Employing plant functional groups to advance seed dispersal ecology and conservation

Author:

Aslan Clare1,Beckman Noelle G2,Rogers Haldre S3,Bronstein Judie4,Zurell Damaris5,Hartig Florian6,Shea Katriona7,Pejchar Liba8,Neubert Mike9,Poulsen John10,HilleRisLambers Janneke11,Miriti Maria12,Loiselle Bette13,Effiom Edu14,Zambrano Jenny15,Schupp Geno2,Pufal Gesine16,Johnson Jeremy17,Bullock James M18,Brodie Jedediah19,Bruna Emilio13,Cantrell Robert Stephen20,Decker Robin21,Fricke Evan3,Gurski Katie22,Hastings Alan21,Kogan Oleg23,Razafindratsima Onja24,Sandor Manette25,Schreiber Sebastian21,Snell Rebecca26,Strickland Christopher27,Zhou Ying28

Affiliation:

1. Landscape Conservation Initiative, Northern Arizona University, Flagstaff, AZ, USA

2. Department of Biology, Utah State University, Logan, UT, USA

3. Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA

4. Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA

5. Dynamic Macroecology, Landscape Dynamics, Swiss Federal Research Institute WSL, Zürcherstrasse, Birmensdorf, Switzerland

6. Faculty of Biology and Pre-Clinical Medicine, University of Regensburg, Universitätsstraße, Regensburg, Germany

7. Department of Biology, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA, USA

8. Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO, USA

9. Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA

10. Nicholas School of the Environment, Duke University, Durham, USA

11. Department of Biology, University of Washington, Seattle, WA, USA

12. Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA

13. Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA

14. CRS Forestry Commission, Calabar, Nigeria

15. National Socio-Environmental Synthesis Center, 1 Park Place, Annapolis, MD, USA

16. Naturschutz & Landschaftsökologie, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany

17. Department of Geography, Texas A&M University, College Station, TX, USA

18. Centre for Ecology & Hydrology, Wallingford, UK

19. Wildlife Biology Program, University of Montana, Missoula, MT, USA

20. Department of Mathematics, University of Miami, 1365 Memorial Drive, Coral Gables, FL, USA

21. University of California-Davis, Davis, CA, USA

22. Department of Mathematics, Howard University, Washington, DC, USA

23. Physics Department, California Polytechnic State University, San Luis Obispo, CA, USA

24. Department of Biology, College of Charleston, Charleston, SC, USA

25. Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA

26. Environmental and Plant Biology, Ohio University, Athens, OH, USA

27. Department of Mathematics, University of Tennessee, Knoxville, TN, USA

28. Department of Mathematics, Lafayette College, Easton, PA, USA

Abstract

Abstract Seed dispersal enables plants to reach hospitable germination sites and escape natural enemies. Understanding when and how much seed dispersal matters to plant fitness is critical for understanding plant population and community dynamics. At the same time, the complexity of factors that determine if a seed will be successfully dispersed and subsequently develop into a reproductive plant is daunting. Quantifying all factors that may influence seed dispersal effectiveness for any potential seed-vector relationship would require an unrealistically large amount of time, materials and financial resources. On the other hand, being able to make dispersal predictions is critical for predicting whether single species and entire ecosystems will be resilient to global change. Building on current frameworks, we here posit that seed dispersal ecology should adopt plant functional groups as analytical units to reduce this complexity to manageable levels. Functional groups can be used to distinguish, for their constituent species, whether it matters (i) if seeds are dispersed, (ii) into what context they are dispersed and (iii) what vectors disperse them. To avoid overgeneralization, we propose that the utility of these functional groups may be assessed by generating predictions based on the groups and then testing those predictions against species-specific data. We suggest that data collection and analysis can then be guided by robust functional group definitions. Generalizing across similar species in this way could help us to better understand the population and community dynamics of plants and tackle the complexity of seed dispersal as well as its disruption.

Publisher

Oxford University Press (OUP)

Subject

Plant Science

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