New! Sign up for our free email newsletter.
Science News
from research organizations

Evolutionary diversity is associated with Amazon forest productivity

Date:
November 11, 2019
Source:
University of Leeds
Summary:
An international team of researchers have revealed for the first time that Amazon forests with the greatest evolutionary diversity are the most productive.
Share:
FULL STORY

An international team of researchers led by the University of Leeds have revealed for the first time that Amazon forests with the greatest evolutionary diversity are the most productive.

The team used long term-records from 90 plots as part of the Amazon Forest Inventory Network (RAINFOR) and ForestPlots.net to track the lives and productivity of individual trees across the Amazon region. By combining these records with DNA sequence data -- which identified the evolutionary relationships among all the species -- the team was able to investigate the links between how fast different forests grow and their diversity.

Their study demonstrated that the plots with the greatest evolutionary diversity were a third more productive compared to areas with the least evolutionary diversity.

The finding suggest that evolutionary diversity should be an important consideration when identifying priority areas for conservation.

Study lead author Fernanda Coelho from the School of Geography at Leeds said: "Understanding how biodiversity affects productivity in tropical forests is important because it allows us to understand how conservation strategies can best be designed to maximise protection of species and the services that these ecosystems provide.

"Our results indicate that we should include evolutionary history in conservation priorities -- because ecosystem function may be higher in areas where species come from right across the tree of life'.


Story Source:

Materials provided by University of Leeds. Note: Content may be edited for style and length.


Journal Reference:

  1. Fernanda Coelho de Souza, Kyle G. Dexter, Oliver L. Phillips, R. Toby Pennington, Danilo Neves, Martin J. P. Sullivan, Esteban Alvarez-Davila, Átila Alves, Ieda Amaral, Ana Andrade, Luis E. O. C. Aragao, Alejandro Araujo-Murakami, Eric J. M. M. Arets, Luzmilla Arroyo, Gerardo A. Aymard C., Olaf Bánki, Christopher Baraloto, Jorcely G. Barroso, Rene G. A. Boot, Roel J. W. Brienen, Foster Brown, José Luís C. Camargo, Wendeson Castro, Jerome Chave, Alvaro Cogollo, James A. Comiskey, Fernando Cornejo-Valverde, Antonio Lola da Costa, Plínio B. de Camargo, Anthony Di Fiore, Ted R. Feldpausch, David R. Galbraith, Emanuel Gloor, Rosa C. Goodman, Martin Gilpin, Rafael Herrera, Niro Higuchi, Eurídice N. Honorio Coronado, Eliana Jimenez-Rojas, Timothy J. Killeen, Susan Laurance, William F. Laurance, Gabriela Lopez-Gonzalez, Thomas E. Lovejoy, Yadvinder Malhi, Beatriz S. Marimon, Ben Hur Marimon-Junior, Casimiro Mendoza, Abel Monteagudo-Mendoza, David A. Neill, Percy Núñez Vargas, Maria C. Peñuela Mora, Georgia C. Pickavance, John J. Pipoly, Nigel C. A. Pitman, Lourens Poorter, Adriana Prieto, Freddy Ramirez, Anand Roopsind, Agustin Rudas, Rafael P. Salomão, Natalino Silva, Marcos Silveira, James Singh, Juliana Stropp, Hans ter Steege, John Terborgh, Raquel Thomas-Caesar, Ricardo K. Umetsu, Rodolfo V. Vasquez, Ima Célia-Vieira, Simone A. Vieira, Vincent A. Vos, Roderick J. Zagt, Timothy R. Baker. Evolutionary diversity is associated with wood productivity in Amazonian forests. Nature Ecology & Evolution, 2019; DOI: 10.1038/s41559-019-1007-y

Cite This Page:

University of Leeds. "Evolutionary diversity is associated with Amazon forest productivity." ScienceDaily. ScienceDaily, 11 November 2019. <www.sciencedaily.com/releases/2019/11/191111124755.htm>.
University of Leeds. (2019, November 11). Evolutionary diversity is associated with Amazon forest productivity. ScienceDaily. Retrieved November 22, 2024 from www.sciencedaily.com/releases/2019/11/191111124755.htm
University of Leeds. "Evolutionary diversity is associated with Amazon forest productivity." ScienceDaily. www.sciencedaily.com/releases/2019/11/191111124755.htm (accessed November 22, 2024).

Explore More

from ScienceDaily

RELATED STORIES