Evidence map›Paper›PMID 40342156›Full record

ArticleEcology2025

Biodiversity loss disrupts seasonal carbon dynamics in a species-rich temperate grassland.

Jules Segrestin, Aleš Lisner, Lars Götzenberger, Tomáš Hájek, Eva Janíková, Veronika Jílková, Marie Konečná, Tereza Švancárová, Jan Lepš

Abstract read
In one paragraph

Article in Ecology, 2025. 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

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

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

9 authors.

Jules SegrestinDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0001-7661-6061
Aleš LisnerDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0003-4881-7362
Lars GötzenbergerDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0003-3040-2900
Tomáš HájekDepartment of Experimental Plant Biology, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0002-5981-5840
Eva JaníkováDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0003-1649-9435
Veronika JílkováBiology Centre of the Czech Academy of Sciences, Institute of Soil Biology and Biogeochemistry, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0002-5150-3439
Marie KonečnáDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0002-9195-4576
Tereza ŠvancárováDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0009-0008-4028-7292
Jan LepšDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.ORCID https://orcid.org/0000-0002-4822-7429

Funding

Czech Academy of Sciences RVO 67985939Grantová Agentura České Republiky 23-07087S
6 · The paper itself

Abstract

Biodiversity loss poses a significant threat to ecosystem functioning. However, much of the empirical evidence for these effects is based on artificial experiments that often fail to simulate the structure of natural communities. Hence, it is still unclear whether natural diversity losses would significantly affect the functioning of "real-world" ecosystems. As subordinate and rare species constitute most of the diversity in natural communities and are often more vulnerable to local extinction, we evaluated their contribution to ecosystem functioning in a naturally species-rich grassland. We focused on two mechanisms by which they can support ecosystem functions: redundancy and complementarity. We conducted two long-term field experiments (>6 years) simulating contrasting biodiversity loss scenarios through the manual removal of plant species and measured the consequences of species loss on various ecosystem functions related to carbon dynamics. The latter were examined seasonally to explore diversity effects outside the typical peak of vegetation. We found that dominant removal led to substantial reductions in aboveground phytomass and litter production and altered the annual carbon fixation capacity of the vegetation, highlighting the pivotal role of dominant species in driving ecosystem functioning. Despite high species diversity, other species could not fully compensate for the loss of a single dominant even after more than 25 years, challenging assumptions about redundancy. Complementarity effects were not detected at the peak of vegetation but were evident in early spring and autumn when subordinate and rare species enhanced ecosystem functions. Surprisingly, belowground phytomass, soil organic carbon content, and litter decomposition were unaffected by species removal, suggesting complex interactions in belowground processes. These findings underscore the importance of dominant species in maintaining ecosystem functioning and emphasize the need for nuanced approaches to studying biodiversity loss in real-world communities. Comprehensive seasonal measurements are essential for accurately discerning the effects of biodiversity on ecosystem dynamics and informing effective conservation strategies that maintain ecosystem functioning.

Indexed as

BiodiversityCarbonCarbon CycleGrasslandPlantsSeasonsTime FactorsCarbonaboveground biomassbelowground biomassbiodiversity lossdominant speciesecosystem functioninglitter decompositionnet ecosystem C exchangephenological complementarityseasonal carbon dynamicssoil organic carbon

Identifiers

PMID40342156
PMCPMC12060612

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Registered trials

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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.