Planning for the future: identifying conservation priority areas for Iberian birds under climate change

自然2000 濒危物种 鸟类保护 气候变化 地理 保护区 生物多样性 景观生态学 环境资源管理 国家公园 栖息地 土地利用 土地利用、土地利用的变化和林业 农业 生态学 环境科学 生物 考古
作者
María Triviño,Heini Kujala,Miguel B. Araújo,Mar Cabeza
出处
期刊:Landscape Ecology [Springer Nature]
卷期号:33 (4): 659-673 被引量:31
标识
DOI:10.1007/s10980-018-0626-z
摘要

Species are expected to shift their distributions in response to global environmental changes and additional protected areas are needed to encompass the corresponding changes in the distributions of their habitats. Conservation policies are likely to become obsolete unless they integrate the potential impacts of climate and land-use change on biodiversity. We identify conservation priority areas for current and future projected distributions of Iberian bird species. We then investigate the extent to which global change informed priority areas are: (i) covered by existing protected area networks (national protected areas and Natura 2000); (ii) threatened by agricultural or urban land-use changes. We use outputs of species distributions models fitted with climatic data as inputs in spatial prioritization tools to identify conservation priority areas for 168 bird species. We use projections of land-use change to then discriminate between threatened and non-threatened priority areas. 19% of the priority areas for birds are covered by national protected areas and 23% are covered by Natura 2000 sites. The spatial mismatch between protected area networks and priority areas for birds is projected to increase with climate change. But there are opportunities to improve the protection of birds under climate change, as half of the priority areas are currently neither protected nor in conflict with urban or agricultural land-uses. We identify critical areas for bird conservation both under current and climate change conditions, and propose that they could guide the establishment of new conservation areas across the Iberian Peninsula complementing existing protected areas.
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
FashionBoy应助娜行采纳,获得10
1秒前
1秒前
传奇3应助后知后觉采纳,获得10
2秒前
2秒前
2秒前
科研通AI2S应助Chem is try采纳,获得10
2秒前
3秒前
a方舟发布了新的文献求助10
3秒前
寒冷书竹发布了新的文献求助10
3秒前
3秒前
hhh发布了新的文献求助10
3秒前
顾矜应助富婆嘉嘉子采纳,获得10
3秒前
3秒前
3秒前
4秒前
江风海韵完成签到,获得积分10
4秒前
火星上的从雪完成签到,获得积分10
4秒前
在水一方应助kai采纳,获得10
4秒前
打打应助留胡子的青柏采纳,获得10
5秒前
5秒前
zhanghw发布了新的文献求助10
5秒前
Frank完成签到,获得积分10
5秒前
桐桐应助小喵采纳,获得10
5秒前
香蕉觅云应助执笔客采纳,获得10
5秒前
light完成签到 ,获得积分10
5秒前
你仔细听完成签到,获得积分10
6秒前
6秒前
Sailzyf完成签到,获得积分10
6秒前
抓恐龙发布了新的文献求助10
6秒前
6秒前
汉堡包应助言小采纳,获得10
7秒前
Chen发布了新的文献求助10
7秒前
lql233完成签到,获得积分20
7秒前
雪白问兰完成签到 ,获得积分10
7秒前
7秒前
魅力蜗牛完成签到,获得积分10
7秒前
7秒前
upup小李完成签到 ,获得积分10
8秒前
手帕很忙完成签到,获得积分10
8秒前
害羞含雁发布了新的文献求助10
8秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527304
求助须知:如何正确求助?哪些是违规求助? 3107454
关于积分的说明 9285518
捐赠科研通 2805269
什么是DOI,文献DOI怎么找? 1539827
邀请新用户注册赠送积分活动 716708
科研通“疑难数据库(出版商)”最低求助积分说明 709672