255
© The Author(s) 2020
J. Cavender-Bares et al. (eds.), Remote Sensing of Plant Biodiversity,
https://doi.org/10.1007/978-3-030-33157-3_11
Chapter 11
Predicting Patterns of Plant Diversity
and Endemism in the Tropics Using
Remote Sensing Data: A Study Case
from the Brazilian Atlantic Forest
Andrea Paz, Marcelo Reginato, Fabián A. Michelangeli, Renato Goldenberg,
Mayara K. Caddah, Julián Aguirre-Santoro, Miriam Kaehler,
Lúcia G. Lohmann, and Ana Carnaval
11.1 Introduction
The spatial distribution of species is unquestionably tied to environments, particularly
temperature and precipitation (Hutchinson 1957). By exploring this correlation,
multiple studies have demonstrated that environmental descriptors are able to predict geographic patterns of biological diversity reasonably well (Peters et al. 2016;
A. Paz (*) · A. Carnaval
Department of Biology, City College of New York, New York, NY, USA
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
M. Reginato
Departamento de Botânica, Instituto de Biociências, Universidade Federal do Rio Grande
do Sul, Porto Alegre, RS, Brazil
F. A. Michelangeli
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
Institute of Systematic Botany, The New York Botanical Garden, The Bronx, NY, USA
R. Goldenberg
Universidade Federal do Paraná, Curitiba, PR, Brazil
M. K. Caddah
Universidade Federal de Santa Catarina, Florianopolis, SC, Brazil
J. Aguirre-Santoro
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
Instituto de Ciencias Naturales, Facultad de Ciencias, Universidad Nacional de Colombia,
Bogotá, Colombia
M. Kaehler · L. G. Lohmann
Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo,
São Paulo, SP, Brazil
© The Author(s) 2020
J. Cavender-Bares et al. (eds.), Remote Sensing of Plant Biodiversity,
https://doi.org/10.1007/978-3-030-33157-3_11
Chapter 11
Predicting Patterns of Plant Diversity
and Endemism in the Tropics Using
Remote Sensing Data: A Study Case
from the Brazilian Atlantic Forest
Andrea Paz, Marcelo Reginato, Fabián A. Michelangeli, Renato Goldenberg,
Mayara K. Caddah, Julián Aguirre-Santoro, Miriam Kaehler,
Lúcia G. Lohmann, and Ana Carnaval
11.1 Introduction
The spatial distribution of species is unquestionably tied to environments, particularly
temperature and precipitation (Hutchinson 1957). By exploring this correlation,
multiple studies have demonstrated that environmental descriptors are able to predict geographic patterns of biological diversity reasonably well (Peters et al. 2016;
A. Paz (*) · A. Carnaval
Department of Biology, City College of New York, New York, NY, USA
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
M. Reginato
Departamento de Botânica, Instituto de Biociências, Universidade Federal do Rio Grande
do Sul, Porto Alegre, RS, Brazil
F. A. Michelangeli
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
Institute of Systematic Botany, The New York Botanical Garden, The Bronx, NY, USA
R. Goldenberg
Universidade Federal do Paraná, Curitiba, PR, Brazil
M. K. Caddah
Universidade Federal de Santa Catarina, Florianopolis, SC, Brazil
J. Aguirre-Santoro
Biology Program, The Graduate Center, City University of New York, New York, NY, USA
Instituto de Ciencias Naturales, Facultad de Ciencias, Universidad Nacional de Colombia,
Bogotá, Colombia
M. Kaehler · L. G. Lohmann
Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo,
São Paulo, SP, Brazil