Suppr超能文献

全球卫星监测气候引起的植被干扰。

Global satellite monitoring of climate-induced vegetation disturbances.

机构信息

Los Alamos National Lab, Earth and Environmental Sciences Division, Los Alamos, NM 87545, USA.

Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T1Z4, Canada.

出版信息

Trends Plant Sci. 2015 Feb;20(2):114-23. doi: 10.1016/j.tplants.2014.10.008. Epub 2014 Dec 11.

Abstract

Terrestrial disturbances are accelerating globally, but their full impact is not quantified because we lack an adequate monitoring system. Remote sensing offers a means to quantify the frequency and extent of disturbances globally. Here, we review the current application of remote sensing to this problem and offer a framework for more systematic analysis in the future. We recommend that any proposed monitoring system should not only detect disturbances, but also be able to: identify the proximate cause(s); integrate a range of spatial scales; and, ideally, incorporate process models to explain the observed patterns and predicted trends in the future. Significant remaining challenges are tied to the ecology of disturbances. To meet these challenges, more effort is required to incorporate ecological principles and understanding into the assessments of disturbance worldwide.

摘要

陆地干扰正在全球范围内加速,但由于我们缺乏足够的监测系统,其全部影响尚未量化。遥感为全球范围内量化干扰的频率和范围提供了一种手段。在这里,我们回顾了遥感在这一问题上的当前应用,并为未来更系统的分析提供了一个框架。我们建议任何拟议的监测系统不仅要能够检测干扰,还要能够:确定直接原因;整合一系列空间尺度;并在理想情况下,纳入过程模型来解释观测到的模式和未来的预测趋势。与干扰的生态学相关的重大剩余挑战仍未得到解决。为了应对这些挑战,需要更加努力地将生态原理和理解纳入全球干扰评估中。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验