Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia
Forest biomass is an important variable for calculating carbon stocks and greenhouse gas emissions from deforestation and forest fires in Brazilian Amazonia. Its spatial distribution has caused controversy due to disagreements over the application of different calculation methodologies. Standardized...
| Autor principal: | Barni, Paulo Eduardo |
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| Outros Autores: | Manzi, Antônio Ocimar, Condé, Tiago Monteiro, Barbosa, Reinaldo Imbrozio, Fearnside, Philip Martin |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Forest Ecology and Management
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/13027 |
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oai:repositorio:1-13027 |
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dspace |
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oai:repositorio:1-13027 Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia Barni, Paulo Eduardo Manzi, Antônio Ocimar Condé, Tiago Monteiro Barbosa, Reinaldo Imbrozio Fearnside, Philip Martin Agriculture Biomass Conservation Deforestation Drought Environmental Protection Forestry Gas Emissions Global Warming Greenhouse Gases Land Use Surveys Agricultural use Brazilian Amazonia Carbon Stocks Climatic regions Kriging technique Northern Amazonia Protected Areas Redd Spatial Distribution Aboveground Biomass Belowground Biomass Biomass Carbon Emission Carbon Sequestration Deforestation Dry Season Forest Fires Global Warming Greenhouse Gas Kriging Litter Protected Area Spatial Distribution United Nations Framework Convention On Climate Change Amazonia Brasil Roraima Forest biomass is an important variable for calculating carbon stocks and greenhouse gas emissions from deforestation and forest fires in Brazilian Amazonia. Its spatial distribution has caused controversy due to disagreements over the application of different calculation methodologies. Standardized networks of forest surveys provide an alternative to solve this problem. This study models the spatial distribution and original total stock of forest biomass (Aboveground + Belowground + Fine and coarse litter) in Brazil's state of Roraima, taking advantage of data from georeferenced forest surveys in the region. Commercial volume (bole volume) from surveys was expanded to total biomass. Kriging techniques were used to model the spatial distribution of biomass stocks and generate a benchmark map. All results were associated with phytophysiognomic groups, climatic regions and land uses (protected areas; agricultural use). We estimate forest in the state of Roraima to have an original biomass stock of 6.32 × 109 Mg. Forest biomasses in areas with shorter dry seasons were higher as compared to forests in regions with longer dry seasons. The original vegetation in protected areas, independent of phytophysiognomic group, has higher biomass compared to areas currently under agricultural use. Protected areas support 65.8% of Roraima's stock of forest biomass, indicating an important potential role in REDD projects for conservation of forest carbon. Information on spatial distribution of biomass stocks at a more refined scale is needed to reduce uncertainties about the regional character of carbon pools in Amazonia. © 2016 The Authors 2020-04-17T20:50:13Z 2020-04-17T20:50:13Z 2016 Artigo https://repositorio.inpa.gov.br/handle/1/13027 10.1016/j.foreco.2016.07.010 en Volume 377, Pags. 170-181 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Forest Ecology and Management |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Agriculture Biomass Conservation Deforestation Drought Environmental Protection Forestry Gas Emissions Global Warming Greenhouse Gases Land Use Surveys Agricultural use Brazilian Amazonia Carbon Stocks Climatic regions Kriging technique Northern Amazonia Protected Areas Redd Spatial Distribution Aboveground Biomass Belowground Biomass Biomass Carbon Emission Carbon Sequestration Deforestation Dry Season Forest Fires Global Warming Greenhouse Gas Kriging Litter Protected Area Spatial Distribution United Nations Framework Convention On Climate Change Amazonia Brasil Roraima |
| spellingShingle |
Agriculture Biomass Conservation Deforestation Drought Environmental Protection Forestry Gas Emissions Global Warming Greenhouse Gases Land Use Surveys Agricultural use Brazilian Amazonia Carbon Stocks Climatic regions Kriging technique Northern Amazonia Protected Areas Redd Spatial Distribution Aboveground Biomass Belowground Biomass Biomass Carbon Emission Carbon Sequestration Deforestation Dry Season Forest Fires Global Warming Greenhouse Gas Kriging Litter Protected Area Spatial Distribution United Nations Framework Convention On Climate Change Amazonia Brasil Roraima Barni, Paulo Eduardo Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| topic_facet |
Agriculture Biomass Conservation Deforestation Drought Environmental Protection Forestry Gas Emissions Global Warming Greenhouse Gases Land Use Surveys Agricultural use Brazilian Amazonia Carbon Stocks Climatic regions Kriging technique Northern Amazonia Protected Areas Redd Spatial Distribution Aboveground Biomass Belowground Biomass Biomass Carbon Emission Carbon Sequestration Deforestation Dry Season Forest Fires Global Warming Greenhouse Gas Kriging Litter Protected Area Spatial Distribution United Nations Framework Convention On Climate Change Amazonia Brasil Roraima |
| description |
Forest biomass is an important variable for calculating carbon stocks and greenhouse gas emissions from deforestation and forest fires in Brazilian Amazonia. Its spatial distribution has caused controversy due to disagreements over the application of different calculation methodologies. Standardized networks of forest surveys provide an alternative to solve this problem. This study models the spatial distribution and original total stock of forest biomass (Aboveground + Belowground + Fine and coarse litter) in Brazil's state of Roraima, taking advantage of data from georeferenced forest surveys in the region. Commercial volume (bole volume) from surveys was expanded to total biomass. Kriging techniques were used to model the spatial distribution of biomass stocks and generate a benchmark map. All results were associated with phytophysiognomic groups, climatic regions and land uses (protected areas; agricultural use). We estimate forest in the state of Roraima to have an original biomass stock of 6.32 × 109 Mg. Forest biomasses in areas with shorter dry seasons were higher as compared to forests in regions with longer dry seasons. The original vegetation in protected areas, independent of phytophysiognomic group, has higher biomass compared to areas currently under agricultural use. Protected areas support 65.8% of Roraima's stock of forest biomass, indicating an important potential role in REDD projects for conservation of forest carbon. Information on spatial distribution of biomass stocks at a more refined scale is needed to reduce uncertainties about the regional character of carbon pools in Amazonia. © 2016 The Authors |
| format |
Artigo |
| author |
Barni, Paulo Eduardo |
| author2 |
Manzi, Antônio Ocimar Condé, Tiago Monteiro Barbosa, Reinaldo Imbrozio Fearnside, Philip Martin |
| author2Str |
Manzi, Antônio Ocimar Condé, Tiago Monteiro Barbosa, Reinaldo Imbrozio Fearnside, Philip Martin |
| title |
Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| title_short |
Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| title_full |
Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| title_fullStr |
Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| title_full_unstemmed |
Spatial distribution of forest biomass in Brazil's state of Roraima, northern Amazonia |
| title_sort |
spatial distribution of forest biomass in brazil's state of roraima, northern amazonia |
| publisher |
Forest Ecology and Management |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/13027 |
| _version_ |
1787144308156006400 |
| score |
11.755432 |