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| Registros recuperados : 123 | |
| 41. |  | FAVARIN, J. L.; VILLA NOVA, N. A.; ANGELOCCI, L. R.; DOURADO NETO, D.; BERNARDES, M. S. Estimativa do consumo hídrico do cafeeiro em função de parâmetros climatológicos. Revista Brasileira de Agrometeorologia, Santa Maria, v. 9, n. 2, p. 235-240, 2001.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 42. | | SCHMIDT, W.; DOURADO NETO, D.; FANCELLI, A. L.; MANFRON, P. A. Ensaio de dose-resposta de Clorpirifos no controle de larva alfinete (Diabrotica speciosa) (Coleoptera: Chrysomelidae) em milho, aplicado por pivô central. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 3, n. 2, p. 153-160, 2004.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 46. | | LIMA, F. Z. de; COSTA, L. C.; PEREIRA, C. R.; DOURADO NETO, D.; CONFALONE, A. E. Efeito do estresse de luz e água na eficiência do uso da radiação solar pela cultura da soja (Glicyne max (L.) Merrill). Revista Brasileira de Agrometeorologia, Santa Maria, v. 12, n. 1, p. 1-7, 2004.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Rondônia. |
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| 47. | | KLUTHCOUSKI, J.; FANCELLI, A. L.; DOURADO-NETO, D.; RIBEIRO, C. M.; FERRARO, L. A. Manejo do solo e o rendimento de soja, milho, feijão e arroz em plantio direto. Scientia Agricola, v. 57, n. 1, p. 97-104, jan./mar. 2000.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 54. | | MAIA, A. de H. N.; NARCISO, M. G.; DOURADO NETO, D. Sistema para avaliação de risco de resistência de insetos a toxinas Bt expressas em culturas transgênicas. iN: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 11., 2017, Campinas. Ciência de dados na era da agricultura digital: anais. Campinas, Editora da Unicamp: Embrapa Informática Agropecuária, 2017. Organizadores: Jayme Garcia Arnal Barbedo, Maria Fernanda Moura, Luciana Alvim Santos Romani, Thiago Teixeira Santos, Débora Pignatari Drucker. SBIAgro 2017. p. 307-316| Biblioteca(s): Embrapa Meio Ambiente. |
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| 55. | | MOLIN, J. P.; VIEIRA JUNIOR, P. A.; DOURADO NETO, D.; FAULIN, G. di C.; MASCARIN, L. Variação espacial na produtividade de milho safrinha devido aos macronutrientes e à população de plantas. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 6, n. 3, p. 309-324, 2007.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 56. | | CORREA, S. T. R.; DOURADO NETO, D.; LORENÇONI, R.; SCARPARE, F. V.; VIVIAN, R.; RUIZ, E. T. Aplicações e limitações da modelagem em agricultura: revisão. Revista de Agricultura, Piracicaba, v. 86, n. 1, p. 1-13, 2011.| Biblioteca(s): Embrapa Meio-Norte. |
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| 58. | | VIVIAN, R.; DOURADO-NETO, D.; SILVA, A. A.; VICTORIA FILHO, R.; YEDA, M. P.; RUIZ-CORRÊA, S. Análise de crescimento de erva-de-touro em competição com soja cultivada sob deficiência hídrica. Planta Daninha, Viçosa, MG, v. 31, n. 3, p. 599-610, 2013.| Biblioteca(s): Embrapa Meio-Norte. |
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| 59. | | DOURADO NETO, D.; ASSIS, J. P. de; TIMM, L. C.; MANFRON, P. A.; SPAROVEK, G.; MARTIN, T. N. Ajuste de modelos de distribuição de probabilidade a séries históricas de precipitação pluvial diária em Piracicaba-SP. Revista Brasileira de Agrometeorologia, Piracicaba, v. 13, n. 2, p. 273-283, 2005.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 60. | | ASSIS, J. P. de; DOURADO NETO, D.; MANFRON, P. A.; MARTIN, T. N.; SPAROVEK, G.; TIMM, L. C. Ajuste de séries históricas de temperatura e radiação solar global diária às funções densidade de probabilidade normal e log-normal, em Piracicaba, SP. Revista Brasileira de Agrometeorologia, Santa Maria, v. 12, n. 1, p. 113-121, 2004.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 123 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
|
Data corrente: |
19/05/1998 |
|
Data da última atualização: |
14/09/2020 |
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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: |
NOONAN, M. J.; FLEMING, C. H.; TUCKER, M. A.; KAYS, R.; HARRISON, AUTUMN-LYNN; CROFOOT, M. C.; ABRAHMS, B.; ALBERTS, S.; ALI, A. H.; ALTMANN, J.; ANTUNES, P. C.; ATTIAS, N.; BELANT, J. L.; BEYER JUNIOR, D. E.; BIDNER, L. R.; BLAUM, N.; BOONE, R. B.; CAILLAUD, D.; PAULA, R. C. de; DE LA TORRE, J. A.; DEKKER, J.; DEPERNO, C. S.; FARHADINIA, M.; FENNESSY, J.; FICHTEL, C.; FISCHER, C.; FORD, A.; GOHEEN, J. R.; HAVMØLLER, R. W.; HIRSCH, B. T.; HURTADO, C.; ISBELL, L. A.; JANSSEN, R.; JELTSCH, F.; KACZENSKY, P.; KANEKO, Y.; KAPPELER, P.; KATNA, A.; KAUFFMAN, M.; KOCH, F.; KULKARNI, A; LAPOINT, S.; LEIMGRUBER, P.; MACDONALD, D. W.; MARKHAM, A. C.; MCMAHON, L.; MERTES, K.; MOORMAN, C. E.; MORATO, R. G.; MOßBRUCKER, A. M.; MOURAO, G.; O'CONNOR, D.; OLIVEIRA-SANTOS, L. G. R.; PASTORINI, J.; PATTERSON, B. D.; RACHLOW, J.; RANGLACK, D. H.; REID, N.; SCANTLEBURY, D. M.; SCOTT, D. M.; SELVA, N.; SERGIEL, A.; SONGER, M.; SONGSASEN, N.; STABACH, J. A.; STACY-DAWES, J.; SWINGEN, M. B.; THOMPSON, J. J.; ULLMANN, W.; VANAK, A. T.; THAKER, M.; WILSON, J. W.; YAMAZAKI, K.; YARNELL, R. W.; ZIEBA, F.; ZWIJACZ-KOZICA, T.; FAGAN, W. F.; MUELLER, T.; CALABRESE, J. M. |
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Afiliação: |
MICHAEL J. NOONAN, Smithsonian Conservation Biology Institute, National Zoological Park; CHRISTEN H. FLEMING, University of Maryland; MARLEE A. TUCKER, Senckenberg Biodiversity and Climate Research Centre; ROLAND KAYS, Museum of Natural Sciences, Biodiversity Lab, Raleigh; AUTUMN-LYNN HARRISON, Smithsonian Conservation Biology Institute, Washington, D.C; MARGARET C. CROFOOT, University of California, Davis; BRIANA ABRAHMS, NOAA Southwest Fisheries Science Center; SUSAN C. ALBERTS, Duke University, Durham; ABDULLAHI H. ALI, Hirola Conservation Programme, Garissa; JEANNE ALTMANN, Princeton University; PAMELA CASTRO ANTUNES, Federal University of Mato Grosso do Sul, Campo Grande, MS; NINA ATTIAS, Universidade Federal do Mato Grosso do Sul, Campo Grande; JERROLD L. BELANT, College of Environmental Science and Forestry, Syracuse; DEAN E. BEYER JUNIOR, Michigan Department of Natural Resources; LAURA R. BIDNER, Mpala Research Centre, Nanyuki; NIELS BLAUM, University of Potsdam, Plant Ecology and Nature Conservation; RANDALL B. BOONE, Colorado State University, Fort Collins; DAMIEN CAILLAUD, Colorado State University; ROGERIO CUNHA DE PAULA, Chico Mendes Institute for the Conservation of Biodiversity; J. ANTONIO DE LA TORRE, Universidad Nacional Autónoma de Mexico and CONACyT; JASJA DEKKER, Jasja Dekker Dierecologie; CHRISTOPHER S. DEPERNO, University of Oxford, Tubney House; MOHAMMAD FARHADINIA, Future4Leopards Foundation, Tehran; JULIAN FENNESSY, Giraffe Conservation Foundation, PO; CLAUDIA FICHTEL, German Primate Center, Behavioral Ecology & Sociobiology Unit; CHRISTINA FISCHER, Restoration Ecology, Department of Ecology and Ecosystem Management; ADAM FORD, The University of British Columbia; JACOB R. GOHEEN, University of Wyoming, Laramie; RASMUS W. HAVMØLLER, University of California, Davis; BEN T. HIRSCH, James Cook University, Townsville; CINDY HURTADO, Universidad Nacional Mayor de San Marcos, Lima; LYNNE A. ISBELL, Mpala Research Centre, Nanyuki; RENÉ JANSSEN, 6Bionet Natuuronderzoek, Valderstraat; FLORIAN JELTSCH, University of Potsdam, Plant Ecology and Nature Conservation; PETRA KACZENSKY, Norwegian Institute for Nature Research - NINA; YAYOI KANEKO, Tokyo University of Agriculture and Technology, Tokyo; PETER KAPPELER, Ashoka Trust for Research in Ecology and the Environment (ATREE); ANJAN KATNA, Ashoka Trust for Research in Ecology and the Environment (ATREE), Bangalore; MATTHEW KAUFFMAN, University of Wyoming, Laramie, WY; FLAVIA KOCH, German Primate Center, Behavioral Ecology & Sociobiology Unit; ABHIJEET KULKARNI, Ashoka Trust for Research in Ecology and the Environment (ATREE); SCOTT LAPOINT, Manipal Academy of Higher Education, Manipal; PETER LEIMGRUBER, University of Wyoming; DAVID W. MACDONALD, Max Planck Institute for Ornithology; A. CATHERINE MARKHAM, Black Rock Forest; LAURA MCMAHON, Office of Applied Science, Department of Natural Resources; KATHERINE MERTES, Institute for the Conservation of Neotropical Carnivores; CHRISTOPHER E. MOORMAN, Frankfurt Zoological Society, Bernhard-Grzimek-Allee; RONALDO G. MORATO, National Research Center for Carnivores Conservation; ALEXANDER M. MOßBRUCKER, Frankfurt Zoological Society, Bernhard-Grzimek-Allee; GUILHERME DE MIRANDA MOURAO, CPAP; DAVID O'CONNOR, San Diego Zoo Institute of Conservation Research; LUIZ GUSTAVO R. OLIVEIRA-SANTOS, National Geographic Partners; JENNIFER PASTORINI, Federal University of Mato Grosso do Sul; BRUCE D. PATTERSON, Centre for Conservation and Research, Sri Lanka; JANET RACHLOW, Anthropologisches Institut, Switzerland; DUSTIN H. RANGLACK, University of Nebraska at Kearney, Kearney; NEIL REID, Queen's University Belfast, Belfast; DAVID M. SCANTLEBURY, Queen's University Belfast; DAWN M. SCOTT, Keele University, Keele; NURIA SELVA, Institute of Nature Conservation, Polish Academy of Sciences; AGNIESZKA SERGIEL, Treaty Authority, Duluth; MELISSA SONGER, Asociación Guyra Paraguay-CONACYT; NUCHARIN SONGSASEN, Instituto Saite, Paraguay; JARED A. STABACH, Wellcome Trust/DBT India Alliance, Hyderabad, India; JENNA STACY-DAWES, University of KwaZulu-Natal, Westville, Durban; MORGAN B. SWINGEN, Indian Institute of Science, Bangalore, India; JEFFREY J. THOMPSON, University of Pretoria; WIEBKE ULLMANN, Ibaraki Nature Museum, Osaki; ABI TAMIM VANAK, University of Agriculture, Tokyo; MARIA THAKER, Nottingham Trent University, Brackenhurst Campus; JOHN W. WILSON, University of Pretoria, Pretoria; KOJI YAMAZAKI, Ibaraki Nature Museum, Osaki; RICHARD W. YARNELL, Nottingham Trent University, Brackenhurst Campus; FILIP ZIEBA, Tatra National Park, Zakopane; TOMASZ ZWIJACZ-KOZICA, Tatra National Park, Zakopane; WILLIAM F. FAGAN, University of Maryland, College Park; THOMAS MUELLER, Senckenberg Gesellschaft für Naturforschung, Frankfurt; JUSTIN M. CALABRESE, National Zoological Park, Front Royal. |
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Título: |
Effects of body size on estimation of mammalian area requirements. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Conservation Biology, v.34, n. 4, p. 1017-1028, 2020. |
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DOI: |
10.1111/cobi.13495 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Accurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied blockcross validation to quantify bias in empirical home range estimates. Area requirements of mammals < 10 kg were underestimated by a mean approximately 15%, and species weighing approximately 100 kg were underestimatedby approximately 50% on average. Thus, we found area estimation was subject to autocorrelation induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, theallometric scaling of bias we observed suggests the most threatened species are also likely to be those with theleast accurate home range estimates. As a correction, we tested whether data thinning or autocorrelation informedhome range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning requiredan approximately 93% data loss to achieve statistical independence with 95% confidence and was, therefore, nota viable solution. In contrast, autocorrelation informed home range estimation resulted in consistently accurateestimates irrespective of mass. When relating body mass to home range size, we detected that correcting forautocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changedsubstantially at the upper end of the mass spectrum. MenosAccurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied blockcross validation to quantify bias in empirical home range estimates. Area requirements of mammals < 10 kg were underestimated by a mean approximately 15%, and species weighing approximately 100 kg were underestimatedby approximately 50% on average. Thus, we found area estimation was subject to autocorrelation induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, theallometric scaling of bias we observed suggests the most threatened species are also likely to be those with theleast accurate home range estimates. As a correction, we tested whether data thinning or autocorrelation informedhome range estimation minimized the scaling effect of autocorrelation on ar... Mostrar Tudo |
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Thesagro: |
Comportamento Animal; Conservação; Mamífero. |
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Thesaurus NAL: |
Animal behavior; Conservation status; Home range; Mammals. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215878/1/BodySizeEstimation2020.pdf
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Marc: |
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024 7 $a10.1111/cobi.13495$2DOI
100 1 $aNOONAN, M. J.
245 $aEffects of body size on estimation of mammalian area requirements.
260 $c2020
520 $aAccurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied blockcross validation to quantify bias in empirical home range estimates. Area requirements of mammals < 10 kg were underestimated by a mean approximately 15%, and species weighing approximately 100 kg were underestimatedby approximately 50% on average. Thus, we found area estimation was subject to autocorrelation induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, theallometric scaling of bias we observed suggests the most threatened species are also likely to be those with theleast accurate home range estimates. As a correction, we tested whether data thinning or autocorrelation informedhome range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning requiredan approximately 93% data loss to achieve statistical independence with 95% confidence and was, therefore, nota viable solution. In contrast, autocorrelation informed home range estimation resulted in consistently accurateestimates irrespective of mass. When relating body mass to home range size, we detected that correcting forautocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changedsubstantially at the upper end of the mass spectrum.
650 $aAnimal behavior
650 $aConservation status
650 $aHome range
650 $aMammals
650 $aComportamento Animal
650 $aConservação
650 $aMamífero
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700 1 $aTUCKER, M. A.
700 1 $aKAYS, R.
700 1 $aHARRISON, AUTUMN-LYNN
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700 1 $aABRAHMS, B.
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700 1 $aCAILLAUD, D.
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700 1 $aZIEBA, F.
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700 1 $aFAGAN, W. F.
700 1 $aMUELLER, T.
700 1 $aCALABRESE, J. M.
773 $tConservation Biology$gv.34, n. 4, p. 1017-1028, 2020.
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