Autoregressive modelling of species richness in the Brazilian Cerrado

Autor: CM. Vieira, D Blamires, JAF. Diniz-Filho, LM. Bini, TFLVB. Rangel

Publikováno v: Brazilian Journal of Biology, Vol 68, Iss 2, Pp 233-240

Spatial autocorrelation is the lack of independence between pairs of observations at given distances within a geographical space, a phenomenon commonly found in ecological data. Taking into account spatial autocorrelation when evaluating problems in

Externí odkaz: https://doaj.org/article/85644455aea44b7d9e24abf7e3b315a0

Geographical patterns and partition of turnover and richness components of beta-diversity in faunas from Tocantins river valley

Autor: MLS. Tonial, HLR. Silva, IJ. Tonial, MC. Costa, NJ. Silva Júnior, JAF. Diniz-Filho

Publikováno v: Brazilian Journal of Biology, Vol 72, Iss 3, Pp 497-504

There has been a resurging interest in patterns of β-diversity, especially by the mechanisms driving broad-scale, continental and global patterns, and how partitioning β-diversity into richness (or nestedness) and turnover components can be linked

Externí odkaz: https://doaj.org/article/494c6a3b077040bfa5849c34a133c302

How many studies are necessary to compare niche-based models for geographic distributions? Inductive reasoning may fail at the end

Autor: LC Terribile, JAF Diniz-Filho, P De Marco Jr.

Publikováno v: Brazilian Journal of Biology, Vol 70, Iss 2, Pp 263-269

The use of ecological niche models (ENM) to generate potential geographic distributions of species has rapidly increased in ecology, conservation and evolutionary biology. Many methods are available and the most used are Maximum Entropy Method (MAXEN

Externí odkaz: https://doaj.org/article/e793bfb8aaac4b538b8d9a39f3cc05ca

Overlooking vegetation loss outside forests imperils the Brazilian Cerrado and other non-forest biomes.

Autor: da Conceição Bispo P; Department of Geography, School of Environment, Education and Development, University of Manchester, Manchester, UK. polyanna.bispo@manchester.ac.uk.; Remote Sensing Applied to Tropical Environments Group, Manchester, UK. polyanna.bispo@manchester.ac.uk., Picoli MCA; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; WeForest, Brussels, Belgium., Marimon BS; Programa de Pós-Graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil., Marimon Junior BH; Programa de Pós-Graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil., Peres CA; School of Environmental Sciences, University of East Anglia, Norwich, UK., Menor IO; AMAP (Botanique et Modélisation de l'Architecture des Plantes et des Végétations), CIRAD, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France.; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.; Programa de Pós-Graduação em Ciências Ambientais, Universidade do Estado de Mato Grosso (UNEMAT), Caceres, Brazil., Silva DE; WWF-Brasil, Brasília, Brazil., de Figueiredo Machado F; Programa de Pós-Graduação em Biodiversidade, Ecologia e Conservação, Núcleo de Estudos Ambientais, Universidade Federal do Tocantins, Porto Nacional, Brazil.; A Vida no Cerrado (AVINC), Brasília, Brazil., Alencar AAC; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., de Almeida CA; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Anderson LO; National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil., Aragão LEOC; Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, Brazil., Breunig FM; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Departamento de Geografia, Universidade Federal do Paraná (UFPR), Curitiba, Brazil., Bustamante M; Department of Ecology, University of Brasília (UnB) and Brazilian Research Network on Global Climate Change - Rede Clima, Brasília, Brazil., Dalagnol R; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA.; NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA., Diniz-Filho JAF; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil.; INCT in Ecology, Evolution and Biodiversity Conservation, Goiânia, Brazil., Ferreira LG; Institute of Socioenvironmental Studies, Remote Sensing and GIS Lab, Federal University of Goiás, Goiânia, Brazil., Ferreira ME; Institute of Socioenvironmental Studies, Remote Sensing and GIS Lab, Federal University of Goiás, Goiânia, Brazil., Fisch G; Agricultural Department, University of Taubaté (UNITAU), Taubaté, Brazil., Galvão LS; Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, Brazil., Giarolla A; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Gomes AR; Amazon Spatial Coordination (COEAM) from National Institute for Space Research (INPE), Belém, Brazil., de Marco Junior P; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil., Kuck TN; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Instituto de Estudos Avançados - Brazilian Airforce, São José dos Campos, Brazil., Lehmann CER; Tropical Diversity, Royal Botanic Garden Edinburgh, Edinburgh, UK.; School of GeoSciences, University of Edinburgh, Edinburgh, UK., Lemes MR; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Liesenberg V; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Department of Forest Engineering, Santa Catarina State University (UDESC), Lages, Brazil., Loyola R; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil.; INCT in Ecology, Evolution and Biodiversity Conservation, Goiânia, Brazil.; International Institute for Sustainability (IIS), Rio de Janeiro, Brazil., Macedo MN; Amazon Environmental Research Institute (IPAM), Brasília, Brazil.; Woodwell Climate Research Center, Falmouth, MA, USA., de Souza Mendes F; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., do Couto de Miranda S; Universidade Estadual de Goiás (UEG), Palmeiras de Goiás, Brazil., Morton DC; NASA Goddard Space Flight Center, Greenbelt, MD, USA., Moura YM; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., Oldekop JA; Global Development Institute, University of Manchester, Manchester, UK., Ramos-Neto MB; The Nature Conservancy, São Paulo, Brazil., Rosan TM; Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK., Saatchi S; Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA.; NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA., Sano EE; Embrapa Cerrados, Planaltina, Brazil., Segura-Garcia C; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK., Shimbo JZ; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., Silva TSF; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK., Trevisan DP; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Department of Environmental Sciences, Federal University of São Carlos, São Carlos, Brazil., Zimbres B; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., Wiederkehr NC; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., Silva-Junior CHL; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Amazon Environmental Research Institute (IPAM), Brasília, Brazil.; Graduate Program in Biodiversity Conservation, Federal University of Maranhão, São Luís, Brazil.

Publikováno v: Nature ecology & evolution [Nat Ecol Evol] 2024 Jan; Vol. 8 (1), pp. 12-13.

Chloroplast genome assembly of Serjania erecta Raldk: comparative analysis reveals gene number variation and selection in protein-coding plastid genes of Sapindaceae.

Autor: Corvalán LCJ; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil., Sobreiro MB; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil., Carvalho LR; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil., Dias RO; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil., Braga-Ferreira RS; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil.; Instituto de Ciências Exatas e Naturais, Universidade Federal de Rondonópolis, Rondonópolis, Brazil., Targueta CP; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil., Silva-Neto CME; Instituto Federal de Goiás, Goiás, Brazil., Berton BW; Universidade de Ribeirão Preto, Ribeirão Preto, Brazil., Pereira AMS; Universidade de Ribeirão Preto, Ribeirão Preto, Brazil., Diniz-Filho JAF; Laboratório de Ecologia Teórica e Síntese, Universidade Federal de Goiás, Goiânia, Brazil., Telles MPC; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil.; Escola de Ciências Médicas e da Vida, Pontifícia Universidade Católica de Goiás, Goiânia, Brazil., Nunes R; Laboratório de Genética & Biodiversidade, Universidade Federal de Goiás, Goiânia, Brazil.; Instituto Federal de Goiás, Goiás, Brazil.

Publikováno v: Frontiers in plant science [Front Plant Sci] 2023 Sep 26; Vol. 14, pp. 1258794. Date of Electronic Publication: 2023 Sep 26 (Print Publication: 2023).