Expanding China’s protected areas network to enhance resilience of climate connectivity

弹性(材料科学) 中国 气候变化 环境资源管理 地理 环境规划 环境科学 生态学 生物 物理 考古 热力学
作者
Dongmei Xu,Jian Peng,Jianquan Dong,Hong Jiang,Menglin Liu,Yuhang Luo,Zihan Xu
出处
期刊:Science Bulletin [Elsevier]
卷期号:69 (14): 2273-2280 被引量:3
标识
DOI:10.1016/j.scib.2024.04.036
摘要

Expanding the network of connected and resilient protected areas (PAs) for climate change adaptation can help species track suitable climate conditions and safeguard biodiversity. This is often overlooked when expanding PAs and quantifying their benefits, resulting in an underestimate of the benefits of expanding PAs. We expanded PAs through terrestrial mammalian species distribution hotspots, Key Biodiversity Areas (KBAs), and wilderness areas. Then, we constructed climate connectivity networks using a resistance-based approach and further quantified the network resilience to propose resilient climate response strategies in China. The results showed that existing PAs suffered from location biases with important biodiversity areas. The existing PAs represented about half of the KBAs and wilderness areas, yet only 12.08% of terrestrial mammalian species distribution hotspots were located within existing PAs. Compared with the existing PA network, the network efficiency and resilience of the expanded PAs' climate connectivity increased to 1.80 times and 1.78 times, respectively. With 56% of the nodes remaining, the network efficiency of the expanded PAs was equivalent to that of the existing PAs with all nodes. The network resilience of preferentially protecting and restoring low human footprint patches was approximately 1.5-2 times that of the random scenario. These findings highlighted that confronted with the unoptimistic situation of global warming, nature conservation based on existing PAs was no longer optimal. It was critical to construct a connected and resilient conservation network relying on both important biodiversity areas and low human footprint patches.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
小李发布了新的文献求助10
6秒前
一秒的剧情完成签到,获得积分10
6秒前
Clover04应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
7秒前
when完成签到,获得积分20
7秒前
华仔应助科研通管家采纳,获得10
7秒前
iNk应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
7秒前
李健应助科研通管家采纳,获得10
8秒前
大模型应助科研通管家采纳,获得10
8秒前
传奇3应助科研通管家采纳,获得10
8秒前
《子非鱼》完成签到,获得积分10
8秒前
鲁滨逊完成签到 ,获得积分10
8秒前
Zero完成签到,获得积分10
10秒前
科研通AI2S应助木子川采纳,获得30
10秒前
Gavin啥也不会完成签到,获得积分10
12秒前
when发布了新的文献求助10
12秒前
14秒前
Lucas应助prayme4采纳,获得10
15秒前
阿元发布了新的文献求助10
20秒前
稳重乌龟完成签到,获得积分10
22秒前
25秒前
xinxin完成签到 ,获得积分10
28秒前
30秒前
Orange应助快乐自行车采纳,获得30
31秒前
kysl完成签到,获得积分10
32秒前
詹卓林完成签到,获得积分10
35秒前
wx完成签到,获得积分10
37秒前
伊丽莎白完成签到,获得积分10
38秒前
内向翰应助芝士香猪采纳,获得10
40秒前
斯文败类应助詹卓林采纳,获得10
41秒前
zhangnan完成签到,获得积分10
42秒前
46秒前
江知之完成签到 ,获得积分0
47秒前
pragmatic完成签到,获得积分10
47秒前
47秒前
Lucas应助酷酷的芙采纳,获得10
48秒前
XY完成签到 ,获得积分10
51秒前
昏睡的醉山完成签到 ,获得积分10
51秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Handbook of Qualitative Cross-Cultural Research Methods 600
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3139737
求助须知:如何正确求助?哪些是违规求助? 2790662
关于积分的说明 7796051
捐赠科研通 2447104
什么是DOI,文献DOI怎么找? 1301563
科研通“疑难数据库(出版商)”最低求助积分说明 626300
版权声明 601176