Protected area planning to conserve biodiversity in an uncertain future

生物多样性 生物多样性保护 地理 环境资源管理 环境规划 环境科学 生态学 生物
作者
Richard Schuster,Rachel T. Buxton,Jeffrey O. Hanson,Allison D. Binley,Jeremy Pittman,Vivitskaia Tulloch,Frank A. La Sorte,Patrick R. Roehrdanz,Peter H. Verburg,Amanda D. Rodewald,Scott Wilson,Hugh P. Possingham,Joseph Bennett
出处
期刊:Conservation Biology [Wiley]
卷期号:37 (3) 被引量:12
标识
DOI:10.1111/cobi.14048
摘要

Abstract Protected areas are a key instrument for conservation. Despite this, they are vulnerable to risks associated with weak governance, land‐use intensification, and climate change. We used a novel hierarchical optimization approach to identify priority areas for expanding the global protected area system that explicitly accounted for such risks while maximizing protection of all known terrestrial vertebrate species. To incorporate risk categories, we built on the minimum set problem, where the objective is to reach species distribution protection targets while accounting for 1 constraint, such as land cost or area. We expanded this approach to include multiple objectives accounting for risk in the problem formulation by treating each risk layer as a separate objective in the problem formulation. Reducing exposure to these risks required expanding the area of the global protected area system by 1.6% while still meeting conservation targets. Incorporating risks from weak governance drove the greatest changes in spatial priorities for protection, and incorporating risks from climate change required the largest increase (2.52%) in global protected area. Conserving wide‐ranging species required countries with relatively strong governance to protect more land when they bordered nations with comparatively weak governance. Our results underscore the need for cross‐jurisdictional coordination and demonstrate how risk can be efficiently incorporated into conservation planning. Planeación de las áreas protegidas para conservar la biodiversidad en un futuro incierto

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
SA完成签到,获得积分20
1秒前
Hello应助科研通管家采纳,获得10
3秒前
科研通AI2S应助科研通管家采纳,获得10
3秒前
Hello应助科研通管家采纳,获得10
3秒前
YamDaamCaa应助科研通管家采纳,获得30
4秒前
YamDaamCaa应助科研通管家采纳,获得30
4秒前
4秒前
许安发布了新的文献求助10
4秒前
4秒前
桐桐应助^_^采纳,获得10
5秒前
little完成签到,获得积分10
6秒前
涛哥完成签到,获得积分10
7秒前
华仔应助无私的芹采纳,获得30
7秒前
SciGPT应助无私的芹采纳,获得30
7秒前
CodeCraft应助无私的芹采纳,获得30
7秒前
汉堡包应助无私的芹采纳,获得10
7秒前
852应助无私的芹采纳,获得10
7秒前
8秒前
英俊的铭应助无私的芹采纳,获得30
8秒前
bkagyin应助无私的芹采纳,获得10
8秒前
情怀应助无私的芹采纳,获得30
8秒前
完美世界应助无私的芹采纳,获得10
8秒前
HJJHJH发布了新的文献求助30
8秒前
矮小的采柳关注了科研通微信公众号
8秒前
不会学术的羊完成签到,获得积分10
10秒前
1111完成签到,获得积分10
10秒前
抹茶小豆完成签到,获得积分10
10秒前
SA发布了新的文献求助10
10秒前
我不是霍建华完成签到,获得积分10
11秒前
粱三问发布了新的文献求助10
11秒前
华仔应助Tony12采纳,获得10
12秒前
13秒前
木木完成签到 ,获得积分10
14秒前
15秒前
刘标发布了新的文献求助10
15秒前
充电宝应助玉洁采纳,获得10
16秒前
听风者完成签到,获得积分10
17秒前
聪慧小霜应助无私的芹采纳,获得10
18秒前
酷波er应助无私的芹采纳,获得10
18秒前
Lucas应助无私的芹采纳,获得30
18秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969628
求助须知:如何正确求助?哪些是违规求助? 3514448
关于积分的说明 11174217
捐赠科研通 3249822
什么是DOI,文献DOI怎么找? 1795000
邀请新用户注册赠送积分活动 875537
科研通“疑难数据库(出版商)”最低求助积分说明 804856