Este conjunto de dados representa o armazenamento de carbono terrestre acima e abaixo do solo (toneladas (t) de C por hectare (ha)) por volta de 2010.
O conjunto de dados foi criado combinando os conjuntos de dados públicos mais confiáveis e sobrepondo-os ao mapa de cobertura da terra da ESA CCI para o ano de 2010 (ESA, 2017). Cada célula da grade recebeu o valor correspondente de biomassa acima do solo do mapa de biomassa mais adequado ao tipo de cobertura da terra da célula.
Os conjuntos de dados de carbono de entrada foram identificados por uma revisão bibliográfica de conjuntos de dados sobre carbono de biomassa em ecossistemas terrestres publicados em literatura revisada por pares.
Para determinar quais conjuntos de dados combinar e produzir o mapa global de densidade de carbono, os conjuntos identificados foram avaliados com base na resolução, na acurácia, na definição de biomassa e na data de referência. Consulte a Tabela 1 no artigo citado para mais informações sobre os conjuntos de dados selecionados.
Depois de agregar cada conjunto de dados selecionado a uma escala nominal de resolução de 300 m, as categorias de floresta no conjunto de dados de cobertura da terra CCI ESA 2010 foram usadas para extrair a biomassa acima do solo de Santoro et al. 2018 para áreas florestais.
Em seguida, a biomassa de florestas e savanas foi incorporada para a África de Bouvet et al. 2018 e de Santoro et al. 2018 para áreas fora da África e fora da floresta.
A biomassa de áreas agrícolas, vegetação esparsa e classes de cobertura de pastagens da CCI ESA, além de áreas de arbustos fora da África ausentes em Santoro et al. 2018, foi extraída de Xia et al. 2014 e Spawn et al. 2017, com média por zona ecológica para cada tipo de cobertura.
A biomassa subterrânea foi adicionada usando as proporções raiz/parte aérea das diretrizes de 2006 do IPCC para inventários nacionais de gases de efeito estufa (IPCC, 2006). Nenhum valor subterrâneo foi atribuído às lavouras porque as proporções não estavam disponíveis. Em seguida, as biomassas acima e abaixo do solo foram somadas e multiplicadas por 0,5 para conversão em carbono, gerando uma única camada de carbono de biomassa acima e abaixo do solo.
Este conjunto de dados não foi validado.
Referências:
Bouvet, A. et al. 2018. Um mapa de biomassa acima do solo das savanas e florestas africanas com resolução de 25 m derivado do ALOS PALSAR. Remote Sensing of the Environment 206, 156-173.
IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories (eds HS Eggleston, L Buendia, K Miwa, T Ngara, K Tanabe.) Kanagawa, Japão: IGES.
Santoro, M. et al. (2018). Um retrato detalhado do conjunto de biomassa acima do solo da floresta para o ano de 2010, obtido de várias observações de sensoriamento remoto. Geophysical Research Abstracts 20, EGU2018-EG18932.
Spawn SA et al. (2017) New global biomass map for the year 2010. New Orleans, LA: American Geophysical Union.
Xia, J. et al. (2014) Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sensing 6, 1783-1802.
Observação do provedor: o conjunto de dados de biomassa de carbono do Centro Mundial de Monitoramento da Conservação (WCMC, na sigla em inglês) do Programa das Nações Unidas para o Meio Ambiente (PNUMA) representa condições entre 1982 e 2010, dependendo do tipo de cobertura da terra. Os padrões relativos dos estoques de carbono são bem representados com esse conjunto de dados. O conjunto de dados de biomassa de carbono da NASA/ORNL representa as condições de biomassa para 2010, com estimativas de incerteza no nível do pixel.
A biomassa adicional de tipos de cobertura da terra não dominantes é representada em cada pixel. Para mais informações, consulte os artigos que descrevem cada conjunto de dados: WCMC (Soto-Navarro et al. 2020) e NASA/ORNL(Spawn et al. 2020).
Bandas
Bandas
Nome
Mín.
Máx.
Tamanho do pixel
Descrição
carbon_tonnes_per_ha
0
445,5
300 metros
Toneladas de carbono de biomassa acima e abaixo do solo por hectare
Termos de Uso
Termos de Uso
Esses dados estão sujeitos à licença Atribuição-Compartilhamento pela mesma licença 4.0 Internacional (CC BY-SA 4.0).
Os detalhes estão disponíveis aqui.
Citações
Citações:
Soto-Navarro C., Ravilious C., Arnell A., de Lamo X., Harfoot M., Hill S. L. L.,
Wearn O. R., Santoro M., Bouvet A., Mermoz S., Le Toan T., Xia J., Liu S.,
Yuan W., Spawn S. A., Gibbs H. K., Ferrier S., Harwood T., Alkemade R.,
Schipper A. M., Schmidt-Traub G., Strassburg B., Miles L., Burgess N. D.
e Kapos V. (2020) Mapping co-benefits for carbon storage and biodiversity to
inform conservation policy and action. Philosophical Transactions of the Royal
Society B. 375 Link
Este conjunto de dados representa o armazenamento de carbono terrestre acima e abaixo do solo (toneladas (t) de C por hectare (ha)) por volta de 2010. O conjunto de dados foi construído combinando os conjuntos de dados disponíveis publicamente mais confiáveis e sobrepondo-os ao mapa de cobertura da terra da ESA CCI para o ano de 2010 (ESA, 2017), atribuindo a cada grade…
[null,null,[],[[["\u003cp\u003eThis dataset provides a global estimate of above- and below-ground terrestrial carbon storage for the year 2010, measured in tonnes of carbon per hectare.\u003c/p\u003e\n"],["\u003cp\u003eIt was created by combining various biomass datasets and assigning values based on the ESA CCI landcover map for 2010.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes one band: \u003ccode\u003ecarbon_tonnes_per_ha\u003c/code\u003e, representing the estimated carbon density.\u003c/p\u003e\n"],["\u003cp\u003eIt is available under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license and provided by UNEP-WCMC.\u003c/p\u003e\n"],["\u003cp\u003eWhile the dataset represents carbon storage circa 2010, the underlying data sources range from 1982 to 2010 depending on land cover type.\u003c/p\u003e\n"]]],["This dataset provides above- and below-ground terrestrial carbon storage data (tonnes of C/ha) for circa 2010, compiled by UNEP-WCMC. It combines datasets from literature reviews, overlaid with the 2010 ESA CCI landcover map. Data sources include Santoro et al. (2018) for forests, Bouvet et al. (2018) for African woodlands/savannas, and Xia et al. (2014) and Spawn et al. (2017) for other landcover. Below-ground biomass, using IPCC ratios, is included, except for croplands. The dataset, unvalidated, is accessible via Google Earth Engine.\n"],null,["# WCMC Above and Below Ground Biomass Carbon Density\n\nDataset Availability\n: 2010-01-01T00:00:00Z--2010-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [UNEP-WCMC (UN Environment Programme World Conservation Monitoring Centre)](https://doi.org/10.34892/rh7v-hg80)\n\nTags\n:\n [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [wcmc](/earth-engine/datasets/tags/wcmc) \nunep \n\n#### Description\n\nThis dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010.\nThe dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, 2017), assigning to each grid cell the corresponding above-ground biomass value from the biomass map that was most appropriate for the grid cell's landcover type.\nInput carbon datasets were identified through a literature review of existing datasets on biomass carbon in terrestrial ecosystems published in peer-reviewed literature.\nTo determine which datasets to combine to produce the global carbon density map, identified datasets were evaluated based on resolution, accuracy, biomass definition and reference date (see Table 1 in paper cited for further information on datasets selected).\nAfter aggregating each selected dataset to a nominal scale of 300 m resolution, forest categories in the CCI ESA 2010 landcover dataset were used to extract above-ground biomass from Santoro et al. 2018 for forest areas.\nWoodland and savanna biomass were then incorporated for Africa from Bouvet et al. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside of forest.\nBiomass from croplands, sparse vegetation and grassland landcover classes from CCI ESA, in addition to shrubland areas outside Africa missing from Santoro et al. 2018, were extracted from were extracted from Xia et al. 2014. and Spawn et al. 2017 averaged by ecological zone for each landcover type.\nBelow-ground biomass were added using root-to-shoot ratios from the 2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No below-ground values were assigned to croplands as ratios were unavailable. Above-and-below-ground biomass were then summed together and multiplied by 0.5 to convert to carbon, generating a single above-and-below-ground biomass carbon layer.\nThis dataset has not been validated.\n\nReferences:\n\n- Bouvet, A. et al. 2018. An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR. Remote Sensing of the Environment 206, 156-173.\n- ESA (2017) [Land Cover CCI Product User Guide Version 2. Tech. Rep.](https://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf).\n- IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories (eds HS Eggleston, L Buendia, K Miwa, T Ngara, K Tanabe.) Kanagawa, Japan: IGES.\n- Santoro, M. et al. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. Geophysical Research Abstracts 20, EGU2018-EG18932.\n- Spawn SA et al. (2017) New global biomass map for the year 2010. New Orleans, LA: American Geophysical Union.\n- Xia, J. et al. (2014) Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sensing 6, 1783-1802.\n\nProvider's note: The UN Environment Programme World Conservation Monitoring\nCentre (UNEP-WCMC) carbon biomass dataset\nrepresents conditions between 1982 and 2010 depending on land cover type. The relative patterns\nof carbon stocks are well represented with this dataset. The [NASA/ORNL carbon biomass dataset](https://daac.ornl.gov/VEGETATION/guides/Global_Maps_C_Density_2010.html)\nrepresents biomass conditions for 2010, with uncertainty estimates at the pixel-level.\nAdditional biomass of non-dominant land cover types are represented within each pixel. For more\ndetailed information, please refer to the papers describing each dataset: WCMC\n[(Soto-Navarro et al. 2020)](https://royalsocietypublishing.org/doi/full/10.1098/rstb.2019.0128)\nand [NASA/ORNL](/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1) [(Spawn et al. 2020)](https://www.nature.com/articles/s41597-020-0444-4).\n\n### Bands\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------------------------|-----|-------|------------|-------------------------------------------------------------|\n| `carbon_tonnes_per_ha` | 0 | 445.5 | 300 meters | Tonnes of above and below ground biomass carbon per hectare |\n\n### Terms of Use\n\n**Terms of Use**\n\nThese data are subject to Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).\nDetails can be found [here.](https://creativecommons.org/licenses/by-sa/4.0/)\n\n### Citations\n\nCitations:\n\n- Soto-Navarro C., Ravilious C., Arnell A., de Lamo X., Harfoot M., Hill S. L. L.,\n Wearn O. R., Santoro M., Bouvet A., Mermoz S., Le Toan T., Xia J., Liu S.,\n Yuan W., Spawn S. A., Gibbs H. K., Ferrier S., Harwood T., Alkemade R.,\n Schipper A. M., Schmidt-Traub G., Strassburg B., Miles L., Burgess N. D.\n and Kapos V. (2020) Mapping co-benefits for carbon storage and biodiversity to\n inform conservation policy and action. Philosophical Transactions of the Royal\n Society B. 375 [Link](https://doi.org/10.1098/rstb.2019.0128)\n\n### DOIs\n\n- \u003chttps://doi.org/10.34892/rh7v-hg80\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar image = ee.Image('WCMC/biomass_carbon_density/v1_0/2010');\n\nMap.addLayer(ee.Image(1), {min: 0, max: 1}, 'base_map');\nMap.addLayer(\n image, {\n min: 1,\n max: 180,\n palette: ['d9f0a3', 'addd8e', '78c679', '41ab5d', '238443', '005a32']\n },\n 'carbon_tonnes_per_ha');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WCMC/WCMC_biomass_carbon_density_v1_0) \n[WCMC Above and Below Ground Biomass Carbon Density](/earth-engine/datasets/catalog/WCMC_biomass_carbon_density_v1_0) \nThis dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. The dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, 2017), assigning to each grid ... \nWCMC/biomass_carbon_density/v1_0, biomass,carbon,forest-biomass,wcmc \n2010-01-01T00:00:00Z/2010-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.34892/rh7v-hg80](https://doi.org/https://doi.org/10.34892/rh7v-hg80)\n- [https://doi.org/10.34892/rh7v-hg80](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WCMC_biomass_carbon_density_v1_0)"]]
