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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
21/02/2014 |
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Actualizado : |
09/09/2020 |
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Autor : |
CARÁMBULA, M.; PIÑEIRO, D |
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Afiliación : |
M. CARÁMBULA, Becario del Proyecto IAI-SGP 004, IFEVA. Facultad de Agronomía UBA. Facultad de Agronomía. Universidad de la República. Uruguay.; D. PIÑEIRO, Facultad de Agronomía y Facultad de Ciencias Sociales. Universidad de la República. Uruguay. |
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Título : |
La forestación en Uruguay: cambio demográfico y empleo en tres localidades// [Afforestation in Uruguay: Demographic changes and employment in trhee villages]. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2006, 10(2):63-73 |
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Idioma : |
Español |
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Notas : |
Article history: Recibido: 20/03/06 Aceptado: 04/09/06. AGRADECIMIENTOS: Agradecemos al equipo de investigación liderado por los Dres. José Paruelo y Esteban Jobbaggy del IFEVA,
Facultad de Agronomía de la Universidad de Buenos Aires por habernos invitado a participar del Proyecto IAISGP 004 "Climate and land use controls on ecosystem functioning". lo cual dió inicio a una productiva cooperación no solo entre equipos de distintos países sino también entre equipos de distintas disciplinas. También queremos agradecer a todas las nstituciones y a los pobladores de las tres localidades donde se llevó a cabo el estudio de caso, sus autoridades, líderes locales y vecinos por la disposición mostrada para colaborar con el mismo. |
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Contenido : |
RESUMEN: En el contexto de los grandes cambios a nivel societal que están ocurriendo en los últimas décadas del siglo XX en este artículo se analizan los impactos que tiene la forestación sobre los cambios demográficos y el empleo. La forestación parece haber incidido en retener y aun aumentar la población en los pequeños poblados estudiados. La forestación también ha aumentado el empleo pero por otro lado ha precarizado la relación laboral. El artículo también sugiere la existencia de dos modelos forestales distintos: uno con transformación de la materia prima en el lugar que da lugar aun desarrollo mas equilibrado, y otro modelo destinado a la producción de pasta de celulosa fuera de la localidad donde los desequilibrios poblacionales y la precarización del empleo parecen ser mayores. SUMMARY: In the context of the important social changes that are taking place in the last decades of the XXth. Century,
this paper explores the consequences of afforestation in local population changes and in employment. In the small rural villages that were studied, afforestation has increased population. It has also increased employment but creating low quality (precarious) jobs. The paper also suggests the existence of two different afforestation models: one in which timber is transformed in place resulting in a more balanced development, and another in which timber is exported to other regions to produce cellulose pulp where population changes and employment
precarization seem to be worse. |
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Palabras claves : |
AFFORESTATION; DESARROLLO TERRITORIAL; EMPLEO; EMPLEO PRECARIO; FORESTACIÓN; POBLACIÓN RURAL; PRECARIOUS EMPLOYMENT; RURAL POPULATION; RURALIDAD; SECTOR FORESTAL-MADERERO; URUGUAY. |
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Asunto categoría : |
K10 Producción forestal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14631/1/Agrociencia2006v10n2p63-73.pdf
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Marc : |
LEADER 03098naa a2200277 a 4500
001 1026779
005 2020-09-09
008 2006 bl uuuu u00u1 u #d
100 1 $aCARÁMBULA, M.
245 $aLa forestación en Uruguay$bcambio demográfico y empleo en tres localidades// [Afforestation in Uruguay: Demographic changes and employment in trhee villages].$h[electronic resource]
260 $c2006
500 $aArticle history: Recibido: 20/03/06 Aceptado: 04/09/06. AGRADECIMIENTOS: Agradecemos al equipo de investigación liderado por los Dres. José Paruelo y Esteban Jobbaggy del IFEVA, Facultad de Agronomía de la Universidad de Buenos Aires por habernos invitado a participar del Proyecto IAISGP 004 "Climate and land use controls on ecosystem functioning". lo cual dió inicio a una productiva cooperación no solo entre equipos de distintos países sino también entre equipos de distintas disciplinas. También queremos agradecer a todas las nstituciones y a los pobladores de las tres localidades donde se llevó a cabo el estudio de caso, sus autoridades, líderes locales y vecinos por la disposición mostrada para colaborar con el mismo.
520 $aRESUMEN: En el contexto de los grandes cambios a nivel societal que están ocurriendo en los últimas décadas del siglo XX en este artículo se analizan los impactos que tiene la forestación sobre los cambios demográficos y el empleo. La forestación parece haber incidido en retener y aun aumentar la población en los pequeños poblados estudiados. La forestación también ha aumentado el empleo pero por otro lado ha precarizado la relación laboral. El artículo también sugiere la existencia de dos modelos forestales distintos: uno con transformación de la materia prima en el lugar que da lugar aun desarrollo mas equilibrado, y otro modelo destinado a la producción de pasta de celulosa fuera de la localidad donde los desequilibrios poblacionales y la precarización del empleo parecen ser mayores. SUMMARY: In the context of the important social changes that are taking place in the last decades of the XXth. Century, this paper explores the consequences of afforestation in local population changes and in employment. In the small rural villages that were studied, afforestation has increased population. It has also increased employment but creating low quality (precarious) jobs. The paper also suggests the existence of two different afforestation models: one in which timber is transformed in place resulting in a more balanced development, and another in which timber is exported to other regions to produce cellulose pulp where population changes and employment precarization seem to be worse.
653 $aAFFORESTATION
653 $aDESARROLLO TERRITORIAL
653 $aEMPLEO
653 $aEMPLEO PRECARIO
653 $aFORESTACIÓN
653 $aPOBLACIÓN RURAL
653 $aPRECARIOUS EMPLOYMENT
653 $aRURAL POPULATION
653 $aRURALIDAD
653 $aSECTOR FORESTAL-MADERERO
653 $aURUGUAY
700 1 $aPIÑEIRO, D
773 $tAgrociencia Uruguay, 2006, 10(2):63-73
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INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
30/11/2020 |
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Actualizado : |
05/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
WANG, X.; SILVA, P.; BELLO, N.M.; SINGH, D.; EVERS, B.; SINGH, R.P.; POLAND, J. |
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Afiliación : |
XU WANG, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.;Department of Plant Pathology, Kansas State University, Manhattan, KS, United States; Interdepartmental Genetics, Kansas State University, Manhattan, KS, United State; NORA M. BELLO, Department of Statistics, Kansas State University, Manhattan, KS, United States,; DALJIT SINGH, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; BYRON EVERS, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; RAVI P. SINGH, Global Wheat Program, International Maize and Wheat Improvement Center, Mexico City, Mexico.; JESSE POLAND1, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States. |
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Título : |
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Frontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093 |
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DOI : |
10.3389/fpls.2020.587093 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020. |
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Contenido : |
The development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection. MenosThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-s... Presentar Todo |
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Palabras claves : |
CANOPY TEMPERATURE; GROUND COVER; HIGH-THROUGHPUT PHENOTYPING; NORMALIZED DIFFERENCE VEGETATION INDEX; UNMANNED AERIAL SYSTEMS; WHEAT. |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16703/1/fpls-11-587093.pdf
https://www.frontiersin.org/articles/10.3389/fpls.2020.587093/pdf
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Marc : |
LEADER 03406nam a2200289 a 4500
001 1061531
005 2022-09-05
008 2020 bl uuuu u0uu1 u #d
024 7 $a10.3389/fpls.2020.587093$2DOI
100 1 $aWANG, X.
245 $aImproved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images.$h[electronic resource]
260 $aFrontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093$c2020
500 $aArticle history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020.
520 $aThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection.
650 $aTRIGO
653 $aCANOPY TEMPERATURE
653 $aGROUND COVER
653 $aHIGH-THROUGHPUT PHENOTYPING
653 $aNORMALIZED DIFFERENCE VEGETATION INDEX
653 $aUNMANNED AERIAL SYSTEMS
653 $aWHEAT
700 1 $aSILVA, P.
700 1 $aBELLO, N.M.
700 1 $aSINGH, D.
700 1 $aEVERS, B.
700 1 $aSINGH, R.P.
700 1 $aPOLAND, J.
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