Advanced search
Start date
Betweenand

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

Abstract

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 (25 total):
More itemsLess items
Health Medicine Network (EUA): Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (27/Oct/2020)
Xsjk (China): 在33年中 再生森林抵消了巴西亚马逊地区12%的碳排放量 (27/Oct/2020)
Phys.Org (Reino Unido): Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (26/Oct/2020)
QNewsHub (Índia): Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (26/Oct/2020)
Environmental News Network (EUA): Regenerated Forests Offset 12% of Carbon Emissions Due to Deforestation in Brazilian Amazon in 33 Years (23/Oct/2020)
Bioengineer (Reino Unido): Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (23/Oct/2020)
Science Codex: Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (23/Oct/2020)
Mother Nature: Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (23/Oct/2020)
Scienmag Science Magazine (Reino Unido): Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (23/Oct/2020)
7thSpace: Regenerated forests offset 12% of carbon emissions in Brazilian Amazon in 33 years (23/Oct/2020)
Portal Macaúba: Regeneração de floresta é importante sumidouro de carbono (22/Oct/2020)
Ciência e Clima: Regeneração de floresta é importante sumidouro de carbono (21/Oct/2020)
Jornal de Boas Notícias: Florestas regeneradas compensaram 12% das emissões por desmatamento na Amazônia (06/Oct/2020)
Remade - Porto Nacional da Madeira: Florestas regeneradas compensaram 12 por cento das emissões por desmatamento na Amazônia (26/Sep/2020)
Dom Total: Florestas regeneradas compensaram 12% das emissões por desmatamento na Amazônia (26/Sep/2020)
Instituto Humanitas Unisinos: Florestas secundárias são importantes na captura de carbono (24/Sep/2020)
Portal Macaúba: Florestas secundárias são importantes na captura de carbono (24/Sep/2020)
EcoDebate: Florestas secundárias são importantes na captura de carbono (23/Sep/2020)
Ciclo Vivo: Florestas regeneradas compensaram 12% das emissões por desmatamento na Amazônia (23/Sep/2020)
Ecoamazônia: Florestas regeneradas compensaram 12% das emissões de carbono por desmatamento na Amazônia, diz estudo (23/Sep/2020)
Jornal da Ciência online: Florestas regeneradas compensaram 12% das emissões de carbono por desmatamento na Amazônia, diz estudo (22/Sep/2020)
Mundo e Meio: Florestas regeneradas compensaram 12% das emissões de carbono por desmatamento na Amazônia, diz estudo (22/Sep/2020)
Brasil Amazônia Agora: Florestas regeneradas compensaram 12% das emissões de carbono por desmatamento na Amazônia, diz estudo. (22/Sep/2020)
Human Wrongs Watch (Espanha): Two-Thirds of Tropical Forests ‘Under Threat in Next Decade’ (01/Jun/2020)
SciDev.Net (Reino Unido): Two-Thirds of Tropical Forests ‘Under Threat in Next Decade’ (29/May/2020)

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)
SILVA JUNIOR, CELSO H. L.; HEINRICH, VIOLA H. A.; FREIRE, ANA T. G.; BROGGIO, IGOR S.; ROSAN, THAIS M.; DOBLAS, JUAN; ANDERSON, LIANA O.; ROUSSEAU, GUILLAUME X.; SHIMABUKURO, YOSIO E.; SILVA, CARLOS A.; HOUSE, JOANNA I.; ARAGAO, LUIZ E. O. C. Benchmark maps of 33 years of secondary forest age for Brazil. SCIENTIFIC DATA, v. 7, n. 1 AUG 14 2020. Web of Science Citations: 1.
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.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.