Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China
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 ce...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | Carbon Balance and Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13021-024-00258-0 |
| _version_ | 1797199717400051712 |
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| author | Xiaorong Wen Li Yang Yanli Zhang Qiulai Wang Jinsheng Ye Matthew McBroom |
| author_facet | Xiaorong Wen Li Yang Yanli Zhang Qiulai Wang Jinsheng Ye Matthew McBroom |
| author_sort | Xiaorong Wen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T07:20:11Z |
| format | Article |
| id | doaj.art-e0830ac0bca34030962f65cbd82cddc2 |
| institution | Directory Open Access Journal |
| issn | 1750-0680 |
| language | English |
| last_indexed | 2024-04-24T07:20:11Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Carbon Balance and Management |
| spelling | doaj.art-e0830ac0bca34030962f65cbd82cddc22024-04-21T11:08:04ZengBMCCarbon Balance and Management1750-06802024-04-0119111010.1186/s13021-024-00258-0Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, ChinaXiaorong Wen0Li Yang1Yanli Zhang2Qiulai Wang3Jinsheng Ye4Matthew McBroom5Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry UniversityCo-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry UniversityArthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityCollege of Forestry, Nanjing Forestry UniversityCollege of Forestry, Nanjing Forestry UniversityArthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityAbstract 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.https://doi.org/10.1186/s13021-024-00258-0Alphanumeric geocoding systemGoogle Plus CodeCarbon storageSpatial distribution |
| spellingShingle | Xiaorong Wen Li Yang Yanli Zhang Qiulai Wang Jinsheng Ye Matthew McBroom Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China Carbon Balance and Management Alphanumeric geocoding system Google Plus Code Carbon storage Spatial distribution |
| title | Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China |
| title_full | Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China |
| title_fullStr | Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China |
| title_full_unstemmed | Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China |
| title_short | Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China |
| title_sort | analyzing temporal and spatial forest carbon storage using google plus code a case study of zijin mountain national forest park china |
| topic | Alphanumeric geocoding system Google Plus Code Carbon storage Spatial distribution |
| url | https://doi.org/10.1186/s13021-024-00258-0 |
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