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Home » CEF » Research Groups » ForChange » Publications

ISI Articles

  • 2019 - in progress
  1. Aubard V., Paulo J.A., Silva J.M.N. 2019. Long-term monitoring of cork and holm oak stands productivity in Portugal with Landsat imagery. Remote Sensing, 11(5): 525.
  2. Calvão T., Duarte C.M., Pimentel C.S. 2019. Climate and landscape patterns of pine forest decline after invasion by the pinewood nematode. Forest Ecology and Management, 433: 43-51.
  3. Crous-Duran J., Graves A.R., Garcia-de-Jalón S., Paulo J.A., Tomé M., Palma J.H.N. 2019. Assessing food sustainable intensification potential of agroforestry using a carbon balance method. iForest, 12: 85-91.
  4. Faias S.P., Paulo J.A., Firmino P.N., Tomé M. 2019. Drivers for annual cork growth under two understory management alternatives on a podzolic cork oak stand. Forests, 10(2): 133.
  5. Freire J.A., Rodrigues G.C., Tomé M. 2019. Climate change impacts on Pinus pinea L. silvicultural system for cone production and ways to contour those impacts: a review complemented with data from permanent plots. Forests, 10(2): 169.
  6. Gidey T., Oliveira T.S., Crous-Duran J., Palma J.H.N. 2019. Using the Yield-SAFE model to assess the impacts of climate change on yield of coffee (Coffea arabica L.) under agroforestry and monoculture systems. Agroforestry Systems. DOI: 10.1007/s10457-019-00369-5.
  7. Gschwantner T., Alberdi I., Balazs A., Bauwens S., Bender S., Borota D., Bosela M., Bouriaud O., Canellas I., Donis J., Freudenschuss A., Herve J.C., Hladnik D., Jansons J., Kolozs L., Korhonen K.T., Kucera M., Kulbokas G., Kuliesis A., Lanz A., Lejeune P., Lind T., Marin G., Morneau F., Nagy D., Nord-Larsen T., Nunes L., Pantic D., Paulo J.A., Pikula T., Redmond J., Rego F.C., Riedel T., Saint-Andre L., Seben V., Sims A., Skudnik M., Solti G., Tomter S.M., Twomey M., Westerlund B., Zell J. 2019. Harmonisation of stem volume estimates in European National Forest Inventories. Annals of Forest Science, 76(1): 24.
  8. Guerra-Hernández J., Cosenza D.N., Cardil A., Silva C.A., Botequim B., Soares P., Silva M., González-Ferreiro E., Díaz-Varela R.A. 2019. Predicting growing stock volume of Eucalyptus plantations using 3-D point clouds derived from UAV imagery and ALS data. Forests, 10(10): 905.
  9. Hossain M.A., Pavel M.A., Harada K., Beierkuhnlein C., Jentsch A., Belal Uddin M. 2019. Tree species diversity in relation to environmental variables and disturbance gradients in a northeastern forest in Bangladesh. Journal of Forestry Research,30(6): 2143-2150.
  10. Kaya S., Rega C., Moreno G., Den Herder M., Palma J.H.N., Borek R., Crous-Duran J., Freese D., Giannitsopoulos M., Graves A., Jäger M., Lamersdorf N., Memedemin D., Mosquera-Losada R., Pantera A., Paracchini M.L., Paris P., Roces-Díaz J.V., Rolo V., Rosati A., Sandor M., Smith J., Szerencsits E., Varga A., Viaud V., Wawer R., Burgess P.J., Herzog F. 2019. Agroforestry creates carbon sinks whilst enhancing the environment in agricultural landscapes in Europe. Land Use Policy, 83: 581-593.
  11. Nobre S.R., Borges J.G., Diaz-Balteiro L., Rodriguez L.C.E., von Glehn H.C., Zakia M.J. 2019. A generalizable monitoring model to implement policies to promote forest restoration – a case study in São Paulo – Brazil. Forest Policy and Economics, 103: 123-135.
  12. Rigueiro-Rodríguez A., Mosquera-Losada M.R., Ferreiro-Domínguez N. 2019. Use of sewage sludge in silvopastoral systems under Pinus radiata D. Don: soil, tree growth, and pasture production. Agroforestry Systems. DOI: 10.1007/s10457-018-0293-8.
  13. Santiago-Freijanes J.J., Mosquera-Losada M.R., Rois-Díaz M., Ferreiro-Domínguez N., Pantera A., Aldrey J.A., Rigueiro-Rodríguez A. 2019. Global and European policies to foster agricultural sustainability: agroforestry. Agroforestry Systems. DOI: 10.1007/s10457-018-0215-9.
  • 2018 - 32 articles
  1. Álvarez-Miranda E., Garcia-Gonzalo J., Ulloa-Fierro F., Wintraub A., Barreiro S. 2018. A multicriteria optimization model for forestry management under climate change uncertainty: an application in Portugal. European Journal of Operational Research, 269(1): 79-98.
  2. Arias-Rodil M., Dieguez-Aranda U., Alvarez-Gonzalez J.G., Perez-Cruzado C., Castedo-Dorado F., Gonzalez-Ferreiro E. 2018. Modeling diameter distributions in radiata pine plantations in Spain with existing countrywide LiDAR data. Annals of Forest Science, 75(2).
  3. Coll L.l., Ameztegui A., Collet C., Löf M., Mason W., Pach M., Verheyen K., Abrudan I., Barbati A., Barreiro S., Bielak K., Bravo-Oviedo A., Ferrari B., Govedar Z., Kulhavy J., Lazdina D., Metslaid M., Mohren F., Pereira M., Peric S., Rasztovits E., Spathelf P., Sterba H., Short I., Stojanovic D., Valsta L., Zlatanov T., Ponette Q. 2018. Knowledge gaps about mixed forests: what do European forest managers want to know and what answers can science provide? Forest Ecology and Management, 407:106-115.
  4. Correia A.C., Faias S.P., Ruiz-Peinado R., Chianucci F., Cutini A., Fontes L., Manetti M.C., Montero G., Soares P., Tomé M. 2018. Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin. Forest Ecology and Management, 429: 425-436.
  5. Correia A.C., Galla A., Nunes A., Pereira J.S. 2018. Ecological interactions between Cork Oak (Quercus suber L.) and Stone Pine (Pinus pinea L.): results from a pot experiment. Forests, 9(9): 534.
  6. Correia A.H., Almeida M.H., Branco M., Tomé M., Cordero-Montoya R., Di Lucchio L., Cantero A., Diez Casero J., Recio C.P., Bravo F., Garzia Bengoetxea N., Arias Gonzaléz A., Jinks R., Paillassa E., Patrick P., Rozados Lorenzo M.J., Silva Pando F.J., Traver M.C., Zabalza S., Nóbrega C., Ferreira M.C., Orazio C. 2018. Early survival and growth plasticity of 33 species planted in 38 Arboreta across the European Atlantic Area. Forests, 9(10): 630.
  7. Cosenza D.N., Soares V.P., Leite H.G., Gleriani J.M., Amaral C.H., Gripp Júnior J., Silva A.A.L., Soares P., Tomé M. 2018. Airborne laser scanning applied to eucalyptus stand inventory at individual tree level. Pesquisa Agropecuária Brasileira, 53(12): 1373-1382.
  8. de Jalón S.G., Burgess P.J., Graves A., Moreno G., McAdam J., Pottier E., Novak S., Bondesan V., Mosquera-Losada R., Crous-Duran J., Palma J.H.N., Paulo J.A., Oliveira T.S., Cirou E., Hannachi Y., Pantera A., Wartelle R., Kay S., Malignier N., Lerberghe P.V., Tsonkova P., Mirck J., Rois M., Kongsted A.G., Thenail C., Luske B., Berg S., Gosme M., Vityi A. 2018. How is agroforestry perceived in Europe? An assessment of positive and negative aspects by stakeholders. Agroforestry Systems, 92(4): 829-848.
  9. de Jalón S.G., Graves A., Moreno A., Palma J.H.N., Crous-Durán J., Kay S., Burgess P.J. 2018. Forage-SAFE: a model for assessing the impact of tree cover on wood pasture profitability. Ecological Modelling, 372: 24–32.
  10. de Jalón S.G., Graves A., Palma J.H.N., Williams A., Upson M., Burgess P.J. 2018. Modelling and valuing the environmental impacts of arable, forestry and agroforestry systems: a case study. Agroforestry Systems, 92(4): 1059-1073.
  11. Demertzi M., Paulo J.A., Faias S.P., Arroja L., Dias A.C. 2018. Evaluating the carbon footprint of the cork sector with a dynamic approach including biogenic carbon flows. International Journal of Life Cycle Assessment, 23(7): 1448-1459.
  12. Faias S.P., Paulo J.A., Palma J.H.N., Tomé M. 2018. Understory effect on tree and cork growth in cork oak woodlands. Forest Systems, 27(1).
  13. Guerra-Hernández J., Cozenza D.N., Rodriguez L.C.E., Silva M., Tomé M., Díaz-Varela R.A., González-Ferreiro E. 2018. Comparison of ALS- and UAV (SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations. International Journal of Remote Sensing, 39(15-16): 5211-5235.
  14. Häusler M., Nunes J.P., Soares P., Sánchez J.M., Silva J.M.N., Warneke T., Keizer J.J., Pereira J.M.C. 2018. Assessment of the indirect impact of wildfire (severity) on actual evapotranspiration in eucalyptus forest based on the surface energy balance estimated from remote-sensing techniques. International Journal of Remote Sensing, 39(20): 6499-6524.
  15. Kay S., Crous-Duran J., Ferreiro-Domínguez N., García de Jalón S., Graves A., Moreno G., Mosquera-Losada M.R., Palma J.H.N., Roces-Díaz J.V., Santiago-Freijanes J.J., Szerencsits E., Weibel R., Herzog F. 2018. Spatial similarities between European agroforestry systems and ecosystem services at the landscape scale. Agroforestry Systems, 92(4): 1075–1089.
  16. Kay S., Crous-Duran J., García de Jalón S., Palma J.H.N., Roces-Díaz J.V., Szerencsits E., Weibel R., Herzog F. 2018. Landscape-scale modelling of agroforestry ecosystems services in Swiss orchards: a methodological approach. Landscape Ecology, 33(9): 1633–1644.
  17. Marto M., Reynolds K.M., Borges J.G., Bushenkov V.A., Marques S. 2018.Combining decision support approaches for optimizing the selection of bundles of ecosystem services. Forests, 9(7): 438.
  18. Moreno G., Aviron S., Berg S., Crous-Duran J., Franca A., de Jalón S.G., Hartel T., Mirck J., Pantera A., Palma J.H.N., Paulo J.A., Re G.A., Sanna F., Thenail C., Varga A., Viaud V., Burgess P.J. 2018. Agroforestry systems of high nature and cultural value in Europe: provision of commercial goods and other ecosystem services. Agroforestry Systems, 92(4): 877–891.
  19. Mosquera-Losada M.R., Santiago-Freijanes J.J., Pisanelli A., Rois-Diaz M., Smith J., den Herder M., Moreno G., Ferreiro-Dominguez N., Malignier N., Lamersdorf N., Balaguer F., Pantera A., Rigueiro-Rodriguez A., Aldrey J.A., Gonzalez-Hernandez M.P., Fernandez-Lorenzo J.L., Romero-Franco R., Burgess P.J. 2018. Agroforestry in the European common agricultural policy. Agroforestry Systems, 92(4): 1117-1127.
  20. Mosquera-Losada M.R., Santiago-Freijanes J.J., Rois-Diaz M., Moreno G., den Herder M., Aldrey-Vazquez J.A., Ferreiro-Dominguez N., Pantera A., Pisanelli A., Rigueiro-Rodriguez A. 2018. Agroforestry in Europe: a land management policy tool to combat climate change. Land Use Policy, 78: 603-613.
  21. Palma J.H.N., Cardoso R.M., Soares P.M.M., Oliveira T.S., Tomé M. 2018. Using high-resolution simulated climate projections on forest process based modelling. Agricultural and Forest Meteorology, 263: 100-106.
  22. Palma J.H.N., Crous-Duran J., Graves A., García de Jálon S., Upson M., Oliveira T., Paulo J.A., Ferreiro-Dominguez N., Moreno G., Burgess P. 2018. Integrating belowground carbon dynamics into Yield-SAFE, a parameter sparse agroforestry model. Agroforestry Systems, 92 (4): 1047-1057.
  23. Pantera A., Burgess P.J., Losada R.M., Moreno G., Lopez-Diaz M.L., Corroyer N., McAdam J., Rosati A., Papadopoulos A.M., Graves A., Rodriguez A.R., Ferreiro-Dominguez N., Lorenzo J.L.F., Gonzalez-Hernandez M.P., Papanastasis V.P., Mantzanas K., Van Lerberghe P., Malignier N. 2018. Agroforestry for high value tree systems in Europe. Agroforestry Systems, 92(4): 945-959.
  24. Patricio M.S., Tomé M. 2018. Allometric equations for predicting mineralomass in high-forest chestnut stands in Portugal. Acta Horticulturae, 1220: 125-132.
  25. Pimentel C.S., Ayres M.P. 2018. Latitudinal patterns in temperature-dependent growth rates of a forest pathogen. Journal of Thermal Biology, 72: 39-43.
  26. Rigueiro-Rodríguez A., Amador-García A., Ferreiro-Domínguez N., Muñoz-Ferreiro N., Santiago-Freijanes J.J., Mosquera-Losada M.R. 2018. Proposing policy changes for sewage sludge applications based on zinc within a circular economy perspective. Land Use Policy, 76: 839-846.
  27. Rois-Díaz M., Lovrić N., Lovrić M., Ferreiro-Domínguez N., Mosquera-Losada M.R., den Herder M., Graves A., Palma J.H.N., Paulo J.A., Pisanelli A., Smith J., Moreno G., García S., Varga A., Pantera A., Mirck J., Burgess P. 2018. Farmers' reasoning behind the uptake of agroforestry practices: evidence from multiple case-studies across Europe. Agroforesty Systems, 92(4): 811-828.
  28. Rosa R., Soares P., Tomé M. 2018. Evaluating the economic potential of uneven-aged maritime pine forests. Ecological Economics, 143: 210–217.
  29. Sanqueta C.R., Dalla Corte A.P., Pelissari A.L., Tomé M., Maas G.C.B., Sanquetta M.N.I. 2018. Dynamics of carbon and CO2 removals by Brazilian forest plantations during 1990–2016. Carbon Balance and Management, 13(1): 20.
  30. Santiago-Freijanes J.J., Pisanelli A., Rois-Diaz M., Aldrey-Vazquez J.A., Rigueiro-Rodriguez A., Pantera A., Vityi A., Lojka B., Ferreiro-Dominguez N., Mosquera-Losada M.R. 2018. Agroforestry development in Europe: policy issues. Land Use Policy, 76: 144-156.
  31. Schelhaas M.J., Hengeveld G.M., Heidema N., Thürig E., Rohner B., Vacchiano G., Vayreda J., Redmond J., Socha J., Fridman J., Tomter S., Polley H., Barreiro S., Nabuurs G.J. 2018. Species-specific, pan-European diameter increment models based on data of 2.3 million trees. Forest Ecosystems, 5:21.
  32. Téo S.J., Machado S.A., Filho A.F., Tomé M. 2018. Stem Taper Equation with extensive applicability to several age classes of Pinus taeda L. Floresta, 48(4): 471- 482.
  • 2017 - 22 articles
  1. Borges J.G., Marques S., Garcia-Gonzalo J., Rahman A.U., Bushenkov V.A., Sottomayor M., Carvalho P.O., Nordström E.-M. 2017. A multiple criteria approach for negotiating ecosystem services supply targets and forest owners’ programs. Forest Science, 63: 49–61.
  2. Botequim B., Arias-Rodil M., Garcia-Gonzalo J., Silva A., Marques S., Borges J.G., Oliveira M.M., Tomé M. 2017. Modelling post-fire mortality in pure and mixed forest stands in Portugal - A forest planning-oriented model. Sustainability, 9(3): 390.
  3. Botequim B., Fernandes P.M., Garcia-Gonzalo J., Silva A., Borges J.G. 2017. Coupling fire behaviour modelling and stand characteristics to assess and mitigate fire hazard in a maritime pine landscape in Portugal. European Journal of Forest Research, 136(3): 527-542.
  4. Cosenza D.N., Soares A.A.V., de Alcantara A.E.M., da Silva A.A.L., Rode R., Soares V.P., Leite H.G. 2017. Site classification for eucalypt stands using artificial neural network based on environmental and management features. CERNE, 23(3): 310-320.
  5. Demertzi M., Sierra-Pérez J., Paulo J.A., Arroja L., Dias A.C. 2017. Environmental performance of expanded cork slab and granules through life cycle assessment. Journal of Cleaner Production, 145: 294–302.
  6. den Herder M., Moreno G., Mosquera-Losada R., Palma J.H.N, Sidiropoulou A., Freijanes J.J.S., Crous-Duran J., Paulo J.A., Tomé M., Pantera A., Papanastasis V.P., Mantzanas K., Pachana P., Papadopoulos A., Plieninger T., Burgess P.J. 2017. Current extent and stratification of agroforestry in the European Union. Agriculture, Ecosystems and Environment, 241: 121–132.
  7. Firmino P.N., Calvão T., Ayres M.P., Pimentel C.S. 2017. Monochamus galloprovincialis and Bursaphelenchus xylophilus life history in an area severely affected by pine wilt disease: implications for forest management. Forest Ecology and Management, 389: 105-115.
  8. Gonzalez-Olabarria J.R., Garcia-Gonzalo J., Mola-Yudego B., Pukkala T. 2017. Adaptive management rules for Pinus nigra Arnold ssp salzmannii stands under risk of fire. Annals of Forest Science, 74(3): 52.
  9. Guerra-Hernández J., González-Ferreiro E., Monleón V. J., Faias S.P., Tomé M., Díaz-Varela R. A. 2017. Use of Multi-Temporal UAV-Derived Imagery for estimating individual tree growth in Pinus pinea stands. Forests, 8(8): 300.
  10. Marques S., Marto M., Bushenkov V.A., McDill M.E., Borges J.G. 2017. Addressing wildfire risk in forest management planning with multiple criteria decision making methods. Sustainability, 9(2): 298.
  11. Oliveira T.S., Tomé M. 2017. Improving biomass estimation for Eucalyptus globulus Labill at stand level in Portugal. Biomass and Bioenergy, 96(C):103-111.
  12. Orazio C., Montoya R., Régolini M., Borges J.G., Garcia-Gonzalo J., Barreiro S., Botequim B., Marques S., Sedmák R., Smreček R., Brodrechtová Y., Brukas V., Chirici G., Marchetti M., Moshammer R., Biber P., Corrigan E., Eriksson L. O., Favero M., Galev E., Geerten E., Hengeveld M., Kavaliauskas M., Mozgeris G., Navrátil R., Nieuwenhuis M., Paligorov I., Pettenella D., Stanislovaitis A., Tomé M., Trubins R., Tuček J., Vizzarri M., Wallin I., Pretzsch H., Sallnäs O. 2017. Decision support tools and strategies to simulate forest landscape evolutions integrating forest owner behavior: a review from the case studies of the European Project, INTEGRAL. Sustainability, 9(4): 599.
  13. Palma J.H.N. 2017. CliPick – Climate change web picker. A tool bridging daily climate needs in process based modelling in forestry and agriculture. Forest Systems, 26(1): eRC01.
  14. Paulo J.A., Pereira H., Tomé M. 2017. Analysis of variables influencing tree cork caliper in two consecutive cork extractions using cork growth index modelling. Agroforestry Systems, 91(2): 221–237.
  15. Paulo J.A., Tomé M. 2017. Does debarking intensity in the first cork extraction affect future cork thickness? Annals of Forest Science, 74: 66.
  16. Paulo J.A., Tomé M. 2017. Using the SUBER model for assessing the impact of cork debarking rotation on equivalent annual annuity in Portuguese stands. Forest Systems, 26(1): e008.
  17. Pimentel C.S., Ferreira C., Santos M., Calvão T. 2017. Spatial patterns at host and forest stand scale and population regulation of the pine processionary moth Thaumetopoea pityocampa. Agricultural and Forest Entomology, 19(2):200–209.
  18. Pimentel C.S., Firmino P.N., Calvão T., Ayres M.P., Miranda I., Pereira H. 2017. Pinewood nematode population growth in relation to pine phloem chemical composition. Plant Pathology, 66(5): 856–864.
  19. Pimentel C.S., Gonçalves E.V., Firmino P.N., Calvão T., Fonseca L., Abrantes I., Correia O., Máguas C. 2017. Differences in constitutive and inducible defences in pine species determining susceptibility to pinewood nematode. Plant Pathology, 66: 131–139.
  20. Reyer C., Bathgate S., Blennow K., Borges J.G., Bugmann H., Delzon S., Faias S.P., Garcia-Gonzalo J., Gardiner B., Gonzalez-Olabarria J.R., Gracia C., Guerra J., Kellomäki S., Kramer K., Lexer M.J., Lindner M., van der Maaten E., Maroschek M., Muys B., Nicoll B., Palahi M., Palma J.H.N., Paulo J.A., Peltola H., Pukkala T., Rammer W., Ray D., Sabaté S., Schelhaas M., Seidl R., Temperli C., Tomé M., Yousefpour R., Zimmermann N.E., Hanewinkel M. 2017. Are forest disturbances amplifying or canceling out climate change-induced productivity changes in European forests? Environmental Research Letters, 12(3).
  21. Ribeiro A., Carlos A., Filho A.C.F., Tomé M., Scolforo J.R.S. 2016. Site quality curves for African mahogany plantations in Brazil. Cerne , 22(4): 439-448.
  22. Yousefpour R., Temperli C., Jacobsen J.B., Thorsen B.J., Meilby H., Lexer M.J., Lindner M., Bugmann H., Borges J.G., Palma J.H.N., Ray D., Zimmermann N.E., Delzon S., Kremer A., Kramer K., Reyer C.P.O., Lasch-Born P., Garcia-Gonzalo J., Hanewinkel M. 2017. A framework for modeling adaptive forest management and decision making under climate change. Ecology and Society, 22(4):40.
  • 2016 - 21 articles
  1. Alberdi I., Michalak R., Fisher C., Gasparini P., Brändli U-B., Tomter S., Kuliesis A., Snorrason A., Redmond J., Hernández L., Lanz A., Vidondo B., Stoyanov N., Stoyanova M., Vestman M., Barreiro S., Marin G., Cañellas I., Vidal C. 2016. Towards harmonized assessment of European forest availability for wood supply in Europe. Forest Policy and Economics, 70:20–29.
  2. Barreiro S., Rua J., Tomé M. 2016. StandsSIM-MD: a management driven forest SIMulator. Forest Systems, 25(2): eRC07.
  3. Barreiro S., Schelhaas M.J., Kaendler G., Antón-Fernández C., Colin A., Bontemps J.-D., Alberdi I., Cóndes S., Dumitru M., Ferezliev A., Fisher C., Gasparini P., Gschwantner T., Kindermann G., Kjartansson B., Kovácsevics P., Kucera M., Lundström A., Marin G., Mozgeris G., Nord-Larsen T., Packalen T., Redmond J., Sacchelli S., Sims A., Snorrason A., Stoyanov N., Thürig E., Wikberg P.-E. 2016. Overview of methods and tools for evaluating future woody biomass availability in European countries. Annals of Forest Science, 73: 823.
  4. Demertzi M., Paulo J.A., Arroja L., Dias A.C. 2016. A carbon footprint simulation model for the cork oak sector. Science of the Total Environment, 566–567:499–511.
  5. Ferraz A., Saatchi S., Mallet C., Jacquemoud S., Gonçalves G., Silva C.A., Soares P., Tomé M., Pereira L. 2016. Airborne Lidar estimation of aboveground forest biomass in the absence of field inventory. Remote Sensing, 8(8): 653.
  6. Ferreira L., Constantino M., Borges J.G., Garcia-Gonzalo J., Barreiro S. 2016. A climate change adaptive dynamic programming approach to optimize eucalypt stand management scheduling. A Portuguese application. Canadian Journal of Forest Research, 46(8): 1000-1008.
  7. Garcia-Gonzalo J., Pais C., Bachmatiuk J., Weintraub A. 2016. Accounting for climate change in a forest planning stochastic optimization model. Canadian Journal of Forest Research, 46(9): 1111-1121.
  8. Guerra-Hernandez J., González-Ferreiro E., Sarmento A., Silva J., Nunes A., Correia A., Fontes L., Tomé M., Díaz-Varela R. 2016. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal. Forest Systems, 25(2): eSC09.
  9. Guerra-Hernández J., Görgens E., García Gutiérrez J., Rodriguez, L.C.E., Tomé M., González-Ferreiro E. 2016. Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest. European Journal of Remote Sensing, 49: 185-204.
  10. Guerra-Hernández J., Tomé M., Gonzalez-Ferreiro E. 2016. Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis. Revista de Teledetección, 46: 103-117.
  11. Mantau U., Gschwantner T., Paletto A., Mayr M.L., Blanke C., Strukova E., Avdagic A., Camin P., Thivolle-Cazat A., Döring P., Petrauskas E., Englert H., Schadauer K., Barreiro S., Lanz A., Vidal C. 2016. From inventory to consumer biomass availability - the ITOC model. Annals of Forest Science, 73: 885.
  12. Martín A., Botequim B., Oliveira T.M., Ager A., Pirotti F. 2016. Temporal optimisation of fuel treatment design in blue gum (Eucalyptus globulus) plantations. Forest Systems, 25(2):eRC09.
  13. Nunes A., Pereira H., Tomé M., Silva J., Fontes L. 2016. Tomography as a method to study umbrella pine (Pinus pinea) cones and nuts. Forest Systems, 25(2):eSC09.
  14. Palma A., Pereira J.M., Soares P. 2016. Resin tapping activity as a contribution to the management of maritime pine forest. Forest Systems, 25(2): eSC11.
  15. Pastorella F., Borges J.G., De Meo I. 2016. Usefulness and perceived usefulness of Decision Support Systems (DSSs) in participatory forest planning: the final users’ point of view. iForest - Biogeosciences and Forestry, 9:422-429.
  16. Paulo J.A., Faias S.P., Ventura-Giroux C., Tomé M. 2016. Estimation of stand crown cover using a generalized crown diameter model: application for the analysis of Portuguese cork oak stands stocking evolution. iForest - Biogeosciences and Forestry, 9: 437-444.
  17. Ribeiro A., Carlos A., Filho A.C.F., Tomé M., Scolforo J.R.S. 2016. Site quality curves for African mahogany plantations in Brazil. Cerne, 22(4): 439-448.
  18. Río M., Pretzsch H., Alberdi I., Bielak K., Bravo F., Brunner A., Condés S., Ducey M.J., Fonseca T., von Lüpke N., Pach M., Peric S., Perot T., Souidi Z., Spathelf P., Sterba H., Tijardovic M., Tomé M., Vallet P., Bravo-Oviedo A. 2016. Characterization of the structure, dynamics, and productivity of mixed-species stands: review and perspectives. European Journal of Forest Research, 135(1): 23–49.
  19. Soares P., Pina J.P., Oliveira N., Tomé M. 2016. The cultural landscape of Sintra, A UNESCO World Heritage Site - The balance between forest restoration and carbon stock. Urban Forestry & Urban Greening, 20: 358–364.
  20. Vaugoyeau M., Adriaensen F., Artemyev A., Banbura J., Barba E., Biard C.,...Pimentel C.S.,…,Møller A.A.,Vaugoyeau M., Adriaensen F., Artemyev A., Banbura J., Barba E., Biard C.,...Pimentel C.S.,…,Møller A.A.et al. 2016. Interspecific variation in the relationship between clutch size, laying date and intensity of urbanisation in four species of hole-nesting birds. Ecology and Evolution, 6(16): 5907-5920.
  21. Zubizarreta-Gerendiain A., Garcia-Gonzalo J., Strandman H., Jylhä K., Peltola H. 2016. Regional effects of alternative climate change and management scenarios on timber production, economic profitability and carbon stocks in Norway spruce forests in Finland. Canadian Journal of Forest Research, 46(2):274-283.
  • 2015 - 14 articles
  1. Bachmatiuk J., Garcia-Gonzalo J., Borges J.G. 2015. Analysis of the performance of different implementations of a heuristic method to optimise forest harvest scheduling. Silva Fennica, 49 (4): 1326.
  2. Biber P., Borges J.G., Moshammer R., Barreiro S., Botequim B., BrodrechtováY., Brukas V., Chirici G., Cordero-Debets R., Corrigan E., Ola Eriksson L., Favero M., Galev E., Garcia- Gonzalo J., Hengeveld G., Kavaliauskas M., Marchetti M., Marques S., Mozgeris G., Navrátil R., Nieuwenhuis M., Orazio C., Paligorov I., Pettenella D., Sedmák R., Smrecek R., Stanislovaitis A., Tomé M., Trubins R., Tucek J., Vizzarri M., Wallin I., Pretzsc H., Sallnäs O. 2015. How sensitive are ecosystem services in european forest landscapes to silvicultural treatment? Forests, 6(5):1666-1695.
  3. Botequim B., Zubizarreta-Gerendiain A., Garcia-Gonzalo J., Silva A., Marques S., Fernandes P.M., Pereira J.M.C., Tomé M. 2015. A model of shrub biomass accumulation as a tool to support management of Portuguese forests. iForest - Biogeosciences and Forestry, 8:114-125.
  4. Bouriaud L., Marzano M., Lexer M., Nichiforel L., Reyer C., Temperli C., Peltola H., Elkin C., Duduman G., Taylor P., Bathgate S., Borges J.G., Clerkx S., Garcia-Gonzalo J., Gracia C., Hengeveld G., Kellomaki S., Kostov G., Maroschek M., Muys B., Nabuurs G.J., Nicoll B., Palahi M., Rammer W., Ray D., Schelhaas M.J., Sing L., Tomé M., Zell J., Hanewinkel M. 2015. Institutional factors and opportunities for adapting European forest management to climate change. Regional Environmental Change, 15(8): 1595-1609.
  5. Ferraz A., Mallet C., Jacquemoud S., Gonçalves G.R., Tomé M., Soares P., Pereira L.G., Bretar F. 2015. Canopy density model: a new ALS-derived product to generate multi layer crown cover maps. IEEE Transactions on Geoscience and Remote Sensing, 53(12): 6776-6790.
  6. Ferreira L., Constantino M., Borges J.G., Garcia-Gonzalo J. 2015. Addressing wildfire risk in a landscape-level scheduling model. An application in Portugal. Forest Science, 61(2): 266-277.
  7. Garcia-Gonzalo J., Bushenkov V., McDill M., Borges J.G. 2015. A decision support system for assessing trade-offs between ecosystem management goals. An application in Portugal. Forests, 6(1): 65-87.
  8. Pacheco A.P., Claro J., Fernandes P.M., de Neufville R., Oliveira T.M., Borges J.G., Rodrigues J.C. 2015. Cohesive fire management within an uncertain environment: a review of risk handling and decision support systems. Forest Ecology and Management, 347: 1-17.
  9. Palma J.H.N., Paulo J.A., Faias S.P., Garcia-Gonzalo J., Borges J.G., Tomé M. 2015. Adaptive management and debarking schedule optimization of Quercus suber L. stands, under climate change. Case study in Chamusca, Portugal. Regional Environmental Change, 15:(8): 1569-1580.
  10. Paulo J.A., Faias S., Gomes A.A., Palma J.H.N., Tomé J., Tomé M. 2015. Predicting site index from climate and soil variables for cork oak (Quercus suber L.) stands in Portugal. New Forests, 46(2):293-307.
  11. Sereke F., Graves A.R., Dux D., Palma J.H.N., Herzog F. 2015. Innovative agroecosystem goods and services: key profitability drivers in Swiss agroforestry. Agronomy for Sustainable Development, 35(2): 759-770.
  12. Tuček J., Sedmák R., Majlingová A., Sedliak M., Marques S. 2015. Decision support systems in Slovak forestry planning: a systematic review. Forestry Journal Lesnícky Časopis Forestry Journal, 61: 19-30.
  13. Vacik H., Borges J.G., Garcia-Gonzalo J., Eriksson L-O. 2015. Decision support for the provision of ecosystem services under climate change: an editorial. Forests, 6(9): 3212-3217.
  14. Zubizarreta-Gerendiain A., Pukkala T., Kellomäki S., Garcia-Gonzalo J., Ikonen V. P., Peltola H., 2015. Effects of climate change on optimised stand management in the boreal forests of central Finland. European Journal of Forest Research, 134(2): 273-280.
  • 2014 - 16 articles
  1. Blennow K., Persson E., Lindner M., Faias S.P., Hanewinkel M. 2014. Forest owner motivations and attitudes towards supplying biomass for energy in Europe. Biomass and Bioenergy, 67: 223-230.
  2. Borges J.G., Garcia-Gonzalo J., Bushenkov V.A., McDill M. E., Marques S., Oliveira M.M. 2014. Addressing multi-criteria forest management with Pareto Frontier methods: an application in Portugal. Forest Science, 60: 63-72.
  3. Bravo-Oviedo A., Barreiro S., Strelcova K., Pretzsch H.2014. EuMIXFOR Introduction: integrating scientific knowledge in sustainable management of Mixed Forests. Forest Systems, 23(3): 515-517.
  4. Bravo-Oviedo A., Pretzsch H., Ammer C., Andenmatten E., Barbati A., Barreiro, S., Brang P., Bravo F., Coll L., Corona P., Ouden J. , Ducey M.J., Forrester David I., Giergiczny M., Jacobsen J.B., Lesinski J., Löf M., Mason B., Matovic B., Metslaid M., Morneau F., Motiejunaite J., O’Reilly C., Pach M., Ponette Q., del Rio M., Short I., Skovsgaard J.P., Soliño M., Spathelf P., Sterba H., Stojanovic D., Strelcova K., Svoboda M., Verheyen K., von Lüpke N., Zlatanov T. 2014. European Mixed Forests: definition and research perspectives.Forest Systems, 23(3): 518-533.
  5. Ferreira L., Constantino M., Borges J.G. 2014. A stochastic approach to optimize maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal. Annals of Operational Research, 219(1): 359-377.
  6. Garcia-Gonzalo J., Borges J.G., Palma J.H.N., Zuzibarreta-Gerendiain A. 2014. A decision support system for management planning of Eucalyptus plantations facing climate change. Annals of Forest Science, 71(2): 187-199.
  7. Garcia-Gonzalo J., Pukkala T., Borges J.G. 2014. Integrating fire risk in stand management scheduling. An application to maritime pine stands in Portugal. Annals of Operational Research, 219(1): 379-395.
  8. Gordon S.N, Flori A., Boerboom L., Lämås T., Eriksson L.O., Nieuwenhuis M., Garcia-Gonzalo J., Rodriguez L.C. 2013. Studying the use of forest management decision support systems: an initial synthesis of lessons learned from case studies compiled using a semantic wiki. Scandinavian Journal of Forest Research, 29(1): 44-55
  9. Møller A.P., Adriaensen F., Artemyev A., Banbura J., Barba E., Biard C.,...Pimentel C.S., Lambrechts M.M. (82 authors). 2014. Variation in clutch size in relation to nest size in birds. Ecology and Evolution, 4: 3583-3595.
  10. Møller A.P., Adriaensen F., Artemyev A., Bańbura J., Barba E., Biard C.,...Pimentel C.S., Lambrechts M.M. (86 authors). 2014. Clutch size variation in Western Palearctic secondary hole nesting passerine birds in relation to nest box design. Methods in Ecology and Evolution, 5: 353-362.
  11. Nabuurs G.J., Schelhaas M.J., Orazio C., Hengeveld G., Tomé M., Farrell E.P. 2014. European perspective on the development of planted forests, including projections to 2065. New Zealand Journal of Forestry Science, 44(1):S8.
  12. Palma J.H.N., Paulo J.A., Tomé M. 2014. Carbon sequestration of modern Quercus suber L. silvoarable agroforestry systems in Portugal: a YieldSAFE-based estimation. Agroforestry Systems, 88(5): 791-801.
  13. Pimentel C.S., Ayres M.P., Vallery E., Young C., Streett D.A. 2014. Geographical variation in seasonality and life history of pine sawyer beetles Monochamus spp: its relation with phoresy by the pinewood nematode Bursaphelenchus xylophilus. Agricultural and Forest Entomology, 16: 196-206.
  14. Raftoyannis Y., Nocentini S., Marchi E., Calama Sainz R., Garcia Guemes C., Pilas I., Peric S., Amaral Paulo J., Moreira-Marcelino A.C., Costa-Ferreira M., Kakouris E., Lindner M. 2014. Perceptions of forest experts on climate change and fire management in European Mediterranean forests. iForest, 7: 33-41.
  15. Rammer W., Schauflinger C., Vacik H., Palma J.H.N., Garcia-Gonzalo J., Borges J.G., Lexer M.J. 2013. A web-based ToolBox approach to support adaptive forest management under climate change. Scandinavian Journal of Forest Research, 29(1): 96-107.
  16. Yao R.T., Scarpa R., Turner J.A., Barnard T.D., Rose J.M., Palma J.H.N., Harrison D.R. 2014. Valuing biodiversity enhancement in New Zealand's planted forests: socioeconomic and spatial determinants of willingness-to-pay. Ecological Economics,98: 90-101.
  • 2013 - 10 articles
  1. Alegria C., Tomé M. 2013. A tree distance-dependent growth and yield model for naturally regenerated pure uneven-aged maritime pine stands in central inland of Portugal. Annals of Forest Science, 70(3): 261-276.
  2. Borges J.G., Eriksson L.O., Rodriguez L.C., Garcia-Gonzalo J. 2013. Forest management decision support systems (FORSYS): Special issue preface. Forest Systems, 22(2): 261-261.
  3. Botequim B., Garcia-Gonzalo J., Marques S., Ricardo A., Borges J. G., Oliveira M. M., Tomé J., Tomé M., 2013. Developing wildfire risk probability models for Eucalyptus globulus stands in Portugal. iForest - Biogeosciences and Forestry, 6: 217-227.
  4. Carneiro M., Ferreira M., Fabião A., Hilário L., Lousã M., Tomé J., Madeira M. 2013. Does slash management in Eucalyptus globulus Labill. plantation influence the potential seed germination and early growth of understory species? Forest Science, 59(4): 494-503.
  5. Garcia-Gonzalo J., Palma J., Freire J., Tomé M., Mateus R., Rodríguez L. C., Bushenkov V., Borges J. G. 2013. A decision support system for a multi stakeholder’s decision process in a Portuguese national forest. Foresty Systems, 22(2): 359-373.
  6. Marques A.F., Borges J.G., Garcia-Gonzalo J., Lucas B., Melo I. 2013. A participatory approach to design a toolbox to support forest management planning at regional level. Forest Systems, 22(2): 340-358.
  7. Minunno F., van Oijen M., Cameron D.R., Cerasoli S., Pereira J.S., Tomé M. 2013. Using a Bayesian framework and global sensitivity analysis to identify strengths and weaknesses of two process-based models differing in representation of autotrophic respiration. Environmental Modelling & Software, 42: 99-115.
  8. Pasalodos-Tato M., Makinen A., Garcia-Gonzalo J., Borges J.G., Lämas T., Eriksson L.O. 2013. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches. Forest Systems, 22(2): 282-303.
  9. Sghaier T., Tomé M., Tomé J., Sanchez-Gonzalez M. 2013. Distance-independent individual tree diameter-increment model for thuya [Tetraclinis articulata (VAHL.) MAST.] stands in Tunisia. Forest Systems, 22(3): 433-441.
  10. Vega-Nieva D., Tomé M., Tomé J., Fontes L., Soares P., Ortiz L., Basurco F., Rodríguez-Soalleiro R. 2013. Developing a general method for the estimation of the fertility rating parameter of the 3-PG model: application in Eucalyptus globulus plantations in NW Spain. Canadian Journal of Forest Research, 43(7): 627-636.
  • 2012 - 16 articles
  1. Ayari A., Zubizarreta-Gerendian A., Tomé M., Tomé J., Garchi S., Henchi B. 2012. Stand, tree and crown variables affecting cone crop and seed yield of Aleppo pine forests in different bioclimatic regions of Tunisia. Forest Systems, 21(1): 128-140.
  2. Barreiro S., Tomé M. 2012. Analysis of the impact of the use of eucalyptus biomass for energy on wood availability for eucalyptus forest in Portugal. A simulation study. Ecology and Society, 17(2): 14.
  3. Blennow K., Persson J., Tomé M.,Hanewinkel M. 2012. Climate change: believing and seeing implies adapting. PLoS ONE,7(11): e50182.
  4. Coelho M.B., Paulo J.A., Palma J., Tomé M. 2012. Contribution of cork oak plantations installed after 1990 in Portugal to the Kyoto commitments and to the landowners economy. Forest Policy and Economics, 17: 59-68.
  5. Duncker P., Barreiro S., Hengeveld G.M.,Lind T., Mason W.L., Ambrozy S., Spiecker H. 2012. Classification of forest management approaches: a new conceptual framework and its applicability to European forestry. Ecology and Society,17(4): 51.
  6. Dunger K., Petersson H., Barreiro S.,Cienciala E., Colin A., Hylen G., Kusar G., Oehmichen K., Tomppo E.,Tuomainen T. 2012. Harmonizing greenhouse gas reporting from European forests: Case examples and implications for European Union level reporting. Forest Science, 58(3): 248-256.
  7. Faias S.P., Palma J.H.N., Barreiro S.,Paulo J.A., Tomé M. 2012. sIMfLOR – Platform for the Portuguese forest simulators. Forest Systems,21 (3): 543-548.
  8. Ferraz A., Bretar F., Jacquemoud S., Gonçalves G., Pereira L., Tomé M., Soares P. 2012. 3-D mapping of a multi-layered Mediterranean forest using ALS data. Remote Sensing of Environment, 121: 210-223.
  9. Ferreira L., Constantino M., Borges J.G., Garcia-Gonzalo J. 2012. A stochastic dynamic programming approach to optimize short-rotation coppice systems management scheduling. An application to eucalypt plantations under wildfire risk in Portugal. Forest Science, 58(4): 353-365.
  10. Garcia-Gonzalo J., Zubizarreta-Gerendiain A., Ricardo A., Marques S., Botequim B., Borges J. G., Oliveira M.M., Tomé M., Pereira J.M.C. 2012. Modelling wildfire risk in pure and mixed forest stands in Portugal. Allgemeine Forst und Jagdzeitung (AFJZ) – German Journal of Forest Research, 183 (11/12): 238-248.
  11. Mäkelä A., del Río M.,Hynynen J., Hawkins M.J., Reyer C., Soares P., van Oijen M., ToméM. 2012. Using stand-scale forest models for estimating indicators of sustainable forest management. Forest Ecology and Management, 285: 164-178.
  12. Marques S., Garcia-Gonzalo J., Botequim B., Ricardo A., Borges J.G., Tomé M., Oliveira M.M. 2012. Assessing wildfire risk probability in Pinus pinaster Ait. stands in Portugal. Forest Systems, 21(1): 111-120.
  13. Pimentel C., Santos M., Ferreira C., Nilsson J.-Å. 2012. Temperature, size, reproductive allocation, and life-history evolution in a gregarious caterpillar. Biological Journal of the Linnean Society, 105: 340-349.
  14. Reis A.R., Araújo C., Ferreira L., Tomé M., Branco M. 2012. Efficiency of biological control of Gonipterus platensis (Coleoptera: Curculionidae) by Anaphes nitens (Hymenoptera: Mymaridae) in cold areas of the Iberian Peninsula: implications for defoliation and wood production in Eucalyptus globulus. Forest Ecology and Management, 270: 216-222.
  15. Soares P., Tomé M. 2012. Biomass expansion factors for Eucalyptus globulus stands in Portugal. Forest Systems, 21(1): 141-152.
  16. Zubizarreta-Gerendiain A., Pellikka P., Garcia-Gonzalo J., Ikonen V.P., Peltola H. 2012. Factors affecting wind and snow damage of individual trees in a small management unit in Finland: assessment based on inventoried damage and mechanistic modelling. Silva Fennica, 46 (2): 181-196.
  • 2011 - 18 articles
  1. Alegria C., Tomé M. 2011. A set of models for individual tree merchantable volume prediction for Pinus pinaster Aiton in central inland of Portugal. European Journal of Forest Research, 130(5): 871-879.
  2. Barreiro S., Tomé M. 2011. SIMPLOT: Simulating the impacts of fire severity on sustainability of eucalyptus forests in Portugal. Ecological Indicators, 11(1): 36-45.
  3. Calama R., Mutke S., Tomé J., Gordo J., Montero G., Tomé M. 2011. Modelling spatial and temporal variability in a zero-inflated variable: the case of stone pine (Pinus pinea L.) cone production. Ecological Modelling, 222(3): 606-618.
  4. Garcia-Gonzalo J., Marques S., Borges J.G., Botequim B., Oliveira M.M., Tomé J., Tomé M. 2011. A three-step approach to post-fire mortality modelling in maritime pine (Pinus pinaster Ait.) stands for enhanced forest planning in Portugal. Forestry, 84(2): 197-206.
  5. Gort J., Mehtätalo L., Peltola H., Zubizarreta-Gerendiain A., Pulkkinen P., Venäläinen A. 2011. Effects of spacing and genetic entry on radial growth and ring density development in Scots pine (Pinus sylvestris L.). Annals of Forest Science, 68(7): 1233-1243.
  6. Graves A.R., Burgess P.J., Liagre F., Terreaux J.P., Borrel T., Dupraz C., Palma J., Herzog F. 2011. Farm-SAFE: the process of developing a plot- and farm-scale model of arable, forestry, and silvoarable economics. Agroforestry Systems, 81(2): 93-108.
  7. Keesman K., Graves A., van der Werf W., Burgess P., Palma J., Dupraz C., van Keulen H. 2011. A system identification approach for developing and parameterising an agroforestry system model under constrained availability of data. Environmental Modelling and Software, 26(12): 1540-1553.
  8. Madureira L., Nunes L.C., Borges J.G., Falcão A.O. 2011. Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: a Portuguese case study. Journal of Forest Economics, 17: 335-432.
  9. Marques A., Borges J.G., Sousa P., Pinho A.M. 2011. An enterprise architecture approach to forest management support systems design: an application to pulpwood supply management in Portugal.  European Journal of Forest Research, 130(6): 935-948.
  10. Marques S., Borges J.G., Garcia-Gonzalo J., Moreira F., Carreiras J.M.B., Oliveira M.M.,Cantarinha A., Botequim B., Pereira J.M.C. 2011. Characterization of wildfires in Portugal. European Journal of Forest Research, 130(5):775-784.
  11. Marques S., Garcia-Gonzalo J., Borges J.G., Botequim B., Oliveira M.M., Tomé J., Tomé M. 2011. Developing post-fire Eucalyptus globulus stand damage and tree mortality models for enhanced forest planning in Portugal. Silva Fennica, 45(1): 69-83.
  12. Mateus A., Tomé M. 2011. Modelling the diameter distribution of eucalyptus plantations with Johnson's S-B probability density function: parameters recovery from a compatible system of equations to predict stand variables. Annals of Forest Science, 68(2): 325-335.
  13. Nunes L., Patrício M., Tomé J., Tomé M. 2011. Modeling dominant height growth of maritime pine in Portugal using GADA methodology with parameters depending on soil and climate variables. Annals of Forest Science, 68(2): 311-323.
  14. Nunes L., Tomé J., Tomé M. 2011. Prediction of annual tree growth and survival for thinned and unthinned even-aged maritime pine stands in Portugal from data with different time measurement intervals. Forest Ecology Management, 262(8): 1491-1499.
  15. Paulo J.A., Tomé J., Tomé M. 2011. Nonlinear fixed and random generalized height-diameter models for Portuguese cork oak stands. Annals of Forest Science, 68(2): 295-309.
  16. Pimentel C., Calvão T., Ayres M.P. 2011. Impact of climatic variation on populations of pine processionary moth Thaumetopoea pityocampa in a core area of its distribution. Agricultural and Forest Entomology, 13(3): 273-281.
  17. Werhahn-Mees W., Palosuo T., Garcia-Gonzalo J., Röser D., Pausch R., Lindner M. 2011. Sustainability impact assessment of increasing resource use intensity in forest bioenergy production chains. Global Change Biology and Bioenergy, 3(2): 91-106.
  18. Wilson J.R.U., Gairifo C., Gibson M.R., Arianoutsou M., Bakar B.B., Baret S., Celesti-Grapow L., DiTomaso J.M., Dufour-Dror J., Kueffer C., Kull C.A., Hoffmann J.H., Impson F.A.C., Loope L.L., Marchante E., Marchante H., Moore J.L., Murphy D.J., Tassin J., Witt A., Zenni R.D., Richardson D.M. 2011. Risk assessment, eradication, and biological control: global efforts to limit Australian acacia invasions. Diversity and Distributions, 17(5): 1030-1046.
  • 2010 - 18 articles
  1. Almeida A.M., Tomé J., Tomé M. 2010. Development of a system to predict the evolution of individual tree mature cork caliber over time. Forest Ecology and Management, 260: 1303-1314.
  2. Almeida A.M., Tomé M. 2010. Field sampling of cork value before extraction in Portuguese ‘montados’. Agroforestry Systems, 79 (3): 419-430.
  3. Borges P.J., Fragoso R., Garcia-Gonzalo J., Borges J. G., Marques S., Lucas M.R. 2010. Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system. An application in Southern Portugal. Forest Policy and Economics, 12(2): 111-120.
  4. Bugmann H., Palahi M., Bontemps J.-D., Tomé M. 2010. Trends in modeling to address forest management and environmental challenges in Europe. Forest Systems, 19(SI): 3-7.
  5. Calama R., Tomé M., Sánchez-González M., Miina J., Spanos K., Palahi M. 2010. Modelling Non-Wood Forest Products in Europe: a review. Forest Systems, 19(SI): 69-85.
  6. Carrasquinho I., Freire J., Rodrigues A., Tomé M. 2010. Selection of Pinus pinea L. candidates to plus trees for cone production. Annals of Forest Science, 67(8): 814.
  7. Correia A.C., Pacheco C.A., Tomé M., Faias S., Dias A.C., Freire J., Carvalho P.O., Pereira J.S. 2010. Biomass allometry and carbon factors for a Mediterranean pine (Pinus pinea L.). Forest Systems, 19(3): 418-433.
  8. Costa A., Oliveira A.C., Vidas F., Borges J.G. 2010. An approach to cork oak forest management planning in Southwestern Portugal. European Journal of Forest Research, 129(2): 233-241.
  9. Crecente-Campo F., Soares P., Tomé M., Diéguez-Aranda. 2010. Modelling annual individual-tree growth and mortality of Scots pine with data obtained at irregular measurement intervals and containing missing observations. Forest Ecology and Management, 260(11): 1965-1974.
  10. Crecente-Campo F., Tomé M., Soares P., Diéguez-Aranda U. 2010. A generalized nonlinear mixed-effects height–diameter model for Eucalyptus globulus L. in northwestern Spain. Forest Ecology and Management, 259: 943-952.
  11. Fontes L., Bontemps J.-D., Bugmann H., Van Oijen M., Gracia C., Kramer K., Lindner M., Rötzer T., Skovsgaard J.P. 2010. Models for supporting forest management in a changing environment. Forest Systems, 19 (SI): 8-29.
  12. Graves A.R., Burgess P.J., Palma J.H.N., Keesman K., van der Werf W., Dupraz C., van Keulen H., Herzog F., Mayus M., Moreno G. 2010. Implementation and calibration of the parameter-sparse Yield-SAFE model to predict production and land equivalent ratio in mixed tree and crop systems under two contrasting production situations in Europe. Ecological Modelling, 221(13-14): 1744-1756.
  13. Hanewinkel M., Peltola H., Soares P., González-Olabarria J. R. 2010. Recent approaches to model the risk of storm and fire to European forests and their integration into simulation and decision support tools. Forest Systems, 19: 30-47.
  14. Nunes L., Patrício M., Tomé J., Tomé M. 2010. Carbon and nutrients stocks in even-aged maritime pine stands from Portugal. Forest Systems, 19(3): 434-448.
  15. Nunes L., Tomé J., Tomé M. 2010. A system for compatible prediction of total and merchantable volumes allowing for different definitions of tree volume. Canadian Journal of Forest Research, 40(4): 747-760.
  16. Paulo J.A., Tomé M. 2010. Predicting mature cork biomass with t years of growth from one measurement taken at any other age. Forest Ecology and Management, 259: 1993-2005.
  17. Pimentel C., Ferreira C., Nilsson J.-Å. 2010. Latitudinal gradients and the shaping of life-history traits in a gregarious caterpillar. Biological Journal of the Linnean Society, 100: 224-236.
  18. Zeng H., Peltola H.,Garcia-Gonzalo J., Kellomäki S. 2010. The effects of forest structure on the risk of wind damage in a boreal forest ecosystem. Annals of Forest Science, 67(1): 111.
  • 2009 - 2 articles
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  1. Pimentel C., Nilsson J.-Å., 2009. Responses of passerine birds to an irruption of a pine processionary moth Thaumetopoea pityocampa population with a shifted phenology. Ardeola, 56: 189-203.
  2. Tomé M., Farrell T. 2009. Special issue on selected results of the FORSEE Project Foreword. Annals of Forest Science, 66(3): 300.
  • 2008 - 2 articles
  1. Bravo-Oviedo A., Tomé M., Bravo F., Montero G., Del Rio M. 2008. Dominant height growth equations including site attributes in the generalized algebraic difference approach. Canadian Journal of Forest Research, 38: 2348-2358.
  2. Constantino M., Martins I., Borges J.G. 2008. A new mixed integer programming model for harvest scheduling subject to maximum area restrictions. Operations Research, 56: 542-551.
  • 2007 - 4 articles
  1. António N., Tomé M., Soares P., Tomé J., Fontes L. 2007. Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass. Canadian Journal of Forest Research, 37(5): 895-902.
  2. Martins H., Borges J.G. 2007. Addressing collaborative planning methods and tools in forest management. Forest Ecology and Management, 248: 107-118.
  3. Pimentel C., Nilsson J-Å., 2007. Response of great tits Parus major to an irruption of a pine processionary moth Thaumetopoea pityocampa population with a shifted life cycle. Ardea, 95: 191-199.
  4. Pimentel C., Nilsson J-Å, 2007. Breeding patterns of great tits Parus major) in pine forests along the Portuguese west coast. Journal of Ornithology, 148: 59-68.
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FCT - Fundação para a Ciência e a Tecnologia

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