Relating Wildlife Camera Trap Data to Tick Abundance: Testing the Relationship in Different Habitats.

camera traps tick abundance tick–host association

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
23 Sep 2024
Historique:
received: 10 08 2024
revised: 06 09 2024
accepted: 19 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

The increase in acarological risk of tick bites is significantly driven by profound changes in landscape, which alter the density and distribution of wildlife that support tick populations. As a result of habitat shifts and land abandonment, which create environments conducive to tick proliferation, the risk of disease transmission to humans and animals is increasing. In this context, it is important to explore tick ecology by applying a comprehensive methodology. In this study, we examined the relationship between wildlife temporal occupancy and tick abundance in two distinct regions: an alpine hunting district and a natural park in the Apennines. For each sampling point, we calculated wildlife temporal occupancy from camera trap pictures and estimated ticks' abundance from dragging transects in the area immediately surrounding camera traps. In modelling the relationship between those two variables, we included abiotic factors such as saturation deficit, normalized difference vegetation index, and altitude. Results show the importance of altitude and wildlife temporal occupancy (itself related to different habitat and land management characteristics) on the ecology of questing ticks. If employed in management decisions for natural environments, such information is useful to modulate the acarological risk and thus the risk of tick-borne pathogens' transmission.

Identifiants

pubmed: 39335338
pii: ani14182749
doi: 10.3390/ani14182749
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : MUR PNRR Extended Partnership initiative on Emerging Infectious Diseases
ID : Project no. PE00000007, INF-ACT
Organisme : Enetwild consortium funded by EFSA
ID : OC/EFSA/BIOHAW/2022/01

Auteurs

Rachele Vada (R)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Stefania Zanet (S)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Flavia Occhibove (F)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Enrica Fantini (E)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Pablo Palencia (P)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Ezio Ferroglio (E)

Department of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.

Classifications MeSH