Identification of spatial conservation and restoration priorities for ecological networks planning in a highly urbanized region: A case study in Beijing-Tianjin-Hebei, China

北京 中国 地理 生态网络 环境规划 恢复生态学 环境资源管理 扰动(地质) 景观连通性 空间规划 自然性 生物多样性 可持续发展 生态学 环境科学 生态系统 人口 生物 考古 生物扩散 古生物学 物理 人口学 量子力学 社会学
作者
Wei Hou,Liang Zhai,Ulrich Walz
出处
期刊:Ecological Engineering [Elsevier]
卷期号:187: 106859-106859 被引量:17
标识
DOI:10.1016/j.ecoleng.2022.106859
摘要

Building ecological networks is not only critical for biodiversity conservation, but also for sustainable urban development. It is of great significance to integrate a connected network of protected areas into spatial planning as human-dominated land use changes are mostly a non-reversible process. Taking the Beijing-Tianjin-Hebei (BTH) region as an example, the Least Cost Path (LCP) model is adopted for ecological networks simulation at regional scale based on a resistance map composed by different factors (i.e., naturalness of land covers, the riparian corridor, and disturbance of roads) derived from very high resolution spatial data. Then, all least cost paths are classified as green or blue paths, and evaluated according to their contribution to the whole network connectivity. Two types of prioritized locations are identified for restoration and conservation of the ecological networks: breaking points and stepping stones. The results show that there are a total of 246 potential ecological corridors between the protected areas, and 6 breaking points that need to be restored and 12 intersection points of LCPs (particularly with the blue paths) that are considered as stepping stones enhancing networks connectivity. Further spatial overlay of the ecological networks and Major Function Oriented Zone (MFOZ) plan shows that the current regional development strategy needs to be adapted to protect the integrity of the ecological networks from possible disturbance of human activities. On-site verification has proved that our results can provide reliable instructions for spatial conservation and restoration of ecological networks and contribute to the optimization of spatial planning in practice.
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
刚刚
温婉的惜文完成签到 ,获得积分10
刚刚
孙大圣应助生动的问旋采纳,获得10
2秒前
陈乐宁2024发布了新的文献求助10
2秒前
3秒前
Cornelius发布了新的文献求助30
3秒前
3秒前
3秒前
万能图书馆应助本之上课采纳,获得10
3秒前
眼睛大的初翠完成签到,获得积分10
3秒前
柚子发布了新的文献求助10
4秒前
彦希完成签到 ,获得积分10
4秒前
5秒前
6秒前
455完成签到,获得积分20
6秒前
6秒前
6秒前
7秒前
555646446发布了新的文献求助10
7秒前
冷酷的雅柔完成签到,获得积分20
7秒前
7秒前
嘻嘻发布了新的文献求助10
8秒前
上官若男应助凉城予梦采纳,获得10
8秒前
8秒前
lai完成签到,获得积分20
8秒前
zdu完成签到,获得积分10
8秒前
英俊的铭应助川川采纳,获得10
8秒前
Yan完成签到 ,获得积分10
8秒前
万能图书馆应助Lynn采纳,获得10
9秒前
高贵的晓筠完成签到,获得积分10
9秒前
大咖完成签到 ,获得积分10
10秒前
yang发布了新的文献求助10
10秒前
YY发布了新的文献求助10
10秒前
10秒前
无尽夏发布了新的文献求助10
11秒前
Lucas应助踏实的沛容采纳,获得10
12秒前
垚祎完成签到 ,获得积分10
12秒前
漂亮幻莲发布了新的文献求助10
12秒前
123完成签到 ,获得积分10
12秒前
hxpxp发布了新的文献求助10
13秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
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 3135616
求助须知:如何正确求助?哪些是违规求助? 2786482
关于积分的说明 7777675
捐赠科研通 2442483
什么是DOI,文献DOI怎么找? 1298583
科研通“疑难数据库(出版商)”最低求助积分说明 625193
版权声明 600847