干旱区生态环境知识资源中心(Arid): Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges

Arid

DOI	10.1080/01431161.2020.1763509
	Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges
	Munawar, Sana; Udelhoven, Thomas
通讯作者	Munawar, S
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2020
卷号	41 期号:20 页码:7735-7756
英文摘要	In this study, we analyzed time series of a vegetation index to identify land-cover/land-use changes in HHK mountain regions administered by Pakistan. Monthly MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) series were decomposed to retrieve changes in long-term mean, peaking magnitude and seasonal characteristics. Resulting linear trend patterns were used as a baseline to map syndromes over the study area. To address non-linear changes, inter-annual variation (IAV) and short-term variation (STV) was also computed. Distributed lag-models (DLM) were used to determine significant correlation between GIMMS (Global Inventory Monitoring and Mapping) NDVI (Normalized Difference Vegetation Index) and rainfall as an additional syndrome to highlight climate sensitive regions. Our results indicate that land use is mainly controlled by two factors: elevation and river network. Based on that, there is a particular spatial distribution of agricultural intensification because of deforestation, forest degradation from unsustainable use, forest regeneration and human settlements near rivers. Most of the trends observed showed a persistent greening pattern compared to small groups of pixels with negative trends. Outcomes of DLM do not provide plausible links between rain and forest biomass. It does however suggest a positive response of crops to rainfall events in the arid zones of the study area. High short-term fluctuation in EVI residuals occurred in areas that experienced considerable land modification and where land-use patterns are not stable. IAV was high in regions around rivers and water works and its impact on forest dynamics could not be substantiated. Land change patterns described here can be used by decision makers for forest restoration programmes.
类型	Article
语种	英语
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000555582000001
WOS关键词	SENSING TIME-SERIES ; CARBON EMISSIONS ; COVER CHANGE ; TRENDS ; PAKISTAN ; DECLINE ; AREAS ; TOOL
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325391
作者单位	[Munawar, Sana; Udelhoven, Thomas] Univ Trier, Umweltfernerkundung & Geoinformat, D-54286 Trier, Germany
推荐引用方式 GB/T 7714	Munawar, Sana,Udelhoven, Thomas. Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges[J],2020,41(20):7735-7756.
APA	Munawar, Sana,&Udelhoven, Thomas.(2020).Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(20),7735-7756.
MLA	Munawar, Sana,et al."Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.20(2020):7735-7756.