Climate Predicts Tree Dispersal Strategies Across Brazil's Ecosystems

IF 6.5 1区 环境科学与生态学 Q1 ECOLOGY
Fernanda C. Souza, Vinícius Andrade Maia, Renata Françoso, Matheus Coutinho Freitas de Oliveira, Ana Beatriz Ligo, Bruno X. Pinho, Jesús Aguirre-Gutiérrez, Martin Sullivan, Larissa Rocha-Santos, Laura de Brito Évora, Leonardo de Sousa Miranda, María Natalia Umaña, Pablo R. Stevenson, Paulo Amador Tavares, Adriane Esquivel-Muelbert, Alan Bernardes da Silveira, Ana Magalhães Cordeiro Teixeira, Ângelo Gilberto Manzatto, Átila Oliveira, Aurora Levesley, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, Carlos Joly, Carlos A. Peres, Carolina V. Castilho, Celice Alexandre Silva, Danielle Storck-Tonon, Domingos Cardoso, Domingos de Jesus Rodrigues, Dora M. Villela, Douglas C. Morton, Eddie Lenza de Oliveira, Edmar Almeida de Oliveira, Eduardo Hase, Eliana Ramos, Elmar Veenendaal, Erika Berenguer, Estelle Dugachard, Everton Almeida, Fabrício Alvim Carvalho, Fernanda Coelho de Souza, Fernando Elias, Filipe M. França, Flávia R. C. Costa, Flávia Delgado Santana, Flávia Rodrigues Barbosa, Foster Brown, Françoise Yoko Ishida, Frederico Augusto Guimarães Guilherme, Gabriel Damasco, Georgia Pickavance, Geraldo Wilson Fernandes, Haroldo Cavalcante de Lima, Helena Lemos Rocha, Henrique A. Mews, Iêda Leão do Amaral, Igor Broggio, Jarcilene Silva de Almeida, John E. B. L. Cunha, Jhonathan Oliveira Silva, Joice Ferreira, Jorcely G. Barroso, Jose Ataliba Mantelli Aboim Gomes, José Roberto Rodrigues Pinto, Juliana Schietti, Karina Melgaço, Laura B.Vedovato, Leandro V. Ferreira, Letícia Fernandes da Silva, Lilian Blanc, Lilian Gomes da Silva Rocha, Lola da Costa, Lucas José Mazzei de Freitas, Luciana F. Alves, Luciano Paganucci de Queiroz, Luiz E. O. C. Aragão, Magna Soelma Beserra de Moura, Maíra Benchimol, Marcelo Brilhante de Medeiros, Marcelo Fragomeni Simon, Marcelo T. Nascimento, Marcos José Salgado Vital, Marcos Silveira, Maria A. Carniello, Maria das Dores Magalhães Veloso, Mário Marcos do Espírito Santo, Maryane B. T. Andrade, Milton Serpa de Meira Junior, Nayane C. C. S. Prestes, Oliver L. Phillips, Patrícia Corrêa Guedes de Souza, Paulo Eduardo Barni, Paulo S. Morandi, Peter Moonlight, Philip Fearnside, Plinio Sist, Priscyla Maria Silva Rodrigues, Queila S. Garcia, Rafael F. Ramos, Rainiellen de Sá Carpanedo, Reinaldo Imbrozio Barbosa, Ricardo de Oliveira Perdiz, Richarlly da Costa Silva, Robson dos Santos Alves da Silva, Rodolfo Souza, Rubens Manoel dos Santos, Sabina Cerruto Ribeiro, Samuel de Padua Chaves e Carvalho, Sílvia da Luz Lima Mota, Simone Aparecida Vieira, Simone Matias de Almeida Reis, Ted R. Feldpausch, Tereza Sposito, Thaiane Rodrigues de Sousa, Thiago Metzker, Tiina Särkinen, Toby A. Garder, Toby Pennington, Tomas F. Domingues, Tony César de Sousa Oliveira, Vitor de Andrade Kamimura, Wendeson Castro, Wesley Jonatar Alves da Cruz, William E. Magnusson, Yadvinder Malhi, Yvonne V. Bakker, Jos Barlow
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Morton,&nbsp;Eddie Lenza de Oliveira,&nbsp;Edmar Almeida de Oliveira,&nbsp;Eduardo Hase,&nbsp;Eliana Ramos,&nbsp;Elmar Veenendaal,&nbsp;Erika Berenguer,&nbsp;Estelle Dugachard,&nbsp;Everton Almeida,&nbsp;Fabrício Alvim Carvalho,&nbsp;Fernanda Coelho de Souza,&nbsp;Fernando Elias,&nbsp;Filipe M. França,&nbsp;Flávia R. C. Costa,&nbsp;Flávia Delgado Santana,&nbsp;Flávia Rodrigues Barbosa,&nbsp;Foster Brown,&nbsp;Françoise Yoko Ishida,&nbsp;Frederico Augusto Guimarães Guilherme,&nbsp;Gabriel Damasco,&nbsp;Georgia Pickavance,&nbsp;Geraldo Wilson Fernandes,&nbsp;Haroldo Cavalcante de Lima,&nbsp;Helena Lemos Rocha,&nbsp;Henrique A. Mews,&nbsp;Iêda Leão do Amaral,&nbsp;Igor Broggio,&nbsp;Jarcilene Silva de Almeida,&nbsp;John E. B. L. Cunha,&nbsp;Jhonathan Oliveira Silva,&nbsp;Joice Ferreira,&nbsp;Jorcely G. Barroso,&nbsp;Jose Ataliba Mantelli Aboim Gomes,&nbsp;José Roberto Rodrigues Pinto,&nbsp;Juliana Schietti,&nbsp;Karina Melgaço,&nbsp;Laura B.Vedovato,&nbsp;Leandro V. Ferreira,&nbsp;Letícia Fernandes da Silva,&nbsp;Lilian Blanc,&nbsp;Lilian Gomes da Silva Rocha,&nbsp;Lola da Costa,&nbsp;Lucas José Mazzei de Freitas,&nbsp;Luciana F. Alves,&nbsp;Luciano Paganucci de Queiroz,&nbsp;Luiz E. O. C. Aragão,&nbsp;Magna Soelma Beserra de Moura,&nbsp;Maíra Benchimol,&nbsp;Marcelo Brilhante de Medeiros,&nbsp;Marcelo Fragomeni Simon,&nbsp;Marcelo T. Nascimento,&nbsp;Marcos José Salgado Vital,&nbsp;Marcos Silveira,&nbsp;Maria A. Carniello,&nbsp;Maria das Dores Magalhães Veloso,&nbsp;Mário Marcos do Espírito Santo,&nbsp;Maryane B. T. Andrade,&nbsp;Milton Serpa de Meira Junior,&nbsp;Nayane C. C. S. Prestes,&nbsp;Oliver L. Phillips,&nbsp;Patrícia Corrêa Guedes de Souza,&nbsp;Paulo Eduardo Barni,&nbsp;Paulo S. Morandi,&nbsp;Peter Moonlight,&nbsp;Philip Fearnside,&nbsp;Plinio Sist,&nbsp;Priscyla Maria Silva Rodrigues,&nbsp;Queila S. Garcia,&nbsp;Rafael F. Ramos,&nbsp;Rainiellen de Sá Carpanedo,&nbsp;Reinaldo Imbrozio Barbosa,&nbsp;Ricardo de Oliveira Perdiz,&nbsp;Richarlly da Costa Silva,&nbsp;Robson dos Santos Alves da Silva,&nbsp;Rodolfo Souza,&nbsp;Rubens Manoel dos Santos,&nbsp;Sabina Cerruto Ribeiro,&nbsp;Samuel de Padua Chaves e Carvalho,&nbsp;Sílvia da Luz Lima Mota,&nbsp;Simone Aparecida Vieira,&nbsp;Simone Matias de Almeida Reis,&nbsp;Ted R. Feldpausch,&nbsp;Tereza Sposito,&nbsp;Thaiane Rodrigues de Sousa,&nbsp;Thiago Metzker,&nbsp;Tiina Särkinen,&nbsp;Toby A. Garder,&nbsp;Toby Pennington,&nbsp;Tomas F. Domingues,&nbsp;Tony César de Sousa Oliveira,&nbsp;Vitor de Andrade Kamimura,&nbsp;Wendeson Castro,&nbsp;Wesley Jonatar Alves da Cruz,&nbsp;William E. Magnusson,&nbsp;Yadvinder Malhi,&nbsp;Yvonne V. Bakker,&nbsp;Jos Barlow","doi":"10.1111/geb.70285","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>We investigate the distribution of dispersal modes<b>—</b>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.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>Brazilian ecosystems (Amazon, Atlantic Forest, Cerrado and Caatinga).</p>\n </section>\n \n <section>\n \n <h3> Time Period</h3>\n \n <p>2004–2020.</p>\n </section>\n \n <section>\n \n <h3> Major Taxa Studied</h3>\n \n <p>Woody angiosperms, trees and shrubs.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Main Conclusions</h3>\n \n <p>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 services. Our results also highlight the critical role of plot-based datasets in improving our understanding of how environmental factors influence seed dispersal strategies across tropical ecosystems.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 7","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70285","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.70285","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

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 services. Our results also highlight the critical role of plot-based datasets in improving our understanding of how environmental factors influence seed dispersal strategies across tropical ecosystems.

Abstract Image

气候预测树木在巴西生态系统中的扩散策略
我们研究了木本植物在巴西生态系统中的传播模式——内源性(通过动物摄食)、同质性(通过动物种子积累)和风性(通过风)和种子质量的分布,并测试了它们在当地植物群落中的相对丰度是否可以通过气候、土壤因素和传播媒介(例如,传播种子的主要媒介)来预测。我们预计气候是扩散策略丰度的主要预测因子。定位巴西生态系统(亚马逊、大西洋森林、塞拉多和卡廷加)。时间:2004-2020年。主要分类群研究木本被子植物、乔木和灌木。方法在300个原生地和非淹水样地内,测定了1984种的种子质量和2203种的传播方式。我们采用随机森林回归来评估水分有效性、温度季节性、土壤肥力、风和食果灵长类动物对群落加权种子质量和传播模式的影响。我们绘制了预测图,并估计了适用区域,以确定预测可靠的区域。结果气候是影响树木扩散策略的主要因素,其次是扩散因子和土壤性质。在水分有效度高、日温差大的湿润地区,内生虫普遍存在。风速在水分有效度低、风力强、日温差大的干燥地区更为常见,而同期在低温季节性地区更为丰富。较重的种子在季节温度较低、日温差较小和风力较弱的地区更为普遍。气候是植物分布和流行的关键预测因子,具有不同的传播方式和种子质量。因此,我们期望对环境变化的功能反应与分散策略的相对丰度的变化有关,并对生态系统服务产生影响。我们的研究结果还强调了基于地块的数据集在提高我们对环境因素如何影响热带生态系统种子传播策略的理解方面的关键作用。
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来源期刊
Global Ecology and Biogeography
Global Ecology and Biogeography 环境科学-生态学
CiteScore
12.10
自引率
3.10%
发文量
170
审稿时长
3 months
期刊介绍: Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
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