Literature DB >> 17494399

Relevance of rangeland degradation in semiarid northeastern South Africa to the nonequilibrium theory.

Konrad J Wessels1, A Stephen D Prince, Mark Carroll, Johan Malherbe.   

Abstract

According to the nonequilibrium theory, livestock grazing has a limited effect on long-term vegetation productivity of semiarid rangelands, which is largely determined by rainfall. The communal lands in northeastern South Africa contain extensive degraded areas which have been mapped by the National Land Cover (NLC) program. Much evidence suggests that long-term heavy grazing is the cause of this degradation. In order to test for the prevalence of nonequilibrium dynamics, we determined the relative effects of rainfall- and grazing-induced degradation on vegetation productivity. The vegetation production in the NLC degraded areas was estimated using growth-season sums of the Normalized Difference Vegetation Index (sigmaNDVI), calculated using data from both the Advanced Very High Resolution Radiometer (AVHRR) (1985-2003) and Moderate-resolution Imaging Spectroradiometer (MODIS) (2000-2005). On average, rainfall and degradation accounted for 38% and 20% of the AVHRR sigmaNDVI variance and 50% and 33% of the MODIS sigmaNDVI variance, respectively. Thus, degradation had a significant influence on long-term vegetation productivity, and therefore the rangelands did not behave according to the nonequilibrium model, in which grazing is predicted to have a negligible long-term impact.

Mesh:

Year:  2007        PMID: 17494399     DOI: 10.1890/06-1109

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  3 in total

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Authors:  K Z Mganga; N K R Musimba; D M Nyariki
Journal:  Environ Manage       Date:  2015-07-16       Impact factor: 3.266

2.  Changes in Landscape Greenness and Climatic Factors over 25 Years (1989-2013) in the USA.

Authors:  Maliha S Nash; James Wickham; Jay Christensen; Timothy Wade
Journal:  Remote Sens (Basel)       Date:  2017       Impact factor: 4.848

3.  Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation.

Authors:  Hao Chen; Xiangnan Liu; Chao Ding; Fang Huang
Journal:  Sensors (Basel)       Date:  2018-10-29       Impact factor: 3.576

  3 in total

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