Evidence map›Paper›PMID 35003661›Full record

ArticleEcology and evolution2021

Diversity of European habitat types is correlated with geography more than climate and human pressure.

Marco Cervellini, Michele Di Musciano, Piero Zannini, Simone Fattorini, Borja Jiménez-Alfaro, Emiliano Agrillo, Fabio Attorre, Pierangela Angelini, Carl Beierkuhnlein, Laura Casella and 10 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

20 authors.

Marco CervelliniBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0002-0853-2330
Michele Di MuscianoBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0002-3130-7270
Piero ZanniniBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0003-2466-4402
Simone FattoriniDepartment of Life, Health and Environmental Sciences University of L'Aquila L'Aquila Italy.ORCID https://orcid.org/0000-0002-4517-2135
Borja Jiménez-AlfaroResearch Unit of Biodiversity (CSIC/UO/PA) University of Oviedo Mieres Spain.ORCID https://orcid.org/0000-0001-6601-9597
Emiliano AgrilloInstitute for Environmental Protection and Research (ISPRA) Rome Italy.ORCID https://orcid.org/0000-0003-2346-8346
Fabio AttorreDepartment of Environmental Biology Sapienza University of Rome Roma Italy.ORCID https://orcid.org/0000-0002-7744-2195
Pierangela AngeliniInstitute for Environmental Protection and Research (ISPRA) Rome Italy.ORCID https://orcid.org/0000-0002-5321-9757
Carl BeierkuhnleinBiogeography, Bayreuth Center of Ecology and Environmental Research (BayCEER), Geographical Institute Bayreuth (GIB) University of Bayreuth Bayreuth Germany.ORCID https://orcid.org/0000-0002-6456-4628
Laura CasellaInstitute for Environmental Protection and Research (ISPRA) Rome Italy.ORCID https://orcid.org/0000-0003-2550-3010
Richard FieldSchool of Geography University of Nottingham Nottingham UK.ORCID https://orcid.org/0000-0003-2613-2688
Jan-Christopher FischerBiogeography, Bayreuth Center of Ecology and Environmental Research (BayCEER), Geographical Institute Bayreuth (GIB) University of Bayreuth Bayreuth Germany.ORCID https://orcid.org/0000-0002-1248-9785
Piero GenovesiInstitute for Environmental Protection and Research (ISPRA) Rome Italy.ORCID https://orcid.org/0000-0002-0262-1420
Samuel HoffmannBiogeography, Bayreuth Center of Ecology and Environmental Research (BayCEER), Geographical Institute Bayreuth (GIB) University of Bayreuth Bayreuth Germany.ORCID https://orcid.org/0000-0002-6176-8406
Severin D H IrlBiogeography and Biodiversity Lab, Institute of Physical Geography Goethe-University Frankfurt Germany.ORCID https://orcid.org/0000-0002-1734-8607
Juri NascimbeneBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0002-9174-654X
Duccio RocchiniBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0003-0087-0594
Manuel SteinbauerSport Ecology, Bayreuth Center of Ecology and Environmental Research (BayCEER) & Department of Sport Science University of Bayreuth Bayreuth Germany.ORCID https://orcid.org/0000-0002-7142-9272
Ole R VetaasDepartment of Geography University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0002-0185-1128
Alessandro ChiarucciBIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0003-1160-235X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat richness, that is, the diversity of ecosystem types, is a complex, spatially explicit aspect of biodiversity, which is affected by bioclimatic, geographic, and anthropogenic variables. The distribution of habitat types is a key component for understanding broad-scale biodiversity and for developing conservation strategies. We used data on the distribution of European Union (EU) habitats to answer the following questions: (i) how do bioclimatic, geographic, and anthropogenic variables affect habitat richness? (ii) Which of those factors is the most important? (iii) How do interactions among these variables influence habitat richness and which combinations produce the strongest interactions? The distribution maps of 222 terrestrial habitat types as defined by the Natura 2000 network were used to calculate habitat richness for the 10 km × 10 km EU grid map. We then investigated how environmental variables affect habitat richness, using generalized linear models, generalized additive models, and boosted regression trees. The main factors associated with habitat richness were geographic variables, with negative relationships observed for both latitude and longitude, and a positive relationship for terrain ruggedness. Bioclimatic variables played a secondary role, with habitat richness increasing slightly with annual mean temperature and overall annual precipitation. We also found an interaction between anthropogenic variables, with the combination of increased landscape fragmentation and increased population density strongly decreasing habitat richness. This is the first attempt to disentangle spatial patterns of habitat richness at the continental scale, as a key tool for protecting biodiversity. The number of European habitats is related to geography more than climate and human pressure, reflecting a major component of biogeographical patterns similar to the drivers observed at the species level. The interaction between anthropogenic variables highlights the need for coordinated, continental-scale management plans for biodiversity conservation.

Indexed as

anthropogenic impactbiodiversity conservationenvironmental predictorsEuropean habitat directivehabitat richnessterrain ruggedness index

Identifiers

PMID35003661
PMCPMC8717275

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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.