基于增强回归树的农田总氮流失强度省际差异及其影响因素分析

doi:10.11934/j.issn.1673-4831.2017.12.001

Abstract

Abstract:

The boosting regression tree method was used to analyze provincial variation of TN loss intensity of farmland during 2012-2014 and its affecting factors, of which contribution rates were calculated. Furthermore relationships of the intensity with the factors were analyzed. Results show that the mean loss intensity of the period of 2012-2014 was in the range of 9.40-9.50 kg·hm^-2 in the country. North China, South China, and East China was relatively high, with mean of the three years being 16.51, 15.16 and 14.01 kg·hm^-2, respectively, whereas Northeast China, Southwest China and Northwest China was relatively low with mean being 3.41, 7.02 and 8.18 kg·hm^-2, respectively. Factors affecting the intensity were found including structural, technical and regional ones, of which the contribution rate reached 20.9%, 28.5% and 42.6%, respectively. Obviously, regional factor was the major one and the highest in influencing degree. North China, South China, East China and Central China, where soil N in farmland is more liable to get leached, are the focal points for N loss control. Ratio of cereal crops and vegetable in area, nitrogen fertilization intensity and ratio of effective irrigated farmlands in area were also factors positively affecting the intensity, while multiple cropping index, farming output value per capita, and farmland area per capita were negative factors. It is, therefore, recommended to readjust or optimize agricultural structure, water and fertilizer management and land use in the light of the natural and socio-economic conditions of the region, so as to reduce the loss intensity of soil TN from the farmland.

Key words: farmland, total nitrogen, provincial variation, BRT, influencing factor, contribution rate

CLC Number:

X53
F062.2

WANG Di, WANG Ming-xin, QIAN Zhong-ping, ZHOU Jie, JI Cai-ya. Analysis of Provincial Variation of TN Loss Intensity of Farmland Based on BRT Method and Its Affecting Factors[J]. Journal of Ecology and Rural Environment, 2017, 33(12): 1057-1063.

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Analysis of Provincial Variation of TN Loss Intensity of Farmland Based on BRT Method and Its Affecting Factors

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