Spatial and temporal patterns of fuelwood collection in Wolong Nature Reserve: Implications for panda conservation

Department of Sociology & Anthropology, Middle Tennessee State University, Murfreesboro, TN 37132, USA
Landscape and Urban Planning (Impact Factor: 3.04). 08/2009; 92:1-9. DOI: 10.1016/j.landurbplan.2009.01.010

ABSTRACT Approximately 3 billion people, half of the World's population, are still using fuelwood in their daily lives. Fuelwood collection has been recognized as an important factor in habitat fragmentation and degradation and biodiversity loss, especially in developing countries. Understanding spatial and temporal patterns of fuelwood collection is fundamental to understanding human–environment interactions and designing effective conservation policies. Using Wolong Nature Reserve for giant pandas (Ailuropoda melanoleuca) in China as an example, we surveyed 200 rural households for the locations of their fuelwood collection sites in the past three decades (1970s, 1980s, and 1990s) and other ecological, economic, social, and demographic data. We found that fuelwood collection sites were becoming higher in elevation, more remote, and closer to highly suitable panda habitat from the 1970s to the 1990s. Consequently, fuelwood collectors were traveling longer distances to physically challenging areas, in our case, to areas of high-quality panda habitat. These spatial and temporal patterns of fuelwood collection suggest that future conservation policies for giant pandas, and other species worldwide, should also consider the needs of local communities.

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Available from: Jianguo Liu, Sep 28, 2015
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    • "Giant panda habitat suitability models often rely on binary classifications of forest versus non-forest as a primary measure to delineate areas suitable for panda inhabitance (Liu et al. 1999, 2004; Wang et al. 2010). Our findings suggest that it is also important to include other human disturbances in addition to timber harvesting (An et al. 2006; He et al. 2009; Linderman et al. 2006; Tuanmu et al. 2011), as current forested areas in otherwise suitable giant panda habitat may be subjected to threats such as livestock grazing that may only be detected using field surveys. Our habitat selection analysis showed both similarities and differences in habitat selection by pandas and horses. "
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    Journal for Nature Conservation 06/2014; 22(3). DOI:10.1016/j.jnc.2014.02.003 · 1.65 Impact Factor
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    • "This paper aims to study one form of CO 2 emission -wood heating, because households in poor countries make extensive use of this heating method. Fuelwood consumption is a particularly important problem, since approximately half of the world's population uses fuelwood in their daily lives (He et al., 2009). Furthermore, poverty levels are increasing in developed countries like Hungary and wood heating is becoming dominant especially in more underdeveloped rural areas. "
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    • "Detection probability , p, can vary with time in addition to trapspecific covariates (i.e., environmental and human factors) (MacKenzie et al. 2002). To create a time-specific covariate, we calculated the Julian date (Hein et al. 2009) for each day that the traps were operational. Detection probability was allowed to vary in response to time and trapspecific covariates using a logistic regression model: "
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