Employing plant functional groups to advance seed dispersal ecology and conservation
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.
What the paper shows and why it matters
(AI-generated)
Seed dispersal, the movement of seeds away from the parent plant, helps plants reach suitable sites and escape natural enemies. Predicting how global change and the loss of animal dispersers will affect plant populations therefore requires knowing when and how much dispersal matters to a plant’s fitness. The Seed Dispersal Effectiveness (SDE) framework (Schupp et al. 2010) is a reasonable way to organise the many interacting factors involved. Applied in full, however, it needs up to 15 measured quantities for each pair of plant and disperser species, which is out of reach for thousands of species pairs. Earlier functional groupings, for example of seed dispersers (Dennis and Westcott 2006), stayed narrow in scope. Dispersal syndromes, which sort plants by the type of vector (animals or wind) that disperses their seeds, risk being too crude to predict what losing a vector means. The paper questions the use of the individual species as the unit of analysis.
The paper argues that the Seed Dispersal Effectiveness framework should use plant functional groups (groups of species sharing an ecological function) instead of individual species as its units of analysis. The groups are defined by how much it matters to a plant whether its seeds are dispersed (for example, high colonisation ability), where or when they are dispersed (for example, intolerance of shade) and by which vector (for example, seed size). Table 1 lists 17 such groups, almost all paired with a contrasting trait for which losing dispersal should matter less. Published cases illustrate rather than test the vector category: the large-seeded plant Platymitra macrocarpa in Thailand appears to depend on which animals disperse it, whereas for two small-seeded Miconia species in Brazil the dispersing birds differed in the number of seeds moved but not in dispersal quality. To avoid overgeneralising, the paper proposes to test whether predictions derived from the groups hold against data on single species, collected in a standardised way across many systems.

If groups pass such tests, researchers and conservation planners could judge from a species’ traits whether it is likely to suffer from the loss of its dispersers, and could generalise across species and systems with far less data. The paper offers a proposal and research agenda, not a test, and invites the ecological community to join in.
References
- Schupp et al. (2010). Seed dispersal effectiveness revisited: a conceptual review. New Phytologist 188, 333–353. doi:10.1111/j.1469-8137.2010.03402.x
- Dennis & Westcott (2006). Reducing complexity when studying seed dispersal at community scales: a functional classification of vertebrate seed dispersers in tropical forests. Oecologia 149, 620–634. doi:10.1007/s00442-006-0475-3