Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins

Fang, Lulu; Wang, Lunche; Chen, Wanxu; Sun, Jiayue; Cao, Qian; Wang, Shaoqiang; Wang, Lizhe

doi:10.1016/j.jclepro.2021.127995

Cited by 214 publications

(113 citation statements)

References 77 publications

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“…However, because of the concentrated and contiguous urban area, ecological land such as forest and grassland are less and more dispersed. Thus, ESs such as soil conservation and carbon sequestration are reduced [49,50]. On the one hand, the concentration and expansion of urban area reduces the regional LERs; but on the other hand, it also encroaches on other land types, resulting in the fragmentation of patches and the decline of ESs.…”

Section: Discussionmentioning

confidence: 99%

Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

Shi-he

Zhong

DongLiang

et al. 2022

Land

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Watershed landscape ecological security and ecosystem service functions are the material basis and environmental guarantee for promoting socioeconomic development. Analyzing the spatiotemporal characteristics of landscape ecological risks (LERs) and ecosystem services (ESs) and exploring the coupling coordination relationship between the two are of great significance for promoting the construction of ecological civilization and achieving sustainable development in the watershed. With the Min River Basin as the study area, the landscape ecological risk assessment, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), and Carnegie Ames–Stanford Approach (CASA) models were used to evaluate the LERs and ESs based on the shared socioeconomic pathways (SSPs), and the patch-generating land use simulation (PLUS) model was used to predict the land use distribution of the Min River Basin in 2030. On this basis, the coupling coordination degree model was used to explore the coupling coordination relationship between the LERs and ESs. The results show that, from 2000 to 2020, the LER of the Min River Basin gradually decreased, and the overall spatial distribution pattern was “high in the north and low in the south”. The ES of the Min River Basin initially decreased and then increased, showing a spatial distribution pattern of “low in the south and high in the north”. Among the SSPs in 2030, the LER is the largest under the SSP3 scenario and the smallest under the SSP4 scenario. The ES improvement is the most significant under the SSP1 scenario and the lowest under the SSP3 scenario. From 2000 to 2030, the coupling coordination degree of the Min River Basin first decreased and then increased, showing a spatial distribution pattern of “high in the south and low in the north”. Among the five SSPs, the coupling coordination degree was the highest under SSP1. The spatial distribution of urban area is the main driving factor affecting the coupling coordination relationship between the LER and ES, and the development of social and economy is the beginning of landscape pattern optimization.

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Section: Discussionmentioning

confidence: 99%

Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

Shi-he

Zhong

DongLiang

et al. 2022

Land

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“…For example, Chen et al [26] found that China has accounted for 25% of the global net increase in leaf area over the past 17 years, which has significantly reduced the CO 2 content in the atmosphere. These results illustrated that the impact of human factors on ecosystems depends on scientific planning, which makes it particularly important to understand the driving mechanisms of ESs changes [27].…”

Section: Introductionmentioning

confidence: 94%

“…In particular, LULC changes were selected to represent the total change of human activities in the past 35 years, while GDP data in 2015 and population density data in 2020 were used to represent the spatial distribution of human activities due to the availability of data and non-repeatability of research contents. GD is a model to describe the spatial effects of the explanatory variables on the interpreted variables, including factor detector, risk detector, interactive detector, and ecological detector [27]. The factor detector is commonly used to represent the explanatory ability of driving factors to independent variables, and its result is represented by q value, in the range of [0,1].…”

Section: Identification Of Driving Factorsmentioning

confidence: 99%

Spatio-Temporal Change of Multiple Ecosystem Services and Their Driving Factors: A Case Study in Beijing, China

Liu

Xiao

et al. 2022

Forests

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Driven by rapid urbanization, land use patterns have undergone dramatic changes, which have in turn influenced ecosystem services (ESs). The government has implemented ecological compensation and conservation actions to mitigate this negative impact, especially in metropolises. However, whether these measures will have the desired effect remains unclear. Therefore, understanding the spatio-temporal characteristics of ESs and their driving factors are crucial for regional development. In this study, we quantified carbon storage, water yield and soil conservation services based on land use maps. A Geographical Detector (GD) was used to analyze the driving mechanisms of ES changes in Beijing from 1985 to 2020. The results showed that (1) the obvious landscape pattern changes are urbanization, afforestation and cultivated land degradation in Beijing, (2) the three services showed an increasing trend overall, but the changes were different in each period, (3) in general, land use change is the main factor affecting ESs, and the urbanization and afforestation contributed the most. These results suggest that in highly urbanized metropolises, humans can still balance the demands of regional development and ESs reasonable planning. This study highlights the importance of afforestation for ESs, the necessity of harmonizing environmental concerns and human activities, and the need to conduct ecological management in Beijing to protect the ecological environment and coordinate regional development.

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“…The Yangtze River Basin (YRB) is rich in vegetation types and has functions such as water and soil conservation and regulation of river runoff [38]. There are alpine meadows and alpine grasslands in the upper reaches, and subtropical evergreen broad-leaf forests in both the eastern and western parts of the basin [51]. The assessment of climate change is therefore important, especially considering that the unique ecosystems of the basin may be highly affected by extreme climate events such as droughts [50].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variability in Hydroclimate over the Upper Yangtze River Basin, China

Yang

Bing

2022

Atmosphere

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As global warming produces dramatic climate changes, water management is facing increasingly serious challenges. Given to the process of climate change and its complex effects on watershed hydrology, this paper investigates the spatial and temporal variation characteristics of major climatic factors (i.e., precipitation and temperature) over the upper Yangtze River basin (UYRB), China. The statistical analyses are based on annual and seasonal scales during 1951–2020 with a recorded period of seven decades. The Mann–Kendall nonparametric test and R/S analysis are used to record the temporal trends (past and future) of climate variables; the Pettitt test, standard normal homogeneity test and Buishand test are used to detect the homogeneity in climate series. The sensitivities of the streamflow to climatic parameters are assessed at the watershed scale, especially considering the Three Gorges Dam’s (TGD) effect on changing runoff. The results of the study indicate that the annual precipitation of 29 out of 34 series indicate homogeneity, while 31 out of 34 annual mean temperature series show heterogeneity, with jump points around 1997 in the mean temperature of 20 sites. Detectable changes in precipitation were not observed during 1951–2020; however, the temperature increased significantly in the whole basin on annual and seasonal scales, except for several stations in the eastern part. The magnitude of increase in air temperature in high altitudes (Tibet Plateau) is higher than that in low altitudes (Sichuan Plain) over the last seven decades, and future temperatures continue to sharply increase in high altitudes. The TGD plays an important role in explaining the seasonal variations in streamflow at Yichang station, with streamflow experiencing a sharp increase in winter and spring (dry season) and a decrease in summer and autumn (rainy season) compared to the pre-TGD period. The streamflow variation at an annual scale is mainly regulated by climate fluctuation (variation in precipitation). During the last seven decades, increasing air temperature and decreases in rainfall and runoff signify reduced water resources availability, and the climate tends to be warmer and drier over the basin. The sensitivity of the streamflow to watershed precipitation is higher than that to temperature, with variation in annual rainfall explaining 71% of annual runoff variability.

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Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins

Cited by 214 publications

References 77 publications

Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

Spatio-Temporal Change of Multiple Ecosystem Services and Their Driving Factors: A Case Study in Beijing, China

Spatio-Temporal Variability in Hydroclimate over the Upper Yangtze River Basin, China

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