干旱区生态环境知识资源中心(Arid): A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia

Arid

DOI	10.1016/j.ecolind.2023.110529
	A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia
	Khazieva, Elizaveta; Malek, Ziga; Verburg, Peter H.
通讯作者	Khazieva, E
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2023
卷号	154
英文摘要	Central Asia hosts one of the largest continuous grassland areas on our planet, that is of vital importance for food security, biodiversity and carbon sequestration. However, this region is also subjected to some of the most intense land degradation processes, related to large scale land use change and climate change.To combat land degradation and pursue sustainable land management the concept of land degradation neutrality (LDN) has been proposed. LDN assessments are recommended to be based on global data in regions that lack sufficient regional data such as Central Asia. However, it remains unclear how the selection of datasets influences the estimated extent of land degradation. We followed the LDN framework and first calculated changes to three LDN indicators: land productivity, land cover, and Soil Organic Carbon (SOC). We then evaluated the impact of using different regional and global land cover data on the extent of land degradation in the region. Finally, we calculated a regionally specific integrated indicator on soil quality that we used to assess the like-for-like principle which enables counterbalancing losses and gains. Our results indicate that particularly the selection of land cover data has a significant impact on the overall assessment of degradation state. The extent of land between 2000 and 2019 varies considerably depending on the data and ranges between 15 and 34 % of the whole Central Asian region.Our findings reveal that the area of degraded land on high quality soils is twice as high as the area of high quality soils where the land condition has improved (12 % versus 6 %). In areas with low soil quality, 13 % was subject to degradation, and 10 % improved.Whilst the degradation extent varies according to the selected land cover datasets, our results demonstrates that Central Asia is undergoing land degradation affecting high quality soils. Sensitivity analysis of multiple datasets can reduce the risk of misjudgement in degradation extent assessments, especially in regions with mosaic ecosystems, such as grasslands.
英文关键词	Land degradation neutrality Central Asia Land cover Soil quality Grassland degradation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001040368600001
WOS关键词	CLIMATE-CHANGE ; VEGETATION DYNAMICS ; COVER CHANGE ; CHALLENGES ; PRODUCTIVITY ; PATTERNS ; IMPACTS ; CARBON ; DESERTIFICATION ; INFORMATION
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395961
推荐引用方式 GB/T 7714	Khazieva, Elizaveta,Malek, Ziga,Verburg, Peter H.. A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia[J],2023,154.
APA	Khazieva, Elizaveta,Malek, Ziga,&Verburg, Peter H..(2023).A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia.ECOLOGICAL INDICATORS,154.
MLA	Khazieva, Elizaveta,et al."A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia".ECOLOGICAL INDICATORS 154(2023).