Evidence map›Paper›PMID 30895154›Full record

ReviewAoB PLANTS2019

Employing plant functional groups to advance seed dispersal ecology and conservation.

Clare Aslan, Noelle G Beckman, Haldre S Rogers, Judie Bronstein, Damaris Zurell, Florian Hartig, Katriona Shea, Liba Pejchar, Mike Neubert, John Poulsen and 23 more

Abstract readReview
In one paragraph

Review in AoB PLANTS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Clare AslanLandscape Conservation Initiative, Northern Arizona University, Flagstaff, AZ, USA.
Noelle G BeckmanDepartment of Biology, Utah State University, Logan, UT, USA.
Haldre S RogersDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA.
Judie BronsteinDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
Damaris ZurellDynamic Macroecology, Landscape Dynamics, Swiss Federal Research Institute WSL, Zürcherstrasse, Birmensdorf, Switzerland.
Florian HartigFaculty of Biology and Pre-Clinical Medicine, University of Regensburg, Universitätsstraße, Regensburg, Germany.
Katriona SheaDepartment of Biology, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA, USA.
Liba PejcharDepartment of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO, USA.
Mike NeubertBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.
John PoulsenNicholas School of the Environment, Duke University, Durham, USA.
Janneke HilleRisLambersDepartment of Biology, University of Washington, Seattle, WA, USA.
Maria MiritiDepartment of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA.
Bette LoiselleDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.
Edu EffiomCRS Forestry Commission, Calabar, Nigeria.
Jenny ZambranoNational Socio-Environmental Synthesis Center, 1 Park Place, Annapolis, MD, USA.
Geno SchuppDepartment of Biology, Utah State University, Logan, UT, USA.
Gesine PufalNaturschutz & Landschaftsökologie, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany.
Jeremy JohnsonDepartment of Geography, Texas A&M University, College Station, TX, USA.
James M BullockCentre for Ecology & Hydrology, Wallingford, UK.
Jedediah BrodieWildlife Biology Program, University of Montana, Missoula, MT, USA.
Emilio BrunaDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.
Robert Stephen CantrellDepartment of Mathematics, University of Miami, 1365 Memorial Drive, Coral Gables, FL, USA.
Robin DeckerUniversity of California-Davis, Davis, CA, USA.
Evan FrickeDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA.
Katie GurskiDepartment of Mathematics, Howard University, Washington, DC, USA.
Alan HastingsUniversity of California-Davis, Davis, CA, USA.
Oleg KoganPhysics Department, California Polytechnic State University, San Luis Obispo, CA, USA.
Onja RazafindratsimaDepartment of Biology, College of Charleston, Charleston, SC, USA.
Manette SandorDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Sebastian SchreiberUniversity of California-Davis, Davis, CA, USA.
Rebecca SnellEnvironmental and Plant Biology, Ohio University, Athens, OH, USA.
Christopher StricklandDepartment of Mathematics, University of Tennessee, Knoxville, TN, USA.
Ying ZhouDepartment of Mathematics, Lafayette College, Easton, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

dependencydirected dispersaldispersal vectorsgeneralizationmutualismseed dispersal effectiveness

Identifiers

PMID30895154
PMCPMC6420810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.