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home [2017/03/30 18:30]
noblet [Publications]
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 __**Published**__ __**Published**__
  
-1. Bontemps JD, Bouriaud O. 2013. Predictive approaches to forest site productivity : recent trends, challenges, and future perspectives. Review paper, Forestry.+  - Achat, D., Augusto, L., Gallet-Budynek,​ A., Loustau, D. (2016). Future challenges in coupled C–N–P cycle models for terrestrial ecosystems under global change: a review. Biogeochemistry,​ 131 (1-2), 173-202. DOI : 10.1007/​s10533-016-0274-9 
 +  - Albaugh, T. J., Albaugh, J. M., Fox, T. R., Allen, H. L., Rubilar, R. A., Trichet, P., Loustau, D., Linder, S. (2016). Tamm Review: Light use efficiency and carbon storage in nutrient and water experiments on major forest plantation species. Forest Ecology and Management, 376, 333-342. DOI : 10.1016/​j.foreco.2016.05.031 http://​prodinra.inra.fr/​record/​358897  
 +  - Bontemps JD, Bouriaud O. 2013. Predictive approaches to forest site productivity : recent trends, challenges, and future perspectives. Review paper, Forestry. 
 +  - Calvet, J.-C., Lafont, S., Cloppet, E., Souverain, F., Badeau, V., & Le Bas, C. (2012). Use of agricultural statistics to verify the interannual variability in land surface models: a case study over France with ISBA-A-gs. Geoscientific Model Development,​ 5(1), 37–54. http://​doi.org/​10.5194/​gmd-5-37-2012 
 +  - Caubel, J., García de Cortázar-Atauri,​ I., Launay, M., de Noblet-Ducoudré,​ N., Huard, F., Bertuzzi, P., & Graux, A.-I. (2015). Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological,​ technical and quality criteria. Agricultural and Forest Meteorology,​ 207, 94–106. http://​doi.org/​10.1016/​j.agrformet.2015.02.005 
 +  - Caubel, J., Cortazar-atauri,​ I. G. De, Vivant, A. C., Launay, M., & Noblet-ducoudré,​ N. De. (2017). Assessing future meteorological stresses for grain maize in France. Agricultural Systems. http://​doi.org/​10.1016/​j.agsy.2017.02.010 
 +  - Chakir, R., & Lungarska, A. (2016). Agricultural land rents in land use models: a spatial econometric analysis. Spatial Economic Analysis, (online first), 1–36. http://​dx.doi.org/​10.1080/​17421772.2017.1273542 
 +  - Habets F., P. Viennot, P. Verjus (2014). Changement climatique sur le bassin de la Seine: de la quantification des impacts vers l’adaptation. Revue Géologues, 183, p 94-99 
 +  - Laanaia, N., Carrer, D., Calvet, J., & Pagé, C. (2016). Climate Risk Management How will climate change affect the vegetation cycle over France ? A generic modeling approach. Climate Risk Management, 13, 31–42. http://​doi.org/​10.1016/​j.crm.2016.06.001 
 +  - Leclère, D., Jayet, P. A., & de Noblet-Ducoudré,​ N. (2013). Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change. Ecological Economics, 87, 1–14.  
 +  - Lefèvre, F., Loustau, D., Marcais, B. (2015). Vers une gestion adaptative des forêts. Pour la Science, 18-21. http://​prodinra.inra.fr/​record/​340207 
 +  - Lobianco, A., Delacote, P., Caurla, S., & Barkaoui, A. (2015). The importance of introducing spatial heterogeneity in bio-economic forest models : Insights gleaned from FFSM ++. Ecological Modelling, 309–310, 82–92. http://​doi.org/​10.1016/​j.ecolmodel.2015.04.012 
 +  - Lobianco, A., S. Caurla, P. Delacote, A. Barkaoui (2016a), “Carbon mitigation potential of the French forest sector under threat of combined physical and market impacts due to climate change.”, Journal of Forest Economics, Volume 23, April 2016, Pages 4–26 
 +  - Lobianco, A., P. Delacote, S. Caurla, A. Barkaoui (2016b), “Accounting for active management and risk attitude in forest sector models. An impact study on French forests”, Environmental Modeling and Assessment, June 2016, Volume 21, Issue 3, Pages 391–405 
 +  - Lungarska, A., & Jayet, P.-A. (2016). Impact of Spatial Differentiation of Nitrogen Taxes on French Farms’ Compliance Costs. Environmental and Resource Economics, (online first), (1-21). http://​doi.org/​10.1007/​s10640-016-0064-9 
 +  - Philibert, A., Loyce, C., & Makowski, D. (2012). Quantifying Uncertainties in N 2 O Emission Due to N Fertilizer Application in Cultivated Areas, 7(11). http://​doi.org/​10.1371/​journal.pone.0050950  
 +  - Wernsdörfer H, Colin A, Bontemps JD, CHevalier H, Pignard G, Caurla S, Leban JM, Hervé JC, Fournier M. Large-scale dynamics of a heterogeneous forest resource are driven jointly by geographically varying growth conditions, tree species composition and stand structure. Annals of Forest Science 69 (7), 829-844 
 +  - Wilcox, J., & Makowski, D. (2014). Field Crops Research A meta-analysis of the predicted effects of climate change on wheat yields using simulation studies. Field Crops Research, 156, 180–190. http://​doi.org/​10.1016/​j.fcr.2013.11.008
  
-2. Calvet, J.-C., Lafont, S., Cloppet, E., Souverain, F., Badeau, V., & Le Bas, C. (2012). Use of agricultural statistics to verify the interannual variability in land surface models: a case study over France with ISBA-A-gs. Geoscientific Model Development,​ 5(1), 37–54. http://​doi.org/​10.5194/​gmd-5-37-2012 
  
-3. Caubel, J., García de Cortázar-Atauri,​ I., Launay, M., de Noblet-Ducoudré,​ N., Huard, F., Bertuzzi, P., & Graux, A.-I. (2015). Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological,​ technical and quality criteria. Agricultural and Forest Meteorology,​ 207, 94–106. http://​doi.org/​10.1016/​j.agrformet.2015.02.005+__**Submitted**__
  
-4. Caubel, J., Cortazar-atauri, I. G. De, Vivant, A. C., Launay, M., & Noblet-ducoudréN. De. (2017). Assessing future meteorological stresses for grain maize in France. Agricultural Systems. http://​doi.org/​10.1016/​j.agsy.2017.02.010+  ​Lungarska, A, & ChakirR. (soumis à Ecological Economics ;mono partenaire). Climate induced land use change ​in France : impacts of agricultural adaptation and climate change mitigation
  
-5. Chakir, R., & Lungarska, A. (2016). Agricultural land rents in land use models: a spatial econometric analysis. Spatial Economic Analysis, (online first), 1–36. http://​dx.doi.org/​10.1080/​17421772.2017.1273542 
  
-6. Habets F., P. Viennot, P. Verjus (2014). Changement climatique sur le bassin de la Seine: de la quantification des impacts vers l’adaptation. Revue Géologues, 183, p 94-99+====== Deliverables ======
  
-7. Laanaia, N., Carrer, D., Calvet, J., & Pagé, C. (2016). Climate Risk Management How will climate change affect the vegetation cycle over France ? A generic modeling approach. Climate Risk Management, 13, 31–42. http://​doi.org/​10.1016/​j.crm.2016.06.001+**Ce sont les Rapports qui ne donneront pas lieu à des publications.**
  
-8. Leclère,​ D., Jayet, P. A., & de Noblet-Ducoudré, N. (2013). Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change. Ecological Economics, 87, 1–14.+Sophie Wieruszeski ​Nathalie ​de Noblet (LSCE): "​**Ajustement de la phénologie d’ORCHIDEE par rapport à STICS**"​ {{ ::​oracle_rapport-orchidee_janv2014.pdf |}}
  
-9. Lobianco,​ A., Delacote, P., Caurla, S., & Barkaoui, A. (2015). The importance of introducing spatial heterogeneity in bio-economic forest models Insights gleaned from FFSM ++. Ecological Modelling, 309–310, 82–92. http://​doi.org/​10.1016/​j.ecolmodel.2015.04.012+Pierre Mérian et Jean-Daniel Bontemps ​(LERFoB): "​**Modèles d’impact climatique pour la productivité et la probabilité de présence d’espèces ligneuses principales de la forêt française**" ​ {{ ::​oracle_rapportforets-lerfob_oct2016.pdf |}}
  
-10. Lobianco,​ A., S. Caurla, P. Delacote, A. Barkaoui ​(2016a), “Carbon mitigation potential of the French forest sector under threat of combined physical and market ​impacts ​due to climate change.”, Journal of Forest Economics, Volume 23, April 2016, Pages 4–26+Anne-Isabelle Graux (UREP): "​I**ndicateurs proposés pour l’évaluation des impacts ​du changement climatique**" ​ {{ ::​oracle_indicateurs_climatiques_oct2011.pdf |}}
  
-11. Lobianco,​ A., P. Delacote, S. Caurla, A. Barkaoui ​(2016b), “Accounting for active management and risk attitude in forest sector modelsAn impact study on French forests”, Environmental Modeling and Assessment, June 2016, Volume 21, Issue 3, Pages 391–405+Anne-Charlotte Vivant ​(LSCE): "​**Validité de l’utilisation des données SAFRAN**" ​  {{ ::​oracle_validitedonneessafran_janv2016.pdf |}}
  
-12. Lungarska,​ A., & Jayet, P.-A. (2016). Impact of Spatial Differentiation of Nitrogen Taxes on French Farms’ Compliance Costs. Environmental and Resource Economics, (online first), (1-21). http://​doi.org/​10.1007/​s10640-016-0064-9 
  
-13. Philibert,​ A., Loyce, C., & Makowski, D. (2012). Quantifying Uncertainties in N 2 O Emission Due to N Fertilizer Application in Cultivated Areas, 7(11). http://​doi.org/​10.1371/​journal.pone.0050950 ​+====== Rapport Final du projet ORACLE ======
  
-14. Wernsdörfer H, Colin A, Bontemps JD, CHevalier H, Pignard G, Caurla S, Leban JM, Hervé JC, Fournier M. Large-scale dynamics of a heterogeneous forest resource are driven jointly by geographically varying growth conditions, tree species composition and stand structure. Annals of Forest Science 69 (7), 829-844 +Rapport soumis à l'ANR le 31 Mars 2017: {{ ::​oracle_compte-rendu-final_mars2017_vfinale-31mars2017.docx |}}
- +
-15. Wilcox, J., & Makowski, D. (2014). Field Crops Research A meta-analysis of the predicted effects of climate change on wheat yields using simulation studies. Field Crops Research, 156, 180–190. http://​doi.org/​10.1016/​j.fcr.2013.11.008 +
- +
-__**Submitted**__+
  
-16. Lungarska,​ A, & Chakir, R. (soumis à Ecological Economics ;mono partenaire). Climate induced land use change in France : impacts of agricultural adaptation and climate change mitigation. ​ 
  
 ====== Work Package 1 ====== ====== Work Package 1 ======
home.1490891428.txt.gz · Dernière modification: 2017/03/30 18:30 par noblet