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1998~2020年广西国有大桂山林场森林资源动态变化分析
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Abstract:
广西国有大桂山林场是广西林地面积最大的国有林场之一。为全面掌握大桂山林场森林资源动态变化情况,促进林场森林资源高质量可持续发展,基于1998~2020年大桂山林场森林资源规划设计调查报告数据,对林场林业用地、森林面积、森林蓄积、森林覆盖率、林地利用率、单位面积蓄积量、森林生长量、森林消耗量等40多项指标进行统计分析,结果表明,森林面积从26925.1 hm2增加到35082.25 hm2,森林蓄积从130.12万m3增长到343.63万m3,森林覆盖率从74.9%上升到89.02%,单位面积年均生长量从3.4 m3/hm2上升到11.0 m3/hm2,单位面积平均蓄积量从44.6 m3/hm2上升到100.9 m3/hm2。采用层次分析法从森林起源、森林结构、森林产能、森林健康、森林价值等5方面37项指标对森林质量进行评价分析,结果表明,1998~2020年大桂山林场森林质量从及格等级上升到良好等级。同时,筛选出制约森林质量提升关键评价指标5项。为促进林场森林资源高质量发展,提出了提升森林质量的意见建议。
Guangxi State-owned Daguishan Forest Farm is one of the largest forest farms in Guangxi. In order to comprehensively grasp the dynamic changes in forest resources in Daguishan Forest Farm and promote the high-quality and sustainable development of forest resources, based on the survey report data of forest resource planning and design in Daguishan Forest Farm from 1998 to 2020, more than 40 indicators including woodland area, forest area, forest stock volume, forest covering rate, forest land utilization rate, unit area stock volume, forest growth, and forest consumption were statistically analyzed. The results were as follows: Forest area reached 35082.25 hm2 from 26925.1 hm2; forest stock volume increased 343.63 million m3 from 130.12 million m3; forest covering rate increased 89.02% from 74.9%; forest growth of per unit woodland increased 11.0 m3/hm2 from 3.4 m3/hm2; forest stock volume of per unit woodland increased 100.9 m3/hm2 from 44.6 m3/hm2. The Analytic Hierarchy Process (AHP) was used to evaluate and analyze forest quality from five aspects, including forest origin, forest structure, forest productivity, forest health, and forest value, using 37 indicators. The results showed that from 1998 to 2020, the forest quality of Daguishan Forest Farm increased from a passing level to a good level. At the same time, 5 key evaluation indicators that constrain the improvement of forest quality were selected. To promote the high-quality development of forest resources in this forest farm, suggestions have been put forward to improve forest quality.
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