globalchange  > 气候减缓与适应
DOI: 10.1002/ldr.3206
WOS记录号: WOS:000454406600007
论文题名:
Early warning signals for landscape connectivity and resilient conservation solutions
作者: Li, Yi1; Yin, Bingchao1; Li, Yangfan1,2
通讯作者: Li, Yangfan
刊名: LAND DEGRADATION & DEVELOPMENT
ISSN: 1085-3278
EISSN: 1099-145X
出版年: 2019
卷: 30, 期:1, 页码:73-83
语种: 英语
英文关键词: climate ; gradient connectivity ; human influences ; early warning ; spatial resilience ; seminatural land ; coastal area
WOS关键词: CLIMATE-CHANGE ; HUMAN FOOTPRINT ; LAND-USE ; BIODIVERSITY ; SCALE ; ECOSYSTEMS ; MANAGEMENT ; IMPACTS ; HABITAT ; MODEL
WOS学科分类: Environmental Sciences ; Soil Science
WOS研究方向: Environmental Sciences & Ecology ; Agriculture
英文摘要:

The ever-increasing and unprecedented impacts of human activities on natural landscapes are dramatically altering the heterogeneity of habitats and biodiversity. We developed a holistic resilience-based framework to identify the early warning points of climate-gradient landscape connectivity; the results offer the first map capable of providing information about landscape connectivity in the coastal provinces of mainland China. The results show that only 24% of natural/seminatural lands retained sufficient connectivity, which is considered to be high-quality patches for animals to move through temperature gradient corridors. Moreover, the critical junctions, such as the tipping points and early warning points of landscape connectivity, were mainly detected in seminatural lands (forests and grasslands). Increasing connections in these seminatural lands initiated the permeability of landscape connectivity in coastal areas, which are essential for accessing suitable habitats with low temperatures. By connecting fragmented patches into a landscape network, the transition zones in seminatural lands highlight priority locations for ecologists and conservation managers as natural solutions to configure the most effective conservation areas.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/127995
Appears in Collections:气候减缓与适应

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作者单位: 1.Xiamen Univ, Key Lab Coastal & Wetland Ecosyst, Minist Educ, Coll Environm & Ecol, South XiangAn Rd, Xiamen 361102, Peoples R China
2.Xiamen Univ, Fujian Prov Key Lab Coastal Ecol & Environm Studi, Xiamen 361102, Peoples R China

Recommended Citation:
Li, Yi,Yin, Bingchao,Li, Yangfan. Early warning signals for landscape connectivity and resilient conservation solutions[J]. LAND DEGRADATION & DEVELOPMENT,2019-01-01,30(1):73-83
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