Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, New South Wales, Australia; School of Biological Sciences, University of Queensland, St. Lucia, Queensland 4072, Australia.
Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, New South Wales, Australia; New South Wales Office of Environment and Heritage, Hurstville, New South Wales, Australia.
Sci Total Environ. 2018 Apr 1;619-620:249-257. doi: 10.1016/j.scitotenv.2017.11.034. Epub 2017 Nov 14.
The current set of global conservation targets requires methods for monitoring the changing status of ecosystems. Protocols for ecosystem risk assessment are uniquely suited to this task, providing objective syntheses of a wide range of data to estimate the likelihood of ecosystem collapse. Satellite remote sensing can deliver ecologically relevant, long-term datasets suitable for analysing changes in ecosystem area, structure and function at temporal and spatial scales relevant to risk assessment protocols. However, there is considerable uncertainty about how to select and effectively utilise remotely sensed variables for risk assessment. Here, we review the use of satellite remote sensing for assessing spatial and functional changes of ecosystems, with the aim of providing guidance on the use of these data in ecosystem risk assessment. We suggest that decisions on the use of satellite remote sensing should be made a priori and deductively with the assistance of conceptual ecosystem models that identify the primary indicators representing the dynamics of a focal ecosystem.
当前的全球保护目标集需要监测生态系统变化状况的方法。生态系统风险评估议定书非常适合这项任务,它可以对广泛的数据进行客观综合,以估计生态系统崩溃的可能性。卫星遥感可以提供具有生态相关性的长期数据集,适合在与风险评估议定书相关的时间和空间尺度上分析生态系统面积、结构和功能的变化。然而,如何选择和有效利用遥感变量进行风险评估还存在很大的不确定性。在这里,我们回顾了卫星遥感在评估生态系统空间和功能变化方面的应用,旨在为这些数据在生态系统风险评估中的应用提供指导。我们建议,应该在事先和演绎的基础上,借助概念性生态系统模型来做出关于卫星遥感使用的决策,这些模型确定了代表焦点生态系统动态的主要指标。