Ecosystem Services Assessment, Trade-Off and Bundles in the Yellow River Basin, China

Yang, Jie; Xie, Bin; Tao, Wenqian

doi:10.21203/rs.3.rs-607828/v1

Cited by 16 publications

(7 citation statements)

References 45 publications

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“…Among L tors, WY exhibited positive correlations with the proportion of CL and NDVI Between 2000 and 2020, the average WY depth for each LU type, arranged from largest to smallest, was as follows: CSL (315.16 mm), UL (241.47 mm), GL (199.73 mm), CL (168.78 mm), FL (54.44 mm), and WA (0.01 mm). This is consistent with many previous studies [52]. Due to variations in evapotranspiration, soil composition, water retention capacity of litter, and canopy interception among various LU types, significant variations exist in WY capacity [53,54].…”

Section: Analysis Of the Driving Factors Influencing The St Variation...supporting

confidence: 91%

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Study on the Spatial–Temporal Variations and Driving Factors of Water Yield in the Yiluo River Basin

Cao,

Zhang,

Wei

et al. 2024

Water

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Water yield (WY) is an significant characteristic that reflects ecosystem services. In order to realize high-quality development, it is vital to explore the spatial and temporal (ST) distribution of WY and its driving factors in the Yiluo River Basin (YLRB) to uphold ecological stability and advance long-term sustainable growth. This paper quantifies WY in the YLRB from 2010 to 2020 using the WY model in the InVEST toolkit. Exploring ST characteristics and driving factors at both the raster and sub-watershed levels, results indicate that the overall WY (average water depth) of the YLRB in 2010, 2015, and 2020 was 26.93 × 108 m3 (136.50 mm), 22.86 × 108 m3 (113.38 mm), and 26.81 × 108 m3 (137.61 mm), respectively. The spatial pattern of watershed WY remains consistent across various periods, illustrating spatial variation in the depth of low WY in the central and western regions and high WY depth in the eastern region. At the sub-watershed level, the Luo River (LR) Basin has the highest contribution (69%) to the WY of the entire basin and served as the principal WY region of the YLRB. Conversely, the Yiluo River section, formed after the confluence of the Yi River (YR) and the LR, has the lowest WY contribution (7%) in the entire watershed. Distinct variations exist in the WY capacity among various land use (LU) types. Construction land (CSL) and unused land (UL) exhibited the highest WY capacity (315.16 mm and 241.47 mm), whereas water area (WA) had the lowest (0.01 mm). WY was significantly positively correlated with slope, precipitation, actual evapotranspiration, percentage of cultivated land, and NDVI. It showed a significant negative correlation with altitude, WA, and population density. This study helps promote the research and development of watershed ecosystem services. It also provides scientific support resolving conflicts between watershed protection and economic development and promoting harmony in the YLRB.

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Section: Analysis Of the Driving Factors Influencing The St Variation...supporting

confidence: 91%

“…where R xj represents the Budyko dryness index of raster unit x for LU type j, ω x denotes the ratio of corrected annual available water to expected precipitation, and Z represents the Zhang parameter [52]. The plant evapotranspiration coefficient is denoted as k xj , and PAWC x refers to the plant available water content.…”

Section: Invest Modelmentioning

confidence: 99%

Study on the Spatial–Temporal Variations and Driving Factors of Water Yield in the Yiluo River Basin

Cao,

Zhang,

Wei

et al. 2024

Water

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“…In addition, ecological corridors with a predominantly grassland landscape structure are also an important part of current spatial-structure research [ 127 , 128 ]. Ecological corridors are important links between the structure and function of a system, and grasslands can be used as buffer zones to improve the connectivity of ecological functions, allowing species to use corridors for long-distance dispersal or to provide shelter for some animal movements [ 129 ], thus maintaining and protecting biodiversity and improving the quality of their habitats [ 130 , 131 ].…”

Section: Resultsmentioning

confidence: 99%

Research Progress of Grassland Ecosystem Structure and Stability and Inspiration for Improving Its Service Capacity in the Karst Desertification Control

Xiong

Song

et al. 2023

Plants

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The structure and stability of grassland ecosystems have a significant impact on biodiversity, material cycling and productivity for ecosystem services. However, the issue of the structure and stability of grassland ecosystems has not been systematically reviewed. Based on the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, we used the systematic-review method and screened 133 papers to describe and analyze the frontiers of research into the structure and stability of grassland ecosystems. The research results showed that: (1) The number of articles about the structure and stability of grassland ecosystems is gradually increasing, and the research themes are becoming increasingly diverse. (2) There is a high degree of consistency between the study area and the spatial distribution of grassland. (3) Based on the changes in ecosystem patterns and their interrelationships with ecosystem processes, we reviewed the research progress and landmark results on the structure, stability, structure–stability relationship and their influencing factors of grassland ecosystems; among them, the study of structure is the main research focus (51.12%), followed by the study of the influencing factors of structure and stability (37.57%). (4) Key scientific questions on structural optimization, stability enhancement and harmonizing the relationship between structure and stability are explored. (5) Based on the background of karst desertification control (KDC) and its geographical characteristics, three insights are proposed to optimize the spatial allocation, enhance the stability of grassland for rocky desertification control and coordinate the regulation mechanism of grassland structure and stability. This study provided some references for grassland managers and relevant policy makers to optimize the structure and enhance the stability of grassland ecosystems. It also provided important insights to enhance the service capacity of grassland ecosystems in KDC.

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“…The pattern results align with findings from prior research. (e.g., Fang et al, 2021;Yang et al, 2021) [36,53]. Overall, there were synergistic relationships between ESs.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Differentiation and Its Attribution of the Ecosystem Service Trade-Off/Synergy in the Yellow River Basin

Sun,

Di,

Sun

et al. 2024

Land

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Clarifying the spatio-temporal patterns of ecosystem services trade-off/synergy relationships (ESTSs) and their attribution in the Yellow River Basin is crucial to constructing ecological civilization in China. This study first analyzed the spatio-temporal change of ecosystem services (ESs) including the water yield, soil conservation, carbon sequestration, and habitat quality in the Yellow River Basin during 2000–2020 based on the InVEST and RUSLE models. Then, the spatial autocorrelation methods were used to quantify the spatio-temporal differentiation of ESTSs, and the Geo-detector method was employed to identify the contributions of driving factors associated with the natural, social-economic, and regional policy aspects of the ESTSs. Finally, the random forest and analysis of variance methods were used to validate the reasonability of major driving factors obtained by the Geo-detector. The main findings include: (1) In 2000–2020, water yield, soil conservation, and habitat quality increased, and carbon sequestration decreased. The ESs had a spatial pattern of high in the east and low in the west. (2) Overall, there were synergistic relationships between the four Ess. In the spatial distribution of ESTSs, the expansion of the synergy zone and trade-off zone occupied the majority. The synergy zones tended to be concentrated in the northwest and southeast of the study area. In contrast, the trade-off zones were more scattered than the synergy zone, mainly focused on the east-central and southwestern parts of the Yellow River Basin. (3) Geo-detector and random forest both showed that natural factors had a strong explanatory power on ESTSs, in which NDVI is a key driver. Both the results of Geo-detector and the analysis of variance showed that the interactions between natural factors exerted the most significant influence on ESTSs, followed by the interaction between natural factors and socio-economic factors.

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Ecosystem Services Assessment, Trade-Off and Bundles in the Yellow River Basin, China

Cited by 16 publications

References 45 publications

Study on the Spatial–Temporal Variations and Driving Factors of Water Yield in the Yiluo River Basin

Study on the Spatial–Temporal Variations and Driving Factors of Water Yield in the Yiluo River Basin

Research Progress of Grassland Ecosystem Structure and Stability and Inspiration for Improving Its Service Capacity in the Karst Desertification Control

Spatiotemporal Differentiation and Its Attribution of the Ecosystem Service Trade-Off/Synergy in the Yellow River Basin

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