Assessing the global vulnerability of dryland birds to heatwaves

濒危物种 IUCN红色名录 地理 生物多样性 生态学 气候变化 人口 脆弱物种 生物多样性热点 濒危物种 生物 栖息地 人口学 社会学
作者
Chenchen Ding,Tim Newbold,Eric I. Ameca
出处
期刊:Global Change Biology [Wiley]
卷期号:30 (1): e17136-e17136 被引量:9
标识
DOI:10.1111/gcb.17136
摘要

Abstract As global average surface temperature increases, extreme climatic events such as heatwaves are becoming more frequent and intense, which can drive biodiversity responses such as rapid population declines and/or shifts in species distributions and even local extirpations. However, the impacts of extreme climatic events are largely ignored in conservation plans. Birds are known to be susceptible to heatwaves, especially in dryland ecosystems. Understanding which birds are most vulnerable to heatwaves, and where these birds occur, can offer a scientific basis for adaptive management and conservation. We assessed the relative vulnerability of 1196 dryland bird species to heatwaves using a trait‐based approach. Among them, 888 bird species are estimated to be vulnerable to heatwaves (170 highly vulnerable, eight extremely vulnerable), of which ~91% are currently considered non‐threatened by the IUCN, which suggests that many species will likely become newly threatened with intensifying climate change. We identified the top three hotspot areas of heatwave‐vulnerable species in Australia (208 species), Southern Africa (125 species) and Eastern Africa (99 species). Populations of vulnerable species recorded in the Living Planet Database were found to be declining significantly faster than those of non‐vulnerable species ( p = .048) after heatwaves occurred. In contrast, no significant difference in population trends between vulnerable and non‐vulnerable species was detected when no heatwave occurred ( p = .34). This suggests that our vulnerability framework correctly identified vulnerable species and that heatwaves are already impacting the population trends of these species. Our findings will help prioritize heatwave‐vulnerable birds in dryland ecosystems in risk mitigation and adaptation management as the frequency of heatwaves accelerates in the coming decades.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
Owen应助KK采纳,获得10
2秒前
2秒前
Mhj13810发布了新的文献求助10
2秒前
Ava应助Tomi采纳,获得10
4秒前
英俊的铭应助务实的语芙采纳,获得10
4秒前
6秒前
SciGPT应助刘婷娜采纳,获得10
6秒前
pgwqx完成签到 ,获得积分10
6秒前
6秒前
9秒前
Lucas应助霸气乐菱采纳,获得10
9秒前
科研通AI6.2应助zhan采纳,获得10
9秒前
9秒前
Hello应助路宇鹏采纳,获得10
10秒前
11秒前
鞋子完成签到 ,获得积分10
11秒前
YS完成签到,获得积分20
12秒前
12秒前
13秒前
13秒前
Chem发布了新的文献求助10
14秒前
KK发布了新的文献求助10
15秒前
bkagyin应助luxury采纳,获得10
15秒前
AAAAAAA完成签到,获得积分10
16秒前
大猫发布了新的文献求助30
16秒前
17秒前
虚幻寻真完成签到,获得积分10
18秒前
刘婷娜发布了新的文献求助10
18秒前
18秒前
liu发布了新的文献求助10
19秒前
糖诗完成签到 ,获得积分10
19秒前
xiaxia发布了新的文献求助10
19秒前
19秒前
在水一方应助科研通管家采纳,获得10
22秒前
Nole应助科研通管家采纳,获得10
23秒前
斯文败类应助科研通管家采纳,获得10
23秒前
v0id应助科研通管家采纳,获得10
23秒前
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631651
求助须知:如何正确求助?哪些是违规求助? 9206098
关于积分的说明 19743435
捐赠科研通 7200868
什么是DOI,文献DOI怎么找? 3274651
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271265