| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Ocidental. Para informações adicionais entre em contato com cpaa.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Florestas. |
|
Data corrente: |
27/09/2018 |
|
Data da última atualização: |
18/01/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
BASTIN, J. F.; RUTISHAUSER, E.; KELLNER, J. R.; SAATCHI, S.; PÉLISSIER, R.; HÉRAULT, B.; SLIK, F.; BOGAERT, J.; DE CANNIÈRE, C.; MARSHALL, A. R.; POULSEN, J.; ALVAREZ-LOYAYZA, P.; ANDRADE, A.; ANGBONGA-BASIA, A.; ARAUJO-MURAKAMI, A.; ARROYO, L.; AYYAPPAN, N.; AZEVEDO, C. P. de; BANKI, O.; BARBIER, N.; BARROSO, J. G.; BEECKMAN, H.; BITARIHO, R.; BOECKX, P.; BOEHNING-GAESE, K.; BRANDÃO, H.; BREARLEY, F. Q.; HOCKEMBA, M. B. N.; BRIENEN, R.; CAMARGO, J. L. C.; CAMPOS-ARCEIZ, A.; CASSART, B.; CHAVE, J.; CHAZDON, R.; CHUYONG, G.; CLARK, D. B.; CLARK, C. J.; CONDIT, R.; CORONADO, E. N. H.; DAVIDAR, P.; HAULLEVILLE, T. de; DESCROIX, L.; DOUCET, J-L.; DOURDAIN, A.; DROISSART, V.; DUNCAN, T.; ESPEJO. J. S.; ESPINOSA, S.; FARWIG, N.; FAYOLLE, A.; FELDPAUSCH, T. R.; FERRAZ, A.; FLETCHER, C.; GAJAPERSAD, K.; GILLET, J-F.; AMARAL, I. L. do; GONMADJE, C.; GROGAN, J.; HARRIS, D.; HERZOG, S. K.; HOMEIER, J.; HUBAU, W.; HUBBELL, S. P.; HUFKENS, K.; HURTADO, J.; KAMDEM, N. G.; KEARSLEY, E.; KENFACK, D.; KESSLER, M.; LABRIÈRE, N.; LAUMONIER, Y.; LAURANCE, S.; LAURANCE, W. F.; LEWIS, S. L.; LIBALAH, M. B.; LIGOT, G.; LLOYD, J.; LOVEJOY, T. E.; MALHI, Y.; MARIMON, B. S.; JUNIOR, B. H. M.; MARTIN, E. H.; MATIUS, P.; MEYER, V.; BAUTISTA, C. M.; MONTEAGUDO-MENDOZA, A.; MTUI, A.; NEILL, D.; GUTIERREZ, G. A. P.; PARDO, G.; PARREN, M.; PARTHASARATHY, N.; PHILLIPS, O. L.; PITMAN, N. C. A.; PLOTON, P.; PONETTE, Q.; RAMESH, B. R.; RAZAFIMAHAIMODISON, J-C.; RÉJOU-MÉCHAIN, M.; ROLIM, S. G.; SALTOS, H. R.; ROSSI, L. M. B.; SPIRONELLO, W. R.; ROVERO, F.; SANER, P.; SASAKI, D.; SCHULZE, M.; SILVEIRA, M.; SINGH, J.; SIST, P.; SONKE, B.; SOTO, J. D.; SOUZA, C. R. de; STROPP, J.; SULLIVAN, M. J. P.; SWANEPOEL, B.; STEEGE, H. ter.; TERBORGH, J.; TEXIER, N.; TOMA, T.; VALENCIA, R.; VALENZUELA, L.; FERREIRA, L. V.; VALVERDE, F. C.; ANDEL, T. R. van.; VASQUE, R.; VERBEECK, H.; VIVEK, P.; VLEMINCKX, J.; VOS, V. A.; WAGNER, F. H.; WARSUDI, P. P.; WORTEL, V.; ZAGT, R. J.; ZEBAZE, D. |
|
Afiliação: |
Jean-François Bastin; Ervan Rutishauser; James R. Kellner; Sassan Saatchi; Raphael Pélissier; Bruno Hérault; Ferry Slik; Jan Bogaert; Charles De Cannière; Andrew R. Marshall; John Poulsen; Patricia Alvarez-Loyayza; Ana Andrade; Albert Angbonga-Basia; Alejandro Araujo-Murakami; Luzmila Arroyo; Narayanan Ayyappan; CELSO PAULO DE AZEVEDO, CPAA; Olaf Banki; Nicolas Barbier; Jorcely G. Barroso; Hans Beeckman; Robert Bitariho; Pascal Boeckx; Katrin Boehning-Gaese; Hilandia Brandão; Francis Q. Brearley; Mireille Breuer Ndoundou Hockemba; Roel Brienen; Jose Luis C. Camargo; Ahimsa Campos-Arceiz; Benoit Cassart; Jérôme Chave; Robin Chazdon; Georges Chuyong; David B. Clark; Connie J. Clark; Richard Condit; Euridice N. Honorio Coronado; Priya Davidar; Thalès de Haulleville; Laurent Descroix; Jean?Louis Doucet; Aurelie Dourdain; Vincent Droissart; Thomas Duncan; Javier Silva Espejo; Santiago Espinosa; Nina Farwig; Adeline Fayolle; Ted R. Feldpausch; Antonio Ferraz; Christine Fletcher; Krisna Gajapersad; Jean-François Gillet; Iêda Leão do Amaral; Christelle Gonmadje; James Grogan; David Harris; Sebastian K. Herzog; Jürgen Homeier; Wannes Hubau; Stephen P. Hubbell; Koen Hufkens; Johanna Hurtado; Narcisse G. Kamdem; Elizabeth Kearsley; David Kenfack; Michael Kessler; Nicolas Labrière; Yves Laumonier; Susan Laurance; William F. Laurance; Simon L. Lewis; Moses B. Libalah; Gauthier Ligot; Jon Lloyd; Thomas E. Lovejoy; Yadvinder Malhi; Beatriz S. Marimon; Ben Hur Marimon Junior; Emmanuel H. Martin; Paulus Matius; Victoria Meyer; Casimero Mendoza Bautista; Abel Monteagudo-Mendoza; Arafat Mtui; David Neill; Germaine Alexander Parada Gutierrez; Guido Pardo; Marc Parren; N. Parthasarathy; Oliver L. Phillips; Nigel C. A. Pitman; Pierre Ploton; Quentin Ponette; B. R. Ramesh; Jean-Claude Razafimahaimodison; Maxime Réjou-Méchain; Samir Gonçalves Rolim; Hugo Romero Saltos; LUIZ MARCELO BRUM ROSSI, CNPF; Wilson Roberto Spironello; Francesco Rovero; Philippe Saner; Denise Sasaki; Mark Schulze; Marcos Silveira; James Singh; Plinio Sist; Bonaventure Sonke; J. Daniel Soto; CINTIA RODRIGUES DE SOUZA, CPAA; Juliana Stropp; Martin J. P. Sullivan; Ben Swanepoel; Hans ter Steege; John Terborgh; Nicolas Texier; Takeshi Toma; Renato Valencia; Luis Valenzuela; Leandro Valle Ferreira; Fernando Cornejo Valverde; Tinde R. Van Andel; Rodolfo Vasque; Hans Verbeeck; Pandi Vivek; Jason Vleminckx; Vincent A. Vos; Fabien H. Wagner; Papi Puspa Warsudi; Verginia Wortel; Roderick J. Zagt; Donatien Zebaze. |
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Título: |
Pan-tropical prediction of forest structure from the largest trees. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Global Ecology and Biogeography, v. 27, n. 11, p. 1366-1383, Nov. 2018. |
|
DOI: |
10.1111/geb.12803 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract
Aim: Large tropical trees form the interface between ground and airborne observa?
tions, offering a unique opportunity to capture forest properties remotely and to inves?
tigate their variations on broad scales. However, despite rapid development of metrics
to characterize the forest canopy from remotely sensed data, a gap remains between
aerial and field inventories. To close this gap, we propose a new pan?tropical model to
predict plot?level forest structure properties and biomass from only the largest trees.
Location: Pan?tropical.
Time period: Early 21st century.
Major taxa studied: Woody plants.
Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics,
we tested the prediction of the quadratic mean diameter, basal area, Lorey’s height,
community wood density and aboveground biomass (AGB) from the ith largest trees.
Results: Measuring the largest trees in tropical forests enables unbiased predictions of
plot? and site?level forest structure. The 20 largest trees per hectare predicted quad?
ratic mean diameter, basal area, Lorey’s height, community wood density and AGB
with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error
in biomass prediction is driven by differences in the proportion of total biomass held
in medium?sized trees (50–70 cm diameter at breast height), which shows some conti?
nental dependency, with American tropical forests presenting the highest proportion
of total biomass in these intermediate?diameter classes relative to other continents.
Main conclusions: Our approach provides new information on tropical forest struc?
ture and can be used to generate accurate field estimates of tropical forest carbon
stocks to support the calibration and validation of current and forthcoming space
missions. It will reduce the cost of field inventories and contribute to scientific under?
standing of tropical forest ecosystems and response to climate change. MenosAbstract
Aim: Large tropical trees form the interface between ground and airborne observa?
tions, offering a unique opportunity to capture forest properties remotely and to inves?
tigate their variations on broad scales. However, despite rapid development of metrics
to characterize the forest canopy from remotely sensed data, a gap remains between
aerial and field inventories. To close this gap, we propose a new pan?tropical model to
predict plot?level forest structure properties and biomass from only the largest trees.
Location: Pan?tropical.
Time period: Early 21st century.
Major taxa studied: Woody plants.
Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics,
we tested the prediction of the quadratic mean diameter, basal area, Lorey’s height,
community wood density and aboveground biomass (AGB) from the ith largest trees.
Results: Measuring the largest trees in tropical forests enables unbiased predictions of
plot? and site?level forest structure. The 20 largest trees per hectare predicted quad?
ratic mean diameter, basal area, Lorey’s height, community wood density and AGB
with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error
in biomass prediction is driven by differences in the proportion of total biomass held
in medium?sized trees (50–70 cm diameter at breast height), which shows some conti?
nental dependency, with American tropical forests presenting the highest proportion
of total biomass in these int... Mostrar Tudo |
|
Palavras-Chave: |
Tropical forest ecology. |
|
Thesaurus Nal: |
Carbon; Climate change. |
|
Categoria do assunto: |
--
K Ciência Florestal e Produtos de Origem Vegetal |
|
Marc: |
LEADER 06464naa a2201777 a 4500
001 2096481
005 2019-01-18
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1111/geb.12803$2DOI
100 1 $aBASTIN, J. F.
245 $aPan-tropical prediction of forest structure from the largest trees.$h[electronic resource]
260 $c2018
520 $aAbstract Aim: Large tropical trees form the interface between ground and airborne observa? tions, offering a unique opportunity to capture forest properties remotely and to inves? tigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan?tropical model to predict plot?level forest structure properties and biomass from only the largest trees. Location: Pan?tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey’s height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot? and site?level forest structure. The 20 largest trees per hectare predicted quad? ratic mean diameter, basal area, Lorey’s height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium?sized trees (50–70 cm diameter at breast height), which shows some conti? nental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate?diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest struc? ture and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific under? standing of tropical forest ecosystems and response to climate change.
650 $aCarbon
650 $aClimate change
653 $aTropical forest ecology
700 1 $aRUTISHAUSER, E.
700 1 $aKELLNER, J. R.
700 1 $aSAATCHI, S.
700 1 $aPÉLISSIER, R.
700 1 $aHÉRAULT, B.
700 1 $aSLIK, F.
700 1 $aBOGAERT, J.
700 1 $aDE CANNIÈRE, C.
700 1 $aMARSHALL, A. R.
700 1 $aPOULSEN, J.
700 1 $aALVAREZ-LOYAYZA, P.
700 1 $aANDRADE, A.
700 1 $aANGBONGA-BASIA, A.
700 1 $aARAUJO-MURAKAMI, A.
700 1 $aARROYO, L.
700 1 $aAYYAPPAN, N.
700 1 $aAZEVEDO, C. P. de
700 1 $aBANKI, O.
700 1 $aBARBIER, N.
700 1 $aBARROSO, J. G.
700 1 $aBEECKMAN, H.
700 1 $aBITARIHO, R.
700 1 $aBOECKX, P.
700 1 $aBOEHNING-GAESE, K.
700 1 $aBRANDÃO, H.
700 1 $aBREARLEY, F. Q.
700 1 $aHOCKEMBA, M. B. N.
700 1 $aBRIENEN, R.
700 1 $aCAMARGO, J. L. C.
700 1 $aCAMPOS-ARCEIZ, A.
700 1 $aCASSART, B.
700 1 $aCHAVE, J.
700 1 $aCHAZDON, R.
700 1 $aCHUYONG, G.
700 1 $aCLARK, D. B.
700 1 $aCLARK, C. J.
700 1 $aCONDIT, R.
700 1 $aCORONADO, E. N. H.
700 1 $aDAVIDAR, P.
700 1 $aHAULLEVILLE, T. de
700 1 $aDESCROIX, L.
700 1 $aDOUCET, J-L.
700 1 $aDOURDAIN, A.
700 1 $aDROISSART, V.
700 1 $aDUNCAN, T.
700 1 $aESPEJO. J. S.
700 1 $aESPINOSA, S.
700 1 $aFARWIG, N.
700 1 $aFAYOLLE, A.
700 1 $aFELDPAUSCH, T. R.
700 1 $aFERRAZ, A.
700 1 $aFLETCHER, C.
700 1 $aGAJAPERSAD, K.
700 1 $aGILLET, J-F.
700 1 $aAMARAL, I. L. do
700 1 $aGONMADJE, C.
700 1 $aGROGAN, J.
700 1 $aHARRIS, D.
700 1 $aHERZOG, S. K.
700 1 $aHOMEIER, J.
700 1 $aHUBAU, W.
700 1 $aHUBBELL, S. P.
700 1 $aHUFKENS, K.
700 1 $aHURTADO, J.
700 1 $aKAMDEM, N. G.
700 1 $aKEARSLEY, E.
700 1 $aKENFACK, D.
700 1 $aKESSLER, M.
700 1 $aLABRIÈRE, N.
700 1 $aLAUMONIER, Y.
700 1 $aLAURANCE, S.
700 1 $aLAURANCE, W. F.
700 1 $aLEWIS, S. L.
700 1 $aLIBALAH, M. B.
700 1 $aLIGOT, G.
700 1 $aLLOYD, J.
700 1 $aLOVEJOY, T. E.
700 1 $aMALHI, Y.
700 1 $aMARIMON, B. S.
700 1 $aJUNIOR, B. H. M.
700 1 $aMARTIN, E. H.
700 1 $aMATIUS, P.
700 1 $aMEYER, V.
700 1 $aBAUTISTA, C. M.
700 1 $aMONTEAGUDO-MENDOZA, A.
700 1 $aMTUI, A.
700 1 $aNEILL, D.
700 1 $aGUTIERREZ, G. A. P.
700 1 $aPARDO, G.
700 1 $aPARREN, M.
700 1 $aPARTHASARATHY, N.
700 1 $aPHILLIPS, O. L.
700 1 $aPITMAN, N. C. A.
700 1 $aPLOTON, P.
700 1 $aPONETTE, Q.
700 1 $aRAMESH, B. R.
700 1 $aRAZAFIMAHAIMODISON, J-C.
700 1 $aRÉJOU-MÉCHAIN, M.
700 1 $aROLIM, S. G.
700 1 $aSALTOS, H. R.
700 1 $aROSSI, L. M. B.
700 1 $aSPIRONELLO, W. R.
700 1 $aROVERO, F.
700 1 $aSANER, P.
700 1 $aSASAKI, D.
700 1 $aSCHULZE, M.
700 1 $aSILVEIRA, M.
700 1 $aSINGH, J.
700 1 $aSIST, P.
700 1 $aSONKE, B.
700 1 $aSOTO, J. D.
700 1 $aSOUZA, C. R. de
700 1 $aSTROPP, J.
700 1 $aSULLIVAN, M. J. P.
700 1 $aSWANEPOEL, B.
700 1 $aSTEEGE, H. ter.
700 1 $aTERBORGH, J.
700 1 $aTEXIER, N.
700 1 $aTOMA, T.
700 1 $aVALENCIA, R.
700 1 $aVALENZUELA, L.
700 1 $aFERREIRA, L. V.
700 1 $aVALVERDE, F. C.
700 1 $aANDEL, T. R. van.
700 1 $aVASQUE, R.
700 1 $aVERBEECK, H.
700 1 $aVIVEK, P.
700 1 $aVLEMINCKX, J.
700 1 $aVOS, V. A.
700 1 $aWAGNER, F. H.
700 1 $aWARSUDI, P. P.
700 1 $aWORTEL, V.
700 1 $aZAGT, R. J.
700 1 $aZEBAZE, D.
773 $tGlobal Ecology and Biogeography$gv. 27, n. 11, p. 1366-1383, Nov. 2018.
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Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
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| Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Cerrados. |
|
Data corrente: |
07/12/2022 |
|
Data da última atualização: |
08/12/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
SPECHT, A.; DIAS, F. M. S.; CARNEIRO, E.; CASAGRANDE, M. M.; MIELKE, O. H. H.; XAVIER, R. A.; ROQUE-SPECHT, V. F.; MALAQUIAS, J. V.; SILVA, F. A. M. da; CLAUDINO, V. C. M. |
|
Afiliação: |
ALEXANDRE SPECHT, CPAC; FERNANDO M. S. DIAS; EDUARDO CARNEIRO; MIRNA M. CASAGRANDE; OLAF H. H. MIELKE; RODRIGO A. XAVIER; VÂNIA F. ROQUE-SPECHT; JUACI VITORIA MALAQUIAS, CPAC; FERNANDO ANTONIO MACENA DA SILVA, CPAC; VANDER C. M. CLAUDINO. |
|
Título: |
Cutworms (Lepidoptera: Noctuidae) in central Brazil Savanna: temporaldistribution and association of species abundance with climatic andmeteorological factors. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Austral Entomology, v. 61, 2022. |
|
Páginas: |
p. 247-257 |
|
DOI: |
https://doi.org/10.1111/aen.12595 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Population dynamics studies make it possible to predict the response of species to seasonal and inter-annualclimatic phenomena in hypothetical scenarios of climatic abnormality. However, long-term studies on the tem-poral distribution and abundances of species are still scarce in the literature, including for species of agriculturalimportance. The present study aimed to bridge this gap through monthly collection events of species of cut-worms (species ofAgrotisandFeltia) across eight crop seasons (from July 2012 to June 2020) in the BrazilianSavanna (Cerrado). This biome is characterised by an irregular distribution of rainfall during a normal year, in-cluding two well-defined periods of dry and rainy seasons. Onlyfive species of cutworms were recorded:Agrotis ipsilon,Agrotis canities,Feltia repleta,Feltia submontanaandFeltia subterranea, all widely distrib-uted across South America. Except forF. submontana, occurring only in the autumn, other species occurrednearly year-round, with distinct peaks of abundance in the dry season (April to October), supporting thehypothesis that species of Agrotina are well adapted to dry environments. The association of cutworms withdry environments was recovered for multivoltine, abundant species, such asA. ipsilonandF. subterranea,asfor univoltine species, such asF. submontana. Across eight crop seasons, the abundance of all speciesdecreased, coinciding with a high intensity El Niño effect. However, the effect itself was not found to besignificant to predict the temporal distribution and abundances of cutworms and the causes of population de-crease from 2014 to 2015 crop season remain to be explained. After the temporal autocorrelation effects wereremoved, it was revealed that the abundance of cutworms tends to be larger in crop seasons with less precip-itation. Thus, this variable can be used to predict outbreaks of cutworms in the Cerrado. Some species of cut-worms deserve special concern due to their frequency, seasonality and higher abundances in the Cerrado duringthe dry season. Their adaptability to adverse conditions may increase their spatio-temporal distribution in Braziland the frequency of outbreaks in a scenario of climate change, with the continuing reduction of rainfall incentral and southeastern Brazil. MenosPopulation dynamics studies make it possible to predict the response of species to seasonal and inter-annualclimatic phenomena in hypothetical scenarios of climatic abnormality. However, long-term studies on the tem-poral distribution and abundances of species are still scarce in the literature, including for species of agriculturalimportance. The present study aimed to bridge this gap through monthly collection events of species of cut-worms (species ofAgrotisandFeltia) across eight crop seasons (from July 2012 to June 2020) in the BrazilianSavanna (Cerrado). This biome is characterised by an irregular distribution of rainfall during a normal year, in-cluding two well-defined periods of dry and rainy seasons. Onlyfive species of cutworms were recorded:Agrotis ipsilon,Agrotis canities,Feltia repleta,Feltia submontanaandFeltia subterranea, all widely distrib-uted across South America. Except forF. submontana, occurring only in the autumn, other species occurrednearly year-round, with distinct peaks of abundance in the dry season (April to October), supporting thehypothesis that species of Agrotina are well adapted to dry environments. The association of cutworms withdry environments was recovered for multivoltine, abundant species, such asA. ipsilonandF. subterranea,asfor univoltine species, such asF. submontana. Across eight crop seasons, the abundance of all speciesdecreased, coinciding with a high intensity El Niño effect. However, the effect itself was not found to besign... Mostrar Tudo |
|
Palavras-Chave: |
ENSO. |
|
Thesagro: |
Inseto; Pesquisa; Previsão do Tempo. |
|
Thesaurus NAL: |
Agrotis; Feltia. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 03257naa a2200325 a 4500
001 2149348
005 2022-12-08
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/aen.12595$2DOI
100 1 $aSPECHT, A.
245 $aCutworms (Lepidoptera$bNoctuidae) in central Brazil Savanna: temporaldistribution and association of species abundance with climatic andmeteorological factors.$h[electronic resource]
260 $c2022
300 $ap. 247-257
520 $aPopulation dynamics studies make it possible to predict the response of species to seasonal and inter-annualclimatic phenomena in hypothetical scenarios of climatic abnormality. However, long-term studies on the tem-poral distribution and abundances of species are still scarce in the literature, including for species of agriculturalimportance. The present study aimed to bridge this gap through monthly collection events of species of cut-worms (species ofAgrotisandFeltia) across eight crop seasons (from July 2012 to June 2020) in the BrazilianSavanna (Cerrado). This biome is characterised by an irregular distribution of rainfall during a normal year, in-cluding two well-defined periods of dry and rainy seasons. Onlyfive species of cutworms were recorded:Agrotis ipsilon,Agrotis canities,Feltia repleta,Feltia submontanaandFeltia subterranea, all widely distrib-uted across South America. Except forF. submontana, occurring only in the autumn, other species occurrednearly year-round, with distinct peaks of abundance in the dry season (April to October), supporting thehypothesis that species of Agrotina are well adapted to dry environments. The association of cutworms withdry environments was recovered for multivoltine, abundant species, such asA. ipsilonandF. subterranea,asfor univoltine species, such asF. submontana. Across eight crop seasons, the abundance of all speciesdecreased, coinciding with a high intensity El Niño effect. However, the effect itself was not found to besignificant to predict the temporal distribution and abundances of cutworms and the causes of population de-crease from 2014 to 2015 crop season remain to be explained. After the temporal autocorrelation effects wereremoved, it was revealed that the abundance of cutworms tends to be larger in crop seasons with less precip-itation. Thus, this variable can be used to predict outbreaks of cutworms in the Cerrado. Some species of cut-worms deserve special concern due to their frequency, seasonality and higher abundances in the Cerrado duringthe dry season. Their adaptability to adverse conditions may increase their spatio-temporal distribution in Braziland the frequency of outbreaks in a scenario of climate change, with the continuing reduction of rainfall incentral and southeastern Brazil.
650 $aAgrotis
650 $aFeltia
650 $aInseto
650 $aPesquisa
650 $aPrevisão do Tempo
653 $aENSO
700 1 $aDIAS, F. M. S.
700 1 $aCARNEIRO, E.
700 1 $aCASAGRANDE, M. M.
700 1 $aMIELKE, O. H. H.
700 1 $aXAVIER, R. A.
700 1 $aROQUE-SPECHT, V. F.
700 1 $aMALAQUIAS, J. V.
700 1 $aSILVA, F. A. M. da
700 1 $aCLAUDINO, V. C. M.
773 $tAustral Entomology$gv. 61, 2022.
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