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2 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 13:33.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3PUF42P
Repositóriosid.inpe.br/mtc-m21b/2017/11.07.12.26
Última Atualização2017:11.07.12.26.00 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/11.07.12.26.01
Última Atualização dos Metadados2021:07.28.21.54.24 (UTC) administrator
DOI10.1371/journal.pone.0183785
ISSN1932-6203
Chave de CitaçãoSalesNeveMarcLoyo:2017:MoUnNo
TítuloModel uncertainties do not affect observed patterns of species richness in the Amazon
Ano2017
MêsOct.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2530 KiB
2. Contextualização
Autor1 Sales, Lilian Patrícia
2 Neves, Olívia Viana
3 Marco Junior, Paulo de
4 Loyola, Rafael
Grupo1
2
3 COCST-COCST-INPE-MCTIC-GOV-BR
4 COCST-COCST-INPE-MCTIC-GOV-BR
Afiliação1 Universidade Federal de Goiás (UFG)
2 Universidade Federal de Goiás (UFG)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3
4 loyola@ufg.br
RevistaPLoS One
Volume12
Número10
Páginase0183785
Nota SecundáriaA1_ZOOTECNIA_/_RECURSOS_PESQUEIROS A1_SAÚDE_COLETIVA A1_QUÍMICA A1_ODONTOLOGIA A1_NUTRIÇÃO A1_MEDICINA_VETERINÁRIA A1_MEDICINA_III A1_MEDICINA_II A1_MEDICINA_I A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_FARMÁCIA A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_ENFERMAGEM A1_EDUCAÇÃO_FÍSICA A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_CIÊNCIA_DE_ALIMENTOS A1_CIÊNCIA_DA_COMPUTAÇÃO A1_BIOTECNOLOGIA A1_BIODIVERSIDADE A1_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO A2_PSICOLOGIA A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_MATERIAIS A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_ENGENHARIAS_IV A2_ECONOMIA A2_CIÊNCIAS_BIOLÓGICAS_III A2_CIÊNCIAS_BIOLÓGICAS_II A2_CIÊNCIAS_BIOLÓGICAS_I A2_ASTRONOMIA_/_FÍSICA B1_EDUCAÇÃO B3_SERVIÇO_SOCIAL B3_LETRAS_/_LINGUÍSTICA B3_CIÊNCIAS_SOCIAIS_APLICADAS_I B3_ANTROPOLOGIA_/_ARQUEOLOGIA C_ENGENHARIAS_II
Histórico (UTC)2017-11-07 12:26:01 :: simone -> administrator ::
2017-11-07 12:26:01 :: administrator -> simone :: 2017
2017-11-07 12:26:39 :: simone -> administrator :: 2017
2021-07-28 21:54:24 :: administrator -> simone :: 2017
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoBackground Climate change is arguably a major threat to biodiversity conservation and there are several methods to assess its impacts on species potential distribution. Yet the extent to which different approaches on species distribution modeling affect species richness patterns at biogeographical scale is however unaddressed in literature. In this paper, we verified if the expected responses to climate change in biogeographical scale-patterns of species richness and species vulnerability to climate change-are affected by the inputs used to model and project species distribution. Methods We modeled the distribution of 288 vertebrate species (amphibians, birds and mammals), all endemic to the Amazon basin, using different combinations of the following inputs known to affect the outcome of species distribution models (SDMs): 1) biological data type, 2) modeling methods, 3) greenhouse gas emission scenarios and 4) climate forecasts. We calculated uncertainty with a hierarchical ANOVA in which those different inputs were considered factors. Results The greatest source of variation was the modeling method. Model performance interacted with data type and modeling method. Absolute values of variation on suitable climate area were not equal among predictions, but some biological patterns were still consistent. All models predicted losses on the area that is climatically suitable for species, especially for amphibians and primates. All models also indicated a current East-western gradient on endemic species richness, from the Andes foot downstream the Amazon river. Again, all models predicted future movements of species upwards the Andes mountains and overall species richness losses. Conclusions From a methodological perspective, our work highlights that SDMs are a useful tool for assessing impacts of climate change on biodiversity. Uncertainty exists but biological patterns are still evident at large spatial scales. As modeling methods are the greatest source of variation, choosing the appropriate statistics according to the study objective is also essential for estimating the impacts of climate change on species distribution. Yet from a conservation perspective, we show that Amazon endemic fauna is potentially vulnerable to climate change, due to expected reductions on suitable climate area. Climate-driven faunal movements are predicted towards the Andes mountains, which might work as climate refugia for migrating species.
ÁreaCST
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Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3PUF42P
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3PUF42P
Idiomaen
Arquivo Alvosales_model.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 4
DivulgaçãoWEBSCI; PORTALCAPES; MGA; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/36KNMEH
Repositóriodpi.inpe.br/plutao@80/2009/12.22.14.54.24
Última Atualização2010:09.15.13.47.32 (UTC) marciana
Repositório de Metadadosdpi.inpe.br/plutao@80/2009/12.22.14.54.25
Última Atualização dos Metadados2018:06.05.00.12.55 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.5194/bg-6-1883-2009
Rótulolattes: 7834780583735756 1 AndersonMLASPBCEHLLMNPQAV:2009:InLaHe
Chave de CitaçãoAndersonMLASPBCEHLLMNPQA:2009:InLaHe
TítuloInfluence of landscape heterogeneity on spatial patterns of wood productivity, wood specific density and above ground biomass in Amazonia
Ano2009
Data de Acesso16 maio 2024
Número de Arquivos1
Tamanho3676 KiB
2. Contextualização
Autor 1 Anderson, Liana Oighenstein
 2 Malhi, Yadvinder
 3 Ladle, Richard J.
 4 Aragão, Luiz Eduardo O. C.
 5 Shimabukuro, Yosio Edemir
 6 Phillips, Oliver
 7 Baker, Tim
 8 Costa, Antonio Lola da
 9 Espejo, Javier
10 Higuchi, Niro
11 Laurance, William F.
12 López-González, Gabi
13 Monteagudo, Abel
14 Núñez-Vargas, Percy
15 Peacock, July
16 Quesada, Carlos A.
17 Almeida, Samuel
Identificador de Curriculo 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JJCQ
Grupo 1
 2
 3
 4
 5 DSR-OBT-INPE-MCT-BR
Afiliação 1 Univ Oxford, Sch Geog & Environm, Oxford, England
 2 Univ Oxford, Sch Geog & Environm, Oxford, England
 3 Univ Oxford, Sch Geog & Environm, Oxford, England
 4 Univ Oxford, Sch Geog & Environm, Oxford, England
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Univ Leeds, Sch Geog, Earth & Biosphere Inst, Leeds LS2 9JT, W Yorkshire England
 7 Univ Leeds, Sch Geog, Earth & Biosphere Inst, Leeds LS2 9JT, W Yorkshire England
 8 Fed Univ Para, BR-66059 Belem, Para Brazil
 9 Inst Natl Pesquisas Amazonia, Manaus, Amazonas Brazil
10 Inst Natl Pesquisas Amazonia, Manaus, Amazonas Brazil
11 Smithsonian Trop Res Inst, Balboa, Panama
12
13 Univ Nacl San Antonia Abad Cusco, Herbario Vargas, Cuzco, Peru
14 Univ Nacl San Antonia Abad Cusco, Herbario Vargas, Cuzco, Peru
15 Univ Leeds, Sch Geog, Earth & Biosphere Inst, Leeds LS2 9JT, W Yorkshire England
16 Univ Leeds, Sch Geog, Earth & Biosphere Inst, Leeds LS2 9JT, W Yorkshire England
17 Museu Paraense Emilio Goeldi, Belem, Para Brazil
Endereço de e-Mail do Autor 1 liana.anderson@ouce.ox.ac.uk
Endereço de e-Mailliana.anderson@ouce.ox.ac.uk
RevistaBiogeosciences
Volume6
Número9
Páginas1883-1902
Histórico (UTC)2009-12-23 14:00:46 :: lattes -> marciana ::
2010-01-04 17:51:35 :: marciana -> administrator ::
2010-01-26 15:36:55 :: administrator -> marciana ::
2010-05-11 14:45:40 :: marciana -> administrator ::
2010-05-12 02:06:39 :: administrator -> marciana ::
2011-12-07 11:31:33 :: marciana -> administrator :: 2009
2016-06-04 01:08:39 :: administrator -> marciana :: 2009
2016-10-04 14:18:26 :: marciana -> administrator :: 2009
2018-06-05 00:12:55 :: administrator -> marciana :: 2009
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chave: aboveground biomass
carbon cycle
forestry production
geomorphology
Landsat thematic mapper
landscape structure
remote sensing
wood
Amazonia
Heliconia
ResumoLong-term studies using the RAINFOR network of forest plots have generated significant insights into the spatial and temporal dynamics of forest carbon cycling in Amazonia. In this work, we map and explore the landscape context of several major RAINFOR plot clusters using Landsat ETM+ satellite data. In particular, we explore how representative the plots are of their landscape context, and test whether bias in plot location within landscapes may be influencing the regional mean values obtained for important forest biophysical parameters. Specifically, we evaluate whether the regional variations in wood productivity, wood specific density and above ground biomass derived from the RAINFOR network could be driven by systematic and unintentional biases in plot location. Remote sensing data covering 45 field plots were aggregated to generate landscape maps to identify the specific physiognomy of the plots. In the Landsat ETM+ data, it was possible to spectrally differentiate three types of terra firme forest, three types of forests over Paleovarzea geomorphologycal formation, two types of bamboo-dominated forest, palm forest, Heliconia monodominant vegetation, swamp forest, disturbed forests and land use areas. Overall, the plots were generally representative of the forest physiognomies in the landscape in which they are located. Furthermore, the analysis supports the observed regional trends in those important forest parameters. This study demonstrates the utility of landscape scale analysis of forest physiognomies for validating and supporting the finds of plot based studies. Moreover, the more precise geolocation of many key RAINFOR plot clusters achieved during this research provides important contextual information for studies employing the RAINFOR database.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Influence of landscape...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/J8LNKAN8RW/36KNMEH
URL dos dados zipadoshttp://urlib.net/zip/J8LNKAN8RW/36KNMEH
Idiomaen
Arquivo Alvobg-6-1883-2009.pdf
Grupo de Usuáriosadministrator
lattes
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
URL (dados não confiáveis)http://www.cosis.net/members/journals/df/recent.php?j_id=8
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasDOAJ Directory of Open Access Journals Free
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination format isbn issn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarymark secondarytype session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
7. Controle da descrição
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