Evidence map›Paper›PMID 38273093›Full record

ArticleAmbio2024

Examining the co-occurrences of human threats within terrestrial protected areas.

Francesco Martini, Constantinos Kounnamas, Eben Goodale, Christos Mammides

Abstract read
In one paragraph

Article in Ambio, 2024. 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

4 authors.

Francesco MartiniBotany Department, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland. franmart12@hotmail.it.ORCID http://orcid.org/0000-0003-0806-3930
Constantinos KounnamasNature Conservation Unit, Frederick University, 7, Yianni Frederickou Street, Pallouriotissa, 1036, Nicosia, Cyprus.ORCID http://orcid.org/0000-0001-6797-2080
Eben GoodaleDepartment of Health and Environmental Science, Xi'an Jiaotong Liverpool University, 8 Chongwen Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu, China.ORCID http://orcid.org/0000-0003-3403-2847
Christos MammidesNature Conservation Unit, Frederick University, 7, Yianni Frederickou Street, Pallouriotissa, 1036, Nicosia, Cyprus.ORCID http://orcid.org/0000-0003-1747-175X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human threats to biodiversity are prevalent within protected areas (PAs), undermining their effectiveness in halting biodiversity loss. Certain threats tend to co-occur, resulting in amplified cumulative impact through synergistic effects. However, it remains unclear which threats are related the most. We analyzed a dataset of 71 human threats in 18 013 terrestrial PAs of the European Union's Natura 2000 network, using a Joint Species Distribution Modelling approach, to assess the threats' co-occurrence patterns and potential drivers. Overall, threats were more frequently correlated positively than negatively. Threats related to agriculture and urbanization were correlated strongly with most other threats. Approximately 70% of the variance in our model was explained by country-specific factors, indicating the importance of local drivers. Minimizing the negative impact of key threats can likely reduce the impact of related threats. However, more research is needed to understand better the relationships among threats and, importantly, their combined impact on biodiversity.

Indexed as

BiodiversityConservation of Natural ResourcesAgricultureEcosystemHumansUrbanizationAnthropogenic impactBiodiversity conservationHuman pressureJoint Species Distribution ModelingNatura 2000Post-2020 Global Biodiversity Framework

Identifiers

PMID38273093
PMCPMC10920590

What OpenQuestion holds

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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.