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Putting seedlings on the map: Trade-offs in demographic rates between ontogenetic size classes in five tropical forests

  • Stephan Kambach*
  • , Helge Bruelheide
  • , Liza S. Comita
  • , Richard Condit
  • , S. Joseph Wright
  • , Salomón Aguilar
  • , Chia Hao Chang-Yang
  • , Yu Yun Chen
  • , Nancy C. Garwood
  • , Stephen P. Hubbell
  • , Pei Jen Luo
  • , Margaret R. Metz
  • , Musalmah Bt Nasardin
  • , Rolando Pérez
  • , Simon A. Queenborough
  • , I. Fang Sun
  • , Nathan G. Swenson
  • , Jill Thompson
  • , María Uriarte
  • , Renato Valencia
  • Tze Leong Yao, Jess K. Zimmerman, Nadja Rüger
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

All species must partition resources among the processes that underly growth, survival, and reproduction. The resulting demographic trade-offs constrain the range of viable life-history strategies and are hypothesized to promote local coexistence. Tropical forests pose ideal systems to study demographic trade-offs as they have a high diversity of coexisting tree species whose life-history strategies tend to align along two orthogonal axes of variation: a growth–survival trade-off that separates species with fast growth from species with high survival and a stature–recruitment trade-off that separates species that achieve large stature from species with high recruitment. As these trade-offs have typically been explored for trees ≥1 cm dbh, it is unclear how species' growth and survival during earliest seedling stages are related to the trade-offs for trees ≥1 cm dbh. Here, we used principal components and correlation analyses to (1) determine the main demographic trade-offs among seed-to-seedling transition rates and growth and survival rates from the seedling to overstory size classes of 1188 tree species from large-scale forest dynamics plots in Panama, Puerto Rico, Ecuador, Taiwan, and Malaysia and (2) quantify the predictive power of maximum dbh, wood density, seed mass, and specific leaf area for species' position along these demographic trade-off gradients. In four out of five forests, the growth–survival trade-off was the most important demographic trade-off and encompassed growth and survival of both seedlings and trees ≥1 cm dbh. The second most important trade-off separated species with relatively fast growth and high survival at the seedling stage from species with relatively fast growth and high survival ≥1 cm dbh. The relationship between seed-to-seedling transition rates and these two trade-off aces differed between sites. All four traits were significant predictors for species' position along the two trade-off gradients, albeit with varying importance. We concluded that, after accounting for the species' position along the growth–survival trade-off, tree species tend to trade off growth and survival at the seedling with later life stages. This ontogenetic trade-off offers a mechanistic explanation for the stature–recruitment trade-off that constitutes an additional ontogenetic dimension of life-history variation in species-rich ecosystems.

Original languageEnglish
Article numbere4527
JournalEcology
Volume106
Issue number1
DOIs
StatePublished - Jan 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.

Funding

We are indebted to all the people involved in the establishment and ongoing measurement at the ForestGEO research sites. We would like to acknowledge the general support from the Forest Global Earth Observatory (ForestGEO), the Center for Tropical Forest Science and the Smithsonian Tropical Research Institute in Panama, the Japan Society for the Promotion of Science (JSPS), the National Science Foundation (NSF), the National Geographic Society (NGS), and the Conservation, Food and Health Foundation (CFHF). The work of Stephan Kambach was funded by the iDiv-Flexpool—the internal funding mechanism of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, a research center of the German Research Foundation (DFG—FZT 118) and by the 2019–2020 BiodivERsA joint call for research proposals, under the BiodivClim ERA-Net COFUND program with the funding organizations Swiss National Science Foundation SNF (FeedBaCks 193907), Agence Nationale de la Recherche (ANR-20-EBI5-0001-05), the German Research Foundation (DFG BR 1698/21-1, DFG HI 1538/16-1), and the Technology Agency of the Czech Republic (SS70010002). Stephan Kambach acknowledges the support of the Smithsonian Tropical Research Institute to attend the ForestGEO analytical workshop in 2018 and 2019. The BCI forest dynamics research project (Condit, 1998; Condit et al., 2019; Hubbell et al., 1999) was founded by S.P. Hubbell and R.B. Foster and is now managed by R. Condit, S. Lao, and R. Perez. Numerous organizations have provided funding, principally the U.S. National Science Foundation (NSF). Seedling data collection in the BCI plot were funded by multiple NSF LTREB grants (DEB 0075102, DEB 0823728, DEB 0640386, DEB 1242622, and DEB 1464389). The Fushan forest dynamics plot (Su, 2007) is supported by the Taiwan Forestry Bureau, the Taiwan Forestry Research Institute and the Ministry of Science and Technology of Taiwan. We also thank the staff at Fushan Research Center for providing logistic support. The Luquillo forest dynamics plot was supported by grants BSR-8811902, DEB 9411973, DEB 0080538, DEB 0218039, DEB 0620910, DEB 0963447, and DEB-129764 from the NSF to the Department of Environmental Science, University of Puerto Rico, and to the International Institute of Tropical Forestry, USDA Forest Service, as part of the Luquillo Long-Term Ecological Research Program. The U.S. Forest Service (Dept. of Agriculture), and the University of Puerto Rico, Andrew W. Mellon foundation, and Smithsonian Tropical research Institute gave additional support. Data from the Pasoh Forest Reserve (Manokaran et al., 2004) were provided by the Forest Research Institute Malaysia and research was supported by the Negeri Sembilan State Forestry Department. The Yasuní forest dynamics plot was supported by the Pontifical Catholic University of Ecuador (Donaciones del Impuesto a la Renta from the government of Ecuador and PUCE grants L13251, M13373 in recent years). The Yasuní Scientific Station offered logistic support and the continuous research is endorsed by the Ministerio de Ambiente del Ecuador through several research permits (permits: No. 002-015-IC-FLO-PNY-DPAO, No. 025-2016-IC-FAU-FLODPAO-PNY, and No. 007-2018-IC-PNY-DPAO/AVS to Renato Valencia). Open Access funding enabled and organized by Projekt DEAL. We are indebted to all the people involved in the establishment and ongoing measurement at the ForestGEO research sites. We would like to acknowledge the general support from the Forest Global Earth Observatory (ForestGEO), the Center for Tropical Forest Science and the Smithsonian Tropical Research Institute in Panama, the Japan Society for the Promotion of Science (JSPS), the National Science Foundation (NSF), the National Geographic Society (NGS), and the Conservation, Food and Health Foundation (CFHF). The work of Stephan Kambach was funded by the iDiv‐Flexpool—the internal funding mechanism of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, a research center of the German Research Foundation (DFG—FZT 118) and by the 2019–2020 BiodivERsA joint call for research proposals, under the BiodivClim ERA‐Net COFUND program with the funding organizations Swiss National Science Foundation SNF (FeedBaCks 193907), Agence Nationale de la Recherche (ANR‐20‐EBI5‐0001‐05), the German Research Foundation (DFG BR 1698/21‐1, DFG HI 1538/16‐1), and the Technology Agency of the Czech Republic (SS70010002). Stephan Kambach acknowledges the support of the Smithsonian Tropical Research Institute to attend the ForestGEO analytical workshop in 2018 and 2019. The BCI forest dynamics research project (Condit, 1998 ; Condit et al., 2019 ; Hubbell et al., 1999 ) was founded by S.P. Hubbell and R.B. Foster and is now managed by R. Condit, S. Lao, and R. Perez. Numerous organizations have provided funding, principally the U.S. National Science Foundation (NSF). Seedling data collection in the BCI plot were funded by multiple NSF LTREB grants (DEB 0075102, DEB 0823728, DEB 0640386, DEB 1242622, and DEB 1464389). The Fushan forest dynamics plot (Su, 2007 ) is supported by the Taiwan Forestry Bureau, the Taiwan Forestry Research Institute and the Ministry of Science and Technology of Taiwan. We also thank the staff at Fushan Research Center for providing logistic support. The Luquillo forest dynamics plot was supported by grants BSR‐8811902, DEB 9411973, DEB 0080538, DEB 0218039, DEB 0620910, DEB 0963447, and DEB‐129764 from the NSF to the Department of Environmental Science, University of Puerto Rico, and to the International Institute of Tropical Forestry, USDA Forest Service, as part of the Luquillo Long‐Term Ecological Research Program. The U.S. Forest Service (Dept. of Agriculture), and the University of Puerto Rico, Andrew W. Mellon foundation, and Smithsonian Tropical research Institute gave additional support. Data from the Pasoh Forest Reserve (Manokaran et al., 2004 ) were provided by the Forest Research Institute Malaysia and research was supported by the Negeri Sembilan State Forestry Department. The Yasuní forest dynamics plot was supported by the Pontifical Catholic University of Ecuador (Donaciones del Impuesto a la Renta from the government of Ecuador and PUCE grants L13251, M13373 in recent years). The Yasuní Scientific Station offered logistic support and the continuous research is endorsed by the Ministerio de Ambiente del Ecuador through several research permits (permits: No. 002‐015‐IC‐FLO‐PNY‐DPAO, No. 025‐2016‐IC‐FAU‐FLODPAO‐PNY, and No. 007‐2018‐IC‐PNY‐DPAO/AVS to Renato Valencia). Open Access funding enabled and organized by Projekt DEAL.

FundersFunder number
Luquillo Long-Term Ecological Research Program
National Geographic Society
National Science Foundation
Pasoh Forest Reserve
Japan Society for the Promotion of Science
Negeri Sembilan State Forestry Department
Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig
Institut Penyelidikan Perhutanan Malaysia
Center for Tropical Forest Science
Andrew W. Mellon Foundation
Conservation, Food and Health Foundation
Taiwan Forestry Research Institute
U.S. Forest Service
Universidad de Puerto Rico
German Centre for Integrative Biodiversity Research
Smithsonian Tropical Research Institute in Panama
Taiwan Forestry Bureau
Food and Health Foundation
International Institute of Tropical Forestry
Deutsche ForschungsgemeinschaftDFG—FZT 118, BR 1698/21‐1, HI 1538/16‐1
Agence Nationale de la RechercheANR‐20‐EBI5‐0001‐05
Ministerio del Ambiente, Agua y Transición Ecológica025‐2016‐IC‐FAU‐FLODPAO‐PNY, 007‐2018‐IC‐PNY‐DPAO/AVS, 002‐015‐IC‐FLO‐PNY‐DPAO
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung193907
Pontifical Catholic University of EcuadorL13251, M13373
Technology Agency of the Czech RepublicSS70010002
Smithsonian Tropical Research InstituteDEB 1242622, DEB 1464389, DEB 0640386, DEB 0823728, DEB 0075102
Ministry of Science and Technology, TaiwanDEB 0218039, DEB 9411973, DEB 0963447, DEB 0080538, DEB 0620910, BSR‐8811902, DEB‐129764

    Keywords

    • Barro Colorado Island
    • ForestGeo forest dynamics plot
    • Fushan
    • Luquillo
    • Pasoh
    • Yasuní
    • life-history strategy
    • seed size
    • species coexistence

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