Article (Scientific journals)
Bridging climate refuges for climate change adaptation: A spatio-temporal connectivity network approach
Xu, Dongmei; Peng, Jian; Liu, Menglin et al.
2025In Geography and Sustainability, 6 (2), p. 100235
Peer Reviewed verified by ORBi
 

Files


Full Text
Xu et al 2025 Geography and Sustainability.pdf
Author postprint (2.64 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Connectivity corridor; Future climate change scenarios; Minimum cumulative resistance model; Species distribution; Tibetan wild ass; Geography, Planning and Development; Ecology; Earth-Surface Processes; Nature and Landscape Conservation
Abstract :
[en] Enhancing the spatio-temporal connectivity of dynamic landscapes is crucial for species to adapt to climate change. However, the spatio-temporal connectivity network approach considering climate change and species movement is often overlooked. Taking Tibetan wild ass on the Qinghai-Xizang Plateau as an example, we simulated species distribution under current (2019) and future scenarios (2100), constructed spatio-temporal connectivity networks, and assessed the spatio-temporal connectivity. The results show that under the current, SSP2–4.5 and SSP3–7.0 scenarios, suitable habitats for the Tibetan wild ass account for 21.11 %, 21.34 %, and 20.95 % of the total area, respectively, with increased fragmentation projected by 2100. 78.35 % of the habitats which are predicted to be suitable under current conditions will remain suitable in the future, which can be regarded as stable climate refuges. With the increase in future emission intensity, the percentage of auxiliary connectivity corridors increases from 27.65 % to 33.57 %. This indicates that more patches will function as temporary refuges and the auxiliary connectivity corridors will gradually weaken the dominance of direct connectivity corridors. Under different SSP-RCP scenarios, the internal spatio-temporal connectivity is always higher than direct connectivity and auxiliary connectivity, accounting for 42 %–43 %. Compared with the spatio-temporal perspective, the purely spatial perspective overestimates network connectivity by about 28 % considering all current and future patches, and underestimates network connectivity by 16 %–21 % when only considering all current or future patches. In this study, a new approach of spatio-temporal connectivity network is proposed to bridge climate refuges, which contributes to the long-term effectiveness of conservation networks for species’ adaptation to climate change.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Xu, Dongmei;  Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, China
Peng, Jian ;  Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, China
Liu, Menglin;  Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, China
Jiang, Hong;  Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, China
Tang, Hui;  Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, China
Dong, Jianquan;  School of Landscape Architecture, Beijing Forestry University, China
Meersmans, Jeroen  ;  Université de Liège - ULiège > Département GxABT > Echanges Eau - Sol - Plantes
Language :
English
Title :
Bridging climate refuges for climate change adaptation: A spatio-temporal connectivity network approach
Publication date :
April 2025
Journal title :
Geography and Sustainability
eISSN :
2666-6839
Publisher :
Beijing Normal University Press
Volume :
6
Issue :
2
Pages :
100235
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This research was financially supported by the National Key Research and Development Program of China (Grant No. 2022YFF1303201).
Available on ORBi :
since 08 May 2025

Statistics


Number of views
29 (0 by ULiège)
Number of downloads
30 (0 by ULiège)

Scopus citations®
 
6
Scopus citations®
without self-citations
4
OpenCitations
 
0
OpenAlex citations
 
6

Bibliography


Similar publications



Contact ORBi