Change language
Sidebar content Main content
Actions

Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals

Abstract

In recent decades there have been numerous global and regional targets and initiatives to halt and reverse land degradation. The land degradation neutrality (LDN) target, embedded in the United Nations Sustainable Development Goals (SDGs), provides a framework for countries to avoid or reduce degradation through sustainable land management, coupled with efforts to restore or rehabilitate degraded land.

Here we present the key recommendations from the Good Practice Guidance (GPG) for monitoring and reporting on SDG indicator 15.3.1 (“proportion of land that is degraded over total land area”) and discuss how it could be used in the context of implementing the LDN target.

SDG indicator 15.3.1 is assessed in terms of change in three sub-indicators: land cover, land productivity and carbon stocks. Each of these sub-indicators represents a unique perspective on the manifestation and assessment of land degradation.

Global time-series datasets are a valuable recent development for monitoring landscape-scale changes, but variations in land conditions between countries, and differences in the sensitivities of these time-series datasets, present challenges in the selection of the most appropriate methods and datasets. Methods to combine the three sub-indicators for SDG indicator 15.3.1 need to account for variations in conditions over space and time, and potential differences in the representation of degradation among the sub-indicators and between countries.

Without being prescriptive about the sources of data, the GPG aims to ensure technical soundness and consistency in estimation methods as well as comparability of results across countries and over time. The information provided by the three sub-indicators will assist countries to better understand their distribution and types of land degradation, and support countries to achieve their LDN targets.

This paper presents some of the key methodological details of the GPG and describes how they can be used in the context of LDN implementation.



Elsevier created a Share Link – a personalized URL providing 50 days' free access to the article. Anyone clicking on this link before February 16, 2019 will be taken directly to the final version of your article on ScienceDirect, which they are welcome to read or download. No sign up, registration or fees are required. Elsevier encourages you to use this Share Link to download a copy of the article for your own archive. The URL is also a quick and easy way to share your work with colleagues, co-authors and friends. And you are welcome to add the Share Link to your homepage or social media profiles, such as Facebook and Twitter.

Copy numberShelfmarkLoan categorySiteLoan status
LAN/GEN/319 ALAN/GEN/319 Aarticlemainavailable
AIS uses strictly necessary cookies to improve the user experience.
This AIS also uses analytical cookies.