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Ecological impacts of non-native tree species plantations are broad and heterogeneous: a review of Brazilian research

Overview of attention for article published in Anais da Academia Brasileira de Ciências, October 2016
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Title
Ecological impacts of non-native tree species plantations are broad and heterogeneous: a review of Brazilian research
Published in
Anais da Academia Brasileira de Ciências, October 2016
DOI 10.1590/0001-3765201620150575
Pubmed ID
Authors

Marcos O Valduga, Rafael D Zenni, Jean R S Vitule

Abstract

Non-native tree plantations represent 7% of the world's forests and 1.24% of the Brazilian vegetation. Planted areas are expected to increase in the near future; thus, it is important to systematize existing knowledge on the ecological effects of plantations to aid forest management and biodiversity conservation. Here, we conducted a systematic review of the ecological literature associated with planted Pinus and Eucalyptus species in Brazil. We compared publication metrics with geographical distribution of species, ecosystems, biomes, studied taxa, and ecological impacts. We found 152 publications from 1992 to 2012. Number of publications positively correlated with area planted, number of plantations with forest certification, number of researchers, and richness of studied kingdoms. Most studies were in terrestrial ecosystems (92.1%), the Atlantic Forest biome (55.3%), and the kingdom Animalia (68.2%). Most impacts of non-native tree plantations were negative (55.9%), followed by positive (27%), and mixed (17.1%). Negative impacts were declines in species richness and abundance, seed bank diversity, and natural regeneration. Positive impacts were increase or mainteinance of seed bank diversity and natural regeneration. Mixed impacts were increases in abundance of native tree plantation pests. Taken together, results suggest forest management can help maintain biodiversity if it considers previous environmental conditions and integrates plantations with surrounding habitats.

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Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Researcher 17 18%
Student > Doctoral Student 12 12%
Student > Bachelor 10 10%
Professor 7 7%
Other 17 18%
Unknown 15 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 33%
Environmental Science 28 29%
Engineering 5 5%
Social Sciences 4 4%
Earth and Planetary Sciences 3 3%
Other 5 5%
Unknown 20 21%