Stryphnodendron pulcherrimum is a species used medicinally among traditional Amazonian communities for its bactericidal activity and anti-inflammatory properties. Despite being adapted to rustic environments, there is no information regarding how climate change might affect the species occurrence. The present study aimed to evaluate the natural distribution of S. pulcherrimum in the current period and how its potential geographic distribution may be affected in response to future climate change scenarios in Brazilian phytogeographic domains. A total of 19 bioclimatic variables were used from the WorldClim database. Four algorithm models (Climate Space Model, Envelope Score, Niche Mosaic and Environmental Distance - present) and one software (Open Modeller - future) were used to verify the potential occurrence of S. pulcherrimum in five Brazilian domains (Amazon, Cerrado, Caatinga, Atlantic Forest and Pantanal) and three intervals (2009-2019 - present; 2020-2050 and 2051-2070 - future). There were losses of areas favorable to the occurrence of S. pulcherrimum in the Amazon, Cerrado and Pantanal, and global climate change may affect its natural distribution especially in the Atlantic Forest and Amazon. In the Amazon, the species may be totally extinct, in the worst scenario, by 2070.

Euterpe precatória Mart. (açaí-do-amazonas) and Euterpe oleracea Mart. (açaí-do-pará) are palm trees of socioeconomic importance to Brazil, and fruit demand has increased due to its nutritional characteristics. This study aimed to evaluate the effect of global climate change on the current geographic distribution of E. precatória and E. oleracea and in future climate scenarios using the ecological niche modeling in the scope of Brazilian territories. The modelings used 28 environmental variables, including climatic and edaphic data. The current distribution was verified for the reference period (2009-2019) and future projections were evaluated in two scenarios (Shared Socioeconomic Pathways - SSP): SSP 245 (less pessimistic) and SSP 585 (more pessimistic), in the time interval of 2061-2080. All algorithms presented satisfactory evaluation indexes. Euterpe precatória has a predominant geographic distribution in the Amazon domain, while E. oleracea has potential occurrence in three Brazilian phytogeographic domains: Amazon, Cerrado and Atlantic Forest. Euterpe oleracea showed to be more sensitive to climate change in both scenarios, while E. precatoria was more resilient up to a certain level of temperature increase (SSP 245).

The simultaneous analysis of the maximum number of chemical elements present in plant tissues provides more comprehensive information about their chemical constitution and increases the number of characteristics for the selection process in various plant breeding programs. The objective of this study was to analyze productivity, grain yield, and concentration of chemical elements in tissues of Coffea canephora clones to study phenotypic diversity and estimate genetic parameters for use in breeding. This experiment was carried out in Manaus, Amazonas, Brazil, in randomized blocks with four replications. The concentrations of elements in various organs were quantified using total reflection X-ray fluorescence (TXRF). Genetic parameters and genetic divergence were estimated, and genotypes were clustered using the UPGMA hierarchical method and non-metric multidimensional scaling analysis. The study allowed us to differentiate the performance of the clones in terms of the absorption of essential and non-essential chemical elements for plant development and to analyze the correlation of the characteristics in the selection process. TXRF efficiently characterizes the presence and concentration of multiple elements, aiding genotype discrimination for C. canephora improvement.

Astrocaryum aculeatum Mart. Moreover, Astrocaryum acaule Mart. are palm trees with ecological and extractive importance in the Amazon. These are hearty species that have been associated with archaeological sites and thrive in the presence of humans in certain areas. This work aimed to verify the effect of global climate change on the potential geographic distribution of A. acaule and A. aculeatum in the current period and future climate scenarios using ecological niche modeling in Brazilian phytogeographic domains. The modeling was based on 19 bioclimatic variables obtained from the Worldclim website and four algorithms (Climate space model, Envelope Score, Niche Mosaic, and Environmental Distance). Additionally, the Environmental Distance algorithm showed greater similarity regarding species distribution with potential occurrence in the five Brazilian domains (Amazon, Pantanal, Caatinga, Cerrado, and Atlantic Forest). The dispersion patterns were very similar between the two Astrocaryum palms though A. aculeatum was more sensitive to climatic variations. A. acaule may be more resilient to changes, as demonstrated by being able to recolonize in the southern portion of the Amazon in future scenarios in the year 2070. The modeling helped to delimit potential areas for A. aculeatum and A. acaule, indicating the need for the conservation of the species in more sensitive regions.

Urena lobata L. is a commercial species used for fiber extraction in the Brazilian states of Amazonas and Pará that presents relevant socioeconomic importance for the Amazon region. Despite its importance and wide distribution throughout Brazil, there are no data on the species response to global climate change. This study aimed to present the potential geographical distribution of U. lobata in the current period (2009-2019) and predict areas of climatic suitability for its occurrence in two future scenarios (RCP 4.5 and RCP 8.5), at two time intervals (2020-2050 and 2051-2070), in the face of global climate change. A total of 19 bioclimatic variables were obtained from the WorldClim database and four algorithms (Climate Space Model, Envelope Score, Niche Mosaic and Environmental Distance), from which the Envelope Score was the most representative model for the species to verify its occurrence along the Brazilian phytogeographic domains (Amazon, Caatinga, Cerrado, Pantanal, Atlantic Forest and Pampa). Vulnerability was observed for the species, since there were losses of favorable areas in the Amazon, Pantanal, Atlantic Forest, Cerrado and Caatinga, becoming practically extinct in the worst scenario (RCP 8.5), in the year 2070. However, for this same scenario and year, there was a significant area increase in the Pampa.

The perpetuation and evolution of vegetal species can be impacted by climatic changes, and the projection of edaphoclimatic adaptation areas can be studied through ecological modeling. This study aimed to predict the distribution of Theobroma cacao L. (the cacao tree) and Theobroma grandiflorum (Willd. ex Spreng.) K. Schum (the cupuaçu tree) under current and future scenarios to identify areas suitable for environmental adaptation, conservation, and sustainable use. Ecological niche modeling was applied using 33 environmental variables. Results indicated that the cupuaçu tree is more vulnerable to climatic variations, with projections showing a relevant reduction in suitable areas in the Cerrado and Amazon. In contrast, the cacao tree demonstrated greater resilience, with potential expansion into areas such as the Pampa and Atlantic Forest. The modeling confirmed that climatic changes will negatively impact both species, with the cupuaçu tree facing higher susceptibility to loss of suitable areas, while the cacao tree may expand into new territories with appropriate environmental conditions. The study underscores the need for conservation efforts and sustainable use to contribute to the perpetuation of species, drawing from the wisdom of Indigenous peoples.