Key Laboratory for City Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2022 Feb 10;807(Pt 2):150527. doi: 10.1016/j.scitotenv.2021.150527. Epub 2021 Sep 29.
Ecological restoration programs have significantly contributed to the improvement of ecosystem services in the past two decades. However, due to climate change and rapid land use change, planning and management of ecosystem services restoration programs are still challenging, particularly how to identify and quantify the specific contribution of natural and human drivers of ecosystem services dynamics, how to assess and simulate the integrated impacts of climate-land use change interactions on changes in ecosystem services, insufficient simulation of mid- and long-term impacts of different ecological restoration programs, and lack of identification of ecological restoration thresholds. To overcome the challenges, we propose a new framework for restoring ecosystem services programs as potential solutions to the challenges. The framework includes attribution analysis of changes in ecosystem services, assessment and projections of ecosystem services dynamics under the integrated impacts of climate-land use change interactions, simulation of mid- and long-term effects of ecological programs and identification of ecological restoration threshold, which forms the logic chain of the framework, i.e. theory foundation-techniques support-application cases-policy implications. We finally recommend four related research directions and steps forward to overcome the challenges, including (1) Step 1: establish attribution analysis method of ecosystem services dynamics based on ecological thermodynamics and partial differential equation; (2) Step 2: Assess and simulate the impacts of coupled climate-land use change interactions on ecosystem services dynamics; (3) Step 3: Simulate the mid- and long-term impacts of different ecological restoration programs; and (4) Step 4: Identify ecological restoration thresholds. This study could provide insights for improving management of ecosystem services restoration programs in the context of rapid land use change and continuous climate change.
生态恢复计划在过去的二十年中极大地促进了生态系统服务的改善。然而,由于气候变化和快速的土地利用变化,生态系统服务恢复计划的规划和管理仍然具有挑战性,特别是如何识别和量化自然和人为驱动因素对生态系统服务动态的具体贡献,如何评估和模拟气候-土地利用变化相互作用对生态系统服务变化的综合影响,不同生态恢复计划的中-长期影响模拟不足,以及缺乏对生态恢复阈值的识别。为了克服这些挑战,我们提出了一个新的生态系统服务恢复计划框架,作为应对这些挑战的潜在解决方案。该框架包括生态系统服务变化的归因分析、气候-土地利用变化相互作用综合影响下生态系统服务动态的评估和预测、生态计划中-长期效应的模拟以及生态恢复阈值的识别,这构成了框架的逻辑链,即理论基础-技术支持-应用案例-政策意义。我们最后推荐了四个相关的研究方向和克服挑战的步骤,包括(1) 步骤 1:建立基于生态热力学和偏微分方程的生态系统服务动态归因分析方法;(2) 步骤 2:评估和模拟耦合气候-土地利用变化相互作用对生态系统服务动态的影响;(3) 步骤 3:模拟不同生态恢复计划的中-长期影响;以及(4) 步骤 4:识别生态恢复阈值。本研究可以为在快速土地利用变化和持续气候变化背景下改善生态系统服务恢复计划的管理提供参考。