2014
DOI: 10.1007/s11442-014-1087-1
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Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982

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Cited by 151 publications
(102 citation statements)
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“…Alpine grassland NPP data were taken from Zhang et al (2014) for the period 1982-2009 at a spatial resolution of 0.05. This dataset was based on Global Inventory Modeling and Mapping Studies (GIMMS) NDVI and SPOT VEGETATION NDVI data; the CarnegieAmes-Stanford Approach model was used to estimate the results.…”
Section: Spatial Datamentioning
confidence: 99%
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“…Alpine grassland NPP data were taken from Zhang et al (2014) for the period 1982-2009 at a spatial resolution of 0.05. This dataset was based on Global Inventory Modeling and Mapping Studies (GIMMS) NDVI and SPOT VEGETATION NDVI data; the CarnegieAmes-Stanford Approach model was used to estimate the results.…”
Section: Spatial Datamentioning
confidence: 99%
“…This dataset was based on Global Inventory Modeling and Mapping Studies (GIMMS) NDVI and SPOT VEGETATION NDVI data; the CarnegieAmes-Stanford Approach model was used to estimate the results. The process of model calculation and the method for verifying the model results are based on previously published methods (Potter et al, 1993;Crabtree et al, 2009;Zhang et al, 2014). The boundary of the Tibetan Plateau was taken as that defined by Zhang et al (2002).…”
Section: Spatial Datamentioning
confidence: 99%
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“…Previous studies on degraded grassland restoration primarily monitored either spatiotemporal changes in vegetation coverage or net primary productivity (NPP) based on the Normalized Difference Vegetation Index (NDVI) datasets at large regional scales (Chen et al 2014;Zhang et al 2014) or compared species composition and aboveground productivity in situ at a few local sites with adjacent pastures fenced and excluded from animal grazing for several years (Wu et al 2012(Wu et al , 2013b(Wu et al , 2014bShang et al 2013). Miehe et al (2011) have emphasized that the analysis of the patterns of anthropogenic disturbances cannot be performed with Landsat ETM+imagery, although it is currently available, and that the assessment or classification of grassland degradation in a given region requires more detailed field measurements.…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing data, therefore, are not the most effective tool for determining whether a recovery in degraded grasslands has taken place under a specific protective management. In addition, there seems to be a discordance between the increasing trends in grassland productivity modeled-based remote sensing data over past decades (Chen et al 2014;Zhang et al 2014) and the increasing mortality among domestic animals as a result of locoweed invasion and dispersion ). Not all plants within a given community are suitable forage for domestic animals, and some locoweeds, such as certain species of Astragalus and Oxytropis, are even poisonous to young weanlings and pregnant dams (Cook et al 2009;Jin et al 2011;Lu et al 2012).…”
Section: Introductionmentioning
confidence: 99%