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利用谷歌+代码分析森林碳储量的时空变化:以中国紫金山国家森林公园为例。

Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China.

作者信息

Wen Xiaorong, Yang Li, Zhang Yanli, Wang Qiulai, Ye Jinsheng, McBroom Matthew

机构信息

Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

College of Forestry, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.

出版信息

Carbon Balance Manag. 2024 Apr 15;19(1):13. doi: 10.1186/s13021-024-00258-0.

DOI:10.1186/s13021-024-00258-0
PMID:38622283
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11020297/
Abstract

BACKGROUND

It is always a challenging job to compare forest resources as there is not a standardized spatial unit with location information. Google Plus Code, the newest alphanumeric geocoding system, uses 20 specifically selected letters and numbers to assign a unique global ID to every cell at different levels of a hierarchical grid system which is established based on latitude and longitude. It can be used as a standardized, unique global geospatial unit to segment, locate, quantitate, evaluate, and compare natural resources with area, boundary, and location information embedded.

RESULTS

For this proof-of-concept case study, forest inventory data from 1987, 2002, and 2019 for the Zijin Mountain National Forest Park in Jiangsu Province, China was analyzed based on Google Plus Code grid/cell. This enabled the quantification of carbon storage at each cell allowing for the comparison of estimated carbon storage at same or different locations over time.

CONCLUSIONS

This methodology is used to quantify the impacts of changing forest conditions and forest management activities on carbon storage with high spatial accuracy through the 32-year study period. Furthermore, this technique could be used for providing technical support and validation of carbon credit quantification and management.

摘要

背景

由于缺乏带有位置信息的标准化空间单元,比较森林资源一直是一项具有挑战性的工作。谷歌加代码(Google Plus Code)是最新的字母数字地理编码系统,它使用20个特定选择的字母和数字为基于纬度和经度建立的分层网格系统不同层级的每个单元格分配一个唯一的全球ID。它可以用作标准化的、唯一的全球地理空间单元,以分割、定位、量化、评估和比较嵌入了面积、边界和位置信息的自然资源。

结果

对于这个概念验证案例研究,基于谷歌加代码网格/单元格对中国江苏省紫金山国家森林公园1987年、2002年和2019年的森林清查数据进行了分析。这使得能够对每个单元格的碳储量进行量化,从而比较不同时间在相同或不同位置的估计碳储量。

结论

该方法用于通过32年的研究期,以高空间精度量化森林状况变化和森林管理活动对碳储量的影响。此外,该技术可用于为碳信用量化和管理提供技术支持及验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/bed7cb37b68d/13021_2024_258_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/04edac690861/13021_2024_258_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/54161c114490/13021_2024_258_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/3ca67a0794dd/13021_2024_258_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/b5310ccc1d9f/13021_2024_258_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/a781164e1058/13021_2024_258_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/bed7cb37b68d/13021_2024_258_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/04edac690861/13021_2024_258_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/54161c114490/13021_2024_258_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/3ca67a0794dd/13021_2024_258_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/b5310ccc1d9f/13021_2024_258_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/a781164e1058/13021_2024_258_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e8/11020297/bed7cb37b68d/13021_2024_258_Fig6_HTML.jpg

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