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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
22/04/2019 |
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Actualizado : |
22/04/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MIRABALLES, C.; RIET-CORREA, F.; SAPORITI, T.; LARA, S.; PARODI, P.; SÁNCHEZ, J. |
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Afiliación : |
MÓNICA CECILIA MIRABALLES FERRER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; TATIANA SAPORITI NOGUEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; STEPHANIE YOHANA LARA MARFETAN, Universidad de la República (UdelaR)/ Facultad de Veterinaria.; PABLO PARODI TEXEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; JAVIER SÁNCHEZ, University of Prince Edwards Island, Canada. |
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Título : |
Probability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Ticks and Tick-borne Diseases, 2019. |
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DOI : |
10.1016/j.ttbdis.2019.04.009 |
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Idioma : |
Inglés |
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Notas : |
History Article: Received 1 October2018 // Received in revisedform 19March 2019 // Accepted 10April 2019. |
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Contenido : |
Attempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model
based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle
movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The
model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the probability was between 21% and 34%; for seven farms, it was between 66% and 76%; and for 22 farms, the probability was greater than 83%. This model was useful for estimating the
probability of the introduction of R. microplus into farms, making it possible to assess the impact that the evaluated biosecurity measures have on the probability of introduction and, thus, guiding more objective decision making about the control or elimination of R. microplus from farms. MenosAttempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model
based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle
movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The
model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the pro... Presentar Todo |
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Palabras claves : |
BAYESIAN BELIEF NETWORK; CATTLE TICK ELIMINATI; RHIPICEPHALUS MICROPLUS; RISK ASSESSMENT. |
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Thesagro : |
PLAGAS DE ANIMALES. |
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Asunto categoría : |
L72 Plagas de los animales |
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Marc : |
LEADER 02862naa a2200265 a 4500
001 1059731
005 2019-04-22
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ttbdis.2019.04.009$2DOI
100 1 $aMIRABALLES, C.
245 $aProbability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network.$h[electronic resource]
260 $c2019
500 $aHistory Article: Received 1 October2018 // Received in revisedform 19March 2019 // Accepted 10April 2019.
520 $aAttempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the probability was between 21% and 34%; for seven farms, it was between 66% and 76%; and for 22 farms, the probability was greater than 83%. This model was useful for estimating the probability of the introduction of R. microplus into farms, making it possible to assess the impact that the evaluated biosecurity measures have on the probability of introduction and, thus, guiding more objective decision making about the control or elimination of R. microplus from farms.
650 $aPLAGAS DE ANIMALES
653 $aBAYESIAN BELIEF NETWORK
653 $aCATTLE TICK ELIMINATI
653 $aRHIPICEPHALUS MICROPLUS
653 $aRISK ASSESSMENT
700 1 $aRIET-CORREA, F.
700 1 $aSAPORITI, T.
700 1 $aLARA, S.
700 1 $aPARODI, P.
700 1 $aSÁNCHEZ, J.
773 $tTicks and Tick-borne Diseases, 2019.
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Registro original : |
INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
12/09/2014 |
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Actualizado : |
11/02/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
PARUELO, J.M.; PIÑEIRO, G.; BALDI, G.; BAEZA, S.; LEZAMA, F.; ALTESOR, A.; OESTERHELD, M. |
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Afiliación : |
FELIPE LEZAMA HUERTA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Carbon stocks and fluxes in rangelands of the Río de la plata basin. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Rangeland Ecology & Management, 2010, v. 63, no. 1 p. 94-108. |
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Volumen : |
63 |
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ISSN : |
1551-5028 |
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DOI : |
10.2111/08-055.1 |
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Idioma : |
Inglés |
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Notas : |
Article history: Manuscript received 17 March 2008; manuscript accepted 3 April 2009. |
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Contenido : |
ABSTRACT:
Grasslands are one of the most modified biomes on Earth. Land use changes had a large impact on carbon (C) stocks of grasslands. Understanding the impact of land use/land cover changes on C stocks and fluxes is critical to evaluate the potential of rangeland ecosystem as C sinks. In this article we analyze C stocks and fluxes across the environmental gradients of one of the most extensive temperate rangeland areas: the Rio de la Plata Grasslands (RPG) in South America. The analysis summarizes information provided by field studies, remote sensing estimates, and modeling exercises. Average estimates of aboveground net primary production ( ANPP) ranged from 240 to 316 gC · m~2 · yr"1. Estimates of belowgro und NPP(BNPP) were more variable than ANPP and ranged from 264 to 568 g C · m~2 · yr"1. Total Carbon ranged from 5 004 to 15 008 g C · m~2. Plant biomass contribution to Total Carbon averaged 13 % and varied from 9.5% to 27% among sites. The largest plant C stock corresponded to belowground biomass. Aboveground green biomass represented less than 7% of the plant C. Soil organic carbon (SOC) was concentrated in the slow and passive compartments of the organic matter. Active soil pool represented only 6.7% of the SOC. The understanding of C dynamics and stocks in the RPG grasslands is still partial and incomplete. Field estimates of ANPP and BNPP are scarce, and they are not based on a common measurement protocol. Remotely sensed techniques have the potential to generate a coherent and spatially explicit database on ANPP. However, more work is needed to improve estimates of the spatial and temporal variability of radiation use efficiency. The absence of a flux tower network restricts the ability to track seasonal changes in C uptake and to understand fine-scale controls of C dynamics. MenosABSTRACT:
Grasslands are one of the most modified biomes on Earth. Land use changes had a large impact on carbon (C) stocks of grasslands. Understanding the impact of land use/land cover changes on C stocks and fluxes is critical to evaluate the potential of rangeland ecosystem as C sinks. In this article we analyze C stocks and fluxes across the environmental gradients of one of the most extensive temperate rangeland areas: the Rio de la Plata Grasslands (RPG) in South America. The analysis summarizes information provided by field studies, remote sensing estimates, and modeling exercises. Average estimates of aboveground net primary production ( ANPP) ranged from 240 to 316 gC · m~2 · yr"1. Estimates of belowgro und NPP(BNPP) were more variable than ANPP and ranged from 264 to 568 g C · m~2 · yr"1. Total Carbon ranged from 5 004 to 15 008 g C · m~2. Plant biomass contribution to Total Carbon averaged 13 % and varied from 9.5% to 27% among sites. The largest plant C stock corresponded to belowground biomass. Aboveground green biomass represented less than 7% of the plant C. Soil organic carbon (SOC) was concentrated in the slow and passive compartments of the organic matter. Active soil pool represented only 6.7% of the SOC. The understanding of C dynamics and stocks in the RPG grasslands is still partial and incomplete. Field estimates of ANPP and BNPP are scarce, and they are not based on a common measurement protocol. Remotely sensed techniques have the potential to gener... Presentar Todo |
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Palabras claves : |
ABOVEGROUND NET PRIMARY PRODUCTION; BELOWGROUND NET PRIMARY PRODUCTION; CENTURY MODEL; CUENCA DEL RIO DE LA PLATA; LAND USE - LAND COVER CHANGES; REMOTE SENSING. |
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Thesagro : |
CARBONO; MEDICIONES; MODELOS MATEMATICOS; PASTIZALES; TELEDETECCION. |
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Asunto categoría : |
F40 Ecología vegetal |
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Marc : |
LEADER 02971naa a2200385 a 4500
001 1050201
005 2019-02-11
008 2010 bl uuuu u00u1 u #d
022 $a1551-5028
024 7 $a10.2111/08-055.1$2DOI
100 1 $aPARUELO, J.M.
245 $aCarbon stocks and fluxes in rangelands of the Río de la plata basin.$h[electronic resource]
260 $c2010
300 $a63
490 $v63
500 $aArticle history: Manuscript received 17 March 2008; manuscript accepted 3 April 2009.
520 $aABSTRACT: Grasslands are one of the most modified biomes on Earth. Land use changes had a large impact on carbon (C) stocks of grasslands. Understanding the impact of land use/land cover changes on C stocks and fluxes is critical to evaluate the potential of rangeland ecosystem as C sinks. In this article we analyze C stocks and fluxes across the environmental gradients of one of the most extensive temperate rangeland areas: the Rio de la Plata Grasslands (RPG) in South America. The analysis summarizes information provided by field studies, remote sensing estimates, and modeling exercises. Average estimates of aboveground net primary production ( ANPP) ranged from 240 to 316 gC · m~2 · yr"1. Estimates of belowgro und NPP(BNPP) were more variable than ANPP and ranged from 264 to 568 g C · m~2 · yr"1. Total Carbon ranged from 5 004 to 15 008 g C · m~2. Plant biomass contribution to Total Carbon averaged 13 % and varied from 9.5% to 27% among sites. The largest plant C stock corresponded to belowground biomass. Aboveground green biomass represented less than 7% of the plant C. Soil organic carbon (SOC) was concentrated in the slow and passive compartments of the organic matter. Active soil pool represented only 6.7% of the SOC. The understanding of C dynamics and stocks in the RPG grasslands is still partial and incomplete. Field estimates of ANPP and BNPP are scarce, and they are not based on a common measurement protocol. Remotely sensed techniques have the potential to generate a coherent and spatially explicit database on ANPP. However, more work is needed to improve estimates of the spatial and temporal variability of radiation use efficiency. The absence of a flux tower network restricts the ability to track seasonal changes in C uptake and to understand fine-scale controls of C dynamics.
650 $aCARBONO
650 $aMEDICIONES
650 $aMODELOS MATEMATICOS
650 $aPASTIZALES
650 $aTELEDETECCION
653 $aABOVEGROUND NET PRIMARY PRODUCTION
653 $aBELOWGROUND NET PRIMARY PRODUCTION
653 $aCENTURY MODEL
653 $aCUENCA DEL RIO DE LA PLATA
653 $aLAND USE - LAND COVER CHANGES
653 $aREMOTE SENSING
700 1 $aPIÑEIRO, G.
700 1 $aBALDI, G.
700 1 $aBAEZA, S.
700 1 $aLEZAMA, F.
700 1 $aALTESOR, A.
700 1 $aOESTERHELD, M.
773 $tRangeland Ecology & Management, 2010$gv. 63, no. 1 p. 94-108.
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