气候变化领域集成服务门户(CCPortal): Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals

CCPortal

DOI	10.1016/j.envsci.2018.10.014
	Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals
	Sims N.C.; England J.R.; Newnham G.J.; Alexander S.; Green C.; Minelli S.; Held A.
发表日期	2019
ISSN	14629011
起始页码	349
结束页码	355
卷号	92
英文摘要	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. © 2018 Elsevier Ltd
英文关键词	2030 agenda for sustainable development; Carbon stocks; Earth observation; Land degradation neutrality; Land productivity; Land use change
scopus关键词	carbon; Article; cropland; forest; grassland; land use; practice guideline; priority journal; productivity; sustainable development; time series analysis; United Nations; wetland
来源期刊	Environmental Science and Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176223
作者单位	CSIRO Land and Water, Private Bag 10, Clayton South, VIC 3169, Australia; UNCCD, Platz der Vereinten Nationen 1, Bonn, 53113, Germany; GFOI, Viale delle Terme di Caracalla, Rome, 00153, Italy; CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia; CSIRO Astronomy and Space Science, GPO Box 1700, Canberra, ACT 2601, Australia
推荐引用方式 GB/T 7714	Sims N.C.,England J.R.,Newnham G.J.,et al. Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals[J],2019,92.
APA	Sims N.C..,England J.R..,Newnham G.J..,Alexander S..,Green C..,...&Held A..(2019).Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals.Environmental Science and Policy,92.
MLA	Sims N.C.,et al."Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals".Environmental Science and Policy 92(2019).