Evidence map›Paper›PMID 42404071›Full record

ArticleBiodiversity data journal2026

SLAM Project - Long-Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores: VII - Long-term arthropod monitoring in Graciosa Island.

Martha Vounatsi, Sébastien Lhoumeau, Alexandra Dal Lago, Sophie Wallon, Luís Carlos Fonseca Crespo, Carlos F S Picanço, Pedro M L Raposo, Paulo A V Borges

Abstract read
In one paragraph

Article in Biodiversity data journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Martha VounatsiUniversity of Athens, Athens, Greece University of Athens Athens Greece https://ror.org/04gnjpq42.
Sébastien LhoumeauUniversity of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042, Angra do Heroísmo, Azores, Portugal University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Azores Portugal https://ror.org/04276xd64.ORCID https://orcid.org/0009-0006-7241-6269
Alexandra Dal LagoUniversity of Bologna, Bologna, Italy University of Bologna Bologna Italy https://ror.org/01111rn36.ORCID https://orcid.org/0009-0001-2364-1877
Sophie WallonUniversity of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042, Angra do Heroísmo, Azores, Portugal University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Azores Portugal https://ror.org/04276xd64.ORCID https://orcid.org/0000-0002-1116-1788
Luís Carlos Fonseca CrespoUniversity of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042, Angra do Heroísmo, Azores, Portugal University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Azores Portugal https://ror.org/04276xd64.ORCID https://orcid.org/0000-0002-5388-5661
Carlos F S PicançoServiço de Ambiente e Ação Climática da Graciosa, Rua Eng.º Manuel Rodrigues de Miranda, n.º 9-A, 9880-376, Santa Cruz da Graciosa, Azores, Portugal Serviço de Ambiente e Ação Climática da Graciosa, Rua Eng.º Manuel Rodrigues de Miranda, n.º 9-A, 9880-376 Santa Cruz da Graciosa, Azores Portugal.
Pedro M L RaposoServiço de Ambiente e Ação Climática da Graciosa, Rua Eng.º Manuel Rodrigues de Miranda, n.º 9-A, 9880-376, Santa Cruz da Graciosa, Azores, Portugal Serviço de Ambiente e Ação Climática da Graciosa, Rua Eng.º Manuel Rodrigues de Miranda, n.º 9-A, 9880-376 Santa Cruz da Graciosa, Azores Portugal.
Paulo A V BorgesUniversity of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042, Angra do Heroísmo, Azores, Portugal University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Azores Portugal https://ror.org/04276xd64.ORCID https://orcid.org/0000-0002-8448-7623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The data we present are part of the long-term project SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores, which was established in 2012 to monitor arthropod communities in Azorean forest habitats using standardised long-term ecological sampling. The main aim of this project is to understand how major biodiversity erosion drivers, including habitat degradation, biological invasions and climate-related pressures, affect the distribution, abundance and diversity of Azorean arthropods through time. Long-term monitoring is particularly relevant on oceanic islands, where biodiversity change may be expressed more strongly through species turnover, shifts in community composition and increases in introduced taxa than through immediate declines in total species richness. The SLAM framework also contributes to the early detection and documentation of new species occurrences, thereby improving baseline knowledge for conservation planning, biodiversity assessment and biosecurity. Sampling relies on passive flight-interception SLAM (Sea, Land and Air Malaise) traps, which are operated continuously and serviced at regular intervals to provide comparable seasonal and interannual samples. New information: We sampled 17,064 specimens from samples from the years 2015-2021 out of which 16,491 were identified to the level of species (96.6%) or even subspecies (326 individuals) and 247 were identified to the order, family or genus level. The identified specimens belong to 17 unique orders, 82 families, 156 genera and 165 species and eight subspecies. Of these species and subspecies, 14 were endemic, 49 were native non-endemic, 86 were introduced and 24 have uncertain colonisation status.A total of 26 species were recorded for the first time on Graciosa Island, but none represents a new record for the Azores Archipelago. Amongst these newly-recorded species, two are Azorean endemics, five are native non-endemics, 16 are introduced and three have uncertain colonisation status, with most detected at very low abundance.New island records on Graciosa Island comprise nine spiders (Order Araneae), including two Azorean endemic spiders recorded for the first time on Graciosa,

Indexed as

ArthropodaAzoresintroduced specieslong-term monitoringnative forestSLAM trapsspecies records

Identifiers

PMID42404071
PMCPMC13332389

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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.