Trade-off/synergistic changes in ecosystem services and geographical detection of its driving factors in typical karst areas in southern China

Li, Yue; Luo, Hongfen

doi:10.1016/j.ecolind.2023.110811

Cited by 32 publications

(10 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research results show that the eco-environment of the two is highly similar, with forests as the main body and other types of land use coexisting. The regulating service products have the optimal EPV, and forests are an important factor affecting the EPV, consistent with the conclusions of similar studies [58][59][60]. This indicates that regulating service products is the focus of EPV realization in the two study areas.…”

Section: Total Value Of Ecological Productssupporting

confidence: 88%

“…Secondly, a combination of government and market contributes to carrying out transactions based on ecological resource rights and interests, building protective market-coordination mechanisms in areas such as water-rights trading and carbon-sink trading. In summary, the future spatial pattern of EPV realization in the karst NR needs to be tailored to local conditions [59] to maximize eco-products' advantages.…”

Section: Implementation Models and Paths Of Ecological Product Valuementioning

confidence: 99%

See 1 more Smart Citation

Spatial Pattern of Ecosystem Services and the Mechanism of Eco-Industry Formation in South China Karst Nature Reserves

Zhang,

Rong,

Xiong

et al. 2024

Forests

View full text Add to dashboard Cite

Karst nature reserve (NR) ecosystems are vulnerable, and the development of regulatory and cultural services industries is still in its infancy. Realization of ecological product value (EPV) is a crucial way to promote the integration of eco-protection and industrial development in nature reserves (NRs). This study calculates EPV using a modified equivalent factor, analyzes the spatial pattern of EPV using the fishnet tool in Arc GIS, and constructs a model for realizing EPV. Finally, the driving factors for the formation of eco-industry are identified using the grey correlation analysis (GCA) method. The results show that (1) the regulatory service products in karst NRs play a decisive role in EPV, and forest ecosystems have significant EPV potential; (2) high-value grids are concentrated in the core and buffer zones of karst NRs and the spatial distribution of EPV in the experimental zone is highly heterogeneous, with high and low-value grids in mixed distribution; (3) the realization model of EPV in karst NRs follows the logic of “preservation, transformation, and appreciation”; (4) human resources (0.813), ecology (0.798), industry (0.693), policy (0.783), the market (0.778), and economy (0.715) are essential drivers for the formation of eco-industry in karst NRs. Overall, karst NRs can promote the realization of EPV through planning and regulation of land use, based on the interaction between internal and external factors, to promote the coordinated development of eco-industry in karst NRs. This study provides a reference for the scientific management of eco-resources and the sustainable development of eco-industry in karst NRs.

show abstract

Section: Total Value Of Ecological Productssupporting

confidence: 88%

Section: Implementation Models and Paths Of Ecological Product Valuementioning

confidence: 99%

Spatial Pattern of Ecosystem Services and the Mechanism of Eco-Industry Formation in South China Karst Nature Reserves

Zhang,

Rong,

Xiong

et al. 2024

Forests

View full text Add to dashboard Cite

show abstract

“…This study aims to guide future ecosystem management and promote regional ecological and economic balance by developing a trade-off/synergistic relationship assessment and zoning identification modeling framework (EST-EMZ) of the CZTMA. The results under different scenarios indicated significant heterogeneity in the ecological system tradeoff/synergy of the CZTMA over time and space [53]. As urban land expansion occurs, the trade-off relationships among ecosystem services become increasingly prominent.…”

Section: The Response Of Ecosystem Service Trade-offs/synergies To La...mentioning

confidence: 98%

Assessment and Management Zoning of Ecosystem Service Trade-Off/Synergy Based on the Social–Ecological Balance: A Case of the Chang-Zhu-Tan Metropolitan Area

Liang,

Yang,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

Clarifying the trade-offs/synergies of ecosystem services is crucial for achieving a win-win situation in economic development and ecological conservation. Past studies have lacked research on ecosystem service functional management zones that integrate socio-economic factors and ecological conservation, particularly based on predictive scenarios. Based on the above, this study innovatively established a multi scenario simulation model and framework (EST-EMZ) for the study of ecosystem service (ES) trade-off/synergy and ecological management zoning, combining remote sensing and socio-economic data from 2000 to 2020 in the Chang-Zhu-Tan Metropolitan Area (CZTMA). The model evaluates the dynamic trade-offs/synergies among different ecosystem services under various scenarios, aiming to seek the optimal management approach for enhancing the functionality and optimizing the structure of ESs in the future of the CZTMA. The results indicate the following: (1) From 2000 to 2020, the Ecosystem Service Value (ESV) of the CZTMA gradually declined from 601.57 billion yuan to 584.65 billion yuan. Under the three future scenarios, the ESV also decreased, with the Ecological Conservation Scenario (ECS) experiencing the most minor decline, and the Economic Priority Scenario (EPS) witnessing the most substantial decrease. (2) In the historical period and the 2030 predicted scenarios, there is a predominant synergy among paired ESs in the CZTMA. Throughout the study period, the region’s dominant ecosystem service bundle (ESB) is the high-service ecological regulation bundle, primarily located in the northeastern, western, and southern areas dominated by forests. (3) Based on ESV and urbanization intensity (UI), five different ecosystem management zones were identified: water balance zone (WBZ), coordinated improvement zone (CIZ), ecologically weak zone (EWZ), ecological conservation zone (ECZ), and ecological derivative zone (EDZ). Corresponding management and protection strategies for ecosystem services were proposed. The research findings offer potential solutions for optimizing land use and managing the trade-offs of ESs in metropolitan areas.

show abstract

“…Understanding the spatial heterogeneity of the trade-offs and synergies between ESs is essential for achieving a refined ecosystem management [44]. Then, correlation analysis based on grid cells combines spatial analysis methods and better represents the spatial relationships among ESs regarding trade-offs and synergies [37,45]. Furthermore, the trade-offs and synergies among ESs depend on the spatiotemporal scale [46].…”

Section: Introductionmentioning

confidence: 99%

“…Most of the studies that have used the GWR model to investigate the factors affecting the spatial heterogeneity of variables have been statistical analyses of the correlations between variables and their effects, having lacked direct quantitative explorations of the relationships and ignoring the interactions between the factors [54]. GeoDetector, a spatial analysis method, adeptly identifies spatial variations and uncovers causal drivers, enabling the assessment of individual spatial variances and the interrelation of spatial patterns between two variables, thus facilitating the exploration of potential causal links between them [45,55]. It has been widely used to analyze the drivers of ESs, urban expansion, population distribution, vegetation change, extreme events, etc.…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

Trade-off/synergistic changes in ecosystem services and geographical detection of its driving factors in typical karst areas in southern China

Cited by 32 publications

References 30 publications

Spatial Pattern of Ecosystem Services and the Mechanism of Eco-Industry Formation in South China Karst Nature Reserves

Spatial Pattern of Ecosystem Services and the Mechanism of Eco-Industry Formation in South China Karst Nature Reserves

Assessment and Management Zoning of Ecosystem Service Trade-Off/Synergy Based on the Social–Ecological Balance: A Case of the Chang-Zhu-Tan Metropolitan Area

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

Contact Info

Product

Resources

About