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ARBOLES: a trait-based understanding of LATAM forest biodiversity and resilience

Grant number: 18/15001-6
Support type:Regular Research Grants
Duration: March 01, 2019 - February 28, 2022
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Cooperation agreement: Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) ; Concytec ; CONICET ; NERC, UKRI ; Newton Fund - LATAM ; Newton Fund, with FAPESP as a partner institution in Brazil
Principal Investigator:Luiz Eduardo Oliveira e Cruz de Aragão
Grantee:Luiz Eduardo Oliveira e Cruz de Aragão
Principal investigator abroad: David Robert Galbraith
Institution abroad: University of Leeds, England
Principal investigator abroad: Sandra Díaz
Institution abroad: Universidad Nacional de Córdoba (UNC), Argentina
Principal investigator abroad: Antonio Lara
Institution abroad: Universidad Austral de Chile (UACh), Chile
Principal investigator abroad: Eurídice Honorio Coronado
Institution abroad: Instituto de Investigaciones de la Amazonía Peruana (IIAP), Peru
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Assoc. researchers:Fabien Hubert Wagner
Associated scholarship(s):19/09248-1 - Using deep-learning convolutional network for estimating canopy traits from high-resolution imagery, BP.TT


Latin American (LATAM) forests from Brazil, Peru, Argentina and Chile are global epicentres of biological and environmental diversity. LATAM forests are home of Earth's poorest and most vulnerable people and are highly threatened by local anthropogenic disturbance and global environmental change. ARBOLES aims to improve our understanding of LATAM forest response to anthropogenic disturbance and environmental change, by integrating established forest inventory surveys with cutting-edge functional trait, genomics, experimental, computational and remote sensing approaches. Anthropogenic disturbances include deforestation, within-forest disturbance such as logging or wildfires, and defaunation. There are considerable opportunities for active restoration and enrichment of degraded land, evidenced by the Brazilian government's pledge to re-forest 12 million hectares by 2030, with a substantial reforestation commitment also made by Chile. LATAM forests are also affected by rapid global environmental change, including temperature rise (0.5 °C/decade) in some regions and droughts, causing widespread increases in forest fires. Therefore, ARBOLES will test the overarching hypothesis that plant traits determine (i) biodiversity patterns, (ii) temporal responses to global environmental change, (iii) regeneration success along gradients of anthropogenic influence, and (iv) performance of species in restoration projects. These hypotheses will be tested following five objectives. Objective 1 (O1) quantifies functional trait patterns across LATAM forests. Objective 2 (O2) assesses the trait basis of temporal changes in old-growth LATAM forests, linking these to global environmental change. Objective 3 (O3) examines whether there are predictable changes in the mean trait values of regenerating trees along gradients of forest loss, edge effects, and defaunation. Objective 4 (O4) evaluates the capacity of functional traits to inform management decisions in an applied context (forest restoration practice and planting/harvesting of commercially important taxa). Objective 5 (O5) provides scaled-up knowledge of trait variation in space and time by combining high and moderate spatial resolution remote sensing (RS) derived information with emergent computational processing methods and field-based trait data (O1-3). The outputs of this project will provide insights into the four main themes of the call, helping LATAM countries to manage natural capital in terms of biodiversity, carbon and other ecosystems services as well as to achieve critical Sustainable Development Goals. (AU)

Articles published in other media outlets (4 total):
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Two-Thirds of Tropical Forests ‘Under Threat in Next Decade’ 
Two-Thirds of Tropical Forests ‘Under Threat in Next Decade’ 
Projetos colaborativos buscam compreender papel da biodiversidade na América Latina 
Projetos colaborativos buscam compreender papel da biodiversidade na América Latina 

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BRAGA, JOSE R. G.; PERIPATO, VINICIUS; DALAGNOL, RICARDO; FERREIRA, MATHEUS P.; TARABALKA, YULIYA; ARAGAO, LUIZ E. O. C.; DE CAMPOS VELHO, HAROLDO E.; SHIGUEMORI, ELCIO H.; WAGNER, FABIEN H. Tree Crown Delineation Algorithm Based on a Convolutional Neural Network. REMOTE SENSING, v. 12, n. 8 APR 2 2020. Web of Science Citations: 1.

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