• Comparative proteomic analysis of dental pulp from supernumerary and normal permanent teeth

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Document Title

Comparative proteomic analysis of dental pulp from supernumerary and normal permanent teeth

Author

Lertruangpanya K., Roytrakul S., Surarit R., Horsophonphong S.

Affiliations

Department of Ecology, University of S?o Paulo, S?o Paulo, Brazil; Ecosystem Analysis and Simulation Lab, University of Bayreuth, Bayreuth, Germany; Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, United States; Smithsonian Environmental Research Center, Edgewater, MD, United States; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States; Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama; Conservation Ecology Center, Smithsonian National Zoo & Conservation Biology Institute, Front Royal, VA, United States; Forest Research Institute Malaysia, Kepong, Selangor, Malaysia; National Biobank of Thailand, National Science and Technology Development Agency, Pathum Thani, Klongluang, Thailand; Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Salaya, Thailand; Programa de Ecosistemas y Recursos Naturales, Instituto SINCHI, Bogot?, Colombia; Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan; Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien, Taiwan; Department of Plant Science, University of Buea, Buea, Cameroon; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, United States; Departamento de Ciencias Forestales, Universidad Nacional de Colombia Sede Medell?n, Medell?n, Colombia; Department of Science and Technology, Faculty of Applied Sciences, Uva Wellassa University, Badulla, Sri Lanka; Facult? de Gestion des Ressources Naturelles Renouvelables & Facult? des Sciences, Universit? de Kisangani, Kisangani, Democratic Republic Congo; Environmental Studies Department, University of California, Santa Cruz, CA, United States; Department of Botany, University of Peradeniya, Peradeniya, Sri Lanka; Department of Biology and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, Green Bay, WI, United States; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; Osaka City University, Osaka, Japan; Osaka Metropolitan University, Osaka, Japan; School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL, United States; Department of Forest Ecology, Silva Tarouca Research Institute, Brno, Czech Republic; Department of Wildland Resources, Utah State University, Logan, UT, United States; Ecology Center, Utah State University, Logan, UT, United States; Faculte des Sciences, Universite de Kisangani, Kisangani, Democratic Republic Congo; Forest Department Sarawak, Kuching, Malaysia; Department of Biology, Indiana University, Bloomingtom, IN, United States; Center for Interdisciplinary Research on Ecology and Sustainability, National Dong Hwa University, Hualien, Taiwan; School of Biological Sciences, Washington State University, Vancouver, WA, United States; UK Centre for Ecology & Hydrology, Edinburgh, United Kingdom; Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, United States; Department Environmental Sciences, University of Puerto Rico, Puerto Rico; Institute of Environmental Sciences, Leiden University, Leiden, Netherlands; Theoretical Ecology, University Regensburg, Regensburg, Germany; Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany

Type

Article

Source Title

Ecography

ISSN

9067590

Year

2024

Volume

2024

Issue

6

Open Access

All Open Access, Gold

Publisher

John Wiley and Sons Inc

DOI

10.1111/ecog.07187

Abstract

The future trajectory of global forests is closely intertwined with tree demography, and a major fundamental goal in ecology is to understand the key mechanisms governing spatio-temporal patterns in tree population dynamics. While previous research has made substantial progress in identifying the mechanisms individually, their relative importance among forests remains unclear mainly due to practical limitations. One approach to overcome these limitations is to group mechanisms according to their shared effects on the variability of tree vital rates and quantify patterns therein. We developed a conceptual and statistical framework (variance partitioning of Bayesian multilevel models) that attributes the variability in tree growth, mortality, and recruitment to variation in species, space, and time, and their interactions – categories we refer to as organising principles (OPs). We applied the framework to data from 21 forest plots covering more than 2.9 million trees of approximately 6500 species. We found that differences among species, the species OP, proved a major source of variability in tree vital rates, explaining 28–33% of demographic variance alone, and 14–17% in interaction with space, totalling 40–43%. Our results support the hypothesis that the range of vital rates is similar across global forests. However, the average variability among species declined with species richness, indicating that diverse forests featured smaller interspecific differences in vital rates. Moreover, decomposing the variance in vital rates into the proposed OPs showed the importance of unexplained variability, which includes individual variation, in tree demography. A focus on how demographic variance is organized in forests can facilitate the construction of more targeted models with clearer expectations of which covariates might drive a vital rate. This study therefore highlights the most promising avenues for future research, both in terms of understanding the relative contributions of groups of mechanisms to forest demography and diversity, and for improving projections of forest ecosystems. ? 2024 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos.

License

CC BY

Rights

Authors

Publication Source

WoS

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