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Spatiotemporal transition of institutional and socioeconomic impacts on vegetation productivity in Central Asia over last three decades.
Zhou, Yu; Zhang, Li; Xiao, Jingfeng; Williams, Christopher A; Vitkovskaya, Irina; Bao, Anming.
Afiliação
  • Zhou Y; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; Graduate School of Geography, Clark University, Worcester, MA 01610, USA.
  • Zhang L; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; Key Laboratory of Earth Observation Hainan Province, Hainan 572029, China. Electronic address: zhangli@radi.ac.cn.
  • Xiao J; Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA.
  • Williams CA; Graduate School of Geography, Clark University, Worcester, MA 01610, USA.
  • Vitkovskaya I; National Centre of Space Research and Technology of the Republic of Kazakhstan, Almaty 050010, Kazakhstan.
  • Bao A; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Sci Total Environ ; 658: 922-935, 2019 Mar 25.
Article em En | MEDLINE | ID: mdl-30583187
ABSTRACT
Central Asia experienced substantial institutional and socioeconomic changes during the last few decades, especially the Soviet Union collapse in 1991. It remains unclear how these profound changes impacted vegetation productivity across space and time. This study used the satellite-derived normalized difference vegetation index (NDVI) and gridded climate data to examine the institutional and socioeconomic impacts on vegetation productivity in Central Asia in 1982-2015. The improved Residual Trend (ResTREND) algorithm was used to calculate NDVI residuals (NDVIres) that reflect the impacts of human factors by excluding the influences of multiple climate factors. Our results showed that 45.7% of the vegetated areas experienced significant transitions (p < 0.05) in NDVIres with turning point (TP), of which 83.8% occurred after 1992 except for the Aral Sea Basin. During the pre-TP period, positive NDVIres (i.e., positive impact) and increasing trends (i.e., positive tendency) were predominant, accounting for 31.6% and 16.5% of the vegetated land, respectively. This was attribute to the expanded cultivation due to Virgin Lands Campaign in North Kazakhstan region and the Amu Darya and Syr Darya Basins. However, the institutional and socioeconomic changes largely suppressed vegetation productivity. In the post-TP period, only 7.0% of the vegetated lands experienced an increasing trend in NDVIres, while NDVIres decline accounted for 20.1% of the vegetated areas (p < 0.05), mainly distributed in northern Kazakhstan and large areas in the Amu Darya and Syr Darya Basins. Positive transitions resulted from the changes in crop types, decreases in grazing pressure, and increases in water resources, whereas negative transitions were coincident with areas that saw land abandonment, water resource shortages, and soil salinization due to former intensive cultivation. These findings highlight the spatiotemporal changes of institutional and socioeconomic impacts on vegetation productivity in Central Asian dryland and provide implications for future dryland management and restoration efforts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Conservação dos Recursos Naturais / Desenvolvimento Vegetal Aspecto: Determinantes_sociais_saude / Equity_inequality País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Conservação dos Recursos Naturais / Desenvolvimento Vegetal Aspecto: Determinantes_sociais_saude / Equity_inequality País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos