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Unformatted text preview: Society for Conservation Biology $ )UDPHZRUN IRU (YDOXDWLQJ WKH (IIHFWV RI +XPDQ )DFWRUV RQ :LOGOLIH +DELWDW 7KH &DVH RI *LDQW 3DQGDV $XWKRUV -LDQJXR /LX =KL\XQ 2X\DQJ :LOOLDP : 7D\ORU 5LFKDUG *URRS <LQJFKXQ 7DQ +HPLQJ =KDQJ 6RXUFH &RQVHUYDWLRQ %LRORJ\ 9RO 1R 'HF SS 3XEOLVKHG E\ Blackwell Publishing IRU Society for Conservation Biology 6WDEOH 85/ http://www.jstor.org/stable/2641959 . $FFHVVHG Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact email@example.com. Blackwell Publishing and Society for Conservation Biology are collaborating with JSTOR to digitize, preserve and extend access to Conservation Biology. http://www.jstor.org A Framework for Evaluating the Effects of Human Factors on Wildlife Habitat: the Case of Giant Pandas JIANGUO LIU,*t ZHIYUN OUYANG,t WILLIAM W. TAYLOR,* RICHARD GROOP,? YINGCHUN TAN,** AND HEMING ZHANG** *Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, U.S.A t Department of Systems Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China ? Department of Geography, Michigan State University, East Lansing, MI 48824, U.S.A. **Wolong Giant Panda Research Center, Sichuan, China Abstract: To address the complex interactions between huminans and wildlife habitat, we developed a concep- tual framework that links human factors with forested landscapes and wildlife habitat. All the components in the framework are integrated into systems models that analyze the effects of human factors and project how wildlife habitat would change under different policy scenarios. As q case study, we applied this frame- work to the Wolong Nature Reserve in Sichuan Province (southwestern China), the largest home of the giant panda (Ailuropoda melanoleuca). We collected ecological and socioeconomic data with a combination of var- ious methods (field observations, aerial photographs, government documents and statistics, interviews, and household surveys) and employed geographic information systems and systems modeling to analyze and in- tegrate the data sources. Human population size has increased by 66% and the number of households in the reserve has increased by 115% since 1975, when the reserve was established. During the same period, the quality and quantity of the giant panda habitat dramatically decreased because of increasing human activi- ties such asfuelwood collection. Systems modeling predicted that under the status quo, human population in ties such asfuelwood collection....
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