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[1]YANG Renhao,YANG Qingyuan,ZENG Li,et al.Evaluation on Ecological Security and Analysis of Influence Factors of Rural Land Based on BP-ANN Model —A Case Study of Fengdu County in Chongqing[J].Research of Soil and Water Conservation,2017,24(03):206-213.

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Evaluation on Ecological Security and Analysis of Influence Factors of Rural Land Based on BP-ANN Model —A Case Study of Fengdu County in Chongqing

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 03 Page number: 206-213 Column: Public date: 2017-06-28

Title:: Evaluation on Ecological Security and Analysis of Influence Factors of Rural Land Based on BP-ANN Model —A Case Study of Fengdu County in Chongqing

Author(s):: YANG Renhao, YANG Qingyuan, ZENG Li, CHEN Yiduo; School of Geographical Science, Southwest University, Chongqing 400715, China

Keywords:: land ecological security; evaluation; BP-ANN model; rural land; Fengdu County

CLC:: F301.24

DOI:: -

Abstract:: Aiming at ecological sensitive characteristic of rural land and the real regional situation in Fengdu County, a comprehensive assessment model of rural land ecological security based on Back-Propagation Artificial Neural Network (BP-ANN) was set up, which contained 15 cryptic layer nodes and 3 layers. The 70% of 200 samples which randomly selected from 317 samples in 2013 were chosen as the training samples, and the 30% of 200 samples were regarded as examining samples. We tested the 117 test samples using this model, evaluated the rural land ecological security of Fengdu County in 2014, and analyzed its spatial distribution, finally extracted the main factors that affected the rural land ecological security with factor analysis and multiple linear regression. The results showed that: (1) the test samples with the relative error less than 5% of all the 117 test samples accounted for 98.21%, which indicated that the accuracy of BP-ANN model is good; (2) the score of rural land ecological security of Fengdu County in 2014 ranged from 40.47 to 55.73, with a mean value of 49.19; the Global Morans’ I index of rural land ecological security was 0.34, and the space was the autocorrelation; the rural land ecological security status of the northwest region was better than the southeast region; (3) factors influencing the rural land ecological security situation in Fengdu County can be sorted as: biomass and vegetation, soil, landscape diversity, ecological construction and development coordination degree, rainfall, water area. BP-ANN model can partly overcome the error caused by the subjective judgment in the traditional evaluation process, and the accurate evaluation results can also provide guidance to the regional land ecological protection.

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