Novel growth models for three Brazilian native timber species and their applications for timber production and carbon stock assessment

Sustainable native timber production and the carbon market can be a crucial strategy for scaling up tropical forest restoration. In this context, this study developed both growth models and growth‐climate models for Cariniana legalis , Dalbergia nigra , and Zeyheria tuberculosa to predict tree diameter and total height, analyzed growth patterns among species, and estimated their commercial rotation age for timber production. We collected data from 14 tree plantations distributed throughout the Brazilian Atlantic Forest, with a total of 5564 trees sampled. The plantations span a broad climatic gradient, with ages ranging from 1 to 50 years. Dalbergia nigra showed the highest growth rate (1.33 cm/year) and a first harvest age of 22 years, indicating its suitability for furniture and construction wood production. Cariniana legalis showed a slightly lower growth rate (1.16 cm/year) and required 31 years to reach first harvest, with wood ideal for construction and furniture. In contrast, Z. tuberculosa had the lowest diameter increment (0.90 cm/year) and did not reach the diameter at the breast level threshold, making it more suitable for non‐premium uses such as utensils and pallets. Through the growth‐climate models, we found that climatic water deficit and minimum temperature were the most influential variables explaining tree growth across bioclimatic regions, with higher temperatures and limited water availability significantly constraining species productivity. The developed models can greatly contribute to predicting timber production potential and carbon stock assessment, which can contribute to scaling up restoration efforts and facilitating forest management planning.

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Institutions

Publication Details

Journal
Restoration Ecology
Published
2025-03-25
DOI
https://doi.org/10.1111/rec.70045
Citations
2
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
4.63

Funders

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article

Novel growth models for three Brazilian native timber species and their applications for timber production and carbon stock assessment

Mark S. Ashton, João Paulo Bispo Santos, Angélica Faria de Resende, Ricardo Ribeiro Rodrigues et al.
2 citations
Restoration Ecology
Forest ecology and management
4.63
article

Novel growth models for three Brazilian native timber species and their applications for timber production and carbon stock assessment

Mark S. Ashton, João Paulo Bispo Santos, Angélica Faria de Resende, Ricardo Ribeiro Rodrigues, Allana Katiussya Silva Pereira, Florencia Montagnini, Miguel Luiz Menezes Freitas, Vinícius Castro Souza, Pedro H. S. Brancalion, Daniel Piotto
article en
2 citations

Abstract

Sustainable native timber production and the carbon market can be a crucial strategy for scaling up tropical forest restoration. In this context, this study developed both growth models and growth‐climate models for Cariniana legalis , Dalbergia nigra , and Zeyheria tuberculosa to predict tree diameter and total height, analyzed growth patterns among species, and estimated their commercial rotation age for timber production. We collected data from 14 tree plantations distributed throughout the Brazilian Atlantic Forest, with a total of 5564 trees sampled. The plantations span a broad climatic gradient, with ages ranging from 1 to 50 years. Dalbergia nigra showed the highest growth rate (1.33 cm/year) and a first harvest age of 22 years, indicating its suitability for furniture and construction wood production. Cariniana legalis showed a slightly lower growth rate (1.16 cm/year) and required 31 years to reach first harvest, with wood ideal for construction and furniture. In contrast, Z. tuberculosa had the lowest diameter increment (0.90 cm/year) and did not reach the diameter at the breast level threshold, making it more suitable for non‐premium uses such as utensils and pallets. Through the growth‐climate models, we found that climatic water deficit and minimum temperature were the most influential variables explaining tree growth across bioclimatic regions, with higher temperatures and limited water availability significantly constraining species productivity. The developed models can greatly contribute to predicting timber production potential and carbon stock assessment, which can contribute to scaling up restoration efforts and facilitating forest management planning.

Restoration EcologyVol. 33(4)
Universidade de São Paulo (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Yale University (US), Universidade Federal do Sul da Bahia (BR), Forest Science and Research Institute (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 7%
Forest ecology and management
4.63
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