Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia

Mohammat, Anwar; Wang, Xuhui; Xu, Xiangtao; Peng, Liqing; Yang, Yan; Zhang, Xinping; Myneni, Ranga B.; Piao, Shilong

doi:10.1016/j.agrformet.2012.09.014

Cited by 165 publications

(120 citation statements)

References 33 publications

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“…A strong correlation between drought and NPP anomalies was found in China between 2000 and 2010 (Pei et al, 2013). At continental or national scales, there were also considerably studies reported the drought induced reductions in vegetation productivity (Gilgen and Buchmann, 2009;Zhang et al, 2010;Mohammat et al, 2012;Zhou et al, 2013).…”

Section: Proved That Droughts In the Southernmentioning

confidence: 92%

“…It is projected that the increasing trend in vegetation productivity could last until 2050 (Cramer et al, 2001). However, stalled or decreasing trends for the Normalized Difference Vegetation Index (NDVI) have been reported over the last decade (Angert et al, 2005;Park and Sohn, 2010;Piao et al, 2011;Mohammat et al, 2012). These contradicted results require to closely examine the effects of recent droughts on vegetation greening and productivity.…”

Section: Proved That Droughts In the Southernmentioning

confidence: 98%

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Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Sun¹,

Zhao²,

Wang

2016

Chin. Geogr. Sci.

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Northeast China has experienced frequent droughts over the past fifteen years. However, the effects of droughts on net primary productivity (NPP) in Northeast China remain unclear. In this paper, the droughts that occurred in Northeast China between 1999 and 2013 were identified using the Standardized Precipitation Evapotranspiration Index (SPEI). The NPP standardized anomaly index (NPP-SAI) was used to evaluate NPP anomalies. The years of 1999, 2000, 2001, and 2007 were further investigated in order to explore the influence of droughts on NPP at different time scales (3, 6, and 12 months). Based on the NPP-SAI of normal areas, we found droughts overall decreased NPP by 112.06 Tg C between 1999 and 2013. Lower temperatures at the beginning of the growing season could cause declines in NPP by shortening the length of the growing season. Mild drought or short-term drought with higher temperatures might increase NPP, and weak intensity droughts intensified the lag effects of droughts on NPP.

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Section: Proved That Droughts In the Southernmentioning

confidence: 92%

Section: Proved That Droughts In the Southernmentioning

confidence: 98%

Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Sun¹,

Zhao²,

Wang

2016

Chin. Geogr. Sci.

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“…These spatiotemporal patterns imply that the severe regional droughts observed in boreal and temperate North America during recent years (e.g., 1988,[2001][2002][2003]; [4,68,69]) have been driven exclusively by precipitation deficits. In contrast, since the 1990s, warming-driven evapotranspiration demand has been an additional factor driving the severity and extent of regional droughts documented in northern North America (e.g., 1998, 2004; [70,71]) and most of northern and inner Eurasia (e.g., 2001, 2010; [4,72,73]). …”

Section: Sensitivity Of High-latitude Drought To Surface Warmingmentioning

confidence: 99%

Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011

et al. 2014

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Recent warming has stimulated the productivity of boreal and Arctic vegetation by reducing temperature limitations. However, several studies have hypothesized that warming may have also increased moisture limitations because of intensified summer drought severity. Establishing the connections between warming and drought stress has been difficult because soil moisture observations are scarce. Here we use recently developed gridded datasets of moisture variability to investigate the links between warming and changes in available soil moisture and summer vegetation photosynthetic activity at northern latitudes (>45 • N) based on the Normalized Difference Vegetation Index (NDVI) since 1982. Moisture and temperature exert a significant influence on the interannual variability of Remote Sens. 2014, 6 1391 summer NDVI over about 29% (mean r 2 = 0.29 ± 0.16) and 43% (mean r 2 = 0.25 ± 0.12) of the northern vegetated land, respectively. Rapid summer warming since the late 1980s (∼0.7 • C) has increased evapotranspiration demand and consequently summer drought severity, but contrary to earlier suggestions it has not changed the dominant climate controls of NDVI over time. Furthermore, changes in snow dynamics (accumulation and melting) appear to be more important than increased evaporative demand in controlling changes in summer soil moisture availability and NDVI in moisture-sensitive regions of the boreal forest. In boreal North America, forest NDVI declines are more consistent with reduced snowpack rather than with temperature-induced increases in evaporative demand as suggested in earlier studies. Moreover, summer NDVI variability over about 28% of the northern vegetated land is not significantly associated with moisture or temperature variability, yet most of this land shows increasing NDVI trends. These results suggest that changes in snow accumulation and melt, together with other possibly non-climatic factors are likely to play a significant role in modulating regional ecosystem responses to the projected warming and increase in evapotranspiration demand during the coming decades.

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“…Using a spatial average resampling method like Fensholt et al (2009) andFensholt et al (2012), the MODIS NDVI was resampled to a spatial resolution of 8 km 9 8 km to be consistent with the GIMMS NDVI datasets. Pixels with a mean growing season NDVI \0.10 were excluded in this study to reduce the influence of sparsely vegetated pixels on the NDVI trend following the lead of earlier related research studies (Mohammat et al 2013;Piao et al 2011a, b;Zhang et al 2013;Zhao et al 2011). …”

Section: Data Sources and Processingmentioning

confidence: 99%

“…In recent years, the TP has experienced substantial climate change, such as pronounced warming (Duan et al 2011;Qin et al 2009;Shichang et al 2010;Yang et al 2014), reduced wind (Cuo et al 2012;Yang et al 2011Yang et al , 2014) and reduced precipitation (Huang et al 2011). The combination of these changes has greatly impacted vegetation growth (Ding et al 2010;Mao et al 2007;Mohammat et al 2013;Peng et al 2012b;Xu et al , 2012Yang et al 2005;Yang and Piao 2006;Zhang et al 2010). Linear trend analysis over a long series of years may obscure significant changes appearing within shorter time intervals (de Jong et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal changes of vegetation on the Tibetan Plateau and relationship to climatic variables during multiyear periods from 1982–2012

Zhao

Jian-min

et al. 2015

Environ Earth Sci

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Understanding the dynamics of vegetation system change is often limited by relatively brief data sequences and the shortage of comparable analyses of variation over longer periods. In this study, GIMMS NDVI and MODIS NDVI datasets were integrated to establish a consistent NDVI time series from 1982 to 2012 on vegetation of the Tibetan Plateau in China. The spatiotemporal patterns of change in seasonal NDVI and their linkage with climatic variables were analyzed at regional and pixel scales over 14 periods ranging from 18 to 31 years and beginning in 1982. On a regional scale, positive trends of growing season and seasonal NDVI were observed during the 14 periods, and the increases were statistically significant for growing season NDVI during all periods, and for summer and autumn NDVI during only the last four and the last two periods, respectively. The rates of NDVI increase in growing season and spring significantly decreased over the 14 periods. NDVI rates slightly decrease in summer and significantly increase in autumn. At a pixel scale, areas with significant greening or significant browning significantly increased over the 14 periods during the growth season and during all seasons except spring, in which the proportion of vegetated area with greening rapidly decreased. Temperature was the primary climatic driver for the observed vegetation changes during multiple periods while precipitation and sunshine duration had significant impacts on vegetation growth only in limited parts of the study area or during spring. Vegetation growth response to climate change varied across seasons and regions. Trend analysis during the multiple nested time series provides a better understanding of NDVI dynamics and may help to forecast future changes. Spring NDVI is likely to continue decreasing, autumn NDVI will continue increasing, and the magnitude of the NDVI increase during growing season will decline in the future.

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Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia

Cited by 165 publications

References 33 publications

Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011

Spatiotemporal changes of vegetation on the Tibetan Plateau and relationship to climatic variables during multiyear periods from 1982–2012

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