Forest Modelling Lab.
Publications
2023
Integrating annual radial growth analyses and carbon isotope discrimination to forecast early warning of beech forest dieback across the Italian Peninsula
Puchi P. F., Dalmonech D., Vangi, E., Battipaglia G., Tognetti R., Collalti A.
Robotics in Forest Inventories: SPOT’s First Steps
Chirici, G., Giannetti, F., D’Amico, G., Vangi, E., Francini, S., Borghi, C., Corona, P., Travaglini, D.
Stand age diversity dampens forests sensitivity to climate change
Vangi E., Dalmonech D., Cioccolo E., Marano G., Bianchini L., Puchi P., Grieco E., Colantoni A., Chirici G., Collalti A.
Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. multiple datasets
Dalmonech D., Chiesi M., Chirici G., Fibbi L., Giannetti F., Marano G., Massari C., Nolè A., Vangi E., Kiao J., Collalti A.
The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle
Willeit M., Ilyina T., Liu B., Heinze C., Perrette M., Heinemann M., Dalmonech D., Brovkin V., Munhoven G., Börker J., Hartmann J., Romero-Mujalli G., and Ganopolski A.
Geoscientific Model Development; https://doi.org/10.5194/gmd-16-3501-2023 - PDF
GPP and the predictability of CO2: more uncertainty in what we predict than how well we predict it
Dunkl I., Lovenduski N., Collalti A., Arora V. K., Ilyina T., and Brovkin V.
Biogeosciences; https://doi.org/10.5194/bg-20-3523-2023 - PDF - ResearchGate
ForestClim – Bioclimatic variables for microclimate temperatures in European forests
Haesen S., Lembrechts J.J., De Frenne P., Lenoir J., Aalto J., Ashcroft M.B., Kopecky M., Luoto M., Maclean I., Nijs I., Niittynen P., van den Hoogen J., Arriga N., Brůna J., Buchman N., Čiliak M., Collalti A., De Lombaerde E., Descombes P., Gharun M., Goded I., Govaert S., Greiser C., Grelle A., Gruening C., Hederová L., Hylander K., Kreyling J., Kruijt B., Macek M., Máliš F., Man M., Manca G., Matula G., Meeussen C., Merinero S., Minerbi S., Montagnani L., Muffler M., Ogaya R., Penuelas J., Plichta R., Portillo-Estrada M., Schmeddes J., Shekhar A., Spicher F., Ujházyová M., Vangansbeke P., Weigel R., Wild J., Zellweger F., Van Meerbeek K.
Global Change Biology; https://doi.org/10.1111/gcb.16678 - PDF - ResearchGate
Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests
Parisi F., Vangi E., Francini S., D’Amico G., Chirici G., Marchetti M., Lombardi F., Travaglini D., Ravera S., De Santis E., Tognetti R.
Calibrating a Process-Based Model to Enhance Robustness in Carbon Sequestration Simulations: The Case of Cedrus atlantica (Endl.) Manetti ex Carrière
Boukhris I., Lahssini S., Collalti A., Moukrim S., Santini M., Chiti T., Valentini R.
Revealing how intra- and inter-annual variability of carbon uptake (GPP) affects wood cell biomass in an eastern white pine forest
Puchi P. F., KhomikM., Frigo D., Altaf Arain M., Fonti P., von Arx G., Castagneri D.
Environmental Research Letters; https://iopscience.iop.org/article/10.1088/1748-9326/acb2df
Simulating diverse forest management in a changing climate on a Pinus nigra subsp. laricio plantation in Southern Italy
Testolin R., Dalmonech D., Marano G., Bagnara M., D'Andrea E., Matteucci G., Noce S., Collalti A.
Science of the Total Environment; https://doi.org/10.1016/j.scitotenv.2022.159361 - PDF - ResearchGate
2022
3D-CMCC-FEM (Coupled Model Carbon Cycle). BioGeoChemical and Biophysical Forest Ecosystem - User’s Guide
Collalti A., Dalmonech D., Marano G., Vangi E., Puchi P., Grieco G., Orrico M.
GEDI4R: an R package for NASA’s GEDI level 4 A data downloading, processing and visualization
Vangi E., D'Amico G., Francini S., Chirici G.
Wall-to-Wall Mapping of Forest Biomass and Wood Volume Increment in Italy
Giannetti F., Chirici G., Vangi E., Corona P., Maselli F., Chiesi M., D'Amico G., Puletti N.
Feasibility of enhancing carbon sequestration and stock capacity in temperate and boreal European forests via changes to management regimes
Dalmonech D., Marano G., Amthor J., Cescatti A., Lindner M., Trotta C., Collalti A.
Agricultural and Forest Meteorology; https://doi.org/10.1016/j.agrformet.2022.109203 - PDF - ResearchGate
Accuracy, realism and general applicability of European forest models
Mahnken M., Cailleret M., Collalti A., Trotta C., Biondo C., D'Andrea E., Dalmonech D., Marano G., Mäkelä A., Minunno F., Peltoniemi M., Trotsiuk V., Nadal-Sala D., Sabaté S., Vallet P., Aussenac R., Cameron D.R., Bohn F.J., Grote R., Augustynczik A.L.D., Yousefpour R., Huber N., Bugmann H., Merganikova K., Merganic J., Valent P., Lash-Born P., Hartig F., Vega del Valle I.D., Volkholz J., Gustch M., Matteucci G., Krejza J., Ibrom A., Meesenburg H., Rötzer T., van der Maaten-Theunissen M., van der Maaten E., Reyer C.P.O.
Global Change Biology; https://doi.org/10.1111/gcb.16384 - PDF - ResearchGate
Strategic roadmap to assess forest vulnerability under air pollution and climate change
De Marco A., Sicard P., Feng Z., Aganthokleous E., Alonso R., Araminiene V., Augustatis A., Badea O., Beasley J.C., Branquinho C., Bruckman V.J., Collalti A., David-Schwartz R., Domingos M., Du E., Garcia-Gomez H., Hashimoto S., Hoshika Y., Jakovlievic T., McNulty S., Oksaena E., Khaniabadi Y.O., Prescher A.-K., Saitanis C.J., Sase H., Schmitz A., Voight G., Watanabe M., Wood M.D., Kozlov M.V., Paoletti E.
Global Change Biology; https://doi.org/10.1111/gcb.16278 - PDF - ResearchGate
Ozone modelling and mapping for risk assessment: an overview of different approaches for human and ecosystems health
De Marco A., Garcia-Gomez H., Collalti A., Khaniabadi Y. O., Feng Z., Proietti C., Vitale M., Anav A., Paoletti E.
Environmental Research; https://doi.org/10.1016/j.envres.2022.113048 - PDF - ResearchGate
Legislative and functional aspects of different metrics used for ozone risk assessment to forests
Anav A., De Marco A., Collalti A., Emberson L., Feng Z., Lombardozzi D., Sicard P., Verbeke T., Viovy N., Vitale M., Paoletti E.
Environmental Pollution; https://doi.org/10.1016/j.envpol.2021.118690 - PDF - ResearchGate
Simulating tree growth response to climate change in structurally-diverse oak and beech forests
De Wergifosse L., Andrè F., Goosse H., Boczon A., Cecchini S., Ciceu A., Collalti A., Cools N., D’Andrea E., De Vos B., Hamdi R., Ingerslev M., Knudsen M.A., Kowalska A., Leca S., Matteucci G., Nord-Larsen T., Sanders T., Schmitz A., Termonia P., Vanguelova E., Van Schaeybroeck B., Verstraeten A., Vesterdal L., Jonard M.
Science of the Total Environment; https://doi.org/10.1016/j.scitotenv.2021.150422 - PDF - ResearchGate
2021
ForestTemp – sub-canopy microclimate temperatures of European forests
Haesen S., Lembrechts J.J., De Frenne P., Lenoir J., Aalto J., Ashcroft M.B., Kopecky M., Luoto M., Maclean I., Nijs I., Niittynen P., van den Hoogen J., Arriga N., Brůna J., Buchman N., Čiliak M., Collalti A., De Lombaerde E., Descombes P., Gharun M., Goded I., Govaert S., Greiser C., Grelle A., Gruening C., Hederová L., Hylander K., Kreyling J., Kruijt B., Macek M., Máliš F., Man M., Manca G., Matula G., Meeussen C., Merinero S., Minerbi S., Montagnani L., Muffler M., Ogaya R., Penuelas J., Plichta R., Portillo-Estrada M., Schmeddes J., Shekhar A., Spicher F., Ujházyová M., Vangansbeke P., Weigel R., Wild J., Zellweger F., Van Meerbeek K.
Global Change Biology; https://doi.org/10.1111/gcb.15892 - PDF - ResearchGate
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.
Environmental Research Letter; https://doi.org/10.1088/1748-9326/ac2407 - 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
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
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
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