Maximum entropy model trained to estimate probability to host trees taller then 70 m based on environmental factors

dc.contributor.affiliationUniversidade Federal dos Vales do Jequitinhonha e Mucuri - Gorgens, Eric Bastos
dc.contributor.affiliationUniversity of Helsinki - Nunes, Matheus Henrique
dc.contributor.affiliationUniversity of Cambridge - Jackson, Tobias
dc.contributor.affiliationUniversity of Cambridge - Coomes, David
dc.contributor.affiliationUnited States Forest Service - Keller, Michael
dc.contributor.affiliationUniversidade de São Paulo - Reis, Cristiano Rodrigues
dc.contributor.affiliationBangor University - Valbuena, Rubén
dc.contributor.affiliationSwansea University - Rosette, Jacqueline
dc.contributor.affiliationUniversidade de São Paulo - Almeida, Danilo Roberti Alves
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia - Gimenez, Bruno
dc.contributor.affiliationUniversidade de Brasília - Cantinho, Roberta
dc.contributor.affiliationUniversidade Federal dos Vales do Jequitinhonha e Mucuri - Motta, Alline Zagnolli
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais - Assis, Mauro
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais - Pereira, Francisca Rocha de Souza
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia - Spanner, Gustavo
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia - Higuchi, Niro
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais - Ometto, Jean Pierre
dc.contributor.authorGorgens, Eric Bastos
dc.contributor.authorNunes, Matheus Henrique
dc.contributor.authorJackson, Tobias
dc.contributor.authorCoomes, David
dc.contributor.authorKeller, Michael
dc.contributor.authorReis, Cristiano Rodrigues
dc.contributor.authorValbuena, Rubén
dc.contributor.authorRosette, Jacqueline
dc.contributor.authorAlmeida, Danilo Roberti Alves
dc.contributor.authorGimenez, Bruno
dc.contributor.authorCantinho, Roberta
dc.contributor.authorMotta, Alline Zagnolli
dc.contributor.authorAssis, Mauro
dc.contributor.authorPereira, Francisca Rocha de Souza
dc.contributor.authorSpanner, Gustavo
dc.contributor.authorHiguchi, Niro
dc.contributor.authorOmetto, Jean Pierre
dc.date.accessioned2025-03-24T15:23:34Z
dc.date.issued2020-10-05
dc.date.issued2020-10-05
dc.descriptionFocusing only on the tallest trees - those over 70 m in height – we built an environmental envelope model to assess the conditions which allow them to occur. We employed the maximum entropy approach (MaxEnt) commonly applied to modelling species geographic distributions with presence-only data to discriminate suitable versus unsuitable areas for the species. We initially considered a total of 18 environmental variables: (1) fraction of absorbed photosynthetically active radiation (FAPAR; in %); (2) elevation above sea level (Elevation; in m);  (3) the component of the horizontal wind towards east, i.e. zonal velocity (u-speed ; in m s-1); (4) the component of the horizontal wind towards north, i.e. meridional velocity (v-speed ; in m s-1); (5) the number of days not affected by cloud cover (clear days; in days yr-1); (6) the number of days with precipitation above 20 mm (days > 20mm; in days yr-1 ); (7) lightning frequency (flashes rate); (8) annual precipitation (in mm); (9) potential evapotranspiration (in mm); (10) coefficient of variation of precipitation (precipitation seasonality; in %); (11) amount of precipitation on the wettest month (precip. wettest; in mm); (12) mean annual temperature (in °C); (13)  standard deviation of temperature (temp. seasonality; in °C); (14) annual maximum temperature (in °C); (15) soil clay content (in %); and (16) soil water content (in %).
dc.identifierhttps://doi.org/10.5281/zenodo.4066653
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11245
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.subjectniche modeling
dc.subjecttree height
dc.subjectamazon
dc.titleMaximum entropy model trained to estimate probability to host trees taller then 70 m based on environmental factors
dc.typesoftware
dc.typesoftware
Zenodo


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