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DOI | 10.1016/j.foreco.2019.03.051 |
Distribution of tree species with high economic and livelihood value for Zambia | |
Pelletier J.; Chidumayo E.; Trainor A.; Siampale A.; Mbindo K. | |
发表日期 | 2019 |
ISSN | 0378-1127 |
起始页码 | 280 |
结束页码 | 292 |
卷号 | 441 |
英文摘要 | The sustainable management of dry forests and woodlands of Sub-Saharan Africa (SSA) is crucial for the SSA economy and people's livelihoods but it remains a key challenge to address. Maps of tree species distributions of economic value are lacking for the region; yet, this information is essential for supporting sustainable use. We capitalized on new nation-wide field survey data for the Republic of Zambia (Southern Africa) to generate the first suite of baseline species distribution models (SDMs) for 20 tree species of economic significance to support for sustainable management and conservation. We employed one regression- and two machine learning-based techniques to model and predict tree distribution. For each species, we compared the three model results for the relative importance of different predictive variables, revealing the most important predictors of each species niche and providing insight into how human activities influence current tree species distribution. Overall, environmental predictors that best explained tree species distribution were related to water availability, including mean potential evapotranspiration (PET), annual rainfall, and the variation in PET, as well as elevation and soil fertility. Human impact on distribution was notable for tree species used for charcoal and timber, including the proximity to roads for charcoal-favored species and the proximity to settlement for timber species. For all tree species, fire did not stand out as a variable of importance, contrary to expectations. The SDMs generated from this study will provide essential baseline information to support national conservation and management efforts, especially for preferred timber and charcoal species for which selective harvesting has had an impact on their distribution. Our results highlight the importance of rainfalls for the distribution of tree species in this seasonally dry region and calls for future research to forecast the impacts of climate change on habitat suitability. © 2019 |
英文关键词 | Africa; Charcoal production; Dry tropical forests; Miombo woodands; Mopane woodlands; Species distribution modelling; Timber; Zambia |
语种 | 英语 |
scopus关键词 | Charcoal; Climate change; Conservation; Economics; Forestry; Learning systems; Sustainable development; Timber; Africa; Charcoal production; Dry tropical forests; Miombo woodands; Mopane woodlands; Species distribution modelling; Zambia; Population distribution; biological production; charcoal; climate change; dry forest; ecological modeling; economic analysis; forest management; livelihood; machine learning; spatial distribution; survey method; sustainable development; timber; tropical forest; woodland; Africa; Charcoal; Conservation; Economics; Forestry; Zambia; Zambia; Colophospermum mopane |
来源期刊 | Forest Ecology and Management |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156032 |
作者单位 | Atkinson Center for a Sustainable Future, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, United States; Makeni Savanna Project, Makeni Lusaka, Zambia; The Nature Conservancy Africa Program, University of Cincinnati, Department of Biological Sciences, 820G Rieveschl Hall, Cincinnati, OH 45221, United States; Forestry Department, Ministry of Lands and Natural Resources, Zambia |
推荐引用方式 GB/T 7714 | Pelletier J.,Chidumayo E.,Trainor A.,et al. Distribution of tree species with high economic and livelihood value for Zambia[J],2019,441. |
APA | Pelletier J.,Chidumayo E.,Trainor A.,Siampale A.,&Mbindo K..(2019).Distribution of tree species with high economic and livelihood value for Zambia.Forest Ecology and Management,441. |
MLA | Pelletier J.,et al."Distribution of tree species with high economic and livelihood value for Zambia".Forest Ecology and Management 441(2019). |
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