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当前位置: 首页 > 文章 > 江苏省重点生态公益林涵养水源功能评估研究 江苏林业科技 2014,41 (4) 15-20
Position: Home > Articles > The assessment on water conservation function of the key non-commercial forest in Jiangsu Province Journal of Jiangsu Forestry Science & Technology 2014,41 (4) 15-20

江苏省重点生态公益林涵养水源功能评估研究

作  者：
赵硕;胡海波;马冰
单  位：
南京林业大学南方现代林业协同创新中心
关键词：
涵养水源;重点生态公益林;江苏省
摘  要：
以江苏省森林资源二类调查资料为基础,采用水量平衡法对江苏省重点生态公益林的涵养水源功能进行了评估及分析。结果表明:江苏省重点生态公益林年涵养水源总量为1.485×109m3/a。其中,徐州市、无锡市、南京市是涵养水源量较大的城市;不同区域表现为苏北>苏南>苏中;在不同林分类型中,涵养水源量较大的是杨树、硬阔林类、混交林和竹林。全省重点生态公益林年单位面积涵养水源量为4 936.33 m3/(a·hm2),南通市、镇江市、无锡市分别排在前列;不同区域排序为苏南>苏中>苏北;单位面积涵养水源量较大的林分分别为硬阔林类、混交林、栎类、软阔林类和竹林。
译  名：
The assessment on water conservation function of the key non-commercial forest in Jiangsu Province
作  者：
ZHAO Shuo;HU Hai-bo;MA Bing;Collaborative Innovation Center of the Southern Modern Forestry,Nanjing Forestry University;
关键词：
Water conservation;;Key non-commercial forest;;Jiangsu Province
摘  要：
Based on the data of the second forest resource inventory collected in Jiangsu Province,the water conservation function of the key non-commercial forest in Jiangsu Province was evaluated and analyzed by means of the water balance method. The results showed that the total amount of water conservation was 1. 485 × 109m3/a in the key non-commercial forest in Jiangsu Province. The area with large water conservation functioned by the key non-commercial was confined within Xuzhou,Wuxi and Nanjing. The amount of water conservation was,in descending order,Subei,Sunan and then Suzhong.The forest types with large water conservation function were poplar,hard broadleaf,mixed forest and bamboo. The amount of water conservation was 4 936. 33 m3/(a·hm2) per unit area in the key non-commercial forest in Jiangsu Province. The cities with large amount of water conservation per unit area were Nantong,Zhenjiang and Wuxi. The amount of water conservation per unit area,in descending order,was Sunan,Suzhong and then Subei. The forest types with large amount of water conservation per unit area were hard broadleaf mixed forest,quercus,soft broadleaf forest and bamboo.

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