Contribution analysis on spatial tradeoff/synergy of Karst soil conservation and water retention for various geomorphological types: Geographical detector application

Gao, Jiangbo; Jiang, Yuan; Anker, Yaakov

doi:10.1016/j.ecolind.2021.107470

Cited by 43 publications

(13 citation statements)

References 48 publications

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“…Given that water resources are not only related to the sustainable development of the regional ecosystem but also an important guarantee for the livelihood of the basin’s residents, many articles have suggested that ecological restoration strategies of large-scale afforestation should be modified [ 46 , 47 ]. Identifying the balancing point between the suppression of soil erosion upstream through ecological engineering and ensuring water security in the middle and downstream areas should be the key topic of follow-up research [ 48 , 49 ]. Moreover, studies have shown that the increase in the net primary productivity of vegetation due to vegetation restoration has a threshold effect [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Yin

Zhang

2022

IJERPH

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Land use/land cover (LULC) and climate change are major driving forces that impact ecosystem services and affect human well-being directly and indirectly. Under the future interaction between LULC and climate change, the impact of different land management and climate change scenarios on water-related services is uncertain. Based on this, the CLUMondo model, which focuses on land use intensity, was used to simulate the land system under different land management scenarios in the future. By coupling the downscaled climate scenario data, this study used the InVEST and RUSLE models to estimate the annual water yield and soil erosion in 2050 in the Hengduan Mountain region and analyzed the variation differences in different sub-watersheds. The results indicated that, under the influence of LULC and climate change, when compared with the amount for 2020, the soil erosion in the Hengduan Mountain region in 2050 was reduced by 1.83, 3.40, and 2.91% under the TREND scenario, FOREST scenario, and CONSERVATION scenario, respectively, while the water yield decreased by 5.05, 5.37, and 5.21%, respectively. Moreover, the change in soil erosion in the study area was affected by precipitation and closely related to the precipitation intensity, and the impact of climate change on the water yield was significantly greater than that of LULC change. The spatial heterogeneity of soil erosion and water yield was obvious at the sub-watershed scale. In the future, soil erosion control should be strengthened in the northern regions, while water resource monitoring and early warning should be emphasized in the central-eastern regions. Our results provide scientific guidance for policy makers to formulate better LULC policies to achieve regional water and soil balance and sustainable management.

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Section: Discussionmentioning

confidence: 99%

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Yin

Zhang

2022

IJERPH

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“…These projects include returning the grain plots to forestry, projects concerning pastoral areas, animal husbandry and herdsmen, natural forest resources protection, and western development strategy. The ecosystem and variables are not independent of each other; on the contrary, they show a complex interaction [13]. Under the joint effects of human activities and the natural ecological environment, the single factor detection with the geographical detector shows that among various influence factors, the temperatures, PCEs, and elevations in different seasons are the main explanatory variables for the spatial stratified heterogeneity of agricultural droughts.…”

Section: Discussionmentioning

confidence: 99%

“…The core idea is that if an independent variable has an important impact on a dependent variable, they are similar in spatial distribution. Therefore, the geographical detector can be used to find the dominant spatial driver of a certain element [13]. It can be classified as single factor detection, interactive detection, ecological detection, and risk area detection.…”

Section: Geographical Detectormentioning

confidence: 99%

“…The PCE, Ta, NDVI, GDP, and POP were used for geographical detector based analysis in Subregion II. A factor detector was used to quantitatively identify dominant factors of the synergistic relationship between ecosystem variables and agricultural droughts in different seasons [13], so as to test the spatial stratified heterogeneity of single variables.…”

Section: Attribution Analysis Of Single Dominant Factorsmentioning

confidence: 99%

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Characteristics of Agricultural Droughts and Spatial Stratified Heterogeneity and Dependence of Dominant Factors in Inner Mongolia Autonomous Region, China

et al. 2021

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Droughts have significantly damaged the environment of the Inner Mongolia Autonomous Region, China. In this study, the region was divided into two subregions. Soil moisture was used as the basic parameter to analyze the characteristics of agricultural droughts. Based on a geographical detector, the spatial stratified heterogeneity in different seasons was discussed. Moreover, the copula joint functions of characteristics and dominant factors of agricultural droughts were constructed. Based on the Soil Moisture Anomaly Percentage Index (SMAPI), the results demonstrate that the climate tendency rate of droughts in the summer and in spring in Subregion I shows an increasing trend, while it decreases in the autumn and winter. In Subregion II, the climate tendency rate of droughts in different seasons has no significant change. Through geographical detection, the single factor detection illustrates that temperature and Precipitation Conversion Efficiency (PCE) show the highest explanatory power in different subregions. The interactive detection also demonstrates the explanatory powers of the combination of the PCE and temperature, respectively. The t-copula function describes the correlation coefficients of the SMAPI with the PCE and temperature, with the optimal tail dependence. In short, agricultural droughts are most significantly affected by temperature and the PCE, and their balance has a significant impact on agricultural droughts.

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“…In this study, the critical ESs were quantified using the integrated ES index in 2000, 2005, 2015 and 2018., which is more accurate than the results of the best-effort land use type (ecosystem service type) assessment system using the equivalence factor method, reflecting the richness of information inherent in ESs at the spatial and temporal scales due to natural factors [68,69]. During the course of overall ESs change in the BTH, ESs first improved during the 2000-2015 period and declined during the 2015-2018 period.…”

Section: Es Spatiotemporal Evolutionmentioning

confidence: 98%

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Wang

Zha

et al. 2022

Sustainability

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Urban agglomerations have become the new spatial unit of global economic competition. The intense socioeconomic activities attributed to the development of urban agglomerations are bound to cause damage to the ecosystem services of these urban agglomerations. This study adopts the Beijing-Tianjin-Hebei urban agglomeration in China as the research object, analyzes the spatiotemporal evolution of its critical ecosystem service capacity to address regional ++-development risks from 2000–2018, and employs the Moran’s I and geographically weighted regression model to explore the spatial correlation and spatial heterogeneity in the responses of urbanization and ecosystem services. The study indicates that (1) from 2000–2018, the ecosystem services of the Beijing-Tianjin-Hebei urban agglomeration exhibit an increase and then a decline, reaching the highest index in 2015; (2) the ecosystem services reveal obvious spatial heterogeneity with the Yan and Taihang Mountains region as the boundary; (3) built-up area ratio, GDP density, and population density exhibit highly obvious negative correlation driving characteristics on ecosystem services; and (4) the construction land ratio exerts a notable impact on areas with a high ecosystem services, while the spatial response of the effect magnitude of the population and GDP densities is largely influenced by intensive, high-pollution and energy-consuming industries. This article also proposes strategies for the optimization of ecological resources and spatial control, which are dedicated to mitigating the negative impacts of rapid urbanization processes on ecosystem services.

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Contribution analysis on spatial tradeoff/synergy of Karst soil conservation and water retention for various geomorphological types: Geographical detector application

Cited by 43 publications

References 48 publications

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Characteristics of Agricultural Droughts and Spatial Stratified Heterogeneity and Dependence of Dominant Factors in Inner Mongolia Autonomous Region, China

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

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