Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982–2013

Science of the Total Environment

Volumn 579, Issue , 2017, Pages 1658-1674

  Xu, Hao jie ^a,b   Wang, Xin ping ^a   Yang, Tai bao ^c  

^a Chinese Academy of Sciences   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c LANZHOU UNIVERSITY   (China)

Author keywords

Drought; Dryland vegetation; Nonlinearity; Plant functional type; Seasonality

Indexed keywords

CARBON; CLIMATE MODELS; DROUGHT; ECOLOGY; METEOROLOGY; VEGETATION;

DRYLAND; ECOLOGICAL SECURITY; GLOBAL CARBON CYCLE; NONLINEARITY; PLANT FUNCTIONAL TYPE; SEASONALITY; TERRESTRIAL ECOSYSTEMS; WINTER PRECIPITATION;

CLIMATE CHANGE;

CLIMATE CHANGE; CLIMATE EFFECT; DROUGHT; NDVI; NONLINEARITY; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SATELLITE DATA; SEASONALITY;

ARTICLE; AUTUMN; BIOME; CLIMATE CHANGE; CROPLAND; ENVIRONMENTAL CHANGE; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL TEMPERATURE; FOREST; GRASSLAND; PRECIPITATION; PRIORITY JOURNAL; SEASONAL VARIATION; SPRING; SUMMER; VEGETATION; WINTER; ASIA; CARBON CYCLE; ECOSYSTEM; ENVIRONMENTAL MONITORING; PLANT; PLANT DEVELOPMENT; PROCEDURES; SATELLITE IMAGERY;

EURASIA;

ASIA; CARBON CYCLE; CLIMATE CHANGE; ECOSYSTEM; ENVIRONMENTAL MONITORING; PLANT DEVELOPMENT; PLANTS; SATELLITE IMAGERY;

EID: 85028247599     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.11.182     Document Type: Article

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