Forest Modelling Lab.
Publications
2021
Rise and fall of vegetation primary production resilience to climate variability anticipated by a large ensemble of Earth System Models' simulations
Zampieri M., Grizzetti B., Toreti A., De Palma P., Collalti A.
EarthArXiv; https://doi.org10.31223/X5ZW36 - PDF - ResearchGate
Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events
D'Andrea E., Scartazza A., Battistelli A., Collalti A., Proietti S., Rezaie N., Matteucci G., Moscatello S.
Tree Physiology; https://doi.org/10.1093/treephys/tpab044 - PDF - ResearchGate
Tackling unresolved questions in forest ecology: the past and future role of simulations models
Maréchaux I., Langerwisch F., Huth A., Bugmann H., Morin X., Reyer C.P.O., Seidl R., Collalti A., Dantas de Paula M., Fischer R., Gutsch M., Lexer M.J., Lischke H., Rammig A., Rödig E., Sakschewski B., Tauber F., Thonicke K., Vacchiano G., Bohn F.J.
Ecology and Evolution; https://doi.org/10.1002/ece3.7391 - PDF - ResearchGate
Challenges and opportunities for enhancing food security and greenhouse gas mitigation in smallholder farming in sub-Saharan Africa. A review
Dong-Gill K., Grieco E., Bombelli A., Hickman J.E., Sanz-Cobena A.
Food security; https://doi.org/10.1007/s12571-021-01149-9 - PDF - ResearchGate
Growth and Allocation of Woody Biomass in Forest Trees Based on Environmental Conditions
Collalti A., Todaro L., Rita A.
Forests; https://doi.org/10.3390/f12020154 - PDF - ResearchGate
This is an Editorial belonging on the Forests Special Issue "Growth and Allocation of Woody Biomass in Forest Trees Based on Environmental Conditions"
Simulating the effects of thinning and species mixing on stands of oak (Quercus petrea (Matt.) Liebl. / Quercus robur L.) and pine (Pinus sylvestris L.) across Europe
Engel M., Vospernik S., Toigo M., Morin X., Tomao A., Trotta C., Steckel M., Barbati A., Nothdurft A. Pretzsch H., del Rio M., Skrzyszewski J., Ponette Q., Lof M., Jansons A., Brazaitis G.
Ecological Modelling; https://doi.org/10.1016/j.ecolmodel.2020.109406 - PDF - ResearchGate
Model-based Estimation of Amazonian Forests Recovery Time After Drought and Fire Events
Lopes de Faria B., Marano G., Piponiot C., Silva C.A., Dantas V.L., Rattis L., Rech A., Collalti A.
Forests; https://doi.org/10.3390/f12010008 - PDF - ResearchGate
2020
Forest production efficiency increases with growth temperature
A. Collalti, A. Ibrom, A. Stockmarr, A. Cescatti, R. Alkama, M. Fernández-Martínez, G. Matteucci, S. Sitch, P. Friedlingstein, P. Ciais, D.S. Goll, J.E.M.S. Nabel, J. Pongratz, A. Arneth, V. Haverd, I.C. Prentice
Nature Communications; https://doi.org/10.1038/s41467-020-19187-w - PDF - ResearchGate
See also blog post in Nature Ecology and Evolution and at Prentice Lab. wordpress page
Frost and drought: effects of extreme weather events on stem carbon dynamics in a Mediterranean beech forest
D'Andrea E., Rezaie N., Prislan P., Gričar J, Collalti A., Muhr J., Matteucci G.
Plant, Cell & Environment; https://doi.org/10.1002/PCE.13858 - PDF - ResearchGate
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Pastorello G., Trotta C., Canfora E., Chu H., Christianson D., Cheah Y.-W., Poindexter C., Chen J., Elbashandy A., Humphrey M., Isaac P., Polidori D., Ribeca A., van Ingen C., Zhang L., Amiro B., Ammann C., Arain M.A., Ardo J., Arkebauer T., Arndt S.K., Arriga N., Aubinet M., Aurela M., Baldocchi D., Barr A., Beamesderfer E., Marchesini L.B., Bergeron O., Beringer J., Bernhofer C., Berveiller D., Billesbach D., Black T.A., Blanken P.D., Bohrer G., Boike J., Bolstad P.V., Bonal D., Bonnefond J.-M., Bowling D.R., Bracho R., Brodeur J., Brummer C., Buchmann N., Burban B., Burns S.P., Buysse P., Cale P., Cavagna M., Cellier P., Chen S., Chini I., Christensen T.R., Cleverly J., Collalti A., Consalvo C., Cook B.D., Cook D., Coursolle C., Cremonese E., Curtis P.S., D'Andrea E., da Rocha H., Dai X., Davis K.J., De Cinti B., de Grandcourt A., De Ligne A., De Oliveira R.C., Delpierre N., Desai A.R., Di Bella C.M., di Tommasi P., Dolman H., Domingo F., Dong G., Dore S., Duce P., Dufrene E., Dunn A., Dusek J., Eamus D., Eichelmann U., ElKhidir H.A.M., Eugster W., Ewenz C.M., Ewers B., Famulari D., Fares S., Feigenwinter I., Feitz A., Fensholt R., Filippa G., Fischer M., Frank J., Galvagno M., Gharun M., Gianelle D., Gielen B., Gioli B., Gitelson A., Goded I., Goeckede M., Goldstein A.H., Gough C.M., Goulden M.L., Graf A., Griebel A., Gruening C., Grunwald T., Hammerle A., Han S., Han X., Hansen B.U., Hanson C., Hatakka J., He Y., Hehn M., Heinesch B., Hinko-Najera N., Hortnagl L., Hutley L., Ibrom A., Ikawa H., Jackowicz-Korczynski M., Janous D., Jans W., Jassal R., Jiang S., Kato T., Khomik M., Klatt J., Knohl A., Knox S., Kobayashi H., Koerber G., Kolle O., Kosugi Y., Kotani A., Kowalski A., Kruijt B., Kurbatova J., Kutsch W.L., Kwon H., Launiainen S., Laurila T., Law B., Leuning R., Li Y., Liddell M., Limousin J.-M., Lion M., Liska A.J., Lohila A., Lopez-Ballesteros A., Lopez-Blanco E., Loubet B., Loustau D., Lucas-Moffat A., Luers J., Ma S., Macfarlane C., Magliulo V., Maier R., Mammarella I., Manca G., Marcolla B., Margolis H.A., Marras S., Massman W., Mastepanov M., Matamala R., Matthes J.H., Mazzenga F., McCaughey H., McHugh I., McMillan A.M.S., Merbold L., Meyer W., Meyers T., Miller S.D., Minerbi S., Moderow U., Monson R.K., Montagnani L., Moore C.E., Moors E., Moreaux V., Moureaux C., Munger J.W., Nakai T., Neirynck J., Nesic Z., Nicolini G., Noormets A., Northwood M., Nosetto M., Nouvellon Y., Novick K., Oechel W., Olesen J.E., Ourcival J.-M., Papuga S.A., Parmentier F.-J., Paul-Limoges E., Pavelka M., Peichl M., Pendall E., Phillips R.P., Pilegaard K., Pirk N., Posse G., Powell T., Prasse H., Prober S.M., Rambal S., Rannik U., Raz-Yaseef N., Reed D., de Dios V.R., Restrepo-Coupe N., Reverter B.R., Roland M., Sabbatini S., Sachs T., Saleska S.R., Sanchez-Canete E.P., Sanchez-Mejia Z.M., Schmid H.P., Schmidt M., Schneider K., Schrader F., Schroder I., Scott R.L., Sedlak P., Serrano-Ortiz P., Shao C., Shi P., Shironya I., Siebicke L., Sigut L., Silberstein R., Sirca C., Spano D., Steinbrecher R., Stevens R.M., Sturtevant C., Suyker A., Tagesson T., Takanashi S., Tang Y., Tapper N., Thom J., Tiedemann F., Tomassucci M., Tuovinen J.-P., Urbanski S., Valentini R., van der Molen M., van Gorsel E., van Huissteden K., Varlagin A., Verfaillie J., Vesala T., Vincke C., Vitale D., Vygodskaya N., Walker J.P., Walter-Shea E., Wang H., Weber R., Westermann S., Wille C., Wofsy S., Wohlfahrt G., Wolf S., Woodgate W., Li Y., Zampedri R., Zhang J., Zhou G., Zona D., Agarwal D., Biraud S., Torn M., Papale D.
Scientific Data; https://doi.org/10.1038/s41597-020-0534-3 - PDF - ResearchGate
Reply to: Nutrient scarcity cannot cause mast seeding
Fernández-Martínez M., Sayol F., LaMontagne J.M., Bogdziewicz M., Collalti A., Hacket-Pain A., Vacchiano G., Espelta J.M., Peñuelas J., Janssens I.A.
Nature Plants; https://doi.org/10.1038/s41477-020-0703-6 - PDF - ResearchGate
The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests
Reyer C.P.O., Silveyra Gonzalez R., Dolos K., Hartig F., Hauf Y., Noack M., Lasch-Born P., Rötzer T., Pretzsch H., Meesenburg H., Fleck S., Wagner M., Bolte A., Sanders T.G.M., Kolari P., Mäkelä A., Vesala T., Mammarella I., Pumpanen J., Collalti A., Trotta C., Matteucci G., D'Andrea E., Foltýnová L., KreJza J., Ibrom A., Pilegaard K., Loustau D., Bonnefond J.-M., Berbigier P., Picart D., Lafont S., Dietze M., Cameron D., Vieno M., Tian H., Palacios-Orueta A., Cicundez V., Recuero L., Wiese K., Büchner M., Lange S., Volkholz J., Kim H., Horemans J. A., Bohn F., Steinkamp J., Chikalanov A., Weedon G.P., Sheffield J., Babst F., Vega del Valle I., Suckow F., Martel S., Mahnken M., Gutsch M., Frieler K.
Earth System Science Data; https://doi.org/10.5194/essd-12-1295-2020 - PDF - ResearchGate
“Models of tree and stand dynamics”: a differential journey through forest modelling
G. Marano, A. Collalti
iForest - Biogeosciences and Forestry; https://doi.org/10.10.3832/ifor0061-013 - PDF - ResearchGate
Small-Scale Forest Structure Influences Spatial Variability of Belowground Carbon Fluxes in a Mature Mediterranean Beech Forest
D'Andrea E., Guidolotti G., Scartazza A., De Angelis P., Matteucci G.
Forests; https://doi.org/10.3390/f11030255 - PDF - ResearchGate
Preface: Climate Change Impact on Plant Ecology
M. Vitale, A. Collalti
Climate; https://doi.org/10.3390/cli8050059 - PDF - ResearchGate
This is a Preface presenting the Climate Special Issue "Climate Change Impact on Plant Ecology"
Plant respiration: Controlled by photosynthesis or biomass?
Collalti A., Tjoelker M.G., Hoch G., Mäkelä A., Guidolotti G., Heskel M., Petit G., Ryan M.G., Battipaglia G., Matteucci G., Prentice I.C.
Global Change Biology; https://doi.org/10.1111/gcb.14857 - PDF - ResearchGate
See also post by CNR stampa J. 2020, cnr news
2019
A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale
Marano G., Langella G., Basile A., Cona F., De Michele C., Manna P., Teobaldelli M., Saracino A., Terribile F
Forests; https://doi.org/10.3390/f10080690 - PDF - ResearchGate
Forest carbon allocation modelling under climate change
Merganičová K., Merganič J., Lehtonen A., Vacchiano G., Ostrogović Sever M.Z., Augustynczik A.L.D., Grote R., Kyselová I., Mäkelä A., Yousefpour R., Krejza J., Collalti A., Reyer C.P.O.
Tree Physiology; https://doi.org/10.1093/treephys/tpz105 - PDF - ResearchGate
Winter's bite: beech trees survive complete defoliation due to spring-late damage by mobilizing old C reserves
D'Andrea E., Rezaie N., Battistelli A., Gavrichkova O., Kuhlmann, Matteucci G., Moscatello S., Proietti S., Scartazza A., Trumbore S., Muhr J.
New Phytologist; https://doi.org/10.1111/nph.16047 - PDF - ResearchGate
Global Variability of Simulated and Observed Vegetation Growing Season
Peano D., Materia S., Collalti A., Alessandri A., Anav A., Bombelli A., Gualdi S.
Journal of Geophysical Research - Biogeosciences; https://doi.org/10.1029/2018JG004881 - PDF - ResearchGate
Is NPP proportional to GPP? Waring's hypothesis twenty years on
Collalti A. and Prentice I.C.
Tree Physiology; https://doi.org/10.1093/treephys/tpz034 - PDF - ResearchGate
See also review D. Baldocchi, F1000 Recommendation
See also review by J. Stinziano, Botany One
See also commentary by Landsberg et al. 2020, Tree Physiology
Nutrient scarcity as a selective pressure for mast seeding
Fernández-Martínez M., Pearse I., Sardans J., Sayol F., Keonig W.D., LaMontagne J.M., Bogdziewicz M., Collalti A., Hacket-Pain A., Vacchiano G., Espelta J.M., Peñuelas J., Janssens I.A.
Nature Plants; https://doi.org/10.1038/s41477-019-0549-y - PDF - ResearchGate
The sensitivity of the forest carbon budget shifts across processes along with stand development and climate change
Collalti A., Thornton P.E., Cescatti A., Rita A., Borghetti M., Nolé A., Trotta C., Ciais P., Matteucci G.
Ecological Applications; https://doi.org/10.1002/eap.1837 - PDF - ResearchGate
2018
Thinning can reduce losses in carbon use efficiency and carbon stocks in managed forests under warmer climate
Collalti A., Trotta C., Keenan T.F., Ibrom A., Bond-Lamberty B., Grote R., Vicca S., Reyer C.P.O., Migliavacca M., Veroustraete F., Anav A., Campioli M., Scoccimarro E., Sigut L., Grieco E., Cescatti A., Matteucci G.
Journal of Advances in Modelling Earth System; https://doi.org/10.1029/2018MS001275 - PDF - ResearchGate
See also post by PEFC news 2019 (Italian)
Reproducing reproduction: how to simulate mast seeding in Forest models
Vacchiano G., Ascoli D., Berzaghi F., Lucas-Borja M.E., Caignard T., Collalti A., Mairota P., Palanghianu C., Reyer C.P.O., Sanders T.A.M., Schermer E., Wohlgemuth T., Hacket-Pain A.
Ecological Modelling; https://doi.org/10.1016/j.ecolmodel.2018.03.004 - PDF - ResearchGate
Do atmospheric CO2 concentration increase, climate and forest management affect iWUE of common beech? Evidences from carbon isotope analyses in tree rings
Rezaie N., D'Andrea E., Bräuning A., Matteucci G., Bombi P., Lauteri M.
Tree Physiology; https://doi.org/10.1093/treephys/tpy025 - PDF - ResearchGate
2017
The Role of Respiration in Estimation of Net Carbon Cycle: Coupling Soil Carbon Dynamics and Canopy Turnover in a Novel Version of 3D-CMCC Forest Ecosystem Model
Marconi S., Chiti T., Nolè A., Valentini R. and Collalti A.
Forests; https://doi.org/10.3390/f8060220 - PDF - ResearchGate
Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy)
Collalti A., Biondo C., Buttafuoco G., Maesano M., Caloiero T., Lucà F., Pellicone G., Ricca N., Salvati R., Veltri A., Scarascia Mugnozza G., Matteucci G.
Forest@; https://doi.org/10.3832/efor2368-014 - PDF - ResearchGate
Likelihood of changes in forest species suitability, distribution, and diversity under future climate: The case of Southern Europe