whereabouts of endangered Himalayan musk deer. Mammalian Biology, 85, 30–36.
Kumar, S., & Stohlgren, T. J. (2009). Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. Journal of Ecology and the Natural Environment, 1(4), 94–98.
Li, Yu, Andrés Viña, Wu Yang, Xiaodong Chen, Jindong Zhang, Zhiyun Ouyang, Zai Liang, and Jianguo Gou Liu. 2013. “Effects of Conservation Policies on Forest Cover Change in Giant Panda Habitat Regions, China.” Land Use Policy 33 (33): 42–53.
Liu, Zheng-Xiao, Buddhi Dayananda, Ross A. Jeffree, Cheng Tian, Yu-Yang Zhang, Bing Yu, Yong Zheng, Yang Jing, Pei-Yan Si, and Jun-Qing Li. 2020. “Giant Panda Distribution and Habitat Preference: The Influence of Sympatric Large Mammals.” Global Ecology and Conservation 24.
Marsh, C. J., Gavish, Y., Kunin, W. E., & Brummitt, N. A. (2019). Mind the gap: Can downscaling Area of Occupancy overcome sampling gaps when assessing IUCN Red List status? Diversity and Distributions, 25(12), 1832–1845.
Moat, J., Bachman, S. P., Field, R., & Boyd, D. S. (2018). Refining area of occupancy to address the modifiable areal unit problem in ecology and conservation. Conservation Biology, 32(6), 1278–1289.
Morais, A. R., Siqueira, M. N., Lemes, P., Maciel, N. M., Marco, P. D., & Brito, D. (2013). Unraveling the conservation status of Data Deficient species. Biological Conservation, 166, 98–102.
Moreno-Rueda, G., & Pizarro, M. (2007). The relative influence of climate, environmental heterogeneity, and human population on the distribution of vertebrate species richness in south-eastern Spain. Acta Oecologica-International Journal of Ecology, 32(1), 50–58.
Morris D W . Toward an ecological synthesis: a case for habitat selection[J]. Oecologia, 2003, 136(1):1-13.
Moyle, P. B. , Williams, J. E. . (2010). Biodiversity loss in the temperate zone: decline of the native fish fauna of california. Conservation Biology, 4(3).
Myers, N., Mittermeier, R. A., Mittermeier, C. G., Fonseca, G. A. B. da, & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853–858.
Noroozi, J., Talebi, A., Doostmohammadi, M., Rumpf, S. B., Linder, H. P., & Schneeweiss, G. M. (2018). Hotspots within a global biodiversity hotspot - areas of endemism are associated with high mountain ranges. Scientific Reports, 8(1), 10345–10345.
Ocampo-Peñuela, N., Jenkins, C. N., Vijay, V., Li, B. V., & Pimm, S. L. (2016). Incorporating explicit geospatial data shows more species at risk of extinction than the current Red List. Science Advances, 2(11).
Onojeghuo, A. O., Blackburn, A. G., Okeke, F., & Onojeghuo, A. R. (2015). Habitat Suitability Modeling of Endangered Primates in Nigeria: Integrating Satellite Remote Sensing and Spatial Modeling Techniques. Journal of Geoscience and Environment Protection, 3(8), 23–38.
Palacio, R. D., Negret, P. J., Velasquez-Tibata, J., & Jacobson, A. P. (2020). A data-driven geospatial workflow to improve mapping species distributions and assessing extinction risk under the IUCN Red List. BioRxiv.
Parra, G. J., & Cagnazzi, D. D. (2016). Conservation Status of the Australian Humpback Dolphin (Sousa sahulensis) Using the IUCN Red List Criteria. In Advances in Marine Biology (Vol. 73, pp. 157–192).
Pena, J. C. de C., Kamino, L. H. Y., Rodrigues, M., Mariano-Neto, E., & Siqueira, M. F. de. (2014). Assessing the conservation status of species with limited available data and disjunct distribution. Biological Conservation, 170, 130–136.
Perry, A. L., Low, P. J., Ellis, J. R., & Reynolds, J. D. (2005). Climate change and distribution shifts in marine fishes. Science, 308(5730), 1912–1915.
Phillips, S. J., & Dudík, M. (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2), 161–175.
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3), 231–259.
Pimm, S. L., Jenkins, C. N., Abell, R., Brooks, T. M., Gittleman, J. L., Joppa, L. N., … Sexton, J. O. (2014). The biodiversity of species and their rates of extinction, distribution, and protection. Science, 344(6187), 1246752–1246752.
Popov, I., Fadeeva, A., Palenova, E., Shamilishvily, G., Gorin, K., Burdo, A., … Morova, N. (2017). Effectiveness of “Тhe iucn Red list of threatened species” application on a regional scale: current state of the “Red Data books” of Russia. Biological Communications, 62(1), 57–60.
Ramesh, V., Gopalakrishna, T., Barve, S., & Melnick, D. J. (2017). IUCN greatly underestimates threat levels of endemic birds in the Western Ghats. Biological Conservation, 210, 205–221.
Roberts, D. L., Taylor, L., & Joppa, L. N. (2016). Threatened or Data Deficient: assessing the conservation status of poorly known species. Diversity and Distributions, 22(5), 558–565.
Sánchez-Bayo, F., Wyckhuys, K. A. G. (2019). Worldwide decline of the entomofauna: A review of its drivers. Biological Conservation, 232, 8–27.
Santini, L., Butchart, S. H. M., Rondinini, C., Benítez‐López, A., Hilbers, J. P., Schipper, A. M., … Huijbregts, M. A. J. (2019). Applying habitat and population‐density models to land‐cover time series to inform IUCN Red List assessments. Conservation Biology, 33(5), 1084–1093.
Schluter, D., & Pennell, M. W. (2017). Speciation gradients and the distribution of biodiversity. Nature, 546(7656), 48–55.
Sheng Li. Development progress and outlook of the wildlife camera-trapping networks in China. Biodiversity Science[J], 2020, 28(9): 1045-1048
Sillero, N., Campos, J., Bonardi, A., Corti, C., Creemers, R., Crochet, P.-A., … Gonçalves, J. (2014). Updated distribution and biogeography of amphibians and reptiles of Europe. Amphibia-Reptilia, 35(1), 1–31.
Stabach, J. A. , Wittemyer, G. , Boone, R. B. , Reid, R. S. , & Worden, J. S. . (2016). Variation in habitat selection by white-bearded wildebeest across different degrees of human disturbance. Ecosphere, 7(8), e01428.
Syfert, M. M., Joppa, L., Smith, M. J., Coomes, D. A., Bachman, S. P., & Brummitt, N. A. (2014). Using species distribution models to inform IUCN Red List assessments. Biological Conservation, 177, 174–184.
Tang, Junfeng, Ronald R Swaisgood, Megan A Owen, Xuzhe Zhao, Wei Wei, Nicholas W Pilfold, Fuwen Wei, Xuyu Yang, Xiaodong Gu, and Zhisong Yang. (2020). Climate change and landscape-use patterns influence recent past distribution of giant pandas. Proceedings of The Royal Society B: Biological Sciences, 287(1929), 20200358.
Thapa, Arjun, Ruidong Wu, Yibo Hu, Yonggang Nie, Paras B. Singh, Janak R. Khatiwada, Li Yan, Xiaodong Gu, and Fuwen Wei. (2018). Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling. Ecology and Evolution, 8(21), 10542–10554.
Wang, F. , Winkler, J. , Andrés Via, Mcshea, W. J. , & Liu, J. . (2021). The hidden risk of using umbrella species as conservation surrogates: a spatio-temporal approach. Biological Conservation, 253(1), 108913.
Yan, W, Zeng, Z, Gong, H, Duan, Y, Zhao, L, & Peng, A. (2020). Locomotor activity patterns of takin (Budorcas taxicolor) in a temperate mountain region. PLOS ONE, 15(7).
Zhang, DC., Boufford, D. E., Ree, R. H., & Sun, H. (2009). The 29°N latitudinal line: an important division in the Hengduan Mountains, a biodiversity hotspot in southwest China. Nordic Journal of Botany, 27(5), 405–412.
Zhang, J., Jiang, F., Li, G., Qin, W., Li, S., Gao, H., … Zhang, T. (2019). Maxent modeling for predicting the spatial distribution of three raptors in the Sanjiangyuan National Park, China. Ecology and Evolution, 9(11), 6643–6654.
Zheng, W., Xu, Y., Liao, L., Yang, X., Gu, X., Shang, T., & Ran, J. (2012). Effect of the Wenchuan earthquake on habitat use patterns of the giant panda in the Minshan Mountains, southwestern China. Biological Conservation, 145(1), 241–245.