Journal article
Simulating demographic and socioeconomic processes on household level and implications for giant panda habitats
Ecological modelling, Vol.140(1), pp.31-49
2001
DOI: 10.1016/S0304-3800(01)00267-8
Abstract
Human activities have significantly affected wildlife habitats. Although the ecological effects of human impacts have been demonstrated in many studies, the socioeconomic drivers underlying these human impacts have seldom been studied. We developed a household-based, stochastic, and dynamic model that simulates the impacts of household demographic and socioeconomic interactions on fuelwood use, a key factor affecting the quantity and quality of habitats for the giant pandas (
Ailuropoda melanoleuca). Using Wolong Nature Reserve (China) as a case study, this model mimics household production and consumption processes and integrates various demographic and socioeconomic factors. Household interviews conducted in 1998 within the Reserve provided the data for parameterization. The simulation results fit well with both the data used in constructing the model and with a set of independent data. Age structure and cropland area were found to be the most sensitive factors in terms of fuelwood consumption, and thus deserve more attention in panda habitat conservation. This model could help reserve managers to understand the interrelationships among local economy, local cultural traditions, and habitat degradation, facilitating more scientific and economically efficient policymaking.
Details
- Title: Subtitle
- Simulating demographic and socioeconomic processes on household level and implications for giant panda habitats
- Creators
- Li An - Michigan State UniversityJianguo Liu - Michigan State UniversityZhiyun Ouyang - Chinese Academy of SciencesMarc Linderman - Michigan State UniversityShiqiang Zhou - Giant Panda Research Center of China, Wolong Nature Reserve, Wenchuan County, Sichuan Province, PR ChinaHemin Zhang - Giant Panda Research Center of China, Wolong Nature Reserve, Wenchuan County, Sichuan Province, PR China
- Resource Type
- Journal article
- Publication Details
- Ecological modelling, Vol.140(1), pp.31-49
- Publisher
- Elsevier B.V
- DOI
- 10.1016/S0304-3800(01)00267-8
- ISSN
- 0304-3800
- eISSN
- 1872-7026
- Language
- English
- Date published
- 2001
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9984259634102771
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