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  2. College of Bioresources and Agriculture / 生物資源暨農學院
  3. Forestry and Resource Conservation / 森林環境暨資源學系
  4. Expansion of protected areas under climate change: An example of mountainous tree species in Taiwan
 
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Expansion of protected areas under climate change: An example of mountainous tree species in Taiwan

Journal
Forests
Journal Volume
5
Journal Issue
11
Pages
2882-2904
Date Issued
2014
Author(s)
Lin W.-C.
Lin Y.-P.
Lien W.-Y.
Wang Y.-C.
Lin C.-T.
Chiou C.-R.
Anthony J.
YU-PIN LIN  
CHYI-RONG CHIOU  
DOI
10.3390/f5112882
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/461125
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84921528208&doi=10.3390%2ff5112882&partnerID=40&md5=919fef3fc7c625beacdd512e4a17e632
Abstract
Tree species in mountainous areas are expected to shift their distribution upward in elevation in response to climate change, calling for a potential redesign of existing protected areas. This study aims to predict whether or not the distributions of two high-mountain tree species, Abies (Abies kawakamii) and Tsuga (Tsuga chinensis var. formosana), will significantly shift upward due to temperature change, and whether current protected areas will be suitable for conserving these species. Future temperature change was projected for 15 different future scenarios produced from five global climate models. Shifts in Abies and Tsuga distributions were then predicted through the use of species distribution models (SDMs) which included occurrence data of Abies and Tsuga, as well as seasonal temperature, and elevation. The 25 km × 25 km downscaled General Circulation Model (GCMs) data for 2020-2039 produced by the Taiwan Climate Change Projection and Information Platform was adopted in this study. Habitat suitability in the study area was calculated using maximum entropy model under different climatic scenarios. A bootstrap method was applied to assess the parameter uncertainty of the maximum entropy model. In comparison to the baseline projection, we found that there are significant differences in suitable habitat distributions for Abies and Tsuga under seven of the 15 scenarios. The results suggest that mountainous ecosystems will be substantially impacted by climate change. We also found that the uncertainty originating from GCMs and the parameters of the SDM contribute most to the overall level of variability in species distributions. Finally, based on the uncertainty analysis and the shift in habitat suitability, we applied systematic conservation planning approaches to identify suitable areas to add to Taiwan's protected area network. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
SDGs

[SDGs]SDG13

Other Subjects
Climate models; Conservation; Ecosystems; Entropy; Environmental protection; Forestry; Maximum entropy methods; Population distribution; Space division multiple access; Uncertainty analysis; Climate change projections; General circulation model; Maximum entropy modeling; Mountain trees; Species distribution models; Species distributions; Systematic conservation planning; Uncertainty; Climate change; climate change; conservation planning; general circulation model; montane forest; protected area; spatial distribution; taxonomy; uncertainty analysis; Climates; Conservation; Distribution; Mountains; Planning; Species Identification; Trees; Taiwan; Abies; Abies kawakamii; Tsuga; Tsuga chinensis
Type
journal article

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