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• W4200301632 endingPage "e01975" @default.
• W4200301632 startingPage "e01975" @default.
• W4200301632 abstract "The contradiction between economic development and water pollution is ever so obvious in most agricultural watersheds in China. The continuous popularization of commercial crops in hills, especially tea, has intensified water eutrophication, which has attracted close attention of the Chinese government. Under this circumstance, local authorities have proposed the returning of tea plantations to forests, which would distinctly inhibit the development of rural economics. Hence, we employed a calibrated SWAT model to determine the total nitrogen/total phosphorus (TN/TP) loads in the reservoir, nutrient contribution of each land use type, and landscape pattern in a representative agricultural watershed. Aimed at the synchronous development of the economy and environment, this research study investigated the correlation between landscape pattern and nutrient output to accordingly propose alternative management strategies based on the correlation and actual watershed situation. Correlation analysis suggested that the landscape pattern prominently affects nutrient output in farmlands, tea plantations, orchards, and grasslands, and that the impact varies with the land use types and landscape parameters. Furthermore, a stepwise multiple regression model revealed that the landscape pattern could effectively predict nutrient output in farmlands, tea plantations, orchards, and grasslands. The aggregation index ( AI ) ( R 2 = 0.996, p < 0.05) and contiguity index ( CONTIG ) ( R 2 = 0.963, p < 0.01) are the primary landscape drivers for the export of TN and TP in farmlands, respectively, and the percentage of landscape ( PLAND ) is the key driver for TN loss in tea plantations ( R 2 = 0.841, p < 0.05). The fractal dimension index ( FRAC ) is the pivotal driver both for TN ( R 2 = 0.969, p < 0.01) and TP ( R 2 = 0.845, p < 0.05) export from orchards. According to the actual watershed situation and the relationship between nutrient output and landscape pattern, six alternative management strategies were performed: planting tea along contour lines (S1), constructing filter strips downstream tea plantations and orchards (S2), changing the shape of orchards (S3), controlling the nutrient emissions of residential areas (S4), returning farmlands to forests (S5), and a combination of S1-S5 (S6). All these measures are superior to the current government strategy (returning tea plantations around reservoirs to forests) in terms of both cutting down reservoir nutrient loads and reducing economic loss. Among them, S6 is the optimal strategy; using this, TN and TP loads are expected to be reduced by 51.64% and 58.96%, respectively, compared with those in 2019, and the economic loss will be far lower than that upon implementation of the current government strategy. This study has provided detailed suggestions for watersheds plagued by the contradiction between agricultural economic development and water pollution. • Correlation between TN/TP output and landscape pattern indices varies with land use types. • Optimal land management strategies were proposed based on landscape pattern and watershed sustainable development. • Optimal strategy can reduce reservoir TN/TP loads by 50% with much lower economic loss than current government strategy." @default.
• W4200301632 created "2021-12-31" @default.
• W4200301632 creator A5007926926 @default.
• W4200301632 creator A5038851564 @default.
• W4200301632 creator A5046395235 @default.
• W4200301632 creator A5050515246 @default.
• W4200301632 date "2021-12-01" @default.
• W4200301632 modified "2023-10-16" @default.
• W4200301632 title "Optimizing land use systems of an agricultural watershed in China to meet ecological and economic requirements for future sustainability" @default.
• W4200301632 cites W1963492615 @default.
• W4200301632 cites W1964228000 @default.
• W4200301632 cites W1967467713 @default.
• W4200301632 cites W1976776861 @default.
• W4200301632 cites W1983886571 @default.
• W4200301632 cites W1997381883 @default.
• W4200301632 cites W2005494775 @default.
• W4200301632 cites W2006294619 @default.
• W4200301632 cites W2023573551 @default.
• W4200301632 cites W2023877532 @default.
• W4200301632 cites W2028823711 @default.
• W4200301632 cites W2037511922 @default.
• W4200301632 cites W2040846388 @default.
• W4200301632 cites W2043925875 @default.
• W4200301632 cites W2052987943 @default.
• W4200301632 cites W2059646894 @default.
• W4200301632 cites W2066506232 @default.
• W4200301632 cites W2068931955 @default.
• W4200301632 cites W2070065058 @default.
• W4200301632 cites W2077778972 @default.
• W4200301632 cites W2079541225 @default.
• W4200301632 cites W2083232214 @default.
• W4200301632 cites W2086813285 @default.
• W4200301632 cites W2105497959 @default.
• W4200301632 cites W2155235180 @default.
• W4200301632 cites W2164969250 @default.
• W4200301632 cites W2291239401 @default.
• W4200301632 cites W2307506234 @default.
• W4200301632 cites W2343867406 @default.
• W4200301632 cites W2405876977 @default.
• W4200301632 cites W2507751124 @default.
• W4200301632 cites W2510322576 @default.
• W4200301632 cites W2529988026 @default.
• W4200301632 cites W2553813205 @default.
• W4200301632 cites W2587455127 @default.
• W4200301632 cites W2612056548 @default.
• W4200301632 cites W2766064604 @default.
• W4200301632 cites W2770060225 @default.
• W4200301632 cites W2780464862 @default.
• W4200301632 cites W2781261378 @default.
• W4200301632 cites W2783126864 @default.
• W4200301632 cites W2794614422 @default.
• W4200301632 cites W2795011292 @default.
• W4200301632 cites W2795256965 @default.
• W4200301632 cites W2803985255 @default.
• W4200301632 cites W2809737087 @default.
• W4200301632 cites W2883165420 @default.
• W4200301632 cites W2886588511 @default.
• W4200301632 cites W2891280214 @default.
• W4200301632 cites W2899396343 @default.
• W4200301632 cites W2912038500 @default.
• W4200301632 cites W2914218579 @default.
• W4200301632 cites W2918725202 @default.
• W4200301632 cites W2921990746 @default.
• W4200301632 cites W2922549099 @default.
• W4200301632 cites W2930633716 @default.
• W4200301632 cites W2938025916 @default.
• W4200301632 cites W2938324858 @default.
• W4200301632 cites W2950411148 @default.
• W4200301632 cites W2963703290 @default.
• W4200301632 cites W2970399294 @default.
• W4200301632 cites W2995167551 @default.
• W4200301632 cites W2995867273 @default.
• W4200301632 cites W2995927230 @default.
• W4200301632 cites W2996702059 @default.
• W4200301632 cites W2998219330 @default.
• W4200301632 cites W3000535927 @default.
• W4200301632 cites W3009522777 @default.
• W4200301632 cites W3009864322 @default.
• W4200301632 cites W3017268536 @default.
• W4200301632 cites W3026054639 @default.
• W4200301632 cites W3027508206 @default.
• W4200301632 cites W3032385319 @default.
• W4200301632 cites W3033804472 @default.
• W4200301632 cites W3037127451 @default.
• W4200301632 cites W3041842876 @default.
• W4200301632 cites W3041953585 @default.
• W4200301632 cites W3045678722 @default.
• W4200301632 cites W3046997362 @default.
• W4200301632 cites W3081453206 @default.
• W4200301632 cites W3082659428 @default.
• W4200301632 cites W3084124758 @default.
• W4200301632 cites W3085028672 @default.
• W4200301632 cites W796895397 @default.
• W4200301632 doi "https://doi.org/10.1016/j.gecco.2021.e01975" @default.
• W4200301632 hasPublicationYear "2021" @default.
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