Estimating the carbon storage of forests is essential to support climate change mitigation and promote the transition into a low-carbon emission economy.To achieve this goal,voluntary carbon markets(VCMs)are essential...Estimating the carbon storage of forests is essential to support climate change mitigation and promote the transition into a low-carbon emission economy.To achieve this goal,voluntary carbon markets(VCMs)are essential.VCMs are promoted by a spontaneous demand,not imposed by binding targets,as the regulated ones.In Italy,only in Veneto and Piedmont Regions(Northern Italy),VCMs through forestry activities were carried out.Valle Camonica District(Northern Italy,Lombardy Region)is ready for a local VCM,but carbon storage of its forests was never estimated.The aim of this work was to estimate the total carbon storage(TCS;t C ha^−1)of forest biomass of Valle Camonica District,at the stand level,taking into account:(1)aboveground biomass,(2)belowground biomass,(3)deadwood,and(4)litter.We developed a user-friendly model,based on site-specifi c primary(measured)data,and we applied it to a dataset of 2019 stands extracted from 45 Forest Management Plans.Preliminary results showed that,in 2016,the TCS achieved 76.02 t C ha^−1.The aboveground biomass was the most relevant carbon pool(48.86 t C ha^−1;64.27%of TCS).From 2017 to 2029,through multifunctional forest management,the TCS could increase of 2.48 t C ha^−1(+3.26%).In the same period,assuming to convert coppices stands to high forests,an additional TCS of 0.78 t C ha^−1(equal to 2.85 t CO 2 ha^−1)in the aboveground biomass could be achieved without increasing forest areas.The additional carbon could be certifi ed and exchanged on a VCM,contributing to climate change mitigation at a local level.展开更多
Bangladesh (Indo-Bangladesh to independent Bangladesh) has more than 250 years of history in forest inventory. The Boundary demarcation of the Sundarbans forest in 1764 was the first record of forest inventory. A tota...Bangladesh (Indo-Bangladesh to independent Bangladesh) has more than 250 years of history in forest inventory. The Boundary demarcation of the Sundarbans forest in 1764 was the first record of forest inventory. A total of 30 inventories have been recorded that were started to form the boundary demarcation to complex biodiversity, biomass, and carbon stock assessment. These inventories used simple cartographic to complex satellite image processing techniques, software base data/information collection methods, and sophisticated statistical procedures in data analysis. Eventually, the history of the forest inventory of Bangladesh is about 100 years older than the history of forest management. This study aimed to classify the inventories into distinct time frames based on outputs and align them with the motive of rulers, existing forest policy, and contemporary global and national issues. The historical records forest inventory has been divided into four distinct periods, e.g., Mid eighteenth to the late nineteenth century: 1764-1876;Early twenty century: 1905-1924;Mid-twenty to late twenty century: 1958-2000;and Early twenty-first century: 2001-present). The objectives/outputs of each inventory were highly linked with the motive of rulers, policy statements, available technologies, and recent issues from national and global perspectives.展开更多
基金The study is part of a PhD Research Project funded by the Italian Ministry of Education,University and Research(MIUR).
文摘Estimating the carbon storage of forests is essential to support climate change mitigation and promote the transition into a low-carbon emission economy.To achieve this goal,voluntary carbon markets(VCMs)are essential.VCMs are promoted by a spontaneous demand,not imposed by binding targets,as the regulated ones.In Italy,only in Veneto and Piedmont Regions(Northern Italy),VCMs through forestry activities were carried out.Valle Camonica District(Northern Italy,Lombardy Region)is ready for a local VCM,but carbon storage of its forests was never estimated.The aim of this work was to estimate the total carbon storage(TCS;t C ha^−1)of forest biomass of Valle Camonica District,at the stand level,taking into account:(1)aboveground biomass,(2)belowground biomass,(3)deadwood,and(4)litter.We developed a user-friendly model,based on site-specifi c primary(measured)data,and we applied it to a dataset of 2019 stands extracted from 45 Forest Management Plans.Preliminary results showed that,in 2016,the TCS achieved 76.02 t C ha^−1.The aboveground biomass was the most relevant carbon pool(48.86 t C ha^−1;64.27%of TCS).From 2017 to 2029,through multifunctional forest management,the TCS could increase of 2.48 t C ha^−1(+3.26%).In the same period,assuming to convert coppices stands to high forests,an additional TCS of 0.78 t C ha^−1(equal to 2.85 t CO 2 ha^−1)in the aboveground biomass could be achieved without increasing forest areas.The additional carbon could be certifi ed and exchanged on a VCM,contributing to climate change mitigation at a local level.
文摘Bangladesh (Indo-Bangladesh to independent Bangladesh) has more than 250 years of history in forest inventory. The Boundary demarcation of the Sundarbans forest in 1764 was the first record of forest inventory. A total of 30 inventories have been recorded that were started to form the boundary demarcation to complex biodiversity, biomass, and carbon stock assessment. These inventories used simple cartographic to complex satellite image processing techniques, software base data/information collection methods, and sophisticated statistical procedures in data analysis. Eventually, the history of the forest inventory of Bangladesh is about 100 years older than the history of forest management. This study aimed to classify the inventories into distinct time frames based on outputs and align them with the motive of rulers, existing forest policy, and contemporary global and national issues. The historical records forest inventory has been divided into four distinct periods, e.g., Mid eighteenth to the late nineteenth century: 1764-1876;Early twenty century: 1905-1924;Mid-twenty to late twenty century: 1958-2000;and Early twenty-first century: 2001-present). The objectives/outputs of each inventory were highly linked with the motive of rulers, policy statements, available technologies, and recent issues from national and global perspectives.
