Vegetation dynamics in African drylands: an assessment based on the Vegetation Degradation Index in an agro-pastoral region of Botswana

被引:0
|
作者
Felicia O. Akinyemi
Margaret O. Kgomo
机构
[1] Botswana International University of Science and Technology,Earth and Environmental Science Department
[2] University of Bonn,Centre for Remote Sensing of Land Surfaces
[3] Department of Wildlife and National Parks,undefined
来源
关键词
Land degradation; Vegetation Degradation Index (VDI); Normalized Difference Vegetation Index (NDVI); Shannon Diversity Index; Regression analysis; Remote sensing;
D O I
暂无
中图分类号
学科分类号
摘要
Changes in vegetation conditions are induced both by climatic and human factors. Knowledge about how changes in vegetation conditions relate to its degradation is often lacking, although needed to sustainably manage rangeland resources in drylands. Contributions made to develop land management options require assessing vegetation dynamics and degradation in Palapye, an agro-pastoral region of high economic and biodiversity importance in eastern Botswana. The Vegetation Degradation Index (VDI) was applied to 18-year (1986–2016) time series of annual Normalized Difference Vegetation Index (ANDVI) images to establish vegetation degradation levels, i.e. relatively undegraded, low degradation, medium degradation, and high degradation. Plant species metrics and biophysical variables were then examined at nine sites with the aim of explaining variations in the vegetation degradation levels. Approximately 95% of the study area experienced low degradation and 11% had significant negative trends in ANDVI. Species richness, diversity, and rainfall explained 49% of the variance in degradation levels. Species diversity and richness were highest in Moeng (a relatively undegraded site), whereas they were lowest in Lesenopole (a low degradation site). A probable reason being that Colophospermum mopane contributed 87% of individual trees and shrubs at Lesenopole. Species diversity and richness were also negatively associated with VDI. The non-occurrence of some species such as Sclerocarya birrea and Lonchocarpus capassa on highly degraded sites suggests a link between species composition and the level of degradation. This study combined the use of theremote sensing-based VDI with field-based plant species data for validating vegetation degradation levels in a dryland context.
引用
收藏
页码:2027 / 2039
页数:12
相关论文
共 50 条
  • [41] Applicability of MODIS land cover and Enhanced Vegetation Index (EVI) for the assessment of spatial and temporal changes in strength of vegetation in tropical rainforest region of Borneo
    Vijith, H.
    Dodge-Wan, D.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2020, 18
  • [42] An integrated approach for the identification and prioritization of areas based on their livelihood vulnerability index: a case study of agro-pastoral community from Western Indian Himalaya
    Joshi, Naveen Chandra
    Rawat, G. S.
    MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2021, 26 (06)
  • [43] Semisupervised GDTW kernel-based fuzzy c-means algorithm for mapping vegetation dynamics in mining region using normalized difference vegetation index time series
    Jia, Duo
    Wang, Cangjiao
    Lei, Shaogang
    JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (01):
  • [44] An integrated approach for the identification and prioritization of areas based on their livelihood vulnerability index: a case study of agro-pastoral community from Western Indian Himalaya
    Naveen Chandra Joshi
    G. S. Rawat
    Mitigation and Adaptation Strategies for Global Change, 2021, 26
  • [45] A satellite-based green index as a proxy for vegetation cover quality in a Mediterranean region
    Bajocco, Sofia
    De Angelis, Antonella
    Salvati, Luca
    ECOLOGICAL INDICATORS, 2012, 23 : 578 - 587
  • [46] RESTREND-based assessment of factors affecting vegetation dynamics on the Mongolian Plateau
    Zhao, Chunli
    Yan, Yan
    Ma, Wenyong
    Shang, Xu
    Chen, Jianguo
    Rong, Yuejing
    Xie, Tian
    Quan, Yuan
    ECOLOGICAL MODELLING, 2021, 440
  • [47] Influencing Factors of Soil Moisture Content Inversion in Kiwifruit Root Region Based on Vegetation Index
    Zhang J.
    Deng J.
    Ni G.
    Niu Z.
    Pan S.
    Han W.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (12): : 223 - 230
  • [48] DROUGHT EVALUATION WITH NDVI-BASED STANDARDIZED VEGETATION INDEX IN LOWER NORTHEASTERN REGION OF THAILAND
    Rotjanakusol, Tanutdech
    Laosuwan, Teerawong
    GEOGRAPHIA TECHNICA, 2019, 14 (01): : 118 - 130
  • [49] Spatiotemporal drought assessment using vegetation health index and standardized precipitation index over Sudano-Sahelian region of Nigeria
    Ekundayo, O. Y.
    Okogbue, E. C.
    Akinluyi, F. O.
    Kalumba, A. M.
    Orimoloye, I. R.
    AFRICAN GEOGRAPHICAL REVIEW, 2021, 40 (04) : 412 - 424
  • [50] Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China
    Jiang, Rengui
    Liang, Jichao
    Zhao, Yong
    Wang, Hao
    Xie, Jiancang
    Lu, Xixi
    Li, Fawen
    SCIENTIFIC REPORTS, 2021, 11 (01)