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Hülsmann L, Chisholm RA, Comita L, Visser MD, de Souza Leite M, Aguilar S, Anderson-Teixeira KJ, Bourg NA, Brockelman WY, Bunyavejchewin S, Castaño N, Chang-Yang CH, Chuyong GB, Clay K, Davies SJ, Duque A, Ediriweera S, Ewango C, Gilbert GS, Holík J, Howe RW, Hubbell SP, Itoh A, Johnson DJ, Kenfack D, Král K, Larson AJ, Lutz JA, Makana JR, Malhi Y, McMahon SM, McShea WJ, Mohamad M, Nasardin M, Nathalang A, Norden N, Oliveira AA, Parmigiani R, Perez R, Phillips RP, Pongpattananurak N, Sun IF, Swanson ME, Tan S, Thomas D, Thompson J, Uriarte M, Wolf AT, Yao TL, Zimmerman JK, Zuleta D, Hartig F. Latitudinal patterns in stabilizing density dependence of forest communities. Nature 2024; 627:564-571. [PMID: 38418889 PMCID: PMC10954553 DOI: 10.1038/s41586-024-07118-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
Numerous studies have shown reduced performance in plants that are surrounded by neighbours of the same species1,2, a phenomenon known as conspecific negative density dependence (CNDD)3. A long-held ecological hypothesis posits that CNDD is more pronounced in tropical than in temperate forests4,5, which increases community stabilization, species coexistence and the diversity of local tree species6,7. Previous analyses supporting such a latitudinal gradient in CNDD8,9 have suffered from methodological limitations related to the use of static data10-12. Here we present a comprehensive assessment of latitudinal CNDD patterns using dynamic mortality data to estimate species-site-specific CNDD across 23 sites. Averaged across species, we found that stabilizing CNDD was present at all except one site, but that average stabilizing CNDD was not stronger toward the tropics. However, in tropical tree communities, rare and intermediate abundant species experienced stronger stabilizing CNDD than did common species. This pattern was absent in temperate forests, which suggests that CNDD influences species abundances more strongly in tropical forests than it does in temperate ones13. We also found that interspecific variation in CNDD, which might attenuate its stabilizing effect on species diversity14,15, was high but not significantly different across latitudes. Although the consequences of these patterns for latitudinal diversity gradients are difficult to evaluate, we speculate that a more effective regulation of population abundances could translate into greater stabilization of tropical tree communities and thus contribute to the high local diversity of tropical forests.
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Affiliation(s)
- Lisa Hülsmann
- Ecosystem Analysis and Simulation (EASI) Lab, University of Bayreuth, Bayreuth, Germany.
- Theoretical Ecology, University of Regensburg, Regensburg, Germany.
- Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany.
| | - Ryan A Chisholm
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Liza Comita
- School of the Environment, Yale University, New Haven, CT, USA
- Smithsonian Tropical Research Institute, Panama City, Panama
| | - Marco D Visser
- Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands
| | | | - Salomon Aguilar
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama City, Panama
| | - Kristina J Anderson-Teixeira
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama City, Panama
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, VA, USA
| | - Norman A Bourg
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, VA, USA
| | - Warren Y Brockelman
- National Biobank of Thailand (NBT), National Science and Technology Development Agency, Bangkok, Thailand
- Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand
| | - Sarayudh Bunyavejchewin
- Thai Long Term Forest Ecological Research Project, Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
| | - Nicolas Castaño
- Instituto Amazónico de Investigaciones Científicas Sinchi, Bogotá, Colombia
| | - Chia-Hao Chang-Yang
- Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan
| | | | - Keith Clay
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, USA
| | - Stuart J Davies
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA
| | - Alvaro Duque
- Departamento de Ciencias Forestales, Universidad Nacional de Colombia Sede Medellín, Medellín, Colombia
| | - Sisira Ediriweera
- Department of Science and Technology, Uva Wellassa University, Badulla, Sri Lanka
| | | | - Gregory S Gilbert
- Environmental Studies Department, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Jan Holík
- Department of Forest Ecology, Silva Tarouca Research Institute, Brno, Czech Republic
| | - Robert W Howe
- Cofrin Center for Biodiversity, Department of Biology, University of Wisconsin-Green Bay, Green Bay, WI, USA
| | - Stephen P Hubbell
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Akira Itoh
- Graduate School of Science, Osaka Metropolitan University, Osaka, Japan
| | - Daniel J Johnson
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL, USA
| | - David Kenfack
- Global Earth Observatory (ForestGEO), Smithsonian Tropical Research Institute, Washington, DC, USA
| | - Kamil Král
- Department of Forest Ecology, Silva Tarouca Research Institute, Brno, Czech Republic
| | - Andrew J Larson
- Department of Forest Management, University of Montana, Missoula, MT, USA
- Wilderness Institute, University of Montana, Missoula, MT, USA
| | - James A Lutz
- Department of Wildland Resources, Utah State University, Logan, UT, USA
| | | | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Sean M McMahon
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA
- Smithsonian Environmental Research Center, Edgewater, MD, USA
| | - William J McShea
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, VA, USA
| | | | | | - Anuttara Nathalang
- National Biobank of Thailand (NBT), National Science and Technology Development Agency, Bangkok, Thailand
| | - Natalia Norden
- Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá, Colombia
| | | | - Renan Parmigiani
- Department of Ecology, University of São Paulo, São Paulo, Brazil
| | - Rolando Perez
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama City, Panama
| | | | | | - I-Fang Sun
- Department of Natural Resources and Environmental Studies, National Donghwa University, Hualien, Taiwan
| | - Mark E Swanson
- School of the Environment, Washington State University, Pullman, WA, USA
| | | | - Duncan Thomas
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Jill Thompson
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, UK
| | - Maria Uriarte
- Department of Ecology, Evolution & Environmental Biology, Columbia University, New York, NY, USA
| | - Amy T Wolf
- Department of Biology, University of Wisconsin-Green Bay, Green Bay, WI, USA
| | - Tze Leong Yao
- Forest Research Institute Malaysia, Kepong, Malaysia
| | - Jess K Zimmerman
- Department of Environmental Science, University of Puerto Rico, Rio Piedras, USA
| | - Daniel Zuleta
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA
| | - Florian Hartig
- Theoretical Ecology, University of Regensburg, Regensburg, Germany
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Calinger K, Calhoon E, Chang HC, Whitacre J, Wenzel J, Comita L, Queenborough S. Historic Mining and Agriculture as Indicators of Occurrence and Abundance of Widespread Invasive Plant Species. PLoS One 2015; 10:e0128161. [PMID: 26046534 PMCID: PMC4457889 DOI: 10.1371/journal.pone.0128161] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 04/22/2015] [Indexed: 11/23/2022] Open
Abstract
Anthropogenic disturbances often change ecological communities and provide opportunities for non-native species invasion. Understanding the impacts of disturbances on species invasion is therefore crucial for invasive species management. We used generalized linear mixed effects models to explore the influence of land-use history and distance to roads on the occurrence and abundance of two invasive plant species (Rosa multiflora and Berberis thunbergii) in a 900-ha deciduous forest in the eastern U.S.A., the Powdermill Nature Reserve. Although much of the reserve has been continuously forested since at least 1939, aerial photos revealed a variety of land-uses since then including agriculture, mining, logging, and development. By 2008, both R. multiflora and B. thunbergii were widespread throughout the reserve (occurring in 24% and 13% of 4417 10-m diameter regularly-placed vegetation plots, respectively) with occurrence and abundance of each varying significantly with land-use history. Rosa multiflora was more likely to occur in historically farmed, mined, logged or developed plots than in plots that remained forested, (log odds of 1.8 to 3.0); Berberis thunbergii was more likely to occur in plots with agricultural, mining, or logging history than in plots without disturbance (log odds of 1.4 to 2.1). Mining, logging, and agriculture increased the probability that R. multiflora had >10% cover while only past agriculture was related to cover of B. thunbergii. Proximity to roads was positively correlated with the occurrence of R. multiflora (a 0.26 increase in the log odds for every 1-m closer) but not B. thunbergii, and roads had no impact on the abundance of either species. Our results indicated that a wide variety of disturbances may aid the introduction of invasive species into new habitats, while high-impact disturbances such as agriculture and mining increase the likelihood of high abundance post-introduction.
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Affiliation(s)
- Kellen Calinger
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 318 W. 12th Avenue, Columbus, Ohio 43210–1293, United States of America
- * E-mail:
| | - Elisabeth Calhoon
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 318 W. 12th Avenue, Columbus, Ohio 43210–1293, United States of America
| | - Hsiao-chi Chang
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 318 W. 12th Avenue, Columbus, Ohio 43210–1293, United States of America
| | - James Whitacre
- Powdermill Nature Reserve, Carnegie Museum of Natural History, 1847 Route 381, Rector, Pennsylvania 15677, United States of America
- University Library, University of Illinois, Urbana, Illinois 61801, United States of America
| | - John Wenzel
- Powdermill Nature Reserve, Carnegie Museum of Natural History, 1847 Route 381, Rector, Pennsylvania 15677, United States of America
| | - Liza Comita
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 318 W. 12th Avenue, Columbus, Ohio 43210–1293, United States of America
- Smithsonian Tropical Research Institute, Box 0843–03092, Balboa, Ancón, Panama
| | - Simon Queenborough
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 318 W. 12th Avenue, Columbus, Ohio 43210–1293, United States of America
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