Improving Environmental Water Supply in Wetlands through Optimal Cropping Patterns

Sedighkia, Mahdi, and Datta, Bithin (2023) Improving Environmental Water Supply in Wetlands through Optimal Cropping Patterns. Agriculture, 13 (10). 1942.

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Abstract

This study improves the environmental water supply in a wetland using a novel framework in which the environmental impacts due to irrigation supply and the economic losses for agriculture are minimized through the proposal of an optimal cropping pattern that changes the total cropping area and cultivated area of each crop. The ecological degradation functions for rivers and wetlands were developed using a fuzzy approach and data-driven model. The net farming revenue was considered as the economic index to maximize benefits. The root mean square error (RMSE) and the Nash–Sutcliffe model efficiency coefficient (NSE) were applied to evaluate ecological models. According to the results, the optimal cropping pattern simultaneously minimizes environmental impacts due to irrigation supply and maximizes farmers’ benefits. The optimal cropping pattern provides more than 50% of the ideal net revenue on the catchment scale, which means that ecological degradations due to reductions in inflow in rivers and wetlands, as well as farmers’ revenue losses, are minimized simultaneously. Furthermore, the results indicate that cropping patterns should be dynamic, which means that changing the cropping pattern annually based on the available water is essential to mitigating ecological impacts. This study demonstrates that the linking of cropping pattern optimization and environmental flow simulation in freshwater bodies should be considered in land-use policies due to the impact of cropping patterns on environmental degradation in wetland catchments.

Item ID: 81074
Item Type: Article (Research - C1)
ISSN: 2077-0472
Keywords: data-driven model, economic losses, optimal agricultural land use, physical habitat simulation, wetland ecosystems
Copyright Information: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Date Deposited: 29 Feb 2024 01:45
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300201 Agricultural hydrology @ 50%
40 ENGINEERING > 4005 Civil engineering > 400513 Water resources engineering @ 50%
SEO Codes: 26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 2601 Environmentally sustainable plant production > 260104 Management of water consumption by plant production @ 100%
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