Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau, China

Ma, Zonghan; Niu, Y.; Wu, Bingfang; Stein, Alfred; Zhu, Weiwei; Zeng, Hongwei

doi:10.1016/j.scitotenv.2019.06.155

Cited by 84 publications

(37 citation statements)

References 59 publications

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“…Previous studies confirmed that NDVI veg and NDVI soil cannot be defined as the fixed value, as they changed with time and space for the influence of meteorological and vegetation type [28]. In this study, an approximate substitution method was applied to determine the values of NDVI veg and NDVI soil [27]. Specifically, we obtained the NDVI values in remote sensing images and constructed the NDVI cumulative frequency table from 1982 to 2015.…”

Section: Pixel Dichotomy Modelmentioning

confidence: 87%

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Examining Fractional Vegetation Cover Dynamics in Response to Climate from 1982 to 2015 in the Amur River Basin for SDG 13

Yang

Mao

et al. 2020

Sustainability

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The impacts of climate and the need to improve resilience to current and possible future climate are highlighted in the UN’s Sustainable Development Goal (SDG) 13. Vegetation in the Amur River Basin (ARB), lying in the middle and high latitudes and being one of the 10 largest basins worldwide, plays an important role in the regional carbon cycle but is vulnerable to climate change. Based on GIMMS NDVI3g and CRU TS4.01 climate data, this study investigated the spatiotemporal patterns of fractional vegetation cover (FVC) in the ARB and their relationships with climatic changes from 1982 to 2015 varying over different seasons, vegetation types, geographical gradients, and countries. The results reveal that the FVC presented significant increasing trends (P < 0.05) in growing season (May to September) and autumn (September to October), but insignificant increasing trends in spring (April to May) and summer (June to August), with the largest annual FVC increase occurring in autumn. However, some areas showed significant decreases of FVC in growing season, mainly located on the China side of the ARB, such as the Changbai mountainous area, the Sanjiang plain, and the Lesser Khingan mountainous area. The FVC changes and their relationships varied among different vegetation types in various seasons. Specifically, grassland FVC experienced the largest increase in growing season, spring, and summer, while woodland FVC changed more dramatically in autumn. FVC correlated positively with air temperature in spring, especially for grassland, and correlated negatively with precipitation, especially for woodland. The correlations between FVC and climatic factors in growing season were zonal in latitude and longitude, while 120° E and 50° N were the approximate boundaries at which the values of mean correlation coefficients changed from positive to negative, respectively. These findings are beneficial to a better understanding the responses of vegetation in the middle and high latitudes to climate change and could provide fundamental information for sustainable ecosystem management in the ARB and the northern hemisphere.

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Section: Pixel Dichotomy Modelmentioning

confidence: 87%

“…The pixel dichotomy model, widely used for calculating FVC from the NDVI [20,27], was chosen for this study. In this model, each image pixel was regarded as a mixed pixel composed of two parts (vegetation and soil), so FVC can be obtained as:…”

Section: Pixel Dichotomy Modelmentioning

confidence: 99%

Examining Fractional Vegetation Cover Dynamics in Response to Climate from 1982 to 2015 in the Amur River Basin for SDG 13

Yang

Mao

et al. 2020

Sustainability

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“…Prior to 2010, temperature changes were relatively stable and even slightly decreased, and the average temperature then rose rapidly by about 1.5 • C. Increased temperature promotes the germination of vegetation in spring and improves the growth of vegetation; on the other hand, it increases the transpiration and evaporation of plants in summer, which limits vegetation growth in arid and semiarid regions. Ma et al [78] reported that evapotranspiration variation was consistent with changes in vegetation coverage, with a marginally increasing trend of about 0-5 mm/a during 2000-2010 and no significant increasing trend during 2011-2015 in the northwestern Loess Plateau. Numerous studies also showed that climate warming is one of the main driving factors of greening in northern China by enhancing photosynthesis and increasing vegetation activity [66,[79][80][81].…”

Section: Response Of Vegetation Changes To Climate Conditionsmentioning

confidence: 94%

Spatial Heterogeneity of Vegetation Response to Mining Activities in Resource Regions of Northwestern China

Xie

Wang

et al. 2020

Remote Sensing

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Aggregated mining development has direct and indirect impacts on vegetation changes. This impact shows spatial differences due to the complex influence of multiple mines, which is a common issue in resource regions. To estimate the spatial heterogeneity of vegetation response to mining activities, we coupled vegetation changes and mining development through a geographically weighted regression (GWR) model for three cumulative periods between 1999 and 2018 in integrated resource regions of northwestern China. Vegetation changes were monitored by Sen’s slope and the Mann–Kendall test according to a total of 72 Landsat images. Spatial distribution of mining development was quantified, due to four land-use maps in 2000, 2005, 2010, and 2017. The results showed that 80% of vegetation in the study area experienced different degrees of degradation, more serious in the overlapping areas of multiple mines and mining areas. The scope of influence for single mines on vegetation shrunk by about 48%, and the mean coefficients increased by 20%, closer to mining areas. The scope of influence for multiple mines on vegetation gradually expanded to 86% from the outer edge to the inner overlapping areas of mining areas, where the mean coefficients increased by 92%. The correlation between elevation and vegetation changes varied according to the average elevation of the total mining areas. Ultimately, the available ecological remediation should be systematically considered for local conditions and mining consequences.

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“…Actual evapotranspiration (AET) data were sourced from GLEAM (Global Land Evaporation Amsterdam Model, http://www.gleam .eu) datasets with a spatial resolution of 0.25°, which have been verified to agree well with land surface flux observations in China [49][50][51]. Especially in arid northwestern China, which has few observation stations, GLEAM-AET can help to obtain spatially and temporally better regional AET [52,53]. Compared with other AET products (e.g., MOD16, JRA, GLDAS), GLEAM-AET has higher spatial and temporal resolutions (0.25°, 1 day) and matches better with data requirements in basin-scale studies.…”

Section: Data Collection and Processingmentioning

confidence: 96%

The impact of increasing land productivity on groundwater dynamics: a case study of an oasis located at the edge of the Gobi Desert

Xie

et al. 2020

Carbon Balance Manage

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Background: Intensification of agricultural systems may result in overexploitation of water resources in arid regions because enhanced productivity of crops is often associated with increased actual evapotranspiration (AET). The aim of this study was to quantify the effect of increased regional AET on the groundwater level in a case study of the oasis located within the Shiyang River Basin near the edge of the Gobi Desert. Result: The results of the study show that regional AET increased during the period from 1981 to 2010 due to increasing oasis area and air temperature. The water losses due to AET exceeded the water supply from the mountainous discharges of the basin by the end of this period, leading to groundwater overexploitation in the oasis area. Conclusions: This case study shows the importance of considering the effect of climate change on water losses associated with increasing agricultural production for the sustainable agricultural development of arid regions.

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Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau, China

Cited by 84 publications

References 59 publications

Examining Fractional Vegetation Cover Dynamics in Response to Climate from 1982 to 2015 in the Amur River Basin for SDG 13

Examining Fractional Vegetation Cover Dynamics in Response to Climate from 1982 to 2015 in the Amur River Basin for SDG 13

Spatial Heterogeneity of Vegetation Response to Mining Activities in Resource Regions of Northwestern China

The impact of increasing land productivity on groundwater dynamics: a case study of an oasis located at the edge of the Gobi Desert

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