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Registro Completo |
Biblioteca(s): |
Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Roraima. |
Data corrente: |
19/09/2022 |
Data da última atualização: |
13/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MARCA-ZEVALLOS, M. J.; MOULATLET, G. M.; SOUSA, T. R.; SCHIETTI, J.; COELHO, L. de S.; RAMOS, J. F.; LIMA FILHO, D. de A.; AMARAL, I. L.; MATOS, F. D. de A.; RINCÓN, L. M.; REVILLA, J. D. C.; PANSONATO, M. P.; GRIBEL, R.; BARBOSA, E. M.; MIRANDA, I. P. de A.; BONATES, L. C. de M.; GUEVARA, J. E.; SALOMÃO, R. P.; FERREIRA, L. V.; AMARAL, D. D. do; PITMAN, N. C. A.; VRIESENDORP, C.; BAKER, T. R.; BRIENEN, R.; CARIM, M. de J. V.; GUIMARÃES, J. R. da S.; VARGAS, P. N.; HUAMANTUPA-CHUQUIMACO, I.; LAURANCE, W. F.; LAURANCE, S. G. W.; ANDRADE, A.; CAMARGO, J. L.; MENDOZA, A. M.; VASQUEZ, R.; GAMARRA, L. V.; MOGOLLÓN, H. F.; MARIMON-JUNIOR, B. H.; MARIMON, B. S.; KILLEEN, T. J.; FARIAS, E. de S.; NEILL, D.; MEDEIROS, M. B. de; SIMON, M. F.; TERBORGH, J.; MONTERO, J. C.; LICONA, J. C.; MOSTACEDO, B.; GARCÍA-VILLACORTA, R.; ARAUJO-MURAKAMI, A.; ARROYO, L.; VILLARROEL, D.; DÁVILA, N.; SOUZA, F. C. de; CARVALHO, F. A.; COMISKEY, J. A.; ALONSO, A.; DALLMEIER, F.; OLIVEIRA, A. A.; CASTILHO, C. V. de; LLOYD, J.; FELDPAUSCH, T. R.; PAREDES, M. R.; ARBOLEDA, N. C.; LÓPEZ, D. C.; CORREDOR, G. A. A.; FIORE, A. di; RUDAS, A.; PRIETO, A.; BARBOSA, F. R.; NORONHA, J. C.; RODRIGUES, D. de J.; CARPANEDO, R. de S.; CORONADO, E. N. H.; PERES, C. A.; MILLIKEN, W.; FUENTES, A.; TELLO, J. S.; CERÓN, C.; KLITGAARD, B.; TIRADO, M.; SIERRA, R.; YOUNG, K. R.; RIVAS-TORRES, G. F.; STEVENSON, P. R.; CANO, A.; WANG, O.; BAIDER, C.; BARLOW, J.; FERREIRA, J. N.; BERENGUER, E.; STROPP, J.; BALSLEV, H.; REATEGUI, M. A. A.; MESONES, I.; SANDOVAL, E. H. V.; GONZALES, T.; PANSINI, S.; REIS, N. F. C.; SAMPAIO, A. F.; VOS, V. A.; CUENCA, W. P.; MANZATTO, A. G.; FARFAN-RIOS, W.; SILMAN, M. R.; GARCIA-CABRERA, K.; HILDEBRAND, P. von; GUEDES, M. C.; COSTA, J. B. P.; PHILLIPS, J. F.; VELA, C. I. A.; TOLEDO, J. J. de; PAULETTO, D.; VALVERDE, F. C.; UMAÑA, M. N.; PHILLIPS, O. L.; MAGNUSSON, W. E.; STEEGE, H. ter; COSTA, F. R. C. |
Afiliação: |
MANUEL J. MARCA-ZEVALLOS, Inst. Nacional de Pesquisas da Amazônia; GABRIEL M. MOULATLET, Univ. Regional Amazónica Ikiam, Tena, Mexico; THAIANE R. SOUSA, Inst. Nacional de Pesquisas da Amazônia, Brazil; JULIANA SCHIETTI, Inst. Nacional de Pesquisas da Amazônia; LUIZ DE SOUZA COELHO, Inst. Nacional de Pesquisas da Amazônia; JOSÉ FERREIRA RAMOS, Inst. Nacional de Pesquisas da Amazônia; DIOGENES DE ANDRADE LIMA FILHO, Inst. Nacional de Pesquisas da Amazônia; IÊDA LEÃO AMARAL, Inst. Nacional de Pesquisas da Amazônia; FRANCISCA DIONÍZIA DE ALMEIDA MATOS, Inst. Nacional de Pesquisas da Amazônia; LORENA M. RINCÓN, Inst. Nacional de Pesquisas da Amazônia; JUAN DAVID CARDENAS REVILLA, Inst. Nacional de Pesquisas da Amazônia; MARCELO PETRATTI PANSONATO, Inst. Nacional de Pesquisas da Amazônia; ROGÉRIO GRIBEL, Inst. Nacional de Pesquisas da Amazônia; EDELCILIO MARQUES BARBOSA, Inst. Nacional de Pesquisas da Amazônia; IRES PAULA DE ANDRADE MIRANDA, Inst. Nacional de Pesquisas da Amazônia; LUIZ CARLOS DE MATOS BONATES, Inst. Nacional de Pesquisas da Amazônia; JUAN ERNESTO GUEVARA, Univ. de las Américas, Ecuador; RAFAEL P. SALOMÃO, Univ. Federal Rural da Amazônia; LEANDRO VALLE FERREIRA, Museu Paraense Emílio Goeldi; DÁRIO DANTAS DO AMARAL, Museu Paraense Emílio Goeldi; NIGEL C. A. PITMAN, The Field Museum, Chicago, USA; CORINE VRIESENDORP, The Field Museum, USA; TIM R. BAKER, Univ. of Leeds, UK; ROEL BRIENEN, Univ. of Leeds, UK; MARCELO DE JESUS VEIGA CARIM, Inst. de Pesquisas Científicas e Tecnológicas do Amapá; JOSÉ RENAN DA SILVA GUIMARÃES, Inst. de Pesquisas Científicas e Tecnológicas do Amapá; PERCY NÚÑEZ VARGAS, Univ. Nacional de San Antonio Abad del Cusco, Peru; ISAU HUAMANTUPA-CHUQUIMACO, Univ. Nacional de San Antonio Abad del Cusco, Peru; WILLIAM F. LAURANCE, James Cook Univ., Australia; SUSAN G. W. LAURANCE, James Cook Univ., Cairns, Australia; ANA ANDRADE, Inst. Nacional de Pesquisas da Amazônia; JOSÉ LUÍS CAMARGO, Inst. Nacional de Pesquisas da Amazônia; ABEL MONTEAGUDO MENDOZA, Jardín Botánico de Missouri, Oxapampa, Peru; RODOLFO VASQUEZ, Jardín Botánico de Missouri, Peru; LUIS VALENZUELA GAMARRA, Jardín Botánico de Missouri, Peru; HUGO F. MOGOLLÓN, Endangered Species Coalition, USA; BEN HUR MARIMON-JUNIOR, Univ. do Estado de Mato Grosso; BEATRIZ S. MARIMON, Univ. do Estado de Mato Grosso; TIMOTHY J. KILLEEN, Agteca-Amazonica, Bolivia; EMANUELLE DE SOUSA FARIAS, Inst. Leônidas e Maria Deane, Fiocruz; DAVID NEILL, Univ. Estatal Amazónica, Ecuador; MARCELO BRILHANTE DE MEDEIROS, Cenargen; MARCELO FRAGOMENI SIMON, Cenargen; JOHN TERBORGH, James Cook Univ., Australia; JUAN CARLOS MONTERO, Inst. Nacional de Pesquisas da Amazônia; JUAN CARLOS LICONA, Inst. Boliviano de Investigacion Forestal, Bolivia; BONIFACIO MOSTACEDO, Univ. Autónoma Gabriel René Moreno, Bolivia; ROOSEVELT GARCÍA-VILLACORTA, Cornell Univ., USA; ALEJANDRO ARAUJO-MURAKAMI, Univ. Autónoma Gabriel Rene Moreno, Bolivia; LUZMILA ARROYO, Univ. Autónoma Gabriel Rene Moreno, Bolivia; DANIEL VILLARROEL, Univ. Autónoma Gabriel Rene Moreno, Bolivia; NÁLLARETT DÁVILA, Univ. Estadual de Campinas; FERNANDA COELHO DE SOUZA, Univ. of Leeds, UK; FERNANDA ANTUNES CARVALHO, Inst. Nacional de Pesquisas da Amazônia; JAMES A. COMISKEY, National Park Service, USA; ALFONSO ALONSO, Smithsonian Conservation Biology Inst., USA; FRANCISCO DALLMEIER, Smithsonian Conservation Biology Inst., USA; ALEXANDRE A. OLIVEIRA, Univ. de Sao Paulo; CAROLINA VOLKMER DE CASTILHO, CPAF-RR; JON LLOYD, Imperial College London, UK; TED R. FELDPAUSCH, Univ. of Leeds, UK; MARCOS RÍOS PAREDES, Servicios de Biodiversidad EIRL, Peru; NICOLÁS CASTAÑO ARBOLEDA, Herbario Amazónico Colombiano, Inst. SINCHI, Colombia; DAIRON CÁRDENAS LÓPEZ, Herbario Amazónico Colombiano, Inst. SINCHI, Colombia; GERARDO A. AYMARD CORREDOR, Herbario Universitario (PORT), UNELLEZ-Guanare, Venezuela; ANTHONY DI FIORE, Univ. of Texas at Austin, USA; AGUSTÍN RUDAS, Univ. Nacional de Colombia, Colombia; ADRIANA PRIETO, Univ. Nacional de Colombia, Colombia; FLÁVIA RODRIGUES BARBOSA, Federal Univ. of Mato Grosso; JANAÍNA COSTA NORONHA, Federal Univ. of Mato Grosso; DOMINGOS DE JESUS RODRIGUES, Federal Univ. of Mato Grosso; RAINIELLEN DE SÁ CARPANEDO, Federal Univ. of Mato Grosso; EURÍDICE N. HONORIO CORONADO, Univ. of Leeds, UK; CARLOS A. PERES, Univ. of East Anglia, UK; WILLIAM MILLIKEN, Royal Botanic Gardens, UK; ALFREDO FUENTES, Univ. UMSA, Bolivia; J. SEBASTIÁN TELLO, Missouri Botanical Garden, USA; CARLOS CERÓN, Univ. Central, Ecuador; BENTE KLITGAARD, Royal Botanic Gardens, Kew, UK; MILTON TIRADO, GeoIS, Quito, Ecuador; RODRIGO SIERRA, GeoIS, Quito, Ecuador; KENNETH R. YOUNG, Univ. of Texas at Austin, USA; GONZALO FRANCISCO RIVAS-TORRES, Univ. San Francisco de Quito-USFQ, Ecuador; PABLO R. STEVENSON, Univ. de los Andes, Colombia; ANGELA CANO, Univ. de los Andes, Colombia; OPHELIA WANG, Northern Arizona Univ., USA; CLÁUDIA BAIDER, Univ. de Sao Paulo; JOS BARLOW, Lancaster Univ., UK; JOICE NUNES FERREIRA, CPATU; ERIKA BERENGUER, Lancaster Univ., UK; JULIANA STROPP, Museo Nacional de Ciencias Naturales (MNCN-CSIC), Spain; HENRIK BALSLEV, Aarhus Univ., Denmark; MANUEL AUGUSTO AHUITE REATEGUI, PLUSPRETOL, Peru; ITALO MESONES, Univ. of California, USA; ELVIS H. VALDERRAMA SANDOVAL, Univ. of Missouri, USA; THERANY GONZALES, ACEER Foundation, Peru; SUSAMAR PANSINI, Univ. Federal de Rondônia; NEIDIANE FARIAS COSTA REIS, Univ. Federal de Rondônia; ADEILZA FELIPE SAMPAIO, Univ. Federal de Rondônia; VINCENT ANTOINE VOS, Univ. Autónoma del Beni José Ballivián, Bolivia; WALTER PALACIOS CUENCA, Cambridge Univ. Botanic Garden, UK; ANGELO GILBERTO MANZATTO, Univ. Federal de Rondônia; WILLIAM FARFAN-RIOS, Univ. Nacional de San Antonio Abad del Cusco, Peru; MILES R. SILMAN, Wake Forest Univ., USA; KARINA GARCIA-CABRERA, Wake Forest Univ., USA; PATRICIO VON HILDEBRAND, Fundación Estación de Biología, Colombia; MARCELINO CARNEIRO GUEDES, CPAF-AP; JANAINA BARBOSA PEDROSA COSTA; JUAN FERNANDO PHILLIPS, Fundación Puerto Rastrojo, Colombia; CÉSAR I. A. VELA, Univ. Nacional de San Antonio Abad del Cusco, Peru; JOSÉ JULIO DE TOLEDO, Univ. Federal do Amapá; DANIELA PAULETTO, Univ. Federal do Oeste do Pará; FERNANDO CORNEJO VALVERDE, Andes to Amazon Biodiversity Program, Peru; MARIA NATALIA UMAÑA, Univ. of Michigan, USA; OLIVER L. PHILLIPS, Univ. of Leeds, Leeds, UK; WILLIAM E. MAGNUSSON, Inst. Nacional de Pesquisas da Amazônia; HANS TER STEEGE, Vrije Univ. Amsterdam, the Netherlands; FLÁVIA R. C. COSTA, Inst. Nacional de Pesquisas da Amazônia. |
Título: |
Local hydrological conditions influence tree diversity and composition across the Amazon basin. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Ecography, v. 11, 2022. |
DOI: |
https://doi.org/10.1111/ecog.06125 |
Idioma: |
Inglês |
Conteúdo: |
Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending over wide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures. MenosTree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian f... Mostrar Tudo |
Palavras-Chave: |
Amazon basin; HAND; Species composition; Tree diversity. |
Thesaurus Nal: |
Wood density. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146604/1/Ecography-2022-Marca8208Zevallos-Local-hydrological-conditions-influence-tree-diversity-and-composition-across-the-1.pdf
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Marc: |
LEADER 06087naa a2201597 a 4500 001 2146720 005 2023-03-13 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1111/ecog.06125$2DOI 100 1 $aMARCA-ZEVALLOS, M. J. 245 $aLocal hydrological conditions influence tree diversity and composition across the Amazon basin.$h[electronic resource] 260 $c2022 520 $aTree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending over wide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures. 650 $aWood density 653 $aAmazon basin 653 $aHAND 653 $aSpecies composition 653 $aTree diversity 700 1 $aMOULATLET, G. M. 700 1 $aSOUSA, T. R. 700 1 $aSCHIETTI, J. 700 1 $aCOELHO, L. de S. 700 1 $aRAMOS, J. F. 700 1 $aLIMA FILHO, D. de A. 700 1 $aAMARAL, I. L. 700 1 $aMATOS, F. D. de A. 700 1 $aRINCÓN, L. M. 700 1 $aREVILLA, J. D. C. 700 1 $aPANSONATO, M. P. 700 1 $aGRIBEL, R. 700 1 $aBARBOSA, E. M. 700 1 $aMIRANDA, I. P. de A. 700 1 $aBONATES, L. C. de M. 700 1 $aGUEVARA, J. E. 700 1 $aSALOMÃO, R. P. 700 1 $aFERREIRA, L. V. 700 1 $aAMARAL, D. D. do 700 1 $aPITMAN, N. C. A. 700 1 $aVRIESENDORP, C. 700 1 $aBAKER, T. R. 700 1 $aBRIENEN, R. 700 1 $aCARIM, M. de J. V. 700 1 $aGUIMARÃES, J. R. da S. 700 1 $aVARGAS, P. N. 700 1 $aHUAMANTUPA-CHUQUIMACO, I. 700 1 $aLAURANCE, W. F. 700 1 $aLAURANCE, S. G. W. 700 1 $aANDRADE, A. 700 1 $aCAMARGO, J. L. 700 1 $aMENDOZA, A. M. 700 1 $aVASQUEZ, R. 700 1 $aGAMARRA, L. V. 700 1 $aMOGOLLÓN, H. F. 700 1 $aMARIMON-JUNIOR, B. H. 700 1 $aMARIMON, B. S. 700 1 $aKILLEEN, T. J. 700 1 $aFARIAS, E. de S. 700 1 $aNEILL, D. 700 1 $aMEDEIROS, M. B. de 700 1 $aSIMON, M. F. 700 1 $aTERBORGH, J. 700 1 $aMONTERO, J. C. 700 1 $aLICONA, J. C. 700 1 $aMOSTACEDO, B. 700 1 $aGARCÍA-VILLACORTA, R. 700 1 $aARAUJO-MURAKAMI, A. 700 1 $aARROYO, L. 700 1 $aVILLARROEL, D. 700 1 $aDÁVILA, N. 700 1 $aSOUZA, F. C. de 700 1 $aCARVALHO, F. A. 700 1 $aCOMISKEY, J. A. 700 1 $aALONSO, A. 700 1 $aDALLMEIER, F. 700 1 $aOLIVEIRA, A. A. 700 1 $aCASTILHO, C. V. de 700 1 $aLLOYD, J. 700 1 $aFELDPAUSCH, T. R. 700 1 $aPAREDES, M. R. 700 1 $aARBOLEDA, N. C. 700 1 $aLÓPEZ, D. C. 700 1 $aCORREDOR, G. A. A. 700 1 $aFIORE, A. di 700 1 $aRUDAS, A. 700 1 $aPRIETO, A. 700 1 $aBARBOSA, F. R. 700 1 $aNORONHA, J. C. 700 1 $aRODRIGUES, D. de J. 700 1 $aCARPANEDO, R. de S. 700 1 $aCORONADO, E. N. H. 700 1 $aPERES, C. A. 700 1 $aMILLIKEN, W. 700 1 $aFUENTES, A. 700 1 $aTELLO, J. S. 700 1 $aCERÓN, C. 700 1 $aKLITGAARD, B. 700 1 $aTIRADO, M. 700 1 $aSIERRA, R. 700 1 $aYOUNG, K. R. 700 1 $aRIVAS-TORRES, G. F. 700 1 $aSTEVENSON, P. R. 700 1 $aCANO, A. 700 1 $aWANG, O. 700 1 $aBAIDER, C. 700 1 $aBARLOW, J. 700 1 $aFERREIRA, J. N. 700 1 $aBERENGUER, E. 700 1 $aSTROPP, J. 700 1 $aBALSLEV, H. 700 1 $aREATEGUI, M. A. A. 700 1 $aMESONES, I. 700 1 $aSANDOVAL, E. H. V. 700 1 $aGONZALES, T. 700 1 $aPANSINI, S. 700 1 $aREIS, N. F. C. 700 1 $aSAMPAIO, A. F. 700 1 $aVOS, V. A. 700 1 $aCUENCA, W. P. 700 1 $aMANZATTO, A. G. 700 1 $aFARFAN-RIOS, W. 700 1 $aSILMAN, M. R. 700 1 $aGARCIA-CABRERA, K. 700 1 $aHILDEBRAND, P. von 700 1 $aGUEDES, M. C. 700 1 $aCOSTA, J. B. P. 700 1 $aPHILLIPS, J. F. 700 1 $aVELA, C. I. A. 700 1 $aTOLEDO, J. J. de 700 1 $aPAULETTO, D. 700 1 $aVALVERDE, F. C. 700 1 $aUMAÑA, M. N. 700 1 $aPHILLIPS, O. L. 700 1 $aMAGNUSSON, W. E. 700 1 $aSTEEGE, H. ter 700 1 $aCOSTA, F. R. C. 773 $tEcography$gv. 11, 2022.
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Embrapa Roraima (CPAF-RR) |
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Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
11/11/2016 |
Data da última atualização: |
02/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
FIGUEIREDO, S. M. de M.; VENTICINQUE, E. M.; FIGUEIREDO, E. O. |
Afiliação: |
Symone Maria de Melo Figueiredo, Universidade Federal do Acre; Eduardo Martins Venticinque, Universidade Federal do Rio Grande do Norte; EVANDRO ORFANO FIGUEIREDO, CPAF-Acre. |
Título: |
Spatial scale effects of sampling on the interpolation of species distribution models in the southwestern Amazon. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Revista Árvore, Viçosa, v. 40, n. 4, p. 617-625, 2016. |
ISSN: |
0100-6762 |
DOI: |
10.1590/0100-67622016000400005 |
Idioma: |
Inglês |
Conteúdo: |
Knowledge of the geographical distribution of timber tree species in the Amazon is still scarce. This is especially true at the local level, thereby limiting natural resource management actions. Forest inventories are key sources of information on the occurrence of such species. However, areas with approved forest management plans are mostly located near access roads and the main industrial centers. The present study aimed to assess the spatial scale effects of forest inventories used as sources of occurrence data in the interpolation of potential species distribution models. The occurrence data of a group of six forest tree species were divided into four geographical areas during the modeling process. Several sampling schemes were then tested applying the maximum entropy algorithm, using the following predictor variables: elevation, slope, exposure, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). The results revealed that using occurrence data from only one geographical area with unique environmental characteristics increased both model overfitting to input data and omission error rates. The use of a diagonal systematic sampling scheme and lower threshold values led to improved model performance. Forest inventories may be used to predict areas with a high probability of species occurrence, provided they are located in forest management plan regions representative of the environmental range of the model projection area. |
Palavras-Chave: |
Escala espacial; Interpolação; Interpolación; Interpolation; Inventario forestal; Madera tropical; Modelo de distribuição de espécies; Modelos de distribución de especies; Simulación por computadora; Southwest Amazon; Spatial scale; Species distribution models; Sudoeste da Amazônia. |
Thesagro: |
Essência florestal; Flora; Inventário florestal; Modelo de simulação; População de planta; Programa de computador. |
Thesaurus NAL: |
Computer simulation; Forest inventory; Tropical wood. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149950/1/26198.pdf
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Marc: |
LEADER 02858naa a2200433 a 4500 001 2056281 005 2021-07-02 008 2016 bl uuuu u00u1 u #d 022 $a0100-6762 024 7 $a10.1590/0100-67622016000400005$2DOI 100 1 $aFIGUEIREDO, S. M. de M. 245 $aSpatial scale effects of sampling on the interpolation of species distribution models in the southwestern Amazon.$h[electronic resource] 260 $c2016 520 $aKnowledge of the geographical distribution of timber tree species in the Amazon is still scarce. This is especially true at the local level, thereby limiting natural resource management actions. Forest inventories are key sources of information on the occurrence of such species. However, areas with approved forest management plans are mostly located near access roads and the main industrial centers. The present study aimed to assess the spatial scale effects of forest inventories used as sources of occurrence data in the interpolation of potential species distribution models. The occurrence data of a group of six forest tree species were divided into four geographical areas during the modeling process. Several sampling schemes were then tested applying the maximum entropy algorithm, using the following predictor variables: elevation, slope, exposure, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). The results revealed that using occurrence data from only one geographical area with unique environmental characteristics increased both model overfitting to input data and omission error rates. The use of a diagonal systematic sampling scheme and lower threshold values led to improved model performance. Forest inventories may be used to predict areas with a high probability of species occurrence, provided they are located in forest management plan regions representative of the environmental range of the model projection area. 650 $aComputer simulation 650 $aForest inventory 650 $aTropical wood 650 $aEssência florestal 650 $aFlora 650 $aInventário florestal 650 $aModelo de simulação 650 $aPopulação de planta 650 $aPrograma de computador 653 $aEscala espacial 653 $aInterpolação 653 $aInterpolación 653 $aInterpolation 653 $aInventario forestal 653 $aMadera tropical 653 $aModelo de distribuição de espécies 653 $aModelos de distribución de especies 653 $aSimulación por computadora 653 $aSouthwest Amazon 653 $aSpatial scale 653 $aSpecies distribution models 653 $aSudoeste da Amazônia 700 1 $aVENTICINQUE, E. M. 700 1 $aFIGUEIREDO, E. O. 773 $tRevista Árvore, Viçosa$gv. 40, n. 4, p. 617-625, 2016.
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