| |
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Tacuarembó. |
|
Fecha : |
09/12/2015 |
|
Actualizado : |
20/09/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
CUBBAGE, F.; MAC DONAGH, P.; BALMELLI, G.; MORALES OLMOS, V.; BUSSONI, A.; RUBILAR, R.; DE LA TORRE, R.; LORD, R.; HUANG, J.; HOEFLICH, V.A.; MURARA, M.; KANIESKI, B.; HALL, P.; YAO, R.; ADAMS, P.; KOTZE, H.; MONGES, E.; HERNÁNDEZ PÉREZ, C.; WIKLE, J.; ABT, R.; GONZALEZ, R.; CARRERO, O. |
|
Afiliación : |
FREDERICK CUBBAGE, Forestry and Environmental Resources, North Carolina State University, USA.; PATRICIO MAC DONAGH, Universidad Nacional de Misiones (UNAM), Eldorado, Misiones, Argentina.; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIRGINIA MORALES OLMOS, University of Georgia, Athens, Georgia, USA; ADRIANA BUSSONI, Universidad de la República, Montevideo, Uruguay; RAFAEL RUBILAR, Universidad de Concepción, Concepción, Chile.; RAFAEL DE LA TORRE, ArborGen, Ridgeville, South Carolina, USA; ROGER LORD, Mason, Bruce, & Girard, Inc., Portland, Oregon, USA.; JIN HUANG, Abt Associates, USA; VITOR AFONSO HOEFLICH, Universidade Federal do Paraná, Paraná, Brasil; MAURO MURARA, Universidade do Contestado, Santa Catarina, Brasil; BRUNO KANIESKI, Universidade do São Paulo, Piracicaba, Brasil; PETER HALL, New Zealand Forest Research Institute Ltd., New Zealand.; RICHARD YAO, New Zealand Forest Research Institute Ltd., New Zealand.; PAUL ADAMS, Forestry Tasmanaia, Australia.; HEYNS KOTZE, Mondi Group, South Africa.; ELIZABETH MONGES, Universidad de Asunción, Asunción, Paraguay.; CARMELO HERNÁNDEZ PÉREZ, Comisión Nacional Forestal, México.; JEFF WIKLE, TerraSource Valuation, Waxhaw, NC. USA.; ROBERT ABT, North Carolina State University, Raleigh, North Carolina, USA; RONALDS GONZALEZ, North Carolina State University, Raleigh, North Carolina, USA.; OMAR CARRERO, North Carolina State University, Raleigh, North Carolina, USA. |
|
Título : |
Global timber investments and trends, 2005-2011. |
|
Fecha de publicación : |
2014 |
|
Fuente / Imprenta : |
New Zealand Journal of Forestry Science, 2014, 44(Suppl 1):S7. |
|
DOI : |
10.1186/1179-5395-44-S1-S7 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Published: 26 November 2014. |
|
Contenido : |
Prior research in 2005 and 2008 estimated planted forest investment returns for a set of countries and included some natural forest species in a few countries. This research has extended those analyses to a larger set of countries and focused on plantation species, for seven years. This research serves as a "benchmarking" exercise that helps identify comparative advantages among countries for timber investment returns, as well as other institutional, forestry, and policy factors that affect investments. Furthermore, it extends the analyses to examine the effects of land prices, environmental regulations, and increased productivity on timber investment returns, as well as comparing timber returns with traditional stock market returns. |
|
Thesagro : |
FORESTACIÓN; MADERA; RENTABILIDAD. |
|
Asunto categoría : |
K10 Producción forestal |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5363/1/Balmelli.pdf
http://www.nzjforestryscience.com/content/pdf/1179-5395-44-S1-S7.pdf
|
|
Marc : |
LEADER 01882naa a2200433 a 4500
001 1054092
005 2019-09-20
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1186/1179-5395-44-S1-S7$2DOI
100 1 $aCUBBAGE, F.
245 $aGlobal timber investments and trends, 2005-2011.$h[electronic resource]
260 $c2014
500 $aArticle history: Published: 26 November 2014.
520 $aPrior research in 2005 and 2008 estimated planted forest investment returns for a set of countries and included some natural forest species in a few countries. This research has extended those analyses to a larger set of countries and focused on plantation species, for seven years. This research serves as a "benchmarking" exercise that helps identify comparative advantages among countries for timber investment returns, as well as other institutional, forestry, and policy factors that affect investments. Furthermore, it extends the analyses to examine the effects of land prices, environmental regulations, and increased productivity on timber investment returns, as well as comparing timber returns with traditional stock market returns.
650 $aFORESTACIÓN
650 $aMADERA
650 $aRENTABILIDAD
700 1 $aMAC DONAGH, P.
700 1 $aBALMELLI, G.
700 1 $aMORALES OLMOS, V.
700 1 $aBUSSONI, A.
700 1 $aRUBILAR, R.
700 1 $aDE LA TORRE, R.
700 1 $aLORD, R.
700 1 $aHUANG, J.
700 1 $aHOEFLICH, V.A.
700 1 $aMURARA, M.
700 1 $aKANIESKI, B.
700 1 $aHALL, P.
700 1 $aYAO, R.
700 1 $aADAMS, P.
700 1 $aKOTZE, H.
700 1 $aMONGES, E.
700 1 $aHERNÁNDEZ PÉREZ, C.
700 1 $aWIKLE, J.
700 1 $aABT, R.
700 1 $aGONZALEZ, R.
700 1 $aCARRERO, O.
773 $tNew Zealand Journal of Forestry Science, 2014, 44(Suppl 1):S7.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Tacuarembó (TBO) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Treinta y Tres. |
|
Fecha actual : |
14/02/2022 |
|
Actualizado : |
14/03/2022 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
Autor : |
GRAHMANN, K.; TERRA, J.A.; ELLERBROCK, R.; RUBIO, V.; BARRO, R.; CAMAÑO, A.; QUINCKE, A. |
|
Afiliación : |
KATHRIN GRAHMANN, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg, Germany; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUTH ELLERBROCK, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAQUEL BARRO, Postdoctoral Scholarship ANII (National agency of innovation and research, Uruguay); ALEJANDRO CAMAÑO, Service Unit for the Evaluation of Quality and Environmental Control, Department of Environmental Development, Intendancy of Montevideo, Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
|
Título : |
Data accuracy and method validation of chemical soil properties in long-term experiments: Standard operating procedures for a non-certified soil laboratory in Latin America. |
|
Fecha de publicación : |
2022 |
|
Fuente / Imprenta : |
Geoderma Regional, 2022. Volume 28, Article number e00487. OPEN ACCESS. doi: https://doi.org/10.1016/j.geodrs.2022.e00487 |
|
DOI : |
10.1016/j.geodrs.2022.e00487 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 9 May 2021, Revised 20 December 2021, Accepted 2 February 2022, Available online 6 February 2022. |
|
Contenido : |
ABSTRACT.- Long-term agricultural experiments (LTE) are essential to detect cumulative treatment effects on soil properties and to design sustainable production systems. However, to ensure high quality of long-term soil data and their correct interpretation, several analytical issues regarding the accuracy and analytical laboratory bias need to be considered. This paper aims to (1) evaluate laboratory precision and trueness of analytical soil data for the evaluation of long-term trends in LTE and to (2) assess the limitations and challenges for non-certified soil laboratories that might compromise the quality of analytical soil data. A data set of internal reference soil materials (IRM) collected over 16?years and interlaboratory data from eleven years were analyzed to verify method precision, trueness, and the subsequent long-term dataset reliability for several soil quality parameters: organic carbon (SOC, determined either by wet or dry combustion), pH (water), extractable phosphorous (either Bray I or citric acid; Bray-P or citric acid-P), and exchangeable potassium (Kexch). Results showed that IRM used by the laboratory were homogenous in terms of physical and chemical composition and appropriate to confirm the precision of long-term soil survey data. The relative standard deviation for repeatability and reproducibility (RSDR) ranged from 1.5% for SOC by wet combustion to 9.5% for citric acid-P. HorRat values (the ratio of the estimated standard deviations of reproducibility and the repeatability found for individual analytical procedures) for all chemical soil properties were within the acceptable ranges of <2.0. Interlaboratory trials for soil pH and SOC showed tolerable standard Z-Scores under 2.0 (Z-Score, calculated from the difference between laboratory results and the assigned value divided by the standard deviation), verifying the trueness of data. The results of this study reinforce the validity of analytical soil data originating from the non-certified laboratory in Uruguay obtaining both precise and true soil quality data over a long period of time for most soil analytes. Nevertheless, the analytical flaws in LTE soil monitoring were revealed and can only be minimized in ongoing and future studies through the inclusion of certified reference material. These recommendations should guide future research activities in LTE studies on analytical data quality management as a requirement for long-term soil monitoring. Finally, the paper proposes a proficiency testing procedure for soil laboratories to achieve and maintain high analytical quality for LTE soil research.
© 2022 The Authors. Published by Elsevier B.V. MenosABSTRACT.- Long-term agricultural experiments (LTE) are essential to detect cumulative treatment effects on soil properties and to design sustainable production systems. However, to ensure high quality of long-term soil data and their correct interpretation, several analytical issues regarding the accuracy and analytical laboratory bias need to be considered. This paper aims to (1) evaluate laboratory precision and trueness of analytical soil data for the evaluation of long-term trends in LTE and to (2) assess the limitations and challenges for non-certified soil laboratories that might compromise the quality of analytical soil data. A data set of internal reference soil materials (IRM) collected over 16?years and interlaboratory data from eleven years were analyzed to verify method precision, trueness, and the subsequent long-term dataset reliability for several soil quality parameters: organic carbon (SOC, determined either by wet or dry combustion), pH (water), extractable phosphorous (either Bray I or citric acid; Bray-P or citric acid-P), and exchangeable potassium (Kexch). Results showed that IRM used by the laboratory were homogenous in terms of physical and chemical composition and appropriate to confirm the precision of long-term soil survey data. The relative standard deviation for repeatability and reproducibility (RSDR) ranged from 1.5% for SOC by wet combustion to 9.5% for citric acid-P. HorRat values (the ratio of the estimated standard deviations of reproducib... Presentar Todo |
|
Palabras claves : |
Data precision; Internal reference material; Repeatability; Reproducibility; Soil organic carbon; Trueness; URUGUAY. |
|
Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
|
URL : |
https://www.sciencedirect.com/science/article/pii/S2352009422000074/pdf?md5=8d5a81ff8de54639cfdb18c6fdec1c4a&pid=1-s2.0-S2352009422000074-main.pdf
|
|
Marc : |
LEADER 03790naa a2200301 a 4500
001 1062741
005 2022-03-14
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1016/j.geodrs.2022.e00487$2DOI
100 1 $aGRAHMANN, K.
245 $aData accuracy and method validation of chemical soil properties in long-term experiments$bStandard operating procedures for a non-certified soil laboratory in Latin America.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 9 May 2021, Revised 20 December 2021, Accepted 2 February 2022, Available online 6 February 2022.
520 $aABSTRACT.- Long-term agricultural experiments (LTE) are essential to detect cumulative treatment effects on soil properties and to design sustainable production systems. However, to ensure high quality of long-term soil data and their correct interpretation, several analytical issues regarding the accuracy and analytical laboratory bias need to be considered. This paper aims to (1) evaluate laboratory precision and trueness of analytical soil data for the evaluation of long-term trends in LTE and to (2) assess the limitations and challenges for non-certified soil laboratories that might compromise the quality of analytical soil data. A data set of internal reference soil materials (IRM) collected over 16?years and interlaboratory data from eleven years were analyzed to verify method precision, trueness, and the subsequent long-term dataset reliability for several soil quality parameters: organic carbon (SOC, determined either by wet or dry combustion), pH (water), extractable phosphorous (either Bray I or citric acid; Bray-P or citric acid-P), and exchangeable potassium (Kexch). Results showed that IRM used by the laboratory were homogenous in terms of physical and chemical composition and appropriate to confirm the precision of long-term soil survey data. The relative standard deviation for repeatability and reproducibility (RSDR) ranged from 1.5% for SOC by wet combustion to 9.5% for citric acid-P. HorRat values (the ratio of the estimated standard deviations of reproducibility and the repeatability found for individual analytical procedures) for all chemical soil properties were within the acceptable ranges of <2.0. Interlaboratory trials for soil pH and SOC showed tolerable standard Z-Scores under 2.0 (Z-Score, calculated from the difference between laboratory results and the assigned value divided by the standard deviation), verifying the trueness of data. The results of this study reinforce the validity of analytical soil data originating from the non-certified laboratory in Uruguay obtaining both precise and true soil quality data over a long period of time for most soil analytes. Nevertheless, the analytical flaws in LTE soil monitoring were revealed and can only be minimized in ongoing and future studies through the inclusion of certified reference material. These recommendations should guide future research activities in LTE studies on analytical data quality management as a requirement for long-term soil monitoring. Finally, the paper proposes a proficiency testing procedure for soil laboratories to achieve and maintain high analytical quality for LTE soil research. © 2022 The Authors. Published by Elsevier B.V.
653 $aData precision
653 $aInternal reference material
653 $aRepeatability
653 $aReproducibility
653 $aSoil organic carbon
653 $aTrueness
653 $aURUGUAY
700 1 $aTERRA, J.A.
700 1 $aELLERBROCK, R.
700 1 $aRUBIO, V.
700 1 $aBARRO, R.
700 1 $aCAMAÑO, A.
700 1 $aQUINCKE, A.
773 $tGeoderma Regional, 2022. Volume 28, Article number e00487. OPEN ACCESS. doi: https://doi.org/10.1016/j.geodrs.2022.e00487
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
