Forest Age Rivals Climate to Explain Reproductive Allocation Patterns in Forest Ecosystems Globally
| dc.contributor.affiliation | Pontificia Universidad Católica del Perú. Departamento de Ingeniería | |
| dc.contributor.author | Ward, R.E. | |
| dc.contributor.author | Zhang-Zheng, H. | |
| dc.contributor.author | Abernethy, K. | |
| dc.contributor.author | Adu-Bredu, S. | |
| dc.contributor.author | Arroyo, L. | |
| dc.contributor.author | Bailey, A. | |
| dc.contributor.author | Barlow, J. | |
| dc.contributor.author | Berenguer, E. | |
| dc.contributor.author | Chesini-Rossi, L. | |
| dc.contributor.author | Cho, P. | |
| dc.contributor.author | Dahlsjö, C.A.L. | |
| dc.contributor.author | das Neves, E.C. | |
| dc.contributor.author | de Oliveira Sales, B. | |
| dc.contributor.author | Farfan-Rios, W. | |
| dc.contributor.author | Ferreira, J. | |
| dc.contributor.author | Freitag, R. | |
| dc.contributor.author | Girardin, C. | |
| dc.contributor.author | Huaraca-Huasco, W. | |
| dc.contributor.author | Joly, C.A. | |
| dc.contributor.author | Malhi, Y. | |
| dc.contributor.author | Marimon, B.S. | |
| dc.contributor.author | Marimon-Júnior, B.H. | |
| dc.contributor.author | Morel, A.C. | |
| dc.contributor.author | Muller-Landau, H.C. | |
| dc.contributor.author | Peixoto, K.D.S. | |
| dc.contributor.author | Reis, S.M. | |
| dc.contributor.author | Riutta, T. | |
| dc.contributor.author | Salinas Revilla, N. | |
| dc.contributor.author | Seixas, M. | |
| dc.contributor.author | Silman, M.R. | |
| dc.contributor.author | Kueppers, L.M. | |
| dc.date.accessioned | 2026-03-13T16:57:31Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | ABSTRACT Forest allocation of net primary productivity (NPP) to reproduction (carbon required for flowers, fruits, and seeds) is poorly quantified globally, despite its critical role in forest regeneration and a well‐supported trade‐off with allocation to growth. Here, we present the first global synthesis of a biometric proxy for forest reproductive allocation (RA) across environmental and stand age gradients from a compiled dataset of 824 observations across 393 sites. We find that ecosystem‐scale RA increases ~60% from boreal to tropical forests. Climate shows important non‐linear relationships with RA, but is not the sole predictor. Forest age effects are comparable to climate in magnitude (MAT: ß = 0.24, p = 0.021; old growth forest: ß = 0.22, p p = 0.001; soil N: ß = −0.07, p = 0.001). These results provide strong evidence that ecosystem‐scale RA is mediated by climate, forest age, and soil conditions, and is not a globally fixed fraction of positive NPP as assumed by most vegetation and ecosystem models. Our dataset and findings can be used by modellers to improve predictions of forest regeneration and carbon cycling. | |
| dc.description.sponsorship | Funding: This research was supported as part of the Next Generatión Ecosystem Experiments‑Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. LBNL is managed and operated by the Regents of the University of California under prime contract number DE‑AC02‑05CH11231. Support for this work was provided by the National Science Foundatión, DEB 1754647 Long‑Term Research in Environmental Biology (LTREB), Sabin Center for Environment and Sustainability at Wake Forest University, and the Andes Biodiversity and Ecosystem Research Group (ABERG). Data used in this research were obtained through the National Ecological Observatory Network (NEON) Research Support Services. NEON is a program sponsored by the U.S. National Science Foundatión and operated under cooperative agreement by Battelle. Field data collection in Ghana was made possible by NERC grants NE/K010379‑1, NE/P001092/1 and NE/P00394X/1. Field data collection in Brazil was supported by the Brazilion National Council for scientific and Technological Development grants 403725/2012‑7, 441244/2016‑5 and 441572/2020‑0. E.B, C.A.J., J.B., J.N.F., L.C.‑R., M.S. and Y.M. thank the Large‑Scale Biosphere‑Atmosphere Program (LBA) for logistical and infrastructure support during field measurements. R.E.W. acknowledges support from the National Science Foundatión under Grant DGE‑1450053. The authors thank A. Araujo‑Murakami for additiónal data. We also thank S.J. Wright and members of the Ackerly and Kueppers Lab groups for helpful discussión and comments on the manuscript.; Funding text 2: Funding: This work was supported by Biological and Environmental Research (DE-AC02-05CH11231), División of Graduate Education (DGE-1450053), Conselho Nacional de Desenvolvimento Ciónt\u00EDfico e Tecnológico (403725/2012-7, 441244/2016-5, 441572/2020-0), Natural Environment Research Council (NE/K010379-1, NE/P001092/1, NE/P00394X/1), División of Environmental Biology (DEB-1754647). This research was supported as part of the Next Generatión Ecosystem Experiments-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. LBNL is managed and operated by the Regents of the University of California under prime contract number DE-AC02-05CH11231. Support for this work was provided by the National Science Foundatión, DEB 1754647 Long-Term Research in Environmental Biology (LTREB), Sabin Center for Environment and Sustainability at Wake Forest University, and the Andes Biodiversity and Ecosystem Research Group (ABERG). Data used in this research were obtained through the National Ecological Observatory Network (NEON) Research Support Services. NEON is a program sponsored by the U.S. National Science Foundatión and operated under cooperative agreement by Battelle. Field data collection in Ghana was made possible by NERC grants NE/K010379-1, NE/P001092/1 and NE/P00394X/1. Field data collection in Brazil was supported by the Brazilion National Council for scientific and Technological Development grants 403725/2012-7, 441244/2016-5 and 441572/2020-0. E.B, C.A.J., J.B., J.N.F., L.C.-R., M.S. and Y.M. thank the Large-Scale Biosphere-Atmosphere Program (LBA) for logistical and infrastructure support during field measurements. R.E.W. acknowledges support from the National Science Foundatión under Grant DGE-1450053. The authors thank A. Araujo-Murakami for additiónal data. We also thank S.J. Wright and members of the Ackerly and Kueppers Lab groups for helpful discussión and comments on the manuscript.; Funding text 3: This work was supported by Biological and Environmental Research (DE‑AC02‑05CH11231), División of Graduate Education (DGE‑1450053), Conselho Nacional de Desenvolvimento Ciónt\u00EDfico e Tecnológico (403725/2012‑7, 441244/2016‑5, 441572/2020‑0), Natural Environment Research Council (NE/K010379‑1, NE/P001092/1, NE/P00394X/1), División of Environmental Biology (DEB‑1754647). Funding: | |
| dc.identifier.doi | https://doi.org/10.1111/ele.70191 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14657/205586 | |
| dc.language.iso | eng | |
| dc.publisher | John Wiley and Sons | |
| dc.relation.ispartof | urn:issn:1365-2435 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | Ecology Letters; Vol. 28, Núm. 8 (2025) | |
| dc.subject | Primary production | |
| dc.subject | Ecosystem | |
| dc.subject | Ecology | |
| dc.subject | Forest ecology | |
| dc.subject | Taiga | |
| dc.subject | Environmental science | |
| dc.subject | Climate change | |
| dc.subject | Forest inventory | |
| dc.subject | Agroforestry | |
| dc.subject | Geography | |
| dc.subject | Forest management | |
| dc.subject | Biology | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.02.00 | |
| dc.title | Forest Age Rivals Climate to Explain Reproductive Allocation Patterns in Forest Ecosystems Globally | |
| dc.type | http://purl.org/coar/resource_type/c_dcae04bc | |
| dc.type.other | Artículo de revisión | |
| dc.type.version | https://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/ |
