2019
DOI: 10.5846/stxb201807251586
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Mapping supply and demand differentiation of hydrological regulation service based on matrix analysis:a case study of Jiaxing City,Zhejiang Province

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Cited by 2 publications
(4 citation statements)
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“…Six types of provisioning services including crops, timber, energy, freshwater, biological products, and mineral resources; five types of regulating services including climate regulation, air quality regulation, water purification, erosion regulation, nature disaster regulation, and pollination while six types of cultural services consisting of leisure entertainment, landscape aesthetics, knowledge and education, cultural inheritance, and natural heritage were selected in this study. Then, the ES supply matrix (Figure 3) and demand matrix (Figure 4) were established, of which each key ES was assigned and calculate based on existing findings and expert knowledge (Burkhard et al, 2012;Wu et al, 2018;Liu et al, 2019a;Ji et al, 2020;Peng et al, 2020a;Cao et al, 2021). Finally, the ES supply, demand, and budgets were mapped based on the expert-based matrix and land use data.…”
Section: Expert-based Lucc Matrix For Mapping Es Supply and Demandmentioning
confidence: 99%
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“…Six types of provisioning services including crops, timber, energy, freshwater, biological products, and mineral resources; five types of regulating services including climate regulation, air quality regulation, water purification, erosion regulation, nature disaster regulation, and pollination while six types of cultural services consisting of leisure entertainment, landscape aesthetics, knowledge and education, cultural inheritance, and natural heritage were selected in this study. Then, the ES supply matrix (Figure 3) and demand matrix (Figure 4) were established, of which each key ES was assigned and calculate based on existing findings and expert knowledge (Burkhard et al, 2012;Wu et al, 2018;Liu et al, 2019a;Ji et al, 2020;Peng et al, 2020a;Cao et al, 2021). Finally, the ES supply, demand, and budgets were mapped based on the expert-based matrix and land use data.…”
Section: Expert-based Lucc Matrix For Mapping Es Supply and Demandmentioning
confidence: 99%
“…To date, the methods for quantifying ES supply and demand include land use estimation method (Schroter et al, 2014), ecological process simulation method (Stuerck et al, 2014), spatially overlaying data method (Serna-Chavez et al, 2014) and discriminant method based on expert experience (Cao et al, 2021). Derived from the expert experience, the expert-based Land-Use and Land-Cover Change (LUCC) matrix proposed by Burkhard et al (2012) has been widely used to quantify ES supply and demand in different areas at multiple scales for its simplicity and high efficiency of operation and reliability of results (Bicking et al, 2018;Liu et al, 2019a;Guo et al, 2020). Different land use structures engender different ecological processes, leading to various ecological pattern and changes in the supply of ES (Fu et al, 2013;Wu et al, 2019;Li et al, 2020b).…”
Section: Introductionmentioning
confidence: 99%
“…Among them, studies at the macro-watershed scale usually take the sub-basin as the spatial unit, which is conducive to scientific simulations of regional surface runoff level [1,6], but makes it difficult to reflect the difference in flood susceptibility or risk among micro-spatial units [19]. Micro-urban scale studies, which usually take blocks or land patches as spatial units, are conducive to accurately identifying flood susceptibility [8,15,16,20], but ignore the hydrological regulation mechanism of macroregional ecosystems [5,6], which makes it difficult to accurately calculate the supply capacity of FRES. The supply of FRES is formed by watershed in regional environments [12,21,22].…”
Section: Introductionmentioning
confidence: 99%
“…Thirdly, the application level of the research results for the spatial zoning management of flood risk should be improved. At present, the matrix method [20], value equivalent method [40], spatial autocorrelation method [4] and data space superposition method [41] are usually used to compare the supply and demand of FRES, identify the regions with an imbalance in FRES supply and demand, and divide the intervention zones of flood control projects [8,15]. However, the spatial zoning management of flood risk should not be limited to interventions in flood control projects in urban areas.…”
Section: Introductionmentioning
confidence: 99%