Identifying conservation priority zones and their driving factors regarding regional ecosystem services

Li, Hongyi; He, Rui; Hu, Jie; Zhou, Yue; Xie, Modian; Deng, Wanming; Wang, Junjie; Zhao, Wanru; Zhang, Shuangshuang; Jiang, Yefeng; Liang, Zhao; Luo, Langli; Hu, Bifeng; Shi, Zhou

doi:10.1007/s10668-023-03514-4

Cited by 3 publications

(3 citation statements)

References 65 publications

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“…Slope emerged as the primary factor explaining SC, and the maximum SC capacity in both basins was observed in areas with slopes exceeding 25 • (Figure S6), with SC capacity increasing with slope steepness [12,81]. The interaction between slope and precipitation held substantial explanatory power for SC, aligning with the results of Li et al [82]. However, some studies suggested that soil erosion could intensify with steeper slopes [56], as high-slope areas were more susceptible to erosional forces, potentially affecting SC.…”

Section: Explanation Of Influencing Factors On Spatio-temporal Dynami...supporting

confidence: 84%

“…Increasing the extent of these land types significantly enhanced HQ services [34]. However, human-induced land cover changes, like urban expansion and cultivation, reduced patch connectivity and landscape fragmentation, resulting in lower HQ in areas with intense human activities, especially in croplands [82]. Changes in LULC from 2001 to 2021 in both basins showed a significant expansion of forests and a slight cropland reduction in the YZRB (Figure S5), aligning with the overall upward trend in HQ.…”

Section: Explanation Of Influencing Factors On Spatio-temporal Dynami...mentioning

confidence: 58%

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Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins

Yu,

Xiao,

Bruzzone

et al. 2024

Remote Sensing

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The Yangtze River Basin (YZRB) and the Yellow River Basin (YRB), which are crucial for ecology and economy in China, face growing challenges to ecosystem service (ES) functions due to global population growth, urbanization, and climate change. This study assessed the spatiotemporal dynamics of ESs in the YZRB and the YRB between 2001 and 2021, comprehensively encompassing essential aspects such as water yield (WY), carbon sequestration (CS), soil conservation (SC), and habitat quality (HQ) while also analyzing the trade-offs and synergies among these ESs at the grid cells. The GeoDetector was employed to ascertain individual or interactive effects of natural and anthropogenic factors on these ESs and their trade-offs/synergies. The results showed that (1) from 2001 to 2021, the four ESs exhibited significant spatial disparities in the distribution within two basins, with the overall trend of ESs mainly increasing. YZRB consistently exhibited substantially higher ES values than the YRB. (2) Complex trade-offs and synergies among these ESs were apparent in both basins, characterized by distinct spatial heterogeneity. The spatial relationships of WY–CS, WY–SC, CS–SC, and CS–HQ were mainly synergistic. (3) Precipitation, potential evapotranspiration, elevation, land use and land cover (LULC), and slope influenced ESs in both basins. Notably, interactive factors, particularly the interactions involving LULC and other factors, demonstrated more robust explanatory power for ESs and their trade-offs/synergies than individual drivers. These findings significantly affect the refined ecosystem management and sustainable development decision-making in large rivers or regions.

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Section: Explanation Of Influencing Factors On Spatio-temporal Dynami...supporting

confidence: 84%

Section: Explanation Of Influencing Factors On Spatio-temporal Dynami...mentioning

confidence: 58%

Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins

Yu,

Xiao,

Bruzzone

et al. 2024

Remote Sensing

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“…However, the subsurface runoff, subsurface runoff rate, and subsurface runoff modulus decrease with increasing slope gradient. Low slope gradients better inhibit the downward loss of soil particles from runoff during rainfall [30]. Compared with single influencing factors, comprehensive interactions between rainfall intensity and slope gradient had a more obvious impact on the slope surface runoff mode.…”

Section: Discussionmentioning

confidence: 93%

Rainfall Runoff and Nitrogen Loss Characteristics on the Miyun Reservoir Slope

Wang,

Jin

et al. 2024

Water

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Rainfall intensity and slope gradient are the main drivers of slope surface runoff and nitrogen loss. To explore the distribution of rainfall runoff and nitrogen loss on the Miyun Reservoir slopes, we used artificial indoor simulated rainfall experiments to determine the distribution characteristics and nitrogen migration paths of surface and subsurface runoff under different rainfall intensities and slope gradients. The initial runoff generation time of subsurface runoff lagged that of surface runoff, and the lag time under different rainfall intensity and slope conditions ranges from 3.97 to 12.62 min. Surface runoff rate increased with increasing rainfall intensity and slope gradient; compared with a rainfall intensity of 40 mm/h, at a slope of 15°, average surface runoff rate at 60 and 80 mm/h increased by 2.38 and 3.60 times, respectively. Meanwhile, the subsurface runoff rate trended upwards with increasing rainfall intensity, in the order 5 > 15 > 10°. It initially increased and then decreased with increasing slope gradient, in the order 5 > 10 > 15°. Total nitrogen (TN) loss concentration of surface runoff shows a decrease followed by a stabilization trend; the concentration of TN loss decreases with decreasing rainfall intensity, and the stabilization time becomes earlier and is most obvious in 5° slope conditions. TN loss concentration in subsurface runoff decreased with increasing rainfall intensity, i.e., 40 > 60 > 80 mm/h. The surface runoff rainfall coefficient was mainly affected by rainfall intensity, a correlation between αs and slope gradients S was not obvious, and the fitting effect was poor. The subsurface runoff rainfall coefficient was mainly affected by slope gradient, the R2 of all rainfall intensities was <0.60, and the fitting effect was poor. The main runoff loss pathway from the Miyun Reservoir slopes was surface runoff, which was more than 62.57%. At the same time, nitrogen loss was subsurface runoff, more than 51.14%. The proportion of surface runoff to total runoff increases with the increase of rainfall intensity and slope, with a minimum of 62.57%, and the proportion of nitrogen loss from subsurface runoff also decreases with increasing rainfall intensity but does not change with slope gradient. The order of different runoff modulus types was mixed runoff (surface and subsurface runoff occur simultaneously) > surface runoff > subsurface runoff. The surface and mixed runoff modulus increased significantly with increasing rain intensity under different rain intensities and slope gradients. Overall, rainfall intensity significantly affected slope surface runoff, and slope gradient significantly affected nitrogen loss.

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Matching and driving mechanism analysis of the supply and demand relationships of soil conservation services in karst peak-cluster depression basin in Southwest Guangxi, China

Li,

Tian,

Wang

et al. 2024

CATENA

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Identifying conservation priority zones and their driving factors regarding regional ecosystem services

Cited by 3 publications

References 65 publications

Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins

Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins

Rainfall Runoff and Nitrogen Loss Characteristics on the Miyun Reservoir Slope

Matching and driving mechanism analysis of the supply and demand relationships of soil conservation services in karst peak-cluster depression basin in Southwest Guangxi, China

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