Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313201546> ?p ?o ?g. }
- W4313201546 endingPage "101498" @default.
- W4313201546 startingPage "101498" @default.
- W4313201546 abstract "Landscape pattern is vital for supplying ecosystem services, and demonstrating the interactions among landscape dynamics and multiple ecosystem services is a key scientific basis for ecosystem management. As a typical ecologically vulnerable region in China, the Three Gorges Reservoir Area (TGRA) suffers from both severe soil loss and non-point pollution. Although many ecological restoration projects have been implemented to control sediment and pollutants into the reservoir, it is still unclear whether and how reforestation improves both soil retention and water quality. Therefore, we proposed a conceptual framework to couple landscape dynamics and multiple ecosystem services, in which drivers could directly affect two ecosystem services or indirectly affect them by affecting landscape dynamics. Ecological models were applied to assess water purification and soil retention, and spatial analysis tools were adopted to demonstrate their spatial relationship. Structural equation model documented the effect values of the conceptual framework, meanwhile, relative importance analysis reported the contributions of drivers to forest cover, water purification and soil retention. Our results showed that nitrogen loss and soil loss of the TGRA both decreased from 2001 to 2015, indicating an improvement in both water purification and soil retention. However, correlation analysis revealed significant spatial heterogeneity in their relationship, which may partly be explained by the district and county differences in human activities and development policies. Structural equation model documented the correlation coefficient between nitrogen loss and soil retention was −0.71. Relative importance of forest cover to the nitrogen loss was more than 50%, indicating that water purification could mainly be explained by the effect of forest cover on nitrogen loss. Annual precipitation contributed 26.9% to soil retention, and the overall contribution of climate conditions was 52.1%, which indicated the direct and indirect effects of climate conditions are both important for soil retention. Moreover, the landscape plannings of vegetation restoration were suggested for these key ecological zones in the TGRA to synergistically improve two ecosystem services." @default.
- W4313201546 created "2023-01-06" @default.
- W4313201546 creator A5003695143 @default.
- W4313201546 creator A5039407580 @default.
- W4313201546 creator A5041297627 @default.
- W4313201546 creator A5060647238 @default.
- W4313201546 date "2023-02-01" @default.
- W4313201546 modified "2023-09-25" @default.
- W4313201546 title "Linking landscape dynamics to the relationship between water purification and soil retention" @default.
- W4313201546 cites W1533055121 @default.
- W4313201546 cites W1786856418 @default.
- W4313201546 cites W1793886366 @default.
- W4313201546 cites W1985909678 @default.
- W4313201546 cites W1990290495 @default.
- W4313201546 cites W1990752799 @default.
- W4313201546 cites W1994227400 @default.
- W4313201546 cites W2007526772 @default.
- W4313201546 cites W2034868669 @default.
- W4313201546 cites W2044930091 @default.
- W4313201546 cites W2052671470 @default.
- W4313201546 cites W2056161423 @default.
- W4313201546 cites W2140628783 @default.
- W4313201546 cites W2143627031 @default.
- W4313201546 cites W2170805839 @default.
- W4313201546 cites W2299432801 @default.
- W4313201546 cites W2299874748 @default.
- W4313201546 cites W2335763915 @default.
- W4313201546 cites W2340552966 @default.
- W4313201546 cites W2482294652 @default.
- W4313201546 cites W2510322576 @default.
- W4313201546 cites W2517992100 @default.
- W4313201546 cites W2605595963 @default.
- W4313201546 cites W2746512971 @default.
- W4313201546 cites W2763430520 @default.
- W4313201546 cites W2769435755 @default.
- W4313201546 cites W2792681984 @default.
- W4313201546 cites W2801349145 @default.
- W4313201546 cites W2802773808 @default.
- W4313201546 cites W2807446813 @default.
- W4313201546 cites W2808087091 @default.
- W4313201546 cites W2883480116 @default.
- W4313201546 cites W2888686856 @default.
- W4313201546 cites W2894774770 @default.
- W4313201546 cites W2900344675 @default.
- W4313201546 cites W2905450726 @default.
- W4313201546 cites W2909273855 @default.
- W4313201546 cites W2910713456 @default.
- W4313201546 cites W2913545773 @default.
- W4313201546 cites W2916139368 @default.
- W4313201546 cites W2936947503 @default.
- W4313201546 cites W2946360347 @default.
- W4313201546 cites W2946762214 @default.
- W4313201546 cites W2971186428 @default.
- W4313201546 cites W2971884534 @default.
- W4313201546 cites W2985368149 @default.
- W4313201546 cites W2994892952 @default.
- W4313201546 cites W2995453280 @default.
- W4313201546 cites W3005900134 @default.
- W4313201546 cites W3007222069 @default.
- W4313201546 cites W3007821049 @default.
- W4313201546 cites W3015740695 @default.
- W4313201546 cites W3016883410 @default.
- W4313201546 cites W3017980841 @default.
- W4313201546 cites W3021678356 @default.
- W4313201546 cites W3038442089 @default.
- W4313201546 cites W3041953585 @default.
- W4313201546 cites W3088264699 @default.
- W4313201546 cites W3106139261 @default.
- W4313201546 cites W3111230308 @default.
- W4313201546 cites W3157395868 @default.
- W4313201546 cites W3158435183 @default.
- W4313201546 cites W3174303036 @default.
- W4313201546 cites W3207998281 @default.
- W4313201546 cites W3208263949 @default.
- W4313201546 cites W3210646360 @default.
- W4313201546 cites W3212926479 @default.
- W4313201546 cites W3213426859 @default.
- W4313201546 cites W4200507932 @default.
- W4313201546 cites W4213432049 @default.
- W4313201546 cites W4376848368 @default.
- W4313201546 cites W768358393 @default.
- W4313201546 doi "https://doi.org/10.1016/j.ecoser.2022.101498" @default.
- W4313201546 hasPublicationYear "2023" @default.
- W4313201546 type Work @default.
- W4313201546 citedByCount "2" @default.
- W4313201546 countsByYear W43132015462023 @default.
- W4313201546 crossrefType "journal-article" @default.
- W4313201546 hasAuthorship W4313201546A5003695143 @default.
- W4313201546 hasAuthorship W4313201546A5039407580 @default.
- W4313201546 hasAuthorship W4313201546A5041297627 @default.
- W4313201546 hasAuthorship W4313201546A5060647238 @default.
- W4313201546 hasBestOaLocation W43132015461 @default.
- W4313201546 hasConcept C107826830 @default.
- W4313201546 hasConcept C110872660 @default.
- W4313201546 hasConcept C127413603 @default.
- W4313201546 hasConcept C159390177 @default.
- W4313201546 hasConcept C159750122 @default.
- W4313201546 hasConcept C179006392 @default.