Endangered species account for 10% of Brazil’s documented timber trade

Brandes, Arno Fritz das Neves; Novello, Bruno Quiroga; Domingues, Gustavo de Assis Forés; Barros, Cláudia Franca; Tamaio, Neusa

doi:10.1016/j.jnc.2020.125821

Cited by 22 publications

(5 citation statements)

References 19 publications

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“…The spatial patterns of extinction risk estimated in this study are consistent with the estimates produced independently by the GTA (BGCI, 2021), indicating that they are robust and not a product of the data or method used. Brazil harbors the highest number of threatened species, and the threat is continuing as the timber of possibly threatened species is traded in vast amounts, primarily to countries of the global North (Brandes et al, 2020), and the rates of deforestation remain extremely high (accessed on 13. August, 2021).…”

Section: Discussionmentioning

confidence: 99%

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

et al. 2022

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Trees are fundamental for Earth’s biodiversity as primary producers and ecosystem engineers and are responsible for many of nature’s contributions to people. Yet, many tree species at present are threatened with extinction by human activities. Accurate identification of threatened tree species is necessary to quantify the current biodiversity crisis and to prioritize conservation efforts. However, the most comprehensive dataset of tree species extinction risk—the Red List of the International Union for the Conservation of Nature (IUCN RL)—lacks assessments for a substantial number of known tree species. The RL is based on a time-consuming expert-based assessment process, which hampers the inclusion of less-known species and the continued updating of extinction risk assessments. In this study, we used a computational pipeline to approximate RL extinction risk assessments for more than 21,000 tree species (leading to an overall assessment of 89% of all known tree species) using a supervised learning approach trained based on available IUCN RL assessments. We harvested the occurrence data for tree species worldwide from online databases, which we used with other publicly available data to design features characterizing the species’ geographic range, biome and climatic affinities, and exposure to human footprint. We trained deep neural network models to predict their conservation status, based on these features. We estimated 43% of the assessed tree species to be threatened with extinction and found taxonomic and geographic heterogeneities in the distribution of threatened species. The results are consistent with the recent estimates by the Global Tree Assessment initiative, indicating that our approach provides robust and time-efficient approximations of species’ IUCN RL extinction risk assessments.

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Section: Discussionmentioning

confidence: 99%

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

et al. 2022

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“…Los volúmenes de madera y especies forestales traficadas en las 3 sedes representan un valor significativo, más aún determinando cuales son las especies más traficadas, ya que debido a eso estas especies pueden correr peligro de extinción o de ser parte del Libro Rojo de la Fauna Silvestre Amenazada del Perú. (Neves et al, 2020).…”

Section: Volumen De Madera Incautada Por Las Fiscalías En Materia Amb...unclassified

“…El tráfico ilegal de madera es un problema mundial. Las consecuencias ambientales de la deforestación y el comercio ilegal incluyen la pérdida de biodiversidad y la degradación ambiental (Neves et al, 2020). Brasil implementó una política agresiva empleando imágenes de teledetección, embargos, multas, confiscación de madera y maquinaria, que le permite reducir significativamente la deforestación ilegal, (Tacconi et al, 2019).…”

Section: Introductionunclassified

Tráfico de madera y especies forestales en sedes fiscales ambientales de Moyobamba, Juanjuí y Yurimaguas, Perú 2022-2023

Ordoñez Ruiz,

Ordóñez Sánchez,

Díaz Aguilar

et al. 2023

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La investigación es descriptiva, tiene como objetivo conocer el accionar de las Fiscalías Ambientales de Moyobamba, Juanjuí y Yurimaguas. Las preocupaciones surgen de los efectos devastadores que tiene esta actividad ilegal. Se trabajó con el análisis relacional de Gray, para establecer el accionar de cada sede fiscal. Se tomó en cuenta la variable Efectividad de las sedes fiscales de Moyobamba, Juanjuí y Yurimaguas en la incautación de especies forestales; así como, el tráfico de madera y especies forestales. El volumen del tráfico de madera incautado en las tres sedes fiscales, supera las 625 134 pt (pies tablares) en lo que va del año. La especie tornillo es la más afectada que, ocupa el primer lugar. La fiscalía de Yurimaguas realizó 80 operativos. La fiscalía de Juanjuí presenta 43 sentencias con pena privativa de la libertad por tráfico de madera y especies forestales. Existen casos investigados y con sentencias efectivas concluyéndose que "más es mejor"; por otro lado, el volumen de madera incautada y las sentencias suspendidas, concluye que, "menos es mejor".

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“…Despite the good quality of tropical Amazon wood for log production, processing and commercialization are concentrated in a small group of species, which have greater commercial value. This fact puts pressure on these already consolidated species, and as an example, 54% of the total wood sold in Brazil in the period from 2012 to 2016 came from only 20 species (Brandes et al 2020). Among these species, Dinizia excelsa Ducke, Hymenolobium heterocarpum Ducke, Dipteryx odorata (Aubl.)…”

Section: Introductionmentioning

confidence: 99%

Quality of raw material and yield of exported sawn wood in the rational use of tropical timber from the Amazon

Stragliotto

Pereira

Oliveira

et al. 2023

Preprint

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The low sawn timber yield of tropical species is caused by quality of the logs, among other factors. The objective was to evaluate the quality of logs and the sawn wood yield for export of the tropical species Dinizia excelsa Ducke, Hymenolobium heterocarpum Ducke, Dipteryx odorata (Aubl.) Willd., Astronium lecointei Ducke and Qualea paraensis Ducke. The log quality parameters analyzed were conicity, flattening, curving, buttresses, cracks, heartwood percentage and net volume. After sawing, the sawn wood yield was determined. The values of conicity (0.92 cm.m− 1) and flattening (96%) did not differ between species. Qualea paraensis and Hymenolobium heterocarpum showed a better classification for curving. Astronium lecointei showed no buttresses. Qualea paraensis showed better classification for annular ring cracks and Dipteryx odorata for surface and diametrical cracks. Dipteryx odorata (86.75%) and Hymenolobium heterocarpum (82.4%) showed better results for heartwood percentage. Dinizia excelsa (90.1%), Dipteryx odorata (83.6%) and Hymenolobium heterocarpum (82.6%) logs showed higher net volume values. The yield of sawn timber for export differed between species and ranged from 23.9–40.2% for Dinizia excelsa and Qualea paraensis, respectively. There was variation in the quality of the logs and the yield of sawn timber for export due to the distinctive characteristics of the species evaluated.

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Endangered species account for 10% of Brazil’s documented timber trade

Cited by 22 publications

References 19 publications

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

Tráfico de madera y especies forestales en sedes fiscales ambientales de Moyobamba, Juanjuí y Yurimaguas, Perú 2022-2023

Quality of raw material and yield of exported sawn wood in the rational use of tropical timber from the Amazon

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