{"title":"巴基斯坦玛加拉山国家公园森林生物量和碳储量的比较研究","authors":"M. Qasim, E. Csaplovics","doi":"10.1080/21580103.2023.2208141","DOIUrl":null,"url":null,"abstract":"Abstract Forests can play an important role in climate change mitigation. However, limited information is available worldwide regarding forest carbon and biomass stocks. Financial mechanisms such as ‘reducing emissions from deforestation and forest degradation and the role of conservation of forest carbon, sustainable management of forests and enhancement of forest carbon stocks’ (REDD+) also emphasize the quantification of forest biomass and carbon. This study aimed to estimate the forest biomass in two forests of Margalla Hills National Park (MHNP): Sub-tropical Chir Pine Forest (SCPF) and Sub-tropical Broadleaved Evergreen Forest (SBEF). For this, circular sampling plots of a 20 m radius were used for the collection of the variables, “diameter at breast height (DBH) and height”. Statistical analysis was done for exploring regression relationships between the variables. We found a mean Aboveground Carbon (AGC) of 73.36 ± 32.55 Mg C ha−1 in SCPF and a mean AGC of 16.88 ± 25.81 Mg C ha−1 in SBEF. The mean Aboveground Biomass (AGB) for SCPF was recorded as 146.73 ± 65.11 Mg ha−1, while for SBEF it was 33.77 ± 51.63 Mg ha−1. It was therefore concluded that the SCPF had higher mean AGB and mean AGC than the SBEF. Similar differences were also noticed in the structural characteristics of the two forests. These could be valuable information while designing sustainable management plans and afforestation programmes for the future and also for accessing nature-based funding such as REDD+.","PeriodicalId":51802,"journal":{"name":"Forest Science and Technology","volume":"34 1","pages":"139 - 154"},"PeriodicalIF":1.8000,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative study of forest biomass and carbon stocks of Margalla Hills National Park, Pakistan\",\"authors\":\"M. Qasim, E. Csaplovics\",\"doi\":\"10.1080/21580103.2023.2208141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Forests can play an important role in climate change mitigation. However, limited information is available worldwide regarding forest carbon and biomass stocks. Financial mechanisms such as ‘reducing emissions from deforestation and forest degradation and the role of conservation of forest carbon, sustainable management of forests and enhancement of forest carbon stocks’ (REDD+) also emphasize the quantification of forest biomass and carbon. This study aimed to estimate the forest biomass in two forests of Margalla Hills National Park (MHNP): Sub-tropical Chir Pine Forest (SCPF) and Sub-tropical Broadleaved Evergreen Forest (SBEF). For this, circular sampling plots of a 20 m radius were used for the collection of the variables, “diameter at breast height (DBH) and height”. Statistical analysis was done for exploring regression relationships between the variables. We found a mean Aboveground Carbon (AGC) of 73.36 ± 32.55 Mg C ha−1 in SCPF and a mean AGC of 16.88 ± 25.81 Mg C ha−1 in SBEF. The mean Aboveground Biomass (AGB) for SCPF was recorded as 146.73 ± 65.11 Mg ha−1, while for SBEF it was 33.77 ± 51.63 Mg ha−1. It was therefore concluded that the SCPF had higher mean AGB and mean AGC than the SBEF. Similar differences were also noticed in the structural characteristics of the two forests. These could be valuable information while designing sustainable management plans and afforestation programmes for the future and also for accessing nature-based funding such as REDD+.\",\"PeriodicalId\":51802,\"journal\":{\"name\":\"Forest Science and Technology\",\"volume\":\"34 1\",\"pages\":\"139 - 154\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forest Science and Technology\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1080/21580103.2023.2208141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Science and Technology","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1080/21580103.2023.2208141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
摘要
森林可以在减缓气候变化方面发挥重要作用。然而,全世界关于森林碳和生物量储量的资料有限。诸如“减少毁林和森林退化造成的排放以及森林碳保护、森林可持续管理和增加森林碳储量的作用”(REDD+)等金融机制也强调森林生物量和碳的量化。本研究旨在估算玛加拉山国家公园(MHNP)的两种森林:亚热带赤松林(SCPF)和亚热带阔叶常绿林(SBEF)的森林生物量。为此,使用半径为20米的圆形采样图来收集变量,“胸围高度直径(DBH)和高度”。通过统计分析,探索各变量之间的回归关系。我们发现SCPF的平均地上碳(AGC)为73.36±32.55 Mg C ha - 1, SBEF的平均AGC为16.88±25.81 Mg C ha - 1。SCPF的平均地上生物量(AGB)为146.73±65.11 Mg ha−1,SBEF的平均地上生物量(AGB)为33.77±51.63 Mg ha−1。因此,SCPF的平均AGB和平均AGC高于SBEF。两种森林的结构特征也有类似的差异。在为未来设计可持续管理计划和造林方案以及获取基于自然的资金(例如REDD+)时,这些信息可能是有价值的。
Comparative study of forest biomass and carbon stocks of Margalla Hills National Park, Pakistan
Abstract Forests can play an important role in climate change mitigation. However, limited information is available worldwide regarding forest carbon and biomass stocks. Financial mechanisms such as ‘reducing emissions from deforestation and forest degradation and the role of conservation of forest carbon, sustainable management of forests and enhancement of forest carbon stocks’ (REDD+) also emphasize the quantification of forest biomass and carbon. This study aimed to estimate the forest biomass in two forests of Margalla Hills National Park (MHNP): Sub-tropical Chir Pine Forest (SCPF) and Sub-tropical Broadleaved Evergreen Forest (SBEF). For this, circular sampling plots of a 20 m radius were used for the collection of the variables, “diameter at breast height (DBH) and height”. Statistical analysis was done for exploring regression relationships between the variables. We found a mean Aboveground Carbon (AGC) of 73.36 ± 32.55 Mg C ha−1 in SCPF and a mean AGC of 16.88 ± 25.81 Mg C ha−1 in SBEF. The mean Aboveground Biomass (AGB) for SCPF was recorded as 146.73 ± 65.11 Mg ha−1, while for SBEF it was 33.77 ± 51.63 Mg ha−1. It was therefore concluded that the SCPF had higher mean AGB and mean AGC than the SBEF. Similar differences were also noticed in the structural characteristics of the two forests. These could be valuable information while designing sustainable management plans and afforestation programmes for the future and also for accessing nature-based funding such as REDD+.