Climatic and hydrologic controls on net primary production in a semiarid loess watershed

Zhao, Fubo; Wu, Yiping; Sivakumar, Bellie; Long, Aihua; Qiu, Linjing; Ji, Chen; Wang, Lijing; Liu, Shuguang; Hu, Hongchang

doi:10.1016/j.jhydrol.2018.11.031

Cited by 56 publications

(27 citation statements)

References 70 publications

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“…Precipitation is the essential limiting factor in arid and semi-arid regions [55,56]. Our results confirm that previous studies reported a significant and positive correlation between inter-annual variation of precipitation and NPP at site level studies [57,58].…”

Section: Response Of Grassland Npp To Climate Changesupporting

confidence: 91%

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Zhang

2019

Sustainability

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As global climate change deeply affects terrestrial ecosystem carbon cycle, it is necessary to understand how grasslands respond to climate change. In this study, we examined the role of climate change on net primary productivity (NPP) from 1961 to 2010 in the Hulunbuir grasslands of China, using a calibrated process-based biogeochemistry model. The results indicated that: Temperature experienced a rise trend from 1961; summer and autumn precipitation showed a rise trend before the 1990s and decline trend after the 1990s. Winter and spring precipitation showed an ascending trend. Simulated NPP had a high inter-annual variability during the study period, ranging from 139 g Cm−2 to 348 g Cm−2. The annual mean NPP was significant and positive in correlation with the annual variation of precipitation, and the trend was first raised then fell with the turn point at the 1990s. Temperature had a 20–30 d lag in summer, but none in spring and autumn; precipitation had a 10–20 d lag in summer. The climate lag effect analysis confirmed that temperature had a positive effect on NPP in spring and a negative effect in summer.

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Section: Response Of Grassland Npp To Climate Changesupporting

confidence: 91%

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Zhang

2019

Sustainability

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“…e Shuttle Radar Topography Mission (SRTM) was launched on February 11-22, 2000. SRTM data are successfully collected over 80% of the Earth's land surface between 60°N and 56°S latitude [30]. It has three spatial resolution outputs available, including 1 km, 90 m, and 30 m resolution.…”

Section: Srtm One Arc-secondmentioning

confidence: 99%

Low‐Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel‐1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El‐Natrun Region, Egypt

Sadek

Mostafa

et al. 2020

Advances in Civil Engineering

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Flash floods are among the most common natural hazards in Egyptian and Arabian deserts. In this work, we utilized two Sentinel-1 and Sentinel-2 satellite images, before and after the flash flood, SRTM, and geolocated terrestrial photos captured by volunteers. This paper aims to three substantial objectives: (1) monitoring the flash flood impacts on Wadi El-Natrun region based on free satellite data and mapping the destroyed vegetation cover; (2) the integration of the free remote sensing data, geolocated terrestrial photos, and GIS techniques, along with hydrologic and hydraulic modeling, to evaluate the impact of flash flood hazards on the study area; and (3) assistance of the decision-makers in planning the required protective works to avoid the probable flooding. Two scenarios have been applied to estimate the flash flood effect. The first scenario has relied on Sentinel-1/2 data fusion before and after the flash flood, while the second scenario has been implemented based on the integration of the Sentinel-2 images and hydrologic and hydraulic flood modeling with the help of ArcGIS software to simulate the flash flood route. The results demonstrated that although the first scenario is an efficient solution for continuous monitoring of the change in the water bodies, it is limited in the detection of the submerged vegetation area. On the other hand, the second scenario provided the flash flood route and hydrological parameters, which determine the hazard degree of the basins, thus helping the decision-maker to manage the flood risk. Moreover, the second scenario surpasses the first one by estimating the destroyed infrastructure. Consequently, the second scenario is appropriate to assess the flash flood impacts and mitigate its influence in the future.

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“…Most efforts to accomplish this have been made through reductions in fossil fuel consumption or increases in intensive use efficiency. In the global carbon emissions reduction process, vegetated terrestrial ecosystems have the added function of carbon fixation and oxygen release [6], and the temporal and spatial patterns of vegetation net primary productivity (NPP) and their response to climate change have received extensive attention [7][8][9][10]. Considering these trends, investigating and quantifying the temporal and spatial variation of NPP response to climate change in the Qinling Mountains has the dual theoretical significance of reflecting both global and regional climate change impacts and guiding regional strategies for carbon emission reduction.…”

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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Climatic and hydrologic controls on net primary production in a semiarid loess watershed

Cited by 56 publications

References 70 publications

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Low‐Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel‐1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El‐Natrun Region, Egypt

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

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