Potential and Future Geographical Distribution of Eremanthus erythropappus (DC.) MacLeish: a Tree Threatened by Climate Change
Monica Canaan Carvalho; Lucas Rezende Gomide; Fausto Weimar Acerbi Júnior; David Tng
Abstract
Keywords
References
Amaral C, Amaral W, Pereira I, Oliveira P, Machado V. Comparação florístico-estrutural dos estratos adultos e regenerantes em área minerada de campo rupestre, Diamantina, MG.
Araújo F, Tng D, Apgaua D, Coelho P, Pereira D, Santos R. Post-fire plant regeneration across a closed forest-savanna vegetation transition.
Brenes-Arguedas T, Roddy A, Coley P, Kursar T. Do differences in understory light contribute to species distributions along a tropical rainfall gradient?
Bucklin D, Basille M, Benscoter A, Brandt L, Mazzotti F, Romañach S et al. Comparing species distribution models constructed with different subsets of environmental predictors.
Carnaval AC, Moritz C. Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest.
Carvalho M, Gomide L, Santos R, Scolforo JR, Carvalho L, Mello J. Modeling ecological niche of tree species in Brazilian tropical area.
Clark A, Khweiss N, Salazar L, Verdadero L.
Coelho GLN, Carvalho LMT, Gomide LR. Modelagem preditiva de distribuição de espécies pioneiras no Estado de Minas Gerais.
Condit R, Ashton P, Baker P, Bunyavejchewin S, Gunatilleke S, Gunatilleke N et al. Spatial patterns in the distribution of tropical tree species.
Curi N, Marques J, Marques A, Fernandes E. Solos, geologia, relevo e mineração. In: Scolforo J, Carvalho L, Oliveira A, editors.
Cutler DR, Edwards TC Jr, Beard KH, Cutler A, Hess KT, Gibson J et al. Random Forest for classification in ecology.
Donadelli F. Motivações e resultados da certificação florestal: um estudo de caso cadeia de valor da candeia.
Environmental Systems Research Institute – ESRI.
Feitosa S, Davide A, Tonetti O, Fabricante J, Lui L. Estudos de viabilidade de sementes de Candeia
Garzón M, Blazek R, Neteler M, Dios R, Ollero H, Furlanello C. Predicting habitat suitability with machine learning models: the potential area of
GFA Consulting Group.
Guo F, Lenoir J, Bonebrake T. Land-use change interacts with climate to determine elevational species redistribution.
Gwitira I, Murwira A, Shekede M, Masocha M, Chapano C. Precipitation of the warmest quarter and temperature of the warmest month are key to understanding the effect of climate change on plant species diversity in Southern African Savanna.
Hamann A, Wang T. Potential effects of climate change on ecosystem and tree species distribution in British Columbia.
Hijmans R, Cameron S, Parra J, Jones P, Jarvis A. Very high resolution interpolated climate surfaces for global land areas.
Instituto Estadual de Florestas – IEF [online]. Belo Horizonte; 2017 [cited 2019 Jan 7]. Available from: http://www.ief.mg.gov.br/areas-protegidas/banco-de-dados-de-unidades-de-conservacao-estaduais
Kurz WA, Dymond C, Stinson G, Rampley G, Neilson E, Carroll A et al. Mountain pine beetle and forest carbon feedback to climate change.
Liaw A, Wiener M. Classification and regression by random forest.
Lorena A, Jacintho L, Siqueira M, De Giovanni R, Lohmann G, Carvalho A et al. Comparing machine learning classifiers in potential distribution modeling.
Magalhães C, Missagia R, Costa F, Costa M. Diversidade de fungos endofíticos em Candeia
Martins F, Gonzaga G, Santos D, Reboita M. Classificação climática de Köppen e de Thornthwaite para Minas Gerais: cenário atual e projeções futuras.
McIntyre S, Rangel E, Ready P, Carvalho B. Species-specific Ecological niche modeling predicts different range contractions for
Meira M Jr, Pereira I, Machado E, Mota S, Otoni T. Espécies potenciais para recuperação de áreas de floresta estacional semidecidual com exploração de minério de ferro na serra do Espinhaço.
Menze B, Kelm B, Masuch R, Himmelreich U, Bachert P, Petrich W et al. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.
Mori C, Brito J, Scolforo J, Vidal E, Mendes L. Influence of altitude, age and diameter on yeld and Alpha-Bisabolol content of Candeia trees (
Oliveira A Fo, Fluminhan M Fo. Ecologia da vegetação do parque florestal quedas do Rio Bonito.
Pádua J, Brandão M, Carvalho D. Spatial genetic structure in natural populations of the overexploited tree
Pereira I, Santos G, Carlos L, Silva N. Plantio de candeia e uso de topsoil na recuperação de uma cascalheira no Parque Estadual do Biribiri em Diamantina, MG.
Pérez J, Scolforo J, Oliveira A, Mello J, Borges L, Camolesi JF. Sistema de manejo para a candeia -
Pouteau R, Meyer J, Taputuarai R, Stoll B. Support Vector machines to map rare and endangered native plants in Pacific islands forests.
Prasad A, Iverson L, Matthews S, Peters M. A multistage decision support framework to guide tree species management under climate change via habitat suitability and colonization models, and a knowledge-based scoring system.
R Core Team.
Scolforo H, Scolforo J, Mello J, Ferraz A Fo, Rossoni D, Altoé T et al. Autoregressive spatial analysis and individual tree modeling as strategies for the management of
Scolforo J, Altoé T, Scolforo H, Mello J, Silva C, Ferraz A Fo. Management strategies of
Scolforo J, Oliveira A, Davide A.
Serviço Florestal Brasileiro – SFB [online]. Brasília; 2019 [cited 2019 Jan 7]. Available from: http://www.florestal.gov.br/modulo-de-relatorios
Silva C, Oliveira A, Coelho L Jr, Scolforo J, Souza A. Viabilidade econômica e rotação florestal de plantios de Candeia (
Silva M, Mello J, Scolforo J, Czanck L, Andrade I, Oliveira A. Análise da distribuição espacial da candeia (
Silveira FAO, Negreiros D, Barbosa NPU, Buisson E, Carmo FF, Carstensen DW et al. Ecology and evolution of plant diversity in the endangered campo rupestre: a neglected conservation priority.
Siqueira F, Pinto L. Semeadura direta de Candeia (
Sóberon J, Peterson AT. Interpretation of models of fundamental ecological niches and species’ distributional areas.
Turchetto-Zolet A, Salgueiro F, Turchetto C, Cruz F, Veto N, Barros M et al. Phylogeography and ecological niche modelling in
Vieira F, Fajardo C, Carvalho D. Floral biology of candeia (
Wang T, Campbell E, O’Neill G, Aitken S. Projecting future distributions of ecosystem climate niches: uncertainties and management applications.
Wang T, Wang G, Innes J, Nitschke C, Kang H. Climatic niche models and their consensus projections for future climates for four major forest tree species in the Asia-Pacific region.
Watanabe M, Suzuki T, O’ishi R, Komuro Y, Watanabe S, Emori S et al. Improved climate simulation by MIROC5: mean states, variability, and climate sensitivity.
Zhang L, Liu S, Sun P, Wang T, Wang G, Zhang X et al. Consensus forecasting of species distributions: the effects of niche model performance and niche properties.
Facebook
Google+
Twitter
LinkedIn
Mendeley
StumbleUpon
CiteULike
Reddit
Email