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DOI	10.1016/j.ecolind.2020.106206
	Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration
	Venter, Zander S.1,2; Scott, Samantha Luise 3; Desmet, Philip G.4; Hoffman, Michael Timm 3
通讯作者	Venter, Zander S.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	113
英文摘要	Monitoring vegetation change is important because the nature, extent and rate of change in key measures, such as plant biomass, cover and species composition, provides critical insight into broader environmental and land use drivers and leads to the development of appropriate policy. We used Landsat data between 1984 and 2018 to produce a map of Enhanced Vegetation Index (EVI) change over South Africa at 30 m resolution and an interactive web application to make the analysis both globally applicable and locally meaningful. We found an increase in EVI of 0.37 +/- 0.59% yr(-1) (mean +/- standard deviation), confirming global vegetation greening trends observed with lower-resolution satellites. Mesic, productive biomes including the Albany Thicket and Savanna, exhibited the largest greening trends while browning trends were dominant in more arid biomes, such as the Succulent Karoo and Desert. Although overall EVI trends correspond to vegetation index trends derived from the Advanced Very-High-Resolution Radiometer (8 km resolution), the relative scarcity of Landsat data availability during the 1980 s is a potential source of error. Using repeat very-high-resolution satellite (ca. 3 m resolution) imagery and ground-based photography as reference, we found good correspondence with EVI trends, revealing patterns of degradation (e.g. woody plant encroachment, desertification), and restoration (e.g. increased rangeland productivity, alien clearing) over selected landscapes. The utility of the EVI trend layer to government and industry for monitoring ecosystem changes will be enhanced by the ability to distinguish climatic from anthropogenic drivers of change. This may be partially achieved though interactive exploration of the EVI trends using the application found here: http://evitrend.zsv.co.za
英文关键词	Bush encroachment Desertification Ecosystem accounts Net primary productivity Remote sensing Repeat photography
类型	Article
语种	英语
国家	Norway ; South Africa
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000523335900013
WOS关键词	WOODY-PLANT ENCROACHMENT ; TIME-SERIES ; NDVI ; GRASSLANDS ; MODIS ; DATASET ; COVER ; SAHEL ; TECHNOLOGIES ; ECOSYSTEMS
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/2XILL650/318753
作者单位	1.Norwegian Inst Nat Res NINA, Terr Ecol Sect, N-0349 Oslo, Norway; 2.ZSV Consulting, Unit 104,Ruby Estate,Marquise Dr,Burgundy Estate, Cape Town, South Africa; 3.Univ Cape Town, Dept Biol Sci, Plant Conservat Unit, Private Bag X3, ZA-7701 Rondebosch, South Africa; 4.Nelson Mandela Univ, Dept Zool, POB 77000, ZA-6031 Port Elizabeth, South Africa
推荐引用方式 GB/T 7714	Venter, Zander S.,Scott, Samantha Luise,Desmet, Philip G.,et al. Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration[J],2020,113.
APA	Venter, Zander S.,Scott, Samantha Luise,Desmet, Philip G.,&Hoffman, Michael Timm.(2020).Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration.ECOLOGICAL INDICATORS,113.
MLA	Venter, Zander S.,et al."Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration".ECOLOGICAL INDICATORS 113(2020).