Evidence map›Paper›PMID 36203640›Full record

ArticleEcology and evolution2022

Functional rarity of plants in German hay meadows - Patterns on the species level and mismatches with community species richness.

Gabriel Walther, Ute Jandt, Jens Kattge, Christine Römermann

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Gabriel WaltherFriedrich Schiller University Jena Jena Germany.ORCID https://orcid.org/0000-0003-3550-9045
Ute JandtGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0002-3177-3669
Jens KattgeGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0002-1022-8469
Christine RömermannFriedrich Schiller University Jena Jena Germany.ORCID https://orcid.org/0000-0003-3471-0951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional rarity (FR) - a feature combining a species' rarity with the distinctiveness of its traits - is a promising tool to better understand the ecological importance of rare species and consequently to protect functional diversity more efficiently. However, we lack a systematic understanding of FR on both the species level (which species are functionally rare and why) and the community level (how is FR associated with biodiversity and environmental conditions). Here, we quantify FR for 218 plant species from German hay meadows on a local, regional, and national scale by combining data from 6500 vegetation relevés and 15 ecologically relevant traits. We investigate the association between rarity and trait distinctiveness on different spatial scales via correlation measures and show which traits lead to low or high trait distinctiveness via distance-based redundancy analysis. We test how species richness and FR are correlated, and use boosted regression trees to determine environmental conditions that are driving species richness and FR. On the local scale, only rare species showed high trait distinctiveness while on larger spatial scales rare and common species showed high trait distinctiveness. As infrequent trait attributes (e.g., legumes, low clonality) led to higher trait distinctiveness, we argue that functionally rare species are either specialists or transients. While specialists occupy a particular niche in hay meadows leading to lower rarity on larger spatial scales, transients display distinct but maladaptive traits resulting in high rarity across all spatial scales. More functionally rare species than expected by chance occurred in species-poor communities indicating that they prefer environmental conditions differing from characteristic conditions of species-rich hay meadows. Finally, we argue that functionally rare species are not necessarily relevant for nature conservation because many were transients from surrounding habitats. However, FR can facilitate our understanding of why species are rare in a habitat and under which conditions these species occur.

Indexed as

environmental conditionsEuropean grasslandsfunctional raritymesic grasslandsspecies raritytrait distinctiveness

Identifiers

PMID36203640
PMCPMC9526122

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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.