Cargando…
Animal movements occurring during COVID-19 lockdown were predicted by connectivity models
Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552749/ https://www.ncbi.nlm.nih.gov/pubmed/34729384 http://dx.doi.org/10.1016/j.gecco.2021.e01895 |
_version_ | 1784591445907210240 |
---|---|
author | Corradini, Andrea Peters, Wibke Pedrotti, Luca Hebblewhite, Mark Bragalanti, Natalia Tattoni, Clara Ciolli, Marco Cagnacci, Francesca |
author_facet | Corradini, Andrea Peters, Wibke Pedrotti, Luca Hebblewhite, Mark Bragalanti, Natalia Tattoni, Clara Ciolli, Marco Cagnacci, Francesca |
author_sort | Corradini, Andrea |
collection | PubMed |
description | Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex anthropogenic matrix, but failed to establish a metapopulation due to reduced connectivity and human disturbance (i.e. infrastructure, land use, and human mobility). Previous work from Peters et al. (2015, Biol. Cons. 186, 123–133) predicted the main corridors and suitable hot spots for road network crossing for this population across all major roads and settlement zones, to link most suitable habitats. Bears used the identified hot spots for road network crossing over the years, but major barriers such as main motor roads were not overcome, possibly due to functional anthropogenic disturbance, specifically human mobility. By analyzing 404 bear occurrences reported to local authorities (as bear-related complaints) collected between 2016 and 2020 (March 9th - May 18th), hence including the COVID-19 related lockdown, we tested the effect of human presence on brown bears' use of space and hot spots for road network crossing. Animals occupied human-dominated spaces and approached hot spots for crossing at a higher rate during the lockdown than in previous years, suggesting that connectivity temporarily increased with reduced human mobility for this population. As a result of their increased use of hot spots, bears expanded their use of suitable areas beyond the population core area. Movement of animals across structural barriers such as roads and human settlements may therefore occur in absence of active disturbance. We also showed the value of predictive models to identify hot spots for animal barrier crossing, the knowledge of which is critical when implementing management solutions to enhance connectivity. Understanding the factors that influence immigration and emigration across metapopulations of large mammals, particularly carnivores that may compete indirectly with humans for space or directly as super-predators, is critical to ensure the long-term viability of conservation efforts for their persistence. We argue that dynamic factors such as human mobility may play a larger role than previously recognized. |
format | Online Article Text |
id | pubmed-8552749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85527492021-10-29 Animal movements occurring during COVID-19 lockdown were predicted by connectivity models Corradini, Andrea Peters, Wibke Pedrotti, Luca Hebblewhite, Mark Bragalanti, Natalia Tattoni, Clara Ciolli, Marco Cagnacci, Francesca Glob Ecol Conserv Article Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex anthropogenic matrix, but failed to establish a metapopulation due to reduced connectivity and human disturbance (i.e. infrastructure, land use, and human mobility). Previous work from Peters et al. (2015, Biol. Cons. 186, 123–133) predicted the main corridors and suitable hot spots for road network crossing for this population across all major roads and settlement zones, to link most suitable habitats. Bears used the identified hot spots for road network crossing over the years, but major barriers such as main motor roads were not overcome, possibly due to functional anthropogenic disturbance, specifically human mobility. By analyzing 404 bear occurrences reported to local authorities (as bear-related complaints) collected between 2016 and 2020 (March 9th - May 18th), hence including the COVID-19 related lockdown, we tested the effect of human presence on brown bears' use of space and hot spots for road network crossing. Animals occupied human-dominated spaces and approached hot spots for crossing at a higher rate during the lockdown than in previous years, suggesting that connectivity temporarily increased with reduced human mobility for this population. As a result of their increased use of hot spots, bears expanded their use of suitable areas beyond the population core area. Movement of animals across structural barriers such as roads and human settlements may therefore occur in absence of active disturbance. We also showed the value of predictive models to identify hot spots for animal barrier crossing, the knowledge of which is critical when implementing management solutions to enhance connectivity. Understanding the factors that influence immigration and emigration across metapopulations of large mammals, particularly carnivores that may compete indirectly with humans for space or directly as super-predators, is critical to ensure the long-term viability of conservation efforts for their persistence. We argue that dynamic factors such as human mobility may play a larger role than previously recognized. The Authors. Published by Elsevier B.V. 2021-12 2021-10-28 /pmc/articles/PMC8552749/ /pubmed/34729384 http://dx.doi.org/10.1016/j.gecco.2021.e01895 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Corradini, Andrea Peters, Wibke Pedrotti, Luca Hebblewhite, Mark Bragalanti, Natalia Tattoni, Clara Ciolli, Marco Cagnacci, Francesca Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title | Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title_full | Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title_fullStr | Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title_full_unstemmed | Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title_short | Animal movements occurring during COVID-19 lockdown were predicted by connectivity models |
title_sort | animal movements occurring during covid-19 lockdown were predicted by connectivity models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552749/ https://www.ncbi.nlm.nih.gov/pubmed/34729384 http://dx.doi.org/10.1016/j.gecco.2021.e01895 |
work_keys_str_mv | AT corradiniandrea animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT peterswibke animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT pedrottiluca animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT hebblewhitemark animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT bragalantinatalia animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT tattoniclara animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT ciollimarco animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels AT cagnaccifrancesca animalmovementsoccurringduringcovid19lockdownwerepredictedbyconnectivitymodels |