首页|南方红壤丘陵区流域景观格局与水土流失的关系

南方红壤丘陵区流域景观格局与水土流失的关系

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以福建省晋江西溪流域为试验区,在分析景观格局与水土流失强度关系的基础上,通过BP模型构建两者的非线性映射关系,模拟优化景观格局后的水土流失情况.结果表明:(1)该流域水土流失主要发生在茶园景观和裸地景观;景观面积类型、斑块数量、加权面积的平均形状指和平均分维数与水土流面积呈正相关,景观连接度与水土流失呈负相关,平均斑块大小、多样性指数、散布与并列指数与水土流失不显著相关.(2)景观格局与水土流失面积间存在精度较高的BP映射关系,误差绝对值小于5%.(3)应用BP模型优化茶园与裸地的景观格局,预测水土流失面积下降14.14%.
The relationship between landscape pattern and water and soil erosion in hilly red soil region in South China
To prevent and control water and soil erosion in hilly red soil region of South China, landscape pattern indexes dominantly influencing erosion area were extracted by analyzing DEM datasets of Anxi County, then a nonlinear mapping relation between land-scape pattern indexes and erosion area was established by back propagation(BP) model. Finally, new erosion area was simulated by the model with adjusted landscape pattern indexes. The results showed that soil and water erosion mainly occurred at tea plantation and bare field in Xixi River Basin. Indexes including class area ( CA) , number of patches, area-weighted mean shape index and patch fractal dimension were positively correlated with erosion area while landscape connectivity was negatively correlated. The abso-lute value of relative error of mapping relation between erosion area and landscape pattern was less than 5%, indicating a high preci-sion of the BP model. The stimulated erosion area was dropped by 14.14% with adjusted LSI of tea plantation and CA of bare field. To summarize, BP model based on landscape pattern indexes was applicable to indicate and control erosion in hilly red soil region of South China.

landscape pattern indexwater and soil erosionback propagation neural networkhilly red soil region in South China

杨秋华、黄炎和、范胜龙、林金石、季翔

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福建农林大学资源与环境学院,福建 福州350002

景观格局指数 水土流失 BP神经网络 南方红壤丘陵区

国家自然科学基金国家科技支撑计划项目福建省教育厅社科项目

416015572014BAD15B0303JAS160171

2017

福建农林大学学报(自然科学版)
福建农林大学

福建农林大学学报(自然科学版)

CSTPCDCSCD北大核心
影响因子:0.582
ISSN:1671-5470
年,卷(期):2017.46(3)
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