Combined effects of climate and land management on watershed vegetation dynamics in an arid environment

Liu, Peilong; Hao, Lu; Pan, Cen; Zhou, Decheng; Liu, Yongqiang; Sun, Ge

doi:10.1016/j.scitotenv.2017.02.210

Cited by 31 publications

(15 citation statements)

References 47 publications

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“…Another independent validation study also showed that the GLASS LAI product has the lowest uncertainty, followed by GEOV1 (the first version of Geoland2 satellite products) and MODIS for all the biome types tested (Xu et al 2018). The high quality of the GLASS LAI product is characterized by its spatial and temporal continunity radiation (FAPAR) (Xiao et al 2016b;Xiao et al 2015b), fraction of vegetation coverage (Xiao et al 2016a), broadband emissivity (BBE) over vegetated surfaces Meng et al 2017), gross primary production (GPP) (Liu et al 2018;Liu et al 2015;Tian et al 2017) and evapotranspiration (ET) (Sun et al 2016;Tian et al 2015), mapping wall-towall vegetation height in China (Huang et al 2017), generating regional phenology (Wang et al 2017c), detecting forest disturbances (Wang et al 2017a), and characterizing the ecosystem dynamics within a watershed that has complex topography (Liu et al 2017).…”

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confidence: 99%

The Global Land Surface Satellite (GLASS) Product Suite

Liang

Cheng

Jia

et al. 2021

Bulletin of the American Meteorological Society

252

137

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mentioning

confidence: 99%

The Global Land Surface Satellite (GLASS) Product Suite

Liang

Cheng

Jia

et al. 2021

Bulletin of the American Meteorological Society

252

137

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“…A range of previous studies have applied the RESTREND method to quantitatively determine how human activities have influenced vegetation growth [21,22,31,[40][41][42][43]. He et al (2015) [21] had cleared that this method is highly applicable in semi-arid and semi-humid regions, when assuming that both temperature and precipitation influence a change in the NDVI; thus, this method was selected to isolate the contributions of precipitation and temperature to vegetation change from those due to human influence.…”

Section: The Restrend Analysismentioning

confidence: 99%

“…Secondly, residuals between observed and predicted NDVI values from the regression model were calculated for each pixel and residual trends were analyzed in order to detect slopes with respect to time via linear regression. A significant (p < 0.05) positive slope is therefore indicative of human influence perhaps attributable to conservation or reforestation efforts, while a significant negative slope denotes negative anthropogenic disturbance between 2000 and 2015 [43]. In this step, the significance level (p < 0.05) was tested by F test.…”

Section: The Restrend Analysismentioning

confidence: 99%

The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015

et al. 2017

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Vegetation dynamics in relation to climatic changes and anthropogenic activities is critical for terrestrial ecosystem management. The objective of this study was to investigate spatiotemporal change of vegetation and their driving forces during growing seasons (between April and October and including the spring, summer and autumn) in the Tumen River Basin (TRB) using Normalized Difference Vegetation Index (NDVI) and climate data spanning from 2000 to 2015. A linear regression, Pearson correlation coefficients and the residual trend (RESTREND) was applied for this study. Our results demonstrate that vegetation increased during different periods of the growing season in most of the areas of the TRB over 16 years. Our results demonstrate that vegetation increased during different periods of the growing season in most of the areas of the TRB over 16 years; those in growing season (spring, summer, and autumn) were characterized by the increase in rates by 0.0012/year, 0.0022/year, 0.0011/year, and 0.0019/year, respectively. Forested regions are characterized by the largest increase (0.0021/year) in NDVI compared with other vegetation types across the entire study area. The trends in NDVI across the study area were influenced by both climatic variations and human disturbances. The human activities such as reforestation and agricultural practices are the primary driver, greater than climatic factors, during growing season, including summer and autumn. Temperature and precipitation has had a significant influence on NDVI in a limited area (temp = 0.86%, p < 0.05 and precipitation = 1.93%, p < 0.05) during growing season. The significant role of precipitation on NDVI change throughout growing season and the summer is larger than that of temperature across the TRB, although the influence of the latter becomes most significant during the spring and autumn. The RESTREND method shows that human activity during the growing season, including the spring, summer, and autumn, have led to enhancements in NDVI across more than 70% of the TRB over the last 16 years, with the most significant improvements seen in forested land and farmland. At the same time, a significant reduction in residual (i.e., degraded areas) NDVI values for different growing seasons had characterized farmland and urban land at low altitudes. This study provides important background information regarding the influence of human activities on land degradation and provides a scientific foundation for the development of ecological restoration policies within the TRB. We found that the RESTREND method can be used to detect human drivers of vegetation in the regions with semi-humid and humid monsoon, where the significant correlation between NDVI and climatic factors exists.

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“…While providing such huge benefits to the population, the potentially adverse environmental impacts of poor livestock management at the local, regional, and national levels, which have not been duly eliminated in many emerging economies, is substantiated by Sakadevan and Nguyen [38]. Liu et al [39] propose the leaf area index as a key parameter for characterizing the vegetation dynamics and ecosystem structure, defined in terms of functions and services such as clean water supply and carbon uptake at the watershed. In Reference [40], environmental descriptors are proposed as cost-effective biodiversity indicators, which are necessary for regional and global biodiversity monitoring.…”

Section: Introductionmentioning

confidence: 99%

Ecological Criteria for Comparing Linear and Circular Economies

2018

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In the present article, the main principles of the circular economy are outlined in contradistinction with the existing and traditional linear economic model. An econometric model describing the influence of the linear economy on the environment is presented. The environment is characterized by seven key processes: change in global temperature; emissions of greenhouse gases from industry to the environment; emissions of greenhouse gases from agriculture to the environment; CO2 emissions into the environment; depletion of fresh water supplies; reduction of forest cover; and economic damage from climatological disasters. The model describing the impact of the traditional linear economy on the environment consists of seven interdependent econometric equations, each comprising an autoregressive distributed lag (ADL)-model. The proposed econometric model is used to analyze the environmental effects of the present linear economy. Methodological provisions for a transformational transition of the traditional linear economic model to the closed-loop systems, which also permit the impact of the closed-loop systems on the environment to be analyzed, are set out. Seven ecological indicators are proposed as criteria for comparing the traditional linear economy and the closed-loop systems. The manuscript presents a new approach for the determination of ecological criteria for comparing linear and circular economies. The results of the study could be interesting to address circular processes, which can be used as a criterion to establish ecological management according to the status of natural resources.

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Combined effects of climate and land management on watershed vegetation dynamics in an arid environment

Cited by 31 publications

References 47 publications

The Global Land Surface Satellite (GLASS) Product Suite

The Global Land Surface Satellite (GLASS) Product Suite

The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015

Ecological Criteria for Comparing Linear and Circular Economies

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