Forest and Grassland Resources Research >
Analysis and Research on the Docking Scheme of Forest Stock Data Between Continuous Inventory of Forest Resources and Forest Resource Planning and Design Investigation
Received date: 2023-07-28
Revised date: 2023-09-01
Online published: 2023-12-20
Because of the different purposes and methods of the two monitoring systems,namely the continuous forest resources inventory and forest management inventory,the data of forest resources obtained by the two monitoring systems are inconsistent.In view of this,this paper took Baoding City as an example to carry out analysis and research on the docking scheme of forest stock data between continuous forest resources inventory and forest management inventory.In order to obtain the forest stock information of each county(city and district)in Baoding city,thesubcompartment stock volume prediction model was constructed by using nonlinear index model and tree species groups.The adjustment method was adopted to realize the connection between the continuous inventory of forest resources and the monitoring value of the forest resources planning and design investigation.The results showed as follows:1)the evaluation indexes of the subcompartment stock volume prediction model developed based on tree species groups all performed well,indicating that the model had good prediction ability;2)Compared with the forest management inventory,the forest stockper unit(34.98 m3/hm2)of Baoding City monitored by the subcompartment stock volume prediction modelshowed an accuracy of 91.06% with the monitoring valueof thecontinuous forest resource inventory stock,which greatly reduced the relative error,indicating the reliability of the monitoring value of the subcompartment stock volume prediction model;3)After further adjustment of the model prediction,the connection between the continuous forest resources inventory and forest management inventory was finally realized,indicating the feasibility of the research scheme.The technical scheme studied in this paper can provide technical reference for updating the monitoring data of subcompartment stock volumein all provinces over the years and realizing "one set of data,one piece of map" in the future.
Xingwen BAI , Sheng HU , Rigude BU , Fan YANG . Analysis and Research on the Docking Scheme of Forest Stock Data Between Continuous Inventory of Forest Resources and Forest Resource Planning and Design Investigation[J]. Forest and Grassland Resources Research, 2023 , 0(5) : 142 -147 . DOI: 10.13466/j.cnki.lczyyj.2023.05.017
| [1] | 李云霄. 基于多阶抽样的林地蓄积量估测方法研究[D]. 北京: 北京林业大学, 2015. |
| [2] | 胡杨. 森林蓄积量调查估测方法研究[D]. 北京: 北京林业大学, 2020. |
| [3] | 邓成, 梁志斌. 国内外森林资源调查对比分析[J]. 林业资源管理, 2012(5):12-17. |
| [4] | 陶吉兴, 张国江, 季碧勇, 等. 杭州市森林资源市县联动年度化监测的探索与实践[J]. 林业资源管理, 2014(4):14-18. |
| [5] | 孟源源. 基于遥感大样地的森林资源一类调查面积估计理论研究[D]. 浙江: 浙江农林大学, 2017. |
| [6] | 吴恒, 胥辉. 基于综合监测体系的森林样地抽样方案比较研究[J]. 林业资源管理, 2022(3):48-53. |
| [7] | 涂云燕, 张成程. 森林资源连续清查体系改进建议[J]. 山东林业科技, 2015, 45(1):113-116. |
| [8] | 卢佶. 基于市县联动的森林资源及生态状况动态变化研究[D]. 杭州: 浙江农林大学, 2014. |
| [9] | 刘华, 陈永富, 鞠洪波, 等. 美国森林资源监测技术对我国森林资源一体化监测体系建设的启示[J]. 世界林业研究, 2012, 25(6):64-68. |
| [10] | 刘绍娟. 森林资源规划设计调查的关键技术、存在的问题及对策[J]. 林业建设, 2017, 196(4):46-49. |
| [11] | 蔺焕忠, 邵殿坤, 李广玉. 森林资源规划设计调查改进方法初探[J]. 林业科技情报, 2012, 44(3):4-5. |
| [12] | 王博一, 刘兆刚, 颜俊峰, 等. 依据多种抽样技术对二类调查蓄积量精度控制及比较[J]. 东北林业大学学报, 2022, 50(2):23-28. |
| [13] | 陈礼德. 森林资源二类调查存在的主要问题与对策[J]. 中国林业经济, 2017(6):46-47. |
| [14] | 王建明, 郎子岩. 谈森林资源二类调查技术的发展过程及存在问题[J]. 林业勘查设计, 2014(1):8-10. |
| [15] | 陶吉兴, 张国江, 季碧勇. 森林资源一类清查与二类调查数据控制与融合研究[J]. 浙江林业科技, 2016, 36(6):8-14. |
| [16] | 黄平. 全国森林资源一体化监测的实践与思考——以广东省森林资源监测工作为例[J]. 林业资源管理, 2013(2):6-9. |
| [17] | 闫宏伟, 黄国胜, 曾伟生, 等. 全国森林资源一体化监测体系建设的思考[J]. 林业资源管理, 2011(6):6-11. |
| [18] | 蒲洪. 森林资源监测有关问题的思考[J]. 农村实用技术, 2019, 208(3):111-112. |
| [19] | 李琦, 陶丹, 薛春燕. 上海市森林资源一体化监测的探索与实践[J]. 华东森林经理, 2018, 32(2):22-25. |
| [20] | 陶吉兴, 季碧勇, 张国江, 等. 浙江省森林资源一体化监测体系探索与设计[J]. 林业资源管理, 2016(3):28-34. |
| [21] | 曲延斌. 天山云杉林分蓄积量反演模型研究[D]. 乌鲁木齐: 新疆农业大学, 2022. |
| [22] | 龙时胜. 湖南栎类天然林自稀疏规律与生长模型研究[D]. 长沙: 中南林业科技大学, 2021. |
| [23] | 高东启. 北京市蒙古栎、油松林分生长预估模型研究[D]. 北京: 北京林业大学, 2014. |
| [24] | 徐衍武. 利用二类调查成果建立林分蓄积预估模型的研究[J]. 林业勘查设计, 2013, 167(3):61-62. |
| [25] | 阳帆. 森林资源综合监测体系优化设计研究[D]. 北京: 北京林业大学, 2020. |
/
| 〈 |
|
〉 |