Evidence map›Paper›PMID 39628456›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2025

Effects of land cover and protected areas on flying insect diversity.

James S Sinclair, Dominik Buchner, Mark O Gessner, Jörg Müller, Steffen U Pauls, Stefan Stoll, Ellen A R Welti, Claus Bässler, Jörn Buse, Frank Dziock and 18 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Effects of land cover and protected areas on flying insect diversity.Conservation biology : the journal of the Society for Conservation Biology · 2025
    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

28 authors.

James S SinclairDepartment of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.ORCID 0000-0003-0787-7342
Dominik BuchnerAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.
Mark O GessnerDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology & Inland Fisheries (IGB), Stechlin, Germany.
Jörg MüllerField Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg, Rauhenebrach, Germany.
Steffen U PaulsTerrestrial Zoology Department, Senckenberg Research Institute and Nature Museum Frankfurt, Frankfurt am Main, Germany.
Stefan StollEnvironmental Campus Birkenfeld, University of Applied Sciences Trier, Hoppstädten-Weiersbach, Germany.
Ellen A R WeltiConservation Ecology Center, Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, Virginia, USA.
Claus BässlerNationalpark Bavarian Forest, Grafenau, Germany.
Jörn BuseDepartment for Ecological Monitoring, Research and Species Protection, Black Forest National Park, Freudenstadt, Germany.
Frank DziockFaculty of Agriculture/Environment/Chemistry, University of Applied Sciences HTW Dresden, Dresden, Germany.
Julian EnssAquatic Ecology, Faculty of Biology, University of Duisburg-Essen, Essen, Germany.
Thomas HörrenEntomological Society Krefeld (EVK), Krefeld, Germany.
Robert KünastTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, Freising, Germany.
Yuanheng LiAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.
Andreas MartenHarz National Park, Wernigerode, Germany.
Carsten MorkelKellerwald-Edersee National Park, Bad Wildungen, Germany.
Ronny RichterGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.ORCID 0000-0002-8728-7918
Sebastian SeiboldBerchtesgaden National Park, Berchtesgaden, Germany.
Martin SorgEntomological Society Krefeld (EVK), Krefeld, Germany.
Sönke TwietmeyerDepartment of Research and Documentation, Eifel National Park, Schleiden, Germany.
Dirk WeisBiosphärenreservat Oberlausitzer Heide- und Teichlandschaft, Malschwitz, Germany.
Wolfgang WeisserTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, Freising, Germany.
Benedikt WiggeringLower Saxon Wadden Sea National Park Authority, Wilhelmshaven, Germany.
Martin WilmkingInstitute for Botany and Landscape Ecology, University Greifswald, Greifswald, Germany.
Gerhard ZotzInstitute for Biology and Environmental Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Mark FrenzelDepartment of Community Ecology, Helmholtz Centre for Environmental Research UFZ, Halle, Germany.
Florian LeeseAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.
Peter HaaseDepartment of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.ORCID 0000-0002-9340-0438

Funding

EU Horizon project eLTER PLUS 871128Hessisches Landesamt für Umwelt und GeologieLOEWE Centre for Translational Biodiversity Genomics
6 · The paper itself

Abstract

Widespread insect losses are a critical global problem. Mitigating this problem requires identifying the principal drivers across different taxa and determining which insects are covered by protected areas. However, doing so is hindered by missing information on most species owing to extremely high insect diversity and difficulties in morphological identification. To address this knowledge gap, we used one of the most comprehensive insect DNA metabarcoding data sets assembled (encompassing 31,846 flying insect species) in which data were collected from a network of 75 Malaise traps distributed across Germany. Collection sites encompass gradients of land cover, weather, and climate, along with differences in site protection status, which allowed us to gain broader insights into how insects respond to these factors. We examined changes in total insect biomass, species richness, temporal turnover, and shifts in the composition of taxa, key functional groups (pollinators, threatened species, and invasive species), and feeding traits. Lower insect biomass generally equated to lower richness of all insects and higher temporal turnover, suggesting that biomass loss translates to biodiversity loss and less stable communities. Spatial variability in insect biomass and composition was primarily driven by land cover, rather than weather or climate change. As vegetation and land-cover heterogeneity increased, insect biomass increased by 50% in 2019 and 56% in 2020 and total species richness by 58% and 33%, respectively. Similarly, areas with low-vegetation habitats exhibited the highest richness of key taxa, including pollinators and threatened species, and the widest variety of feeding traits. However, these habitats tended to be less protected despite their higher diversity. Our results highlight the value of heterogeneous low vegetation for promoting overall insect biomass and diversity and that better protection of insects requires improved protection and management of unforested areas, where many biodiversity hotspots and key taxa occur.

Indexed as

BiodiversityConservation of Natural ResourcesInsectaAnimalsBiomassGermanyárea protegidabiodiversidadbiodiversitybiomasabiomasscambio climáticoclimate changecobertura de sueloinsectinsectoland covermetabarcodingmetacodificación de barraspolinizadorpollinatorprotected area

Identifiers

PMID39628456
PMCPMC12309638

What OpenQuestion holds

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LicenceCC BY
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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.