DOI: 10.1016/j.ecolind.2020.106206
论文题名: Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration
作者: Venter Z.S. ; Scott S.L. ; Desmet P.G. ; Hoffman M.T.
刊名: Ecological Indicators
ISSN: 1470160X
出版年: 2020
卷: 113 语种: 英语
英文关键词: Bush encroachment
; Desertification
; Ecosystem accounts
; Net primary productivity
; Remote sensing
; Repeat photography
Scopus关键词: Advanced very high resolution radiometers (AVHRR)
; Climatology
; Ecosystems
; Land use
; Photography
; Remote sensing
; Restoration
; Bush encroachment
; Desertification
; Enhanced vegetation index
; Interactive exploration
; Interactive web applications
; Net primary productivity
; Repeat photographies
; Woody-plant encroachments
; Vegetation
; aerial photograph
; AVHRR
; desert
; desertification
; land degradation
; Landsat
; NDVI
; net primary production
; remote sensing
; restoration ecology
; satellite data
; satellite imagery
; savanna
; vegetation dynamics
; Albany [Eastern Cape]
; Eastern Cape
; South Africa
; Succulent Karoo
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 © 2020 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158160
Appears in Collections: 气候变化与战略
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作者单位: Terrestrial Ecology Section, Norwegian Institute for Nature Research - NINA, Oslo, 0349, Norway; ZSV Consulting, Unit 104, Sunstone, Ruby Estate, Marquise Drive, Burgundy Estate, South Africa; Plant Conservation Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa; Nelson Mandela University, Department of Zoology, PO Box 77000, Port Elizabeth, 6031, South Africa
Recommended Citation:
Venter Z.S.,Scott S.L.,Desmet P.G.,et al. Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration[J]. Ecological Indicators,2020-01-01,113