|
|
| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
23/10/2020 |
Actualizado : |
09/04/2021 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
HASTINGS, F.; FUENTES, I.; PÉREZ-BIDEGAIN, M.; NAVAS, R.; GORGOGLIONE, A. |
Afiliación : |
FLORENCIA HASTINGS, School of Agronomy Universidad de la República, Montevideo, Uruguay; Directorate of Natural Resources, Ministry of Agriculture, Livestock and Fisheries, Montevideo, Uruguay; IGNACIO FUENTES, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia; MARIO PÉREZ-BIDEGAIN, School of Agronomy, Universidad de la República, Montevideo, Uruguay; RAFAEL NAVAS NÚÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ÁNGELA GORGOGLIONE, School of Engineering, Universidad de la República, Montevideo, Uruguay. |
Título : |
Land-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper) |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
In: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52 |
ISBN : |
e-ISBN: 978-3-030-58811-3 |
DOI : |
10.1007/978-3-030-58811-3_52 |
Idioma : |
Inglés |
Notas : |
Article history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media Deutschland GmbH.
20th International Conference on Computational Science and Its Applications, ICCSA 2020; Cagliari; Italy; 1 July 2020 through 4 July 2020; Code 249529.
Corresponding author: Hastings, F.; School of Agronomy, Universidad de la República, Av. Gral. Eugenio Garzón 780, Montevideo, Uruguay; email:fhastings@mgap.gub.uy |
Contenido : |
Land-cover mapping is critically needed in land-use planning and policy making. Compared to other techniques, Google Earth Engine (GEE) offers a free cloud of satellite information and high computation capabilities. In this context, this article examines machine learning with GEE for land-cover mapping. For this purpose, a five-phase procedure is applied: (1) imagery selection and pre-processing, (2) selection of the classes and training samples, (3) classification process, (4) post-classification, and (5) validation. The study region is located in the San Salvador basin (Uruguay), which is under agricultural intensification. As a result, the 1990 land-cover map of the San Salvador basin is produced. The new map shows good agreements with past agriculture census and reveals the transformation of grassland to cropland in the period 1990?2018. © 2020, Springer Nature Switzerland AG. |
Palabras claves : |
Agricultural region; Google earth engine; Land-cover map; Supervised classification. |
Asunto categoría : |
A50 Investigación agraria |
Marc : |
LEADER 02413nam a2200229 a 4500 001 1061424 005 2021-04-09 008 2020 bl uuuu u0uu1 u #d 024 7 $a10.1007/978-3-030-58811-3_52$2DOI 100 1 $aHASTINGS, F. 245 $aLand-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper)$h[electronic resource] 260 $aIn: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52$c1007 500 $aArticle history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media Deutschland GmbH. 20th International Conference on Computational Science and Its Applications, ICCSA 2020; Cagliari; Italy; 1 July 2020 through 4 July 2020; Code 249529. Corresponding author: Hastings, F.; School of Agronomy, Universidad de la República, Av. Gral. Eugenio Garzón 780, Montevideo, Uruguay; email:fhastings@mgap.gub.uy 520 $aLand-cover mapping is critically needed in land-use planning and policy making. Compared to other techniques, Google Earth Engine (GEE) offers a free cloud of satellite information and high computation capabilities. In this context, this article examines machine learning with GEE for land-cover mapping. For this purpose, a five-phase procedure is applied: (1) imagery selection and pre-processing, (2) selection of the classes and training samples, (3) classification process, (4) post-classification, and (5) validation. The study region is located in the San Salvador basin (Uruguay), which is under agricultural intensification. As a result, the 1990 land-cover map of the San Salvador basin is produced. The new map shows good agreements with past agriculture census and reveals the transformation of grassland to cropland in the period 1990?2018. © 2020, Springer Nature Switzerland AG. 653 $aAgricultural region 653 $aGoogle earth engine 653 $aLand-cover map 653 $aSupervised classification 700 1 $aFUENTES, I. 700 1 $aPÉREZ-BIDEGAIN, M. 700 1 $aNAVAS, R. 700 1 $aGORGOGLIONE, A.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
04/05/2021 |
Actualizado : |
12/08/2021 |
Autor : |
VANDEGEER, R.K.; CIBILS-STEWART, X.; WUHRER, R.; HARTLEY, S.E.; TISSUE, D.T.; JOHNSON, S.N. |
Afiliación : |
REBECCA K. VANDEGEER, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia.; XIMENA CIBILS-STEWART, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia.; RICHARD WUHRER, Advanced Materials Characterisation Facility, Western Sydney University, Penrith, NSW, Australia.; SUSAN E. HARTLEY, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.; DAVID T. TISSUE, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia.; SCOTT N. JOHNSON, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia. |
Título : |
Leaf silicification provides herbivore defence regardless of the extensive impacts of water stress. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Functional Ecology, 2021. Volume 35, Issue 6, Pages 1200-1211, June 2021. Doi: https://doi.org/10.1111/1365-2435.13794 |
DOI : |
10.1111/1365-2435.13794 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 5 October 2020/Accepted: 11 March 2021/ First published: 24 March 2021.
Correspondence: Email: R.Vandegeer@westernsydney.edu.au. |
Contenido : |
Abstract:
Altered precipitation patterns due to climate change are likely to impose water?deficit stress in plants resulting in changes to specific leaf mass, leaf water content and chemical defences that may impact herbivorous arthropods. Grasses, in particular, accumulate large concentrations of silicon (Si) which provides physical defence against herbivores. Although Si uptake by plants may be affected by water availability, very few studies have investigated the combined effect of water?deficit stress and Si on insect herbivore performance.
We grew tall fescue Festuca arundinacea Schreb. hydroponically, with and without Si, and half of the plants were treated with 20% polyethylene glycol (PEG) to impose osmotic stress. In all, 11 leaf traits (physiological, chemical and structural) were measured, silicified phytoliths on the leaf surface were visualised using scanning electron microscopy (SEM) in conjunction with X?ray mapping, and plants were exposed to a chewing insect herbivore [Helicoverpa armigera Hübner (Lepidoptera: Noctuidae)].
Although osmotic stress was associated with changes to leaf physiological and chemical traits, including increased specific leaf mass, decreased leaf relative water content and increased leaf nitrogen (N), there was no significant effect on H. armigera relative growth rate (RGR). However, Si reduced RGR of H. armigera by 80%?98% while generating few changes to physiological and chemical leaf traits. Instead, the decline in RGR with Si was associated with changes to leaf structural traits, in particular, a greater density of silicified phytoliths on the leaf surface.
Comparison of effect sizes indicated that leaf traits were primarily affected by osmotic stress but not Si, and that herbivore RGR was strongly negatively affected by Si but not osmotic stress. There was no interactive effect between the osmotic stress and Si treatments on H. armigera RGR or plant traits except for leaf nitrogen and phenolic concentrations. This study provides further support that Si may prove to be beneficial to plants against chewing insect pests and remains robust regardless of water?deficit stress conditions. MenosAbstract:
Altered precipitation patterns due to climate change are likely to impose water?deficit stress in plants resulting in changes to specific leaf mass, leaf water content and chemical defences that may impact herbivorous arthropods. Grasses, in particular, accumulate large concentrations of silicon (Si) which provides physical defence against herbivores. Although Si uptake by plants may be affected by water availability, very few studies have investigated the combined effect of water?deficit stress and Si on insect herbivore performance.
We grew tall fescue Festuca arundinacea Schreb. hydroponically, with and without Si, and half of the plants were treated with 20% polyethylene glycol (PEG) to impose osmotic stress. In all, 11 leaf traits (physiological, chemical and structural) were measured, silicified phytoliths on the leaf surface were visualised using scanning electron microscopy (SEM) in conjunction with X?ray mapping, and plants were exposed to a chewing insect herbivore [Helicoverpa armigera Hübner (Lepidoptera: Noctuidae)].
Although osmotic stress was associated with changes to leaf physiological and chemical traits, including increased specific leaf mass, decreased leaf relative water content and increased leaf nitrogen (N), there was no significant effect on H. armigera relative growth rate (RGR). However, Si reduced RGR of H. armigera by 80%?98% while generating few changes to physiological and chemical leaf traits. Instead, the decline in RGR with Si was ... Presentar Todo |
Palabras claves : |
DROUGHT; FESTUCA ARUNDINACEA; Helicoverpa armigera Hübner; Insect herbivory; Nutritional quality; Osmotic stress; Physical defence; Plant traits; Water-deficit. |
Thesagro : |
ENTOMOLOGIA. |
Asunto categoría : |
H10 Plagas de las plantas |
Marc : |
LEADER 03327naa a2200325 a 4500 001 1062007 005 2021-08-12 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1111/1365-2435.13794$2DOI 100 1 $aVANDEGEER, R.K. 245 $aLeaf silicification provides herbivore defence regardless of the extensive impacts of water stress.$h[electronic resource] 260 $c2021 500 $aArticle history: Received: 5 October 2020/Accepted: 11 March 2021/ First published: 24 March 2021. Correspondence: Email: R.Vandegeer@westernsydney.edu.au. 520 $aAbstract: Altered precipitation patterns due to climate change are likely to impose water?deficit stress in plants resulting in changes to specific leaf mass, leaf water content and chemical defences that may impact herbivorous arthropods. Grasses, in particular, accumulate large concentrations of silicon (Si) which provides physical defence against herbivores. Although Si uptake by plants may be affected by water availability, very few studies have investigated the combined effect of water?deficit stress and Si on insect herbivore performance. We grew tall fescue Festuca arundinacea Schreb. hydroponically, with and without Si, and half of the plants were treated with 20% polyethylene glycol (PEG) to impose osmotic stress. In all, 11 leaf traits (physiological, chemical and structural) were measured, silicified phytoliths on the leaf surface were visualised using scanning electron microscopy (SEM) in conjunction with X?ray mapping, and plants were exposed to a chewing insect herbivore [Helicoverpa armigera Hübner (Lepidoptera: Noctuidae)]. Although osmotic stress was associated with changes to leaf physiological and chemical traits, including increased specific leaf mass, decreased leaf relative water content and increased leaf nitrogen (N), there was no significant effect on H. armigera relative growth rate (RGR). However, Si reduced RGR of H. armigera by 80%?98% while generating few changes to physiological and chemical leaf traits. Instead, the decline in RGR with Si was associated with changes to leaf structural traits, in particular, a greater density of silicified phytoliths on the leaf surface. Comparison of effect sizes indicated that leaf traits were primarily affected by osmotic stress but not Si, and that herbivore RGR was strongly negatively affected by Si but not osmotic stress. There was no interactive effect between the osmotic stress and Si treatments on H. armigera RGR or plant traits except for leaf nitrogen and phenolic concentrations. This study provides further support that Si may prove to be beneficial to plants against chewing insect pests and remains robust regardless of water?deficit stress conditions. 650 $aENTOMOLOGIA 653 $aDROUGHT 653 $aFESTUCA ARUNDINACEA 653 $aHelicoverpa armigera Hübner 653 $aInsect herbivory 653 $aNutritional quality 653 $aOsmotic stress 653 $aPhysical defence 653 $aPlant traits 653 $aWater-deficit 700 1 $aCIBILS-STEWART, X. 700 1 $aWUHRER, R. 700 1 $aHARTLEY, S.E. 700 1 $aTISSUE, D.T. 700 1 $aJOHNSON, S.N. 773 $tFunctional Ecology, 2021. Volume 35, Issue 6, Pages 1200-1211, June 2021. Doi: https://doi.org/10.1111/1365-2435.13794
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA La Estanzuela (LE) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|