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

Sun, Bo; Zhao, Hong; Wang, Xiaoke

doi:10.1007/s11769-016-0804-3

Cited by 45 publications

(23 citation statements)

References 43 publications

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“…And in recent 20 years, the risk of land surface drought increased (Burke & Brown, 2008). One aspect of precipitation changes, increased summer or growing season drought, which resulting from the global warming, probably leading the land surface more drying and will likely lower productivity in many areas (Dai, 2013;IPCC, 2013;Marvel et al, 2019), and these decreases will be caused by both the drought intensity and the duration (Ciais et al, 2005;Sun, Zhao, & Wang, 2016).…”

Section: Introductionmentioning

confidence: 99%

Summer drought decreases Leymus chinensis productivity through constraining the bud, tiller and shoot production

Wang

Shi

et al. 2019

J Agronomy Crop Science

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Extreme drought events can directly decrease productivity in perennial grasslands.However, for rhizomatous perennial grasses it remains unknown how drought events influence the belowground bud bank which determines future productivity. Ninetyday-long drought events imposed on Leymus chinensis, a rhizomatous perennial grass, caused a 41% decrease in the aboveground biomass and a 28% decrease in below- S U PP O RTI N G I N FO R M ATI O NAdditional supporting information may be found online in the Supporting Information section at the end of the article. How to cite this article: Wang J, Shi Y, Ao Y, et al. Summer drought decreases Leymus chinensis productivity through constraining the bud, tiller and shoot production. J Agro Crop Sci. 2019;205:554-561. https ://doi.

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Section: Introductionmentioning

confidence: 99%

Summer drought decreases Leymus chinensis productivity through constraining the bud, tiller and shoot production

Wang

Shi

et al. 2019

J Agronomy Crop Science

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“…Nevertheless, the magnitude of the response of vegetation to dry-wet conditions remains uncertain due to the complexity of the dry-wet transition and intrinsic drought sensitivity among vegetation types [21,43]. The intensity, duration, and timing of drought partly determine the effect of drought on vegetation productivity, where moderate drought with higher temperatures increases the net primary production (NPP), while severe drought causes a delayed response of NPP to precipitation [22,44]. As a satisfactory indicator of vegetation activities, the Normalized Difference Vegetation Index (NDVI), which was used in this study, has been widely and successfully used to detect the vegetation variations [36][37][38][39][40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau

et al. 2019

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The dry-wet transition is of great importance for vegetation dynamics, however the response mechanism of vegetation variations is still unclear due to the complicated effects of climate change. As a critical ecologically fragile area located in the southeast Qinghai-Tibet Plateau, the Yarlung Zangbo River (YZR) basin, which was selected as the typical area in this study, is significantly sensitive and vulnerable to climate change. The standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI) based on the GLDAS-NOAH products and the GIMMS-NDVI remote sensing data from 1982 to 2015 were employed to investigate the spatio-temporal characteristics of the dry-wet regime and the vegetation dynamic responses. The results showed that: (1) The spatio-temporal patterns of the precipitation and temperature simulated by the GLDAS-NOAH fitted well with those of the in-situ data. (2) During the period of 1982–2015, the whole YZR basin exhibited an overall wetting tendency. However, the spatio-temporal characteristics of the dry-wet regime exhibited a reversal phenomenon before and after 2000, which was jointly identified by the SPEI and runoff. That is, the YZR basin showed a wetting trend before 2000 and a drying trend after 2000; the arid areas in the basin showed a tendency of wetting whereas the humid areas exhibited a trend of drying. (3) The region where NDVI was positively correlated with SPEI accounted for approximately 70% of the basin area, demonstrating a similar spatio-temporal reversal phenomenon of the vegetation around 2000, indicating that the dry-wet condition is of great importance for the evolution of vegetation. (4) The SPEI showed a much more significant positive correlation with the soil water content which accounted for more than 95% of the basin area, implying that the soil water content was an important indicator to identify the dry-wet transition in the YZR basin.

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“…Extreme weather events (such as heavy rain or drought events) caused forest NPP to drop by more than 25% [16][17][18]. Sun et al concluded that drought events led to a decrease of 112.06 TgC in NPP in the northern part of China from 1999 to 2013 [19]. While extreme weather events (drought and heavy rain events) decreased NPP, levels recovered to their original values through self-growth in, showing that NPP has elasticity or resilience.…”

Section: Introductionmentioning

confidence: 99%

Effects of Temperature and Precipitation on Spatiotemporal Variations of Net Primary Productivity in the Qinling Mountains, China

Wang

Yang

Yan

et al. 2020

Pol. J. Environ. Stud.

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The Qinling Mountains are an important geographic boundary in central and eastern China. The region has diverse and complex mountain ecosystems that are ideal to study the response of terrestrial ecosystems in the context of global climate change. Based on GIMMS NDVI data, meteorological data, and DEM and vegetation type data, we used the Comprehensive and CASA (Carnegie Ames Stanford Approach) models simulate NPP (Net Primary Productivity) and the response to climate change in the Qinling Mountains from 1982 to 2015. The research includes three main aspects: (1) MOD17A3 NPP data was used to compare the accuracy of the NPP values obtained by different methods. The NPP values calculated using the CASA model and GIMMS NDVI were most accurate without considering the vegetation type. (2) Changes in NPP were analyzed. The change trend of inter-annual and seasonal NPP was not significant temporally, but the inter-annual and spring NPP increased significantly, reaching 35.49% and 57.84% of the total study area, respectively, while the area of winter NPP significantly reduced by 22.87%. (3) The relationship between NPP and air temperature and precipitation was analyzed. The proportion of significant positively correlated inter-annual and spring NPP and precipitation values were higher, reaching 31.20% and 21.20%, respectively, while the proportion of significant positively correlated spring and autumn NPP values were only 10.80% and 10.20%, respectively. The complexity of the Qinling mountainous system enhances the heterogeneity of spatial and temporal variations in NPP and the response to climate change.

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

Cited by 45 publications

References 43 publications

Summer drought decreases Leymus chinensis productivity through constraining the bud, tiller and shoot production

Summer drought decreases Leymus chinensis productivity through constraining the bud, tiller and shoot production

Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau

Effects of Temperature and Precipitation on Spatiotemporal Variations of Net Primary Productivity in the Qinling Mountains, China

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