4.7 Article

Synergizing global tools to monitor progress towards land degradation neutrality: Trends.Earth and the World Overview of Conservation Approaches and Technologies sustainable land management database

期刊

ENVIRONMENTAL SCIENCE & POLICY
卷 93, 期 -, 页码 34-42

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsci.2018.12.019

关键词

NDVI; Land condition; Primary productivity; Land productivity; Sustainable development goals; UNCCD

资金

  1. Global Environment Facility under GEF-6 Medium-size Project Enabling the use of global data sources to assess and monitor land degradation at multiple scales [9163]

向作者/读者索取更多资源

As part of the Sustainable Development Goals, countries are striving to achieve by 2030 a land degradation neutral world. Land degradation neutrality (LDN) is the state whereby the amount and quality of land resources remains stable or increases within specified temporal and spatial scales. Achieving this will require the uptake of sustainable land management (SLM) practices to increase the sustainable provision of ecosystem goods and services the human population will require. It will also require the development of systematic, robust, and validated methods for tracking progress at project, subnational and national scales. However, to date, no systematic comparison between the SLM practices and the indicators proposed for monitoring LDN has been performed. In this article, we used the United Nations Convention to Combat Desertification primary recommended global sustainable land management database of World Overview of Conservation Approaches and Technologies (WOCAT), and an innovative tool designed to assess and monitor land condition via changes in land productivity, Trends.Earth, to evaluate the agreement between self-reported sustainable land management technologies and indicators derived from satellite-based earth observations. We found that a combination of two primary productivity indicators derived from annual integrals of normalized difference vegetation indices (NDVI), trajectory and state, were able to identify increases in primary productivity in the locations where the SLM practices are implemented in comparison to control sites where SLM practices are not known to have occurred. Moreover, different SLM practices showed unique responses in terms of proportional area which experienced increase, decrease, or remained stable terms of primary productivity. We also found that the time since establishment of the SLM technology was critical for identifying improvements in the SLM sites, as only technologies with more than 10 years since implementation show statistically significant improvements. Our results show that satellite-derived land productivity indicators are successful at detecting the impacts of SLM practices on primary productivity, positioning them as essential elements of the monitoring and assessment tools needed to track land condition to assure the achievement of a land degradation neutral world.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据