气候变化领域集成服务门户(CCPortal): Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement

CCPortal

DOI	10.1016/j.foreco.2020.118517
	Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement
	Hu W.; Wang Y.; Dong P.; Zhang D.; Yu W.; Ma Z.; Chen G.; Liu Z.; Du J.; Chen B.; Lei G.
发表日期	2020
ISSN	0378-1127
卷号	478
英文摘要	Mangroves play an important role in maintaining coastal wetland ecosystem functions, but they are highly threatened by anthropogenic activities. Predicting the potential distributions of mangroves is vital for policy makers and stakeholders to enforce conservation and reforestation measures. China is at the global northern margin of mangrove distribution. In this study, we used the maximum entropy (MaxEnt) model to predict potentially suitable habitats for mangroves based on current data of mangrove distributions in mainland China. For modeling, we grouped the native and exotic mangrove species in China into five groups and used 30 bioclimate, topographic, substrate, and sea surface temperature variables to predict mangrove distributions. The results show that bioclimate and sea surface temperature are both important factors that determine mangrove distribution. The largest suitable area modeled for mangrove species in the coastal zone was 2705 km2. About 14.8% of the predicted suitable habitat for the five mangrove groups is under protection in mangrove nature reserves. Along China's coastline, 15 sites were identified as hotspots for mangrove conservation and reforestation. By comparing these results with current conservation efforts, we identified that protection priority should be given to the Beilun River Estuary to Fangcheng Harbor coastal zone in Guangxi Province, the east coast of the Leizhou Peninsula in Guangdong Province, and the Meizhou Bay to Xinghua Bay area in Fujian Province. In addition, suitable species selection should also be considered to achieve successful mangrove reforestation. © 2020 Elsevier B.V.
英文关键词	Mangrove conservation; Mangrove distribution; Maximum entropy model; Suitable habitat
语种	英语
scopus关键词	Atmospheric temperature; Coastal zones; Ecosystems; Forecasting; Oceanography; Reforestation; Submarine geophysics; Surface properties; Surface waters; Wetlands; Anthropogenic activity; Coastal wetlands; Current conservation; Ecological niche modeling; Guangdong Province; Potential distributions; Sea surface temperature (SST); Species selection; Population distribution; bioclimatology; coastal wetland; coastal zone; conservation planning; ecosystem function; human activity; mangrove; reforestation; sea surface temperature; stakeholder; topography; Ecosystems; Forecasts; Oceanography; Reforestation; Surface Properties; Temperature; Beilun Estuary; China; Fujian; Guangdong; Guangxi Zhuangzu; Guangxi Zhuangzu; Leizhou Peninsula; Meizhou; Xinghua Bay; Rhizophoraceae
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/154950
作者单位	Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration, Xiamen, China
推荐引用方式 GB/T 7714	Hu W.,Wang Y.,Dong P.,et al. Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement[J],2020,478.
APA	Hu W..,Wang Y..,Dong P..,Zhang D..,Yu W..,...&Lei G..(2020).Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement.Forest Ecology and Management,478.
MLA	Hu W.,et al."Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement".Forest Ecology and Management 478(2020).