Journal of Environmental ManagementEcologyPeer-reviewed journal article
Warmer climate threatens the occurrence of giant trees in the Amazon basin
Róbson Borges de LimaiD, Cinthia Pereira de OliveiraiD, Diego Armando S. da Silva, Daniela Granato‐SouzaiD, Lorrayne Aparecida GonçalvesiD, Caroline C. VasconcelosiD, Anderson Pedro B. Batista, João Ramos de Matos Filho, Joselane P. Gomes da Silva, Perseu da Silva AparícioiD, Carla S. Campelo de Souza, Jadson Coelho de AbreuiD, Iran Jorge Corrêa LopesiD, Jean Pierre OmettoiD, Eric Bastos GörgensiD
Abstract
Giant trees in the Amazon play crucial ecological roles by acting as substantial carbon sinks and supporting diverse forest ecosystems. However, these emergent trees are increasingly vulnerable to climatic changes, and recent research suggests that the distribution and niche of many emergent species are severely threatened. This study employs ecological niche modeling using data LiDAR and forest inventory, global repository data, and bioclimatic variables to project the potential larger tree distributions under past, current, and future climate scenarios (SSP1-2.6 and SSP5-8.5) in different biogeographic provinces in the Amazon basin. We used algorithms MARS, RandomForest, MaxEnt, and GAM to assess the impact of critical climatic factors, including isothermality, maximum temperatures, and precipitation patterns, on the habitat suitability of these larger trees and species Dinizia excelsa and Goupia glabra. Our results show that the tall trees dataset, Dinizia excelsa and Goupia glabra exhibit congruent distinct responses to climate variables, with Dinizia excelsa being more sensitive to increased temperature extremes, particularly in the Guiana Shield and Roraima Provinces. In contrast, Goupia glabra displays a broader tolerance to precipitation variability. Under the high-emission scenario (SSP5-8.5), both species are projected to lose up to 45% of their suitable habitats by 2080, primarily in southern Amazon provinces like Xingu-Tapajos, where increased drought frequency and temperature extremes are expected. Conversely, the low-emission scenario (SSP1-2.6) suggests potential habitat stability or even slight expansions in the northern Amazon regions due to moderate temperature and rainfall conditions. These findings highlight the urgent need for conservation strategies to protect critical refugia and enhance ecosystem resilience. By integrating niche modeling with climate projections, our study provides vital insights into managing Amazonian giant trees, emphasizing their potential role in mitigating global climate change impacts.
- research focus: ecology & biodiversity
- research focus: clustering
- research focus: spatial domain detection
- research focus: benchmarking
- approach: statistical model
- Citations
- 2
- FWCI
- 27.42
- Field percentile
- top 1%
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