Mapping drivers of change for biodiversity risk assessment to target conservation actions

Mapping the drivers of change that pose negative pressures or threats to biodiversity can help to identify where biodiversity is most threatened and can be used to determine priority sites to target conservation actions. Overlapping drivers of change maps with distribution maps of sensitive species...

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Authors: Pla, Magda|||0000-0002-7060-6783, Burgas, Albert, Carrion, Gerard, Hermoso, Virgilio|||0000-0003-3205-5033, Feliu, Ponç, Romero, Sergi, Casanovas, Pilar, Sainz de la Maza, Pau, Arnau del Amo, Pedro|||0000-0002-3718-8559, Pino i Vilalta, Joan|||0000-0003-0939-7502, Brotons, Lluís|||0000-0002-4826-4457
Format: article
Publication Date:2024
Country:España
Institution:Universitat Autònoma de Barcelona
Repository:Dipòsit Digital de Documents de la UAB
Language:English
OAI Identifier:oai:ddd.uab.cat:310002
Online Access:https://ddd.uab.cat/record/310002
https://dx.doi.org/urn:doi:10.1016/j.heliyon.2024.e25312
Access Level:Open access
Keyword:Biodiversity conservation
Environmental change drivers
Pressure
Human frequentation
Charadrius alexandrines
Posidonia oceanica
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spelling Mapping drivers of change for biodiversity risk assessment to target conservation actionshuman frequentation in protected areasPla, Magda|||0000-0002-7060-6783Burgas, AlbertCarrion, GerardHermoso, Virgilio|||0000-0003-3205-5033Feliu, PonçRomero, SergiCasanovas, PilarSainz de la Maza, PauArnau del Amo, Pedro|||0000-0002-3718-8559Pino i Vilalta, Joan|||0000-0003-0939-7502Brotons, Lluís|||0000-0002-4826-4457Biodiversity conservationEnvironmental change driversPressureHuman frequentationCharadrius alexandrinesPosidonia oceanicaMapping the drivers of change that pose negative pressures or threats to biodiversity can help to identify where biodiversity is most threatened and can be used to determine priority sites to target conservation actions. Overlapping drivers of change maps with distribution maps of sensitive species provides valuable information to identify where and when it would be better to target actions to minimize the risk. The overall aim of this study was to develop a methodology for the integration of risk mapping associated with high human frequentation to guide conservation actions in two case study: the Kentish plover (Charadrius alexandrinus) and Posidonia meadows (Posidonia oceanica), both sensitive to human frequentation. To achieve this, we used two types of geolocated mobile phone information from the STRAVA platform: mapped paths and roads number of visitors at hourly precisions and a sporting activities heatmap representative of a wider period, together with species ecological information and complementary human frequentation data. The final, monthly risk maps identified the areas for Kentish plover with null, low, moderate, high, very high risk attributed to different aspects of the breeding biology of the species, nests, nestlings, and adults. The risk thresholds for nests are lower than for nestlings and adults, thought nestlings were generally less sensitive to human frequentation than adults. Visitors number ranges between 250 and 700 approximately suppose a moderate risk for the three assessed periods, and more than 1200 visitors appeared to prevent the nesting of the species completely. The final risk maps for Posidonia meadows determine the areas with low, moderate, hight and very high risk for human marine activities. Human frequentation values in this case study are scaled between 0 and 1, the results shows that values above 0.1 imply a high risk for the species. Both types of information can be used to target concrete, spatially explicit actions to minimize the risk caused by human frequentation. Furthermore, the first case study would allow to adapt the target actions to the species breeding phenology. The proposed risk assessment workflow is flexible and may be adjusted to match the available information and eventually could be adapted to other conservation objectives arising from different threats. In addition, data gathered from mobile mobility applications show great potential to accurately identify human frequentation, both spatially and temporally. 22024-01-0120242024-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/310002https://dx.doi.org/urn:doi:10.1016/j.heliyon.2024.e25312reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3100022026-06-06T12:50:31Z
dc.title.none.fl_str_mv Mapping drivers of change for biodiversity risk assessment to target conservation actions
human frequentation in protected areas
title Mapping drivers of change for biodiversity risk assessment to target conservation actions
spellingShingle Mapping drivers of change for biodiversity risk assessment to target conservation actions
Pla, Magda|||0000-0002-7060-6783
Biodiversity conservation
Environmental change drivers
Pressure
Human frequentation
Charadrius alexandrines
Posidonia oceanica
title_short Mapping drivers of change for biodiversity risk assessment to target conservation actions
title_full Mapping drivers of change for biodiversity risk assessment to target conservation actions
title_fullStr Mapping drivers of change for biodiversity risk assessment to target conservation actions
title_full_unstemmed Mapping drivers of change for biodiversity risk assessment to target conservation actions
title_sort Mapping drivers of change for biodiversity risk assessment to target conservation actions
dc.creator.none.fl_str_mv Pla, Magda|||0000-0002-7060-6783
Burgas, Albert
Carrion, Gerard
Hermoso, Virgilio|||0000-0003-3205-5033
Feliu, Ponç
Romero, Sergi
Casanovas, Pilar
Sainz de la Maza, Pau
Arnau del Amo, Pedro|||0000-0002-3718-8559
Pino i Vilalta, Joan|||0000-0003-0939-7502
Brotons, Lluís|||0000-0002-4826-4457
author Pla, Magda|||0000-0002-7060-6783
author_facet Pla, Magda|||0000-0002-7060-6783
Burgas, Albert
Carrion, Gerard
Hermoso, Virgilio|||0000-0003-3205-5033
Feliu, Ponç
Romero, Sergi
Casanovas, Pilar
Sainz de la Maza, Pau
Arnau del Amo, Pedro|||0000-0002-3718-8559
Pino i Vilalta, Joan|||0000-0003-0939-7502
Brotons, Lluís|||0000-0002-4826-4457
author_role author
author2 Burgas, Albert
Carrion, Gerard
Hermoso, Virgilio|||0000-0003-3205-5033
Feliu, Ponç
Romero, Sergi
Casanovas, Pilar
Sainz de la Maza, Pau
Arnau del Amo, Pedro|||0000-0002-3718-8559
Pino i Vilalta, Joan|||0000-0003-0939-7502
Brotons, Lluís|||0000-0002-4826-4457
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Biodiversity conservation
Environmental change drivers
Pressure
Human frequentation
Charadrius alexandrines
Posidonia oceanica
topic Biodiversity conservation
Environmental change drivers
Pressure
Human frequentation
Charadrius alexandrines
Posidonia oceanica
description Mapping the drivers of change that pose negative pressures or threats to biodiversity can help to identify where biodiversity is most threatened and can be used to determine priority sites to target conservation actions. Overlapping drivers of change maps with distribution maps of sensitive species provides valuable information to identify where and when it would be better to target actions to minimize the risk. The overall aim of this study was to develop a methodology for the integration of risk mapping associated with high human frequentation to guide conservation actions in two case study: the Kentish plover (Charadrius alexandrinus) and Posidonia meadows (Posidonia oceanica), both sensitive to human frequentation. To achieve this, we used two types of geolocated mobile phone information from the STRAVA platform: mapped paths and roads number of visitors at hourly precisions and a sporting activities heatmap representative of a wider period, together with species ecological information and complementary human frequentation data. The final, monthly risk maps identified the areas for Kentish plover with null, low, moderate, high, very high risk attributed to different aspects of the breeding biology of the species, nests, nestlings, and adults. The risk thresholds for nests are lower than for nestlings and adults, thought nestlings were generally less sensitive to human frequentation than adults. Visitors number ranges between 250 and 700 approximately suppose a moderate risk for the three assessed periods, and more than 1200 visitors appeared to prevent the nesting of the species completely. The final risk maps for Posidonia meadows determine the areas with low, moderate, hight and very high risk for human marine activities. Human frequentation values in this case study are scaled between 0 and 1, the results shows that values above 0.1 imply a high risk for the species. Both types of information can be used to target concrete, spatially explicit actions to minimize the risk caused by human frequentation. Furthermore, the first case study would allow to adapt the target actions to the species breeding phenology. The proposed risk assessment workflow is flexible and may be adjusted to match the available information and eventually could be adapted to other conservation objectives arising from different threats. In addition, data gathered from mobile mobility applications show great potential to accurately identify human frequentation, both spatially and temporally.
publishDate 2024
dc.date.none.fl_str_mv 2
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/310002
https://dx.doi.org/urn:doi:10.1016/j.heliyon.2024.e25312
url https://ddd.uab.cat/record/310002
https://dx.doi.org/urn:doi:10.1016/j.heliyon.2024.e25312
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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