Climate change and the suitability of local and non-local species for ecosystem restoration

被引:19
|
作者
Harrison, Peter A. [1 ]
机构
[1] Univ Tasmania, Ctr Forest Value, Sch Nat Sci, Private Bag 55, Hobart, Tas 7000, Australia
基金
澳大利亚研究理事会;
关键词
climate-adjusted provenancing; emerging ecosystems; Eucalyptus; novel climates; species distribution model; ECOLOGICAL RESTORATION; R-PACKAGE; BIODIVERSITY; NICHE; SOUTH; DISTRIBUTIONS; PROJECTIONS; MIGRATION; RESPONSES; HABITAT;
D O I
10.1111/emr.12520
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Restoring damaged, degraded and destroyed forest ecosystems to a target state often follows a local-is-best approach. However, rapidly changing climates may result in the local species no longer being the best now or into the future. This raises questions about whether there is a need to consider emerging ecosystems that bring together local and non-local species that have not historically co-occurred to ensure climate-resilience of restored forest ecosystems; or whether non-regional species may be needed to support ecosystem functionality in some areas. In this study, I present an experimental framework to assist decision-making by evaluating the suitability of local and non-local native species for ecosystem restoration under current and predicted climates. I applied this framework using the Tasmanian Midlands, Australia, as a case study, focusing of the diverse eucalypt flora of the island. Three key findings emerged. Firstly, the climate of the Midlandsz has rapidly changed across this biodiversity hotspot over the last century, and current mean annual maximum temperatures are already tracking worse case climate change scenarios. Secondly, using a combination of climate envelope modelling and habitat suitability modelling, I identified the degree to which the Midlands region provides suitable climate habitat for a range of local and non-local Eucalyptus species now and into the future. Thirdly, although the Midlands is predicted to support suitable climate habitat for 82% of the regionally local eucalypt species now and into the future, it is predicted that the local populations of these least vulnerable species may be at risk of climate maladaptation, particularly in the northern regions of the Midlands. Models suggests that mixing local seed with non-local seed sources currently occupying habitat with a climate that is predicted for the Midlands will be required. The study provides a basis for managers to consider the suitability of regionally local species and identify potential areas where local seed may need to be supplemented with non-local seed for ecosystem restoration in the face of climate change.
引用
收藏
页码:75 / 91
页数:17
相关论文
共 50 条
  • [1] Winter tourism and climate change: Exploring local and non-local snowmobilers ' perceptions of climate change and adaptation behaviors
    Xiao, Xiao
    Perry, Elizabeth E.
    Gao, Jie
    Lu, Junyu
    Manning, Robert
    [J]. JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND MANAGEMENT, 2020, 31
  • [2] Integrating Local and Non-local Denoiser Priors for Image Restoration
    Gu, Shuhang
    Timofte, Radu
    Van Gool, Luc
    [J]. 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 2923 - 2928
  • [3] Non-local Sparse Models for Image Restoration
    Mairal, Julien
    Bach, Francis
    Ponce, Jean
    Sapiro, Guillermo
    Zisserman, Andrew
    [J]. 2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2009, : 2272 - 2279
  • [4] Non-Local Recurrent Network for Image Restoration
    Liu, Ding
    Wen, Bihan
    Fan, Yuchen
    Loy, Chen Change
    Huang, Thomas S.
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [5] A Non-Local Enhanced Network for Image Restoration
    Huang, Yuan
    Hou, Xingsong
    Dun, Yujie
    Chen, Zan
    Qian, Xueming
    [J]. IEEE ACCESS, 2022, 10 : 29528 - 29542
  • [6] NON-LOCAL FIELD AND NON-LOCAL INTERACTION
    KATAYAMA, Y
    [J]. PROGRESS OF THEORETICAL PHYSICS, 1952, 8 (03): : 381 - 382
  • [7] Image Restoration Based on PDEs and a Non-local Algorithm
    Xu, Lei
    Zhang, Xiaoling
    Lam, Kin-Man
    Xie, Jin
    [J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING-PCM 2010, PT II, 2010, 6298 : 362 - +
  • [8] Non-Local Kernel Regression for Image and Video Restoration
    Zhang, Haichao
    Yang, Jianchao
    Zhang, Yanning
    Huang, Thomas S.
    [J]. COMPUTER VISION-ECCV 2010, PT III, 2010, 6313 : 566 - +
  • [9] General non-local electrodynamics: Equations and non-local effects
    Tarasov, Vasily E.
    [J]. ANNALS OF PHYSICS, 2022, 445
  • [10] Iterative image restoration using a non-local regularization function and a local regularization operator
    Xue, Feng
    Liu, Quan-sheng
    Fan, Wei-hong
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 2006, : 766 - +