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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
18/04/2023 |
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Actualizado : |
18/04/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MOSCIARO, M.J.; SEGHEZZO, L.; TEXEIRA, M.; PARUELO, J.; VOLANTE, J. |
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Afiliación : |
MARÍA JESÚS MOSCIARO, Estación Experimental Salta, Instituto Nacional de Tecnología Agropecuaria (INTA), Ruta Nacional 68 km 172 (A4403AGE), Cerrillos, Salta, Argentina; LUCAS SEGHEZZO, Instituto de Investigaciones en Energía No Convencional (INENCO), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Salta (UNSa), Salta, Argentina; MARCOS TEXEIRA, Laboratorio de Análisis Regional y Teledetección. IFEVA, Depto. Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, UBA and CONICET, Av. San Martín 4453, Buenos Aires, 1417, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; Fac. Ciencias, IECA, Univ. de la República, Montevideo, Uruguay.; JOSÉ VOLANTE, Estación Experimental Salta, Instituto Nacional de Tecnología Agropecuaria (INTA), Ruta Nacional 68 km 172 (A4403AGE), Cerrillos, Salta, Argentina. |
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Título : |
Where did the forest go? Post-deforestation land use dynamics in the Dry Chaco region in Northwestern Argentina. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Land Use Policy, June 2023, Volume 129, article 106650. doi: https://doi.org/10.1016/j.landusepol.2023.106650 |
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ISSN : |
0264-8377 |
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DOI : |
10.1016/j.landusepol.2023.106650 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 21 December 2021; Received in revised form 27 January 2023; Accepted 20 March 2023; Available online 23 March 2023. -- Correspondence author: Mosciaro, M.J.; Estación Experimental Salta, Instituto Nacional de Tecnología Agropecuaria (INTA), Ruta Nacional 68 km 172 (A4403AGE), Cerrillos, Salta, Argentina; email:mosciaro.maria@inta.gob.ar -- |
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Contenido : |
Land transformation is a major component of global change, directly altering habitat composition and spatial configuration, biodiversity, and ecosystem functioning. Over the last decades, the Dry Chaco region in Northwestern Argentina has become one of the regions most heavily transformed worldwide due to the expansion of its agricultural frontier. Many questions remain unanswered about how this process of change occurred. In this study, a parcel-scale database was used to assess the conversion of natural landscapes to different agroecosystems. The magnitude and direction of land use transitions during the last 20 years (2001-2019) were analyzed. Ranching is the main proximate cause of deforestation, accounting for more than 63% of the area cleared annually, though the land use expansion pattern has varied in space and time. Trajectories of land use transitions revealed a spatial arrangement where croplands have displaced ranching to drier areas. The analysis of the intensity of these transitions has shown that the trajectory of post-deforestation land use dynamics has followed a permanent systematic spatio-temporal pattern of change: (1) Dry Forest to Pastures; (2) Pastures to Single Crops; and (3) Single Cropping and Double Cropping systems, where processes of expansion, replacement, and intensification have been identified. Information on transition patterns has allowed us to develop a deeper understanding of land transformation processes, essential in the design of effective land use management strategies. © 2023 Elsevier Ltd MenosLand transformation is a major component of global change, directly altering habitat composition and spatial configuration, biodiversity, and ecosystem functioning. Over the last decades, the Dry Chaco region in Northwestern Argentina has become one of the regions most heavily transformed worldwide due to the expansion of its agricultural frontier. Many questions remain unanswered about how this process of change occurred. In this study, a parcel-scale database was used to assess the conversion of natural landscapes to different agroecosystems. The magnitude and direction of land use transitions during the last 20 years (2001-2019) were analyzed. Ranching is the main proximate cause of deforestation, accounting for more than 63% of the area cleared annually, though the land use expansion pattern has varied in space and time. Trajectories of land use transitions revealed a spatial arrangement where croplands have displaced ranching to drier areas. The analysis of the intensity of these transitions has shown that the trajectory of post-deforestation land use dynamics has followed a permanent systematic spatio-temporal pattern of change: (1) Dry Forest to Pastures; (2) Pastures to Single Crops; and (3) Single Cropping and Double Cropping systems, where processes of expansion, replacement, and intensification have been identified. Information on transition patterns has allowed us to develop a deeper understanding of land transformation processes, essential in the design of effec... Presentar Todo |
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Palabras claves : |
Dry Chaco; Land use change; Land use trajectories; Natural landscapes; Patterns of change; Proximate causes of deforestation. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 02820naa a2200277 a 4500
001 1064038
005 2023-04-18
008 2023 bl uuuu u00u1 u #d
022 $a0264-8377
024 7 $a10.1016/j.landusepol.2023.106650$2DOI
100 1 $aMOSCIARO, M.J.
245 $aWhere did the forest go? Post-deforestation land use dynamics in the Dry Chaco region in Northwestern Argentina.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 21 December 2021; Received in revised form 27 January 2023; Accepted 20 March 2023; Available online 23 March 2023. -- Correspondence author: Mosciaro, M.J.; Estación Experimental Salta, Instituto Nacional de Tecnología Agropecuaria (INTA), Ruta Nacional 68 km 172 (A4403AGE), Cerrillos, Salta, Argentina; email:mosciaro.maria@inta.gob.ar --
520 $aLand transformation is a major component of global change, directly altering habitat composition and spatial configuration, biodiversity, and ecosystem functioning. Over the last decades, the Dry Chaco region in Northwestern Argentina has become one of the regions most heavily transformed worldwide due to the expansion of its agricultural frontier. Many questions remain unanswered about how this process of change occurred. In this study, a parcel-scale database was used to assess the conversion of natural landscapes to different agroecosystems. The magnitude and direction of land use transitions during the last 20 years (2001-2019) were analyzed. Ranching is the main proximate cause of deforestation, accounting for more than 63% of the area cleared annually, though the land use expansion pattern has varied in space and time. Trajectories of land use transitions revealed a spatial arrangement where croplands have displaced ranching to drier areas. The analysis of the intensity of these transitions has shown that the trajectory of post-deforestation land use dynamics has followed a permanent systematic spatio-temporal pattern of change: (1) Dry Forest to Pastures; (2) Pastures to Single Crops; and (3) Single Cropping and Double Cropping systems, where processes of expansion, replacement, and intensification have been identified. Information on transition patterns has allowed us to develop a deeper understanding of land transformation processes, essential in the design of effective land use management strategies. © 2023 Elsevier Ltd
653 $aDry Chaco
653 $aLand use change
653 $aLand use trajectories
653 $aNatural landscapes
653 $aPatterns of change
653 $aProximate causes of deforestation
700 1 $aSEGHEZZO, L.
700 1 $aTEXEIRA, M.
700 1 $aPARUELO, J.
700 1 $aVOLANTE, J.
773 $tLand Use Policy, June 2023, Volume 129, article 106650. doi: https://doi.org/10.1016/j.landusepol.2023.106650
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/11/2015 |
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Actualizado : |
12/11/2015 |
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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 : |
PRIETO, N.; ROSS D.W.; NAVAJAS, E.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. |
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Afiliación : |
NURIA PRIETO, SAD (Scottish Agricultural College); Lacombe Research Centre (CA); DAVID E. ROSS, SAC (Scottish Agricultural College); ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; R. IAN RICHARDSON, Universidad de Bristol; JIMMY J. HYSLOP, SAC (Scottish Agricultural College); GEOFF SIMM, SAC (Scottish Agricultural College); RAINER ROEHE, SAC (Scottish Agricultural College). |
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Título : |
Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
Animal, 2011, v.5, no.1, p. 155-165. |
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DOI : |
http://dx.doi.org/10.1017/S1751731110001618 |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT
The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NIR showed low predictability for FA in AA× beef samples. In particular for LIM×, the correlations of NIR measurements and several FA in the range from 0.81 to 0.87 indicated that the NIR spectroscopy is a useful online technique for the early, fast and relatively inexpensive estimation of FA composition in the abattoir. MenosABSTRACT
The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NI... Presentar Todo |
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Thesagro : |
ACIDOS GRASOS; ESPECTROSCOPIA INFRARROJA; GANADO DE CARNE. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02560naa a2200241 a 4500
001 1053842
005 2015-11-12
008 2011 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1017/S1751731110001618$2DOI
100 1 $aPRIETO, N.
245 $aOnline prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy.
260 $c2011
520 $aABSTRACT The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NIR showed low predictability for FA in AA× beef samples. In particular for LIM×, the correlations of NIR measurements and several FA in the range from 0.81 to 0.87 indicated that the NIR spectroscopy is a useful online technique for the early, fast and relatively inexpensive estimation of FA composition in the abattoir.
650 $aACIDOS GRASOS
650 $aESPECTROSCOPIA INFRARROJA
650 $aGANADO DE CARNE
700 1 $aROSS D.W.
700 1 $aNAVAJAS, E.
700 1 $aRICHARDSON, R.I.
700 1 $aHYSLOP, J.J.
700 1 $aSIMM, G.
700 1 $aROEHE, R.
773 $tAnimal, 2011$gv.5, no.1, p. 155-165.
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