An Evaluation of the Resilience of the Regional Agricultural Water and Soil Resource System in Heilongjiang Province, China

Water and soil resources are fundamental natural resources. Therefore, it is highly important to understand the resilience of regional water and soil resources, the characteristics of which are nonlinear, self-organized and unpredictable. This study used a projection pursuit model based on the firef...

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Veröffentlicht in:Agricultural research (India : Online) 2018-09, Vol.7 (3), p.311-320
Hauptverfasser: Liu, Dong, Mu, Ran, Fu, Qiang, Liu, Chunlei, Li, Tianxiao, Imran, Khan M., Cui, Song, Abrar, Faiz M.
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container_issue 3
container_start_page 311
container_title Agricultural research (India : Online)
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creator Liu, Dong
Mu, Ran
Fu, Qiang
Liu, Chunlei
Li, Tianxiao
Imran, Khan M.
Cui, Song
Abrar, Faiz M.
description Water and soil resources are fundamental natural resources. Therefore, it is highly important to understand the resilience of regional water and soil resources, the characteristics of which are nonlinear, self-organized and unpredictable. This study used a projection pursuit model based on the firefly algorithm (FA-PP) to quantitatively evaluate the water and soil system resilience of 15 farms in the Jiansanjiang administration of Heilongjiang Province, China. The results were compared with the results obtained by the projection pursuit model based on the genetic algorithm (GA-PP), and the validity and feasibility of the FA-PP model were verified. Further analysis revealed that the key factor influencing the resilience of agricultural water and soil resources was the irrigated area. The research results revealed the restoring situation of the local water and soil resource system and provided a foundation for the management of agricultural water and soil resources.
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Therefore, it is highly important to understand the resilience of regional water and soil resources, the characteristics of which are nonlinear, self-organized and unpredictable. This study used a projection pursuit model based on the firefly algorithm (FA-PP) to quantitatively evaluate the water and soil system resilience of 15 farms in the Jiansanjiang administration of Heilongjiang Province, China. The results were compared with the results obtained by the projection pursuit model based on the genetic algorithm (GA-PP), and the validity and feasibility of the FA-PP model were verified. Further analysis revealed that the key factor influencing the resilience of agricultural water and soil resources was the irrigated area. 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subjects Agricultural management
Biodiversity
Biomedical and Life Sciences
Cell Biology
Farms
Feasibility studies
Full-Length Research Article
Genetic algorithms
Heuristic methods
Life Sciences
Natural resource management
Natural resources
Plant Biochemistry
Plant Ecology
Plant Genetics and Genomics
Plant Sciences
Resilience
Resource management
Soil water
Soils
Water resources
title An Evaluation of the Resilience of the Regional Agricultural Water and Soil Resource System in Heilongjiang Province, China
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