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甘肃省庆阳市合水县1996年二类调查森林资源统计数据人工林及四旁树统计表(经济林)

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国家林业和草原科学数据中心2006-06-01 更新2024-03-06 收录
下载链接:
https://www.forestdata.cn/dataDetail.html?id=CSTR:17575.11.0120180601193.020001.V1
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资源简介:
本数据记录了甘肃省庆阳市合水县森林资源统计数据中人工林及四旁树统计表(经济林)的林种、优势树种、面积合计、株数合计、国有面积、国有株数、集体面积、集体株数、个人面积、个人株数、未成造面积合计、未成造面积国有、未成造面积集体、未成造面积个人、四旁树经济林株数合计、四旁树经济林株数国有、四旁树经济林株数集体、四旁树经济林株数个人等记录。森林资源统计数据在林业科学研究和森林资源管理中十分重要的数据,包括不同森林类型的空间分布状况、面积大小,行政区划及区划代码等信息。森林资源统计数据包括国家级、省级、县级及林场等级别。目前的森林资源统计数据很多是由二类调查资料或一类清查数据获得的,是在林业生产中十分重要的统计资料。

This dataset records entries including forest category, dominant tree species, total area, total number of trees, state-owned area, state-owned number of trees, collective-owned area, collective-owned number of trees, private-owned area, private-owned number of trees, total area of unestablished afforestation, state-owned unestablished afforestation area, collective unestablished afforestation area, private unestablished afforestation area, total number of economic four-side trees, state-owned number of economic four-side trees, collective-owned number of economic four-side trees, and private-owned number of economic four-side trees from the statistical table of planted forests and four-side trees (economic forests) in the forest resource statistics of Heshui County, Qingyang City, Gansu Province. Forest resource statistical data is critical for forestry scientific research and forest resource management, containing information such as the spatial distribution of different forest types, their respective areas, administrative divisions and their division codes. Such data covers multiple levels including national, provincial, county-level and forest farm levels. At present, most forest resource statistical data are derived from second-class forest inventory or first-class national forest inventory data, which serve as highly important statistical materials for forestry production.
提供机构:
国家林业和草原科学数据中心
创建时间:
2006-06-01
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是甘肃省庆阳市合水县1996年二类调查森林资源统计数据的一部分,专注于人工林及四旁树的经济林统计,包含林种、优势树种、面积、株数等18列、160行的表格数据。数据来源于纸质统计资料的规范化录入和整理加工,具有较高的完整性和准确性,适用于林业科学研究和森林资源管理分析。
以上内容由遇见数据集搜集并总结生成
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