IB-CAS  > 植被与环境变化国家重点实验室
Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation
Li, Guoqing1,2; Xu, Guanghua3; Guo, Ke4; Du, Sheng1,2
2016
发表期刊ECOLOGICAL ENGINEERING
ISSN0925-8574
卷号86页码:75-84
摘要Pinus tabulaeformis, as an endemic species in China, is one of the main tree species for afforestation. For rational cultivation planning and conservation, it is necessary to understand the geographical boundaries and the ecological characteristics of P. tabulaeformis, and to explore its priority afforestation areas. In this study, maximum entropy modeling (MaxEnt) was used to identify and prioritize suitable habitats of P. tabulaeformis, based on 13 climatic variables and GlobCover 2009 data. The results show that the MaxEnt model performs better than random prediction, with an average test area under the curve (AUC) value of 0.93 (0.91-0.94). Precipitation of wettest month (PWM), annual biotemperature (ABT), mean temperature of the coldest month (MTCM), annual mean temperature (AMT), precipitation of driest month (PDM), coldness index (CI), annual precipitation (AP), and mean temperature of the warmest month (MTWM) are identified as dominant variables which explain 94.6% of variability the geographical distribution of P. tabulaeformis. Climatic conditions of P. tabulaeformis in the core area of its distribution are as follows: PWM, 100-246 mm; ABT, 3.0-4.7 degrees C; MTCM, 20.2 to 1.1 degrees C; AMT, 2.9-14.7 degrees C; PDM, 2-11 mm; CI, 49.4-0 degrees C; AP, 431-1122 mm; and MTWM, 19.6-31.2 degrees C. The suitable areas for afforestation are 2.6 x 10(4) km(2) (patches with an area >1 km(2)), 1.6 x 10(4) km(2) (patches with an area >10 km(2)), and 1.2 x 10(4) km(2) (patches with an area >100 km(2)), which are mainly located in north Shaanxi, south Ningxia, and the middle of Gansu and Liaoning provinces with serious landscape fragmentation caused by human agricultural activities. Our simulation results can improve our understanding of the geographical and ecological characteristics of P. tabulaeformis and provide prediction of priority areas for afforestation of this species under current and future climate change scenarios in China. (C) 2015 Elsevier B.V. All rights reserved.
关键词Species distribution model Ecological niche Geographical boundary Afforestation Climate change Vegetation mapping
学科领域Ecology ; Engineering, Environmental ; Environmental Sciences
DOI10.1016/j.ecoleng.2015.10.032
收录类别SCI
语种英语
WOS关键词MAXIMUM-ENTROPY ; PREDICTION
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000367093600011
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN1872-6992
资助机构National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31300407] ; Specialized Research Fund for the Doctoral Program of Higher EducationSpecialized Research Fund for the Doctoral Program of Higher Education (SRFDP) [20130204120028] ; Chinese Universities Scientific Fund [2014YB054]
作者邮箱shengdu@ms.iswc.ac.cn
引用统计
被引频次:33[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/25219
专题植被与环境变化国家重点实验室
作者单位1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China
2.Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Peoples R China
3.Minist Water Resources, Yangling 712100, Peoples R China
4.Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Hunan, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
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GB/T 7714
Li, Guoqing,Xu, Guanghua,Guo, Ke,et al. Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation[J]. ECOLOGICAL ENGINEERING,2016,86:75-84.
APA Li, Guoqing,Xu, Guanghua,Guo, Ke,&Du, Sheng.(2016).Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation.ECOLOGICAL ENGINEERING,86,75-84.
MLA Li, Guoqing,et al."Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation".ECOLOGICAL ENGINEERING 86(2016):75-84.
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