Integrating Top-Down and Bottom-Up Approaches Improves Practicality and Efficiency of Large-Scale Ecological Restoration Planning: Insights from a Social-Ecological System-Reference-Cited by-同舟云学术

Integrating Top-Down and Bottom-Up Approaches Improves Practicality and Efficiency of Large-Scale Ecological Restoration Planning: Insights from a Social-Ecological System

Published:2022-09 Issue: Volume: Page:
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Ding Zhaowei,Zheng Hua,Wang Jun,O'Connor Patrick,Li Cong,Chen Xiaodong,Li Ruonan,Ouyang Zhiyun

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference55 articles.

1. Conserving biodiversity efficiently: what to do, where, and when;Wilson;PLoS Biol,2007

2. From planning to implementation: top-down and bottom-up approaches for collaborative watershed management;Koontz;Policy Stud J,2014

3. Integrating top-down and bottom-up adaptation planning to build adaptive capacity: a structured learning approach;Butler;Coast Manage,2015

4. The rise of restoration ecology;Roberts;Science,2009

5. A sustainability framework for assessing trade-offs in ecosystem services;Cavender-Bares;Ecol Soc,2015

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Social-ecological heterogeneity drove contrasting tree cover restoration in South China Karst;Communications Earth & Environment;2024-09-04

2. Extinction Chains Reveal Intermediate Phases Between the Safety and Collapse in Mutualistic Ecosystems;Engineering;2024-07

3. Revealing the Hidden Consequences of Increased Soil Moisture Storage in Greening Drylands;Remote Sensing;2024-05-20

4. Beyond land use planning and ecosystem services assessment with the conservation use potential framework: A study in the Upper Rio das Velhas basin, Brazil;Science of The Total Environment;2024-05

5. Detection of Typical Forest Degradation Patterns: Characteristics and Drivers of Forest Degradation in Northeast China;Remote Sensing;2024-04-14