BibTex format
@article{Souza:2026:10.1111/geb.70285,
author = {Souza, FC and Maia, VA and Françoso, R and de, Oliveira MCF and Ligo, AB and Pinho, BX and Aguirre-Gutiérrez, J and Sullivan, M and Rocha-Santos, L and de, Brito Évora L and de, Sousa Miranda L and Umaña, MN and Stevenson, PR and Tavares, PA and Esquivel-Muelbert, A and da, Silveira AB and Teixeira, AMC and Manzatto, ÂG and Oliveira, Á and Levesley, A and Marimon, BS and Junior, BHM and Joly, C and Peres, CA and Castilho, CV and Silva, CA and Storck-Tonon, D and Cardoso, D and de, Jesus Rodrigues D and Villela, DM and Morton, DC and de, Oliveira EL and de, Oliveira EA and Hase, E and Ramos, E and Veenendaal, E and Berenguer, E and Dugachard, E and Almeida, E and Carvalho, FA and de, Souza FC and Elias, F and França, FM and Costa, FRC and Santana, FD and Barbosa, FR and Brown, F and Ishida, FY and Guilherme, FAG and Damasco, G and Pickavance, G and Fernandes, GW and de, Lima HC and Rocha, HL and Mews, HA and do, Amaral IL and Broggio, I and de, Almeida JS and Cunha, JEBL and Silva, JO a},
doi = {10.1111/geb.70285},
journal = {Global Ecology and Biogeography},
title = {Climate Predicts Tree Dispersal Strategies Across Brazil's Ecosystems},
url = {http://dx.doi.org/10.1111/geb.70285},
volume = {35},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Aim: We investigate the distribution of dispersal modes—endozoochory (via animal ingestion), synzoochory (via animal seed accumulation) and anemochory (via wind)—and seed mass of woody plants across Brazilian ecosystems, testing whether their relative abundance in local plant communities could be predicted by climate, edaphic factors and dispersal agents (e.g., the main vectors moving seeds). We expected climate to be the main predictor of dispersal strategy abundance. Location: Brazilian ecosystems (Amazon, Atlantic Forest, Cerrado and Caatinga). Time Period: 2004–2020. Major Taxa Studied: Woody angiosperms, trees and shrubs. Methods: We assigned seed mass to 1984 species and dispersal mode to 2203 species within 300 old-growth and non-flooded plots. We employed Random Forest regressions to assess the influence of water availability, temperature seasonality, soil fertility, wind and frugivorous primates on the community-weighted means of seed mass and dispersal modes. We mapped predictions and estimated the area of applicability to identify regions where predictions were reliable. Results: Climate was the main factor predicting tree dispersal strategies, followed by dispersal agents or soil properties. Endozoochory was prevalent in wetter regions with high water availability and greater diurnal temperature range. Anemochory was more common in drier regions with low water availability, stronger winds and greater diurnal temperature range, whereas synzoochory was more abundant in areas with low temperature seasonality. Heavier seeds were more prevalent in regions with less seasonal temperatures, smaller diurnal temperature ranges and weaker winds. Main Conclusions: Climate is a key predictor of the distribution and prevalence of plants with contrasting dispersal modes and seed masses. We thus expect functional responses to environmental change associated with shifts in the relative abundance of dispersal strategies, with implications for ecosystem s
AU - Souza,FC
AU - Maia,VA
AU - Françoso,R
AU - de,Oliveira MCF
AU - Ligo,AB
AU - Pinho,BX
AU - Aguirre-Gutiérrez,J
AU - Sullivan,M
AU - Rocha-Santos,L
AU - de,Brito Évora L
AU - de,Sousa Miranda L
AU - Umaña,MN
AU - Stevenson,PR
AU - Tavares,PA
AU - Esquivel-Muelbert,A
AU - da,Silveira AB
AU - Teixeira,AMC
AU - Manzatto,ÂG
AU - Oliveira,Á
AU - Levesley,A
AU - Marimon,BS
AU - Junior,BHM
AU - Joly,C
AU - Peres,CA
AU - Castilho,CV
AU - Silva,CA
AU - Storck-Tonon,D
AU - Cardoso,D
AU - de,Jesus Rodrigues D
AU - Villela,DM
AU - Morton,DC
AU - de,Oliveira EL
AU - de,Oliveira EA
AU - Hase,E
AU - Ramos,E
AU - Veenendaal,E
AU - Berenguer,E
AU - Dugachard,E
AU - Almeida,E
AU - Carvalho,FA
AU - de,Souza FC
AU - Elias,F
AU - França,FM
AU - Costa,FRC
AU - Santana,FD
AU - Barbosa,FR
AU - Brown,F
AU - Ishida,FY
AU - Guilherme,FAG
AU - Damasco,G
AU - Pickavance,G
AU - Fernandes,GW
AU - de,Lima HC
AU - Rocha,HL
AU - Mews,HA
AU - do,Amaral IL
AU - Broggio,I
AU - de,Almeida JS
AU - Cunha,JEBL
AU - Silva,JO
AU - Ferreira,J
AU - Barroso,JG
AU - Gomes,JAMA
AU - Pinto,JRR
AU - Schietti,J
AU - Melgaço,K
AU - BVedovato,L
AU - Ferreira,LV
AU - da,Silva LF
AU - Blanc,L
AU - da,Silva Rocha LG
AU - da,Costa L
AU - de,Freitas LJM
AU - Alves,LF
AU - de,Queiroz LP
AU - Aragão,LEOC
AU - de,Moura MSB
AU - Benchimol,M
AU - de,Medeiros MB
AU - Simon,MF
AU - Nascimento,MT
AU - Vital,MJS
AU - Silveira,M
AU - Carniello,MA
AU - das,Dores Magalhães Veloso M
AU - do,Espírito Santo MM
AU - Andrade,MBT
AU - de,Meira Junior MS
AU - Prestes,NCCS
AU - Phillips,OL
AU - de,Souza PCG
AU - Barni,PE
AU - Morandi,PS
AU - Moonlight,P
AU - Fearnside,P
AU - Sist,P
AU - Rodrigues,PMS
AU - Garcia,QS
AU - Ramos,RF
AU - de,Sá Carpanedo R
DO - 10.1111/geb.70285
PY - 2026///
SN - 1466-822X
TI - Climate Predicts Tree Dispersal Strategies Across Brazil's Ecosystems
T2 - Global Ecology and Biogeography
UR - http://dx.doi.org/10.1111/geb.70285
VL - 35
ER -