title: Old-growth forest is what giant pandas really need.
abstract: Giant pandas (Ailuropoda melanoleuca) are an iconic conservation species, but despite significant research effort, do we understand what they really need? Estimating and mapping suitable habitat play a critical role in conservation planning and policy. But if assumptions about ecological needs are wrong, maps with misidentified suitable habitat will misguide conservation action. Here, we use an information-theoretic approach to analyse the largest, landscape-level dataset on panda habitat use to date, and challenge the prevailing wisdom about panda habitat needs. We show that pandas are associated with old-growth forest more than with any ecological variable other than bamboo. Other factors traditionally used in panda habitat models, such as topographic slope, are less important. We suggest that our findings are disparate from previous research in part because our research was conducted over a larger ecological scale than previous research conducted over more circumscribed areas within individual reserves. Thus, extrapolating from habitat studies on small scales to conservation planning on large scales may entail some risk. As the Chinese government is considering the renewal of its logging ban, it should take heed of the panda's dependency on old growth.
authors.affiliation: Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Science, Beijing, People's Republic of China.
authors.forename: Zejun
authors.initials: Z
authors.lastname: Zhang
authors.forename: Ronald R
authors.initials: RR
authors.lastname: Swaisgood
authors.forename: Shanning
authors.initials: S
authors.lastname: Zhang
authors.forename: Lisa A
authors.initials: LA
authors.lastname: Nordstrom
authors.forename: Hongjia
authors.initials: H
authors.lastname: Wang
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Gu
authors.forename: Jinchu
authors.initials: J
authors.lastname: Hu
authors.forename: Fuwen
authors.initials: F
authors.lastname: Wei
mesh_terms: D000818:Animals; D002681:China; D003247:Conservation of Natural Resources; D017753:Ecosystem; D056727:Endangered Species; D007257:Information Theory; D014197:Trees; D001503:Ursidae