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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
04/03/2020 |
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Actualizado : |
04/03/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CUBBAGE, F.; KANIESKI, B.; RUBILAR, R.; BUSSONI, A.; OLMOS, V. M.; BALMELLI, G.; MAC DONAGH, P.; LORD, R.; HERNÁNDEZ, C.; ZHANG, P.; HUANG, J.; KORHONENK, J.; YAO, R.; HALL, P.; DELL LA TORRE, R.; DÍAZ-BALTEIRO, L.; CARRERO, O.; MONGES, E.; THU, H.T.T.; FREY, G.; HOWARD, M.; CHAVET, M.; MOCHAN, S.; HOEFLICH, V.A.; CHUDY, R.; MAASS, D.; CHIZMAR, S.; ABT, R. |
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Afiliación : |
FREDERICK CUBBAGE, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; BRUNO KANIESKI, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; RAFAEL RUBILAR, Cooperativa de Productividad Forestal, Departamento de Silvicultura, Facultad de Ciencias Forestales, Universidad de Concepción, Concepción, Chile; ADRIANA BUSSONI, Facultad de Agronomia, Universidad de la República, Montevideo, Uruguay; VIRGINIA MORALES OLMOS, Departamento de Ciencias Económicas, Universidad de la República, Tacuarembó, Uruguay; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PATRICIO MAC DONAGH, Facultad de Ciencias Forestales, Universidad Nacional de Misiones, Eldorado, Misiones, Argentina; ROGER LORD, Mason, Bruce & Girard, Inc., Portland, OR, United States; CARMELO HERNÁNDEZ, Commisión Nacional Forestal, Guadalajara, Mexico; PU ZHANG, Institute of Desertification Studies, Chinese Academy of Forestry, Beijing, China; JIN HUANG, Abt Associates, Bethesda, MD, United States; JAANA KORHONEN, Department of Forest Sciences, University of Helsinki, Finland; RICHARD YAO, Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand; PETER HALL, Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand; RAFAEL DELL LA TORRE, ArborGen Inc., Ridgeville, SC, United States; LUIS DÍAZ-BALTEIRO, Universidad Politécnica de Madrid. E.T.S. de Ingeniería de Montes, Forestal y del Medio Natural, Madrid, Spain; OMAR CARRERO, Facultad de Ciencias Forestales, Universidad de Los Andes, Mérida, Venezuela; ELIZABETH MONGES, Universidad Nacional de Asunción, Asunción, Paraguay; HA TRAN THI THU, Research Institute for Forest Ecology and Environment, Vietnamese Academy for Forest Sciences, Hanoi, Viet Nam; GREGORY FREY, USDA Forest Service, Southern Research Station, Research Triangle Park, NC, United States; MIKE HOWARD, Fractal Forest Africa, Umhlali, South Africa; MICHAEL CHAVET, Woodilee Consultancy Ltd, Glasgow, Scotland, United Kingdom; SHAUN MOCHAN, Woodilee Consultancy Ltd, Glasgow, Scotland, United Kingdom; VICTOR ALFONSO HOEFLICH, Departamento de Economia Rural e Extensão, Universidade Federal do Paraná, Curitiba, PR, Brazil; RAFAL CHUDY, Forest Business Analytics Sp. z o.o., ?ód?, Poland; DAVID MAASS, Forestry Consultant, Bluffton, SC and Westbrook, ME, United States; STEPHANIE CHIZMAR, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; ROBERT ABT, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States. |
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Título : |
Global timber investments, 2005 to 2017. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Forest Policy and Economics, March 2020, Volume 112, Article number 102082. OPEN ACCESS. Doi: https://doi.org/10.1016/j.forpol.2019.102082 |
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ISSN : |
1389-9341 |
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DOI : |
10.1016/j.forpol.2019.102082 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 April 2019 / Revised 4 November 2019 / Accepted 13 December 2019 / Available online 7 February 2020.
Corresponding author: Frederick Cubbage - email:fred_cubbage@ncsu.edu
This research was partially funded by the Southern Forest Resource Assessment Consortium (SOFAC) at North Carolina State University, United States , as well as by the time and salaries provided to each of the co-authors by their respective organizations. |
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Contenido : |
ABSTRACT.
We estimated timber investment returns for 22 countries and 54 species/management regimes in 2017, for a range of global timber plantation species and countries at the stand level, using capital budgeting criteria, without land costs, at a real discount rate of 8%. Returns were estimated for the principal plantation countries in the Americas?Brazil, Argentina, Uruguay, Chile, Colombia, Venezuela, Paraguay, Mexico, and the United States?as well as New Zealand, Australia, South Africa, China, Vietnam, Laos, Spain, Finland, Poland, Scotland, and France. South American plantation growth rates and their concomitant returns were generally greater, at more than 12% Internal Rates of Return (IRRs), as were those in China, Vietnam, and Laos. These IRRs were followed by those for plantations in southern hemisphere countries of Australia and New Zealand and in Mexico, with IRRs around 8%. Temperate forest plantations in the U.S. and Europe returned less, from 4% to 8%, but those countries have less financial risk, better timber markets, and more infrastructure. Returns to most planted species in all countries except Asia have decreased from 2005 to 2017. If land costs were included in calculating the overall timberland investment returns, the IRRs would decrease from 3 three percentage points less for loblolly pine in the U.S. South to 8 percentage points less for eucalypts in Brazil. © 2020 The Authors |
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Palabras claves : |
Benchmarking; Global trends; Internal rates of return; Land expectation value; Timber investments. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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URL : |
https://www.sciencedirect.com/science/article/pii/S1389934119302564/pdfft?md5=fc04003afa99feda8af4cda48c80cfb1&pid=1-s2.0-S1389934119302564-main.pdf
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Marc : |
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001 1060888
005 2020-03-04
008 2020 bl uuuu u00u1 u #d
022 $a1389-9341
024 7 $a10.1016/j.forpol.2019.102082$2DOI
100 1 $aCUBBAGE, F.
245 $aGlobal timber investments, 2005 to 2017.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 26 April 2019 / Revised 4 November 2019 / Accepted 13 December 2019 / Available online 7 February 2020. Corresponding author: Frederick Cubbage - email:fred_cubbage@ncsu.edu This research was partially funded by the Southern Forest Resource Assessment Consortium (SOFAC) at North Carolina State University, United States , as well as by the time and salaries provided to each of the co-authors by their respective organizations.
520 $aABSTRACT. We estimated timber investment returns for 22 countries and 54 species/management regimes in 2017, for a range of global timber plantation species and countries at the stand level, using capital budgeting criteria, without land costs, at a real discount rate of 8%. Returns were estimated for the principal plantation countries in the Americas?Brazil, Argentina, Uruguay, Chile, Colombia, Venezuela, Paraguay, Mexico, and the United States?as well as New Zealand, Australia, South Africa, China, Vietnam, Laos, Spain, Finland, Poland, Scotland, and France. South American plantation growth rates and their concomitant returns were generally greater, at more than 12% Internal Rates of Return (IRRs), as were those in China, Vietnam, and Laos. These IRRs were followed by those for plantations in southern hemisphere countries of Australia and New Zealand and in Mexico, with IRRs around 8%. Temperate forest plantations in the U.S. and Europe returned less, from 4% to 8%, but those countries have less financial risk, better timber markets, and more infrastructure. Returns to most planted species in all countries except Asia have decreased from 2005 to 2017. If land costs were included in calculating the overall timberland investment returns, the IRRs would decrease from 3 three percentage points less for loblolly pine in the U.S. South to 8 percentage points less for eucalypts in Brazil. © 2020 The Authors
653 $aBenchmarking
653 $aGlobal trends
653 $aInternal rates of return
653 $aLand expectation value
653 $aTimber investments
700 1 $aKANIESKI, B.
700 1 $aRUBILAR, R.
700 1 $aBUSSONI, A.
700 1 $aOLMOS, V. M.
700 1 $aBALMELLI, G.
700 1 $aMAC DONAGH, P.
700 1 $aLORD, R.
700 1 $aHERNÁNDEZ, C.
700 1 $aZHANG, P.
700 1 $aHUANG, J.
700 1 $aKORHONENK, J.
700 1 $aYAO, R.
700 1 $aHALL, P.
700 1 $aDELL LA TORRE, R.
700 1 $aDÍAZ-BALTEIRO, L.
700 1 $aCARRERO, O.
700 1 $aMONGES, E.
700 1 $aTHU, H.T.T.
700 1 $aFREY, G.
700 1 $aHOWARD, M.
700 1 $aCHAVET, M.
700 1 $aMOCHAN, S.
700 1 $aHOEFLICH, V.A.
700 1 $aCHUDY, R.
700 1 $aMAASS, D.
700 1 $aCHIZMAR, S.
700 1 $aABT, R.
773 $tForest Policy and Economics, March 2020, Volume 112, Article number 102082. OPEN ACCESS. Doi: https://doi.org/10.1016/j.forpol.2019.102082
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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
26/02/2021 |
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Actualizado : |
10/08/2021 |
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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 : |
BAETHGEN, W.E.; PARTON, W.P-; RUBIO, V.; KELLY, R.H.; LUTZ, S. |
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Afiliación : |
WALTER E. BAETHGEN, International Research Institute for Climate and Society, The Earth Institute, Columbia University, New York, USA.; WILLIAM J. PARTON, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA.; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBIN H. KELLY, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA.; SUSAN LUTZ, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA. |
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Título : |
Ecosystem dynamics of crop-pasture rotations in a fifty-year field experiment in Southern South America: Century model and field results. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Soil Science Society of America Journal, Volume 85, Issue 2, Pages 423-437, March/April 2021. DOI: https://doi.org/10.1002/saj2.20204 |
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DOI : |
doi.org/10.1002/saj2.20204 |
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Idioma : |
Inglés |
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Notas : |
Article History: Accepted manuscript online: 26 November 2020; Manuscript accepted: 18 November 2020; Manuscript revised: 02 November 2020 ; Manuscript received: 12 February 2020; Published online: 24 March 2021. |
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Contenido : |
Abstract:
The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of the time to 25% reduces crop yields and soil C. Including cover crops substantially increases crop production and maintains soil C in high fertility and degraded cropping systems MenosAbstract:
The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of ... Presentar Todo |
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Palabras claves : |
CROP PASTURE ROTATION; CROPPING SYSTEMS; GRASS-CLOVER PASTURES; HIGH FERTILITY. |
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Thesagro : |
CICLO DEL CARBONO; CICLO DEL NITROGENO; ECOSISTEMAS; SUELOS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02844naa a2200289 a 4500
001 1061775
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
024 7 $adoi.org/10.1002/saj2.20204$2DOI
100 1 $aBAETHGEN, W.E.
245 $aEcosystem dynamics of crop-pasture rotations in a fifty-year field experiment in Southern South America$bCentury model and field results.$h[electronic resource]
260 $c2021
500 $aArticle History: Accepted manuscript online: 26 November 2020; Manuscript accepted: 18 November 2020; Manuscript revised: 02 November 2020 ; Manuscript received: 12 February 2020; Published online: 24 March 2021.
520 $aAbstract: The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of the time to 25% reduces crop yields and soil C. Including cover crops substantially increases crop production and maintains soil C in high fertility and degraded cropping systems
650 $aCICLO DEL CARBONO
650 $aCICLO DEL NITROGENO
650 $aECOSISTEMAS
650 $aSUELOS
653 $aCROP PASTURE ROTATION
653 $aCROPPING SYSTEMS
653 $aGRASS-CLOVER PASTURES
653 $aHIGH FERTILITY
700 1 $aPARTON, W.P-
700 1 $aRUBIO, V.
700 1 $aKELLY, R.H.
700 1 $aLUTZ, S.
773 $tSoil Science Society of America Journal, Volume 85, Issue 2, Pages 423-437, March/April 2021. DOI: https://doi.org/10.1002/saj2.20204
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