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Carbon and nutrient stocks of three Fabaceae trees used for forest restoration and subjected to fertilization in Amazonia

Overview of attention for article published in Anais da Academia Brasileira de Ciências, September 2017
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Title
Carbon and nutrient stocks of three Fabaceae trees used for forest restoration and subjected to fertilization in Amazonia
Published in
Anais da Academia Brasileira de Ciências, September 2017
DOI 10.1590/0001-3765201720160734
Pubmed ID
Authors

ROBERTO K. JAQUETTI, JOSÉ FRANCISCO C. GONÇALVES

Abstract

Amazonia is crucial to global carbon cycle. Deforestation continues to be one of the main causes of the release of C into the atmosphere, but forest restoration plantations can reverse this scenario. However, there is still diffuse information about the C and nutrient stocks in the vegetation biomass. We investigated the carbon and nutrient stocks of Fabaceae trees (Inga edulis, Schizolobium amazonicum and Dipteryx odorata) subjected to fertilization treatments (T1 - no fertilization; T2 - chemical; T3 - organic; and T4 - organic and chemical fertilization) in a degraded area of the Balbina Hydroelectric Dam, AM - Brazil. As an early successional species, I. edulis stocked more C and nutrients than the other two species independent of the fertilization treatment, and S. amazonicum stocked more C than D. odorata under T1 and T4. The mixed species plantation had the potential to stock 4.1 Mg C ha-1 year-1, while I. edulis alone could stock 9.4 Mg C ha-1 year-1. Mixing species that rapidly assimilate C and are of significant ecological and commercial value (e.g., Fabaceae trees) represents a good way to restore degraded areas. Our results suggest that the tested species be used for forest restoration in Amazonia.

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The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 21%
Student > Master 7 16%
Student > Doctoral Student 5 12%
Student > Ph. D. Student 4 9%
Professor 3 7%
Other 6 14%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 33%
Environmental Science 9 21%
Chemistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 12%
Unknown 11 26%