中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于BP神经网络和灰色关联度的侧柏人工林土壤肥力评价 山东农业科学 2019 (1) 104-110
Position: Home > Articles > 基于BP神经网络和灰色关联度的侧柏人工林土壤肥力评价 Shandong Agricultural Sciences 2019 (1) 104-110

基于BP神经网络和灰色关联度的侧柏人工林土壤肥力评价

作  者：
吕雷昌;葛忠强;梁燕;李宗泰;杜振宇;王清华
单  位：
山东省林业科学研究院
关键词：
BP神经网络;灰色关联度;土壤肥力;侧柏人工林;鲁中山地
摘  要：
土壤肥力对于诊断森林土壤养分失调和林地土壤退化具有重要意义,可为人工林合理经营提供科学依据.本研究以鲁中山地侧柏人工林样地土壤为材料,采用BP神经网络和灰色关联度对林地土壤肥力进行综合评价,并对这两种方法的应用效果进行对比研究.结果表明,供试林地土壤的粘粒、碱解氮和有效磷含量偏低,速效钾含量整体较为适宜,而阳离子交换量和有机质含量处于较高水平.土壤碱解氮与土壤有机质、阳离子交换量和速效钾之间均存在显著正相关关系,表明土壤氮素对侧柏人工林地土壤肥力有显著影响.评价结果表明,鲁中山地侧柏林地土壤肥力处于中等水平,综合土壤肥力相对较高的样地为位于黑峪林场的22、21号和位于原山林场的9号样地,而燕子山林场土壤肥力较低.BP神经网络和灰色关联度分析的评价结果整体一致,均可用于林地土壤肥力评价.
作  者：
Lü Leichang;Ge Zhongqiang;Liang Yan;Li Zongtai;Du Zhenyu;Wang Qinghua;Shandong Academy of Forestry;
关键词：
BP neural network;;Grey relation analysis;;Soil fertility;;Platycladus orientalis plantation;;Central mountainous area of Shandong Province
摘  要：
Soil fertility is of great significance for diagnosing forest soil nutrient imbalance and forest land soil degradation, and can provide scientific base for rational management of plantation. Taking soil samples from Platycladus orientalis plantation in central mountainous area of Shandong Province as research object, the soil fertility of forest land was comprehensively evaluated by BP neural network and grey relation analysis, and the application effects of the two methods were compared. The results showed that the contents of clay, alkali-hydrolyzed nitrogen and available phosphorus were relatively lower, and available potassium was relatively suitable as a whole, while the cation exchange capacity and organic matter content were relatively higher. Soil alkali-hydrolyzed nitrogen was positively correlated with soil organic matter, cation exchange capacity and available potassium, indicating that soil nitrogen had a significant effect on soil fertility of P. orientalis plantation. The evaluation results showed that the soil fertility of P. orientalis forest land in central mountainous area of Shandong Province was in the middle level. The relatively higher soil fertility of sample plots were No. 22 and No. 21 in Heiyu forest farm and No. 9 in Yuanshan forest farm, while the soil fertility of Yanzishan forest farm was lower. The evaluation results of BP neural network and grey relation analysis were consistent, and both of them could be used to evaluate soil fertility of forest land.

相似文章

导出引用
计量
文章访问数: 7
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46