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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
06/02/2017 |
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Data da última atualização: |
06/02/2017 |
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Autoria: |
BALVANERA, P.; QUIJAS, S.; JONES, L.; MASANTE, D.; EQUIHUA, M.; LAZOS, E.; GERRITSEN, P.; PÉREZ-MAQUEO, O.; PURSE, B.; SIMÕES, M.; VARELA-ORTEGA, C.; ASCARRUNZ, N.; BLANCO, I.; BOIT, A.; ESTEVE, P.; FERRAZ, R.; MARTORANO, L.; MURRAY-TORTAROLO, G.; PEÑA-CLAROS, M.; POORTER, L.; TOLEDO, M.; THONICKE, K.; EUPEN, M. van. |
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Afiliação: |
Patricia Balvanera; Sandra Quijas; Laurence Jones; Dario Masante; Miguel Equihua; Elena Lazos; Peter Gerritsen; Octavio Pérez-Maqueo; Bethan Purse; MARGARETH GONCALVES SIMOES, CNPS; Consuelo Varela-Ortega; Nataly Ascarrunz; Irene Blanco; Alice Boit; Paloma Esteve; Rodrigo Ferraz; LUCIETA GUERREIRO MARTORANO, CPATU; Guillermo Murray-Tortarolo; Marielos Peña-Claros; Lourens Poorter; Marisol Toledo; Kirsten Thonicke; Michiel van Eupen. |
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Título: |
D2.3.3. Assessment of main trade-offs between biodiversity, climate change mitigation measures and other ecosystem services and human well-being at national scale and in local case study areas. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
[S.l.]: ROBIN consortium, 2015. |
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Páginas: |
100 p. |
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Idioma: |
Inglês |
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Notas: |
Project name (GA number): ROBIN (283093). |
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Conteúdo: |
In this report we summarize methodological approaches and key findings with respect to: a) modelling ecosystem services under current conditions and into alternative future scenarios, b) trade-offs between biodiversity and ecosystem services, c) trade-offs among ecosystem services, and d) trade-offs between biodiversity, ecosystem services and well-being. The latter issues are addressed at several spatial scales and using different approaches: i) assessments at local spatial scales through participatory workshops, ii) a Bayesian approach to assess system wise trade-offs at multiple scales, iii) links between ecosystem services and human well-being at state and local scales, iv) spatial patterns of trade-offs between bundles of ecosystem services and biodiversity and v) implications for future sustainability and integration across scales |
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Thesagro: |
Biodiversidade; Mudança Climática. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/154833/1/ROBIN-D2.3.3-Assessment-of-Trade-offs-.pdf
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Marc: |
LEADER 02083nam a2200421 a 4500
001 2062863
005 2017-02-06
008 2015 bl uuuu t 00u1 u #d
100 1 $aBALVANERA, P.
245 $aD2.3.3. Assessment of main trade-offs between biodiversity, climate change mitigation measures and other ecosystem services and human well-being at national scale and in local case study areas.$h[electronic resource]
260 $a[S.l.]: ROBIN consortium$c2015
300 $a100 p.
500 $aProject name (GA number): ROBIN (283093).
520 $aIn this report we summarize methodological approaches and key findings with respect to: a) modelling ecosystem services under current conditions and into alternative future scenarios, b) trade-offs between biodiversity and ecosystem services, c) trade-offs among ecosystem services, and d) trade-offs between biodiversity, ecosystem services and well-being. The latter issues are addressed at several spatial scales and using different approaches: i) assessments at local spatial scales through participatory workshops, ii) a Bayesian approach to assess system wise trade-offs at multiple scales, iii) links between ecosystem services and human well-being at state and local scales, iv) spatial patterns of trade-offs between bundles of ecosystem services and biodiversity and v) implications for future sustainability and integration across scales
650 $aBiodiversidade
650 $aMudança Climática
700 1 $aQUIJAS, S.
700 1 $aJONES, L.
700 1 $aMASANTE, D.
700 1 $aEQUIHUA, M.
700 1 $aLAZOS, E.
700 1 $aGERRITSEN, P.
700 1 $aPÉREZ-MAQUEO, O.
700 1 $aPURSE, B.
700 1 $aSIMÕES, M.
700 1 $aVARELA-ORTEGA, C.
700 1 $aASCARRUNZ, N.
700 1 $aBLANCO, I.
700 1 $aBOIT, A.
700 1 $aESTEVE, P.
700 1 $aFERRAZ, R.
700 1 $aMARTORANO, L.
700 1 $aMURRAY-TORTAROLO, G.
700 1 $aPEÑA-CLAROS, M.
700 1 $aPOORTER, L.
700 1 $aTOLEDO, M.
700 1 $aTHONICKE, K.
700 1 $aEUPEN, M. van.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
04/09/2013 |
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Data da última atualização: |
04/09/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
POWELL, T. I.; GALBRAITH, D. R.; CHRISTOFFERSEN, B. O.; HARPER, A.; IMBUZEIRO, H. M. A.; ROWLAND, L.; ALMEIDA, S.; BRANDO, P. M.; COSTA, A. C. L. da; COSTA, M. H.; LEVINE, N. M.; MALHI, Y.; SALESKA, S. R.; SOTTA, E.; WILLIAMS, M.; MEIR, P.; MOORCROFT, P. R. |
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Afiliação: |
Thomas L. Powell, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; David R. Galbraith, School of Geography, University of Leeds, Leeds, LS2 9JT, UK; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK; Bradley O. Christoffersen, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA; Anna Harper, College of Engineering, Mathematics, and Physical Science, University of Exeter, Exeter, EX4 4QF, UK; Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA; Hewlley M. A. Imbuzeiro, Grupo de Pesquisas em Interação Atmosfera-Biosfera, Universidade Federal de Vicosa, Vicosa, CEP 36570-000, Minas Gerias, Brazil; Lucy Rowland, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Samuel Almeida, Museu Paraense Emilio Goeldi, Belem, CEP 66077-530, Para, Brazil; Paulo M. Brando, Instituto de Pesquisa Ambiental da Amazônia, CEP 71503-505, Brasilia, Distrito Federal, Brazil; Antonio Carlos Lola da Costa, Centro de Geociências, Universidade Federal do Para, Belem, CEP 66017-970, Para, Brazil; Marcos Heil Costa, Grupo de Pesquisas em Interac~ao Atmosfera-Biosfera, Universidade Federal de Vicosa, Vicosa, CEP 36570-000, Minas Gerias, Brazil; Naomi M. Levine, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Yadvinder Malhi, Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK; Scott R. Saleska, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA; ELENEIDE DOFF SOTTA, CPAF-AP; Mathew Williams, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Patrick Meir, School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK; Paul R. Moorcroft, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. |
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Título: |
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
New Phytologist, Cambridge, Jul. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water-stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought. MenosConsiderable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenolog... Mostrar Tudo |
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Palavras-Chave: |
Ciclo do cabono; Modelo de biosfera terrestre; Terrestrial biosphere model; Tropical rainforest. |
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Thesagro: |
Floresta tropical. |
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Thesaurus NAL: |
carbon cycle. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/89031/1/CPAFAP-2013-Confronting-model-predictions-of-carbon.pdf
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Marc: |
LEADER 02802naa a2200385 a 4500
001 1965567
005 2013-09-04
008 2013 bl uuuu u00u1 u #d
100 1 $aPOWELL, T. I.
245 $aConfronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought.$h[electronic resource]
260 $c2013
520 $aConsiderable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water-stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought.
650 $acarbon cycle
650 $aFloresta tropical
653 $aCiclo do cabono
653 $aModelo de biosfera terrestre
653 $aTerrestrial biosphere model
653 $aTropical rainforest
700 1 $aGALBRAITH, D. R.
700 1 $aCHRISTOFFERSEN, B. O.
700 1 $aHARPER, A.
700 1 $aIMBUZEIRO, H. M. A.
700 1 $aROWLAND, L.
700 1 $aALMEIDA, S.
700 1 $aBRANDO, P. M.
700 1 $aCOSTA, A. C. L. da
700 1 $aCOSTA, M. H.
700 1 $aLEVINE, N. M.
700 1 $aMALHI, Y.
700 1 $aSALESKA, S. R.
700 1 $aSOTTA, E.
700 1 $aWILLIAMS, M.
700 1 $aMEIR, P.
700 1 $aMOORCROFT, P. R.
773 $tNew Phytologist, Cambridge, Jul. 2013.
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Embrapa Amapá (CPAF-AP) |
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