Cambios
En el instante 23 de junio de 2026, 15:59:11 UTC,
-
Modificado el valor del campo
spatial_coverage
a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
en Predicting wildlife road-crossing probability from roadkill data using occupancy-detection models.
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| 2 | "access_rights": | 2 | "access_rights": | ||
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| 4 | "alternate_identifier": "DOI: 10.1016/j.scitotenv.2018.06.107", | 4 | "alternate_identifier": "DOI: 10.1016/j.scitotenv.2018.06.107", | ||
| 5 | "author": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | 5 | "author": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | ||
| 6 | Ascens\u00e3o, F.", | 6 | Ascens\u00e3o, F.", | ||
| 7 | "author_name": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | 7 | "author_name": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | ||
| 8 | Ascens\u00e3o, F.", | 8 | Ascens\u00e3o, F.", | ||
| 9 | "classification_variables": { | 9 | "classification_variables": { | ||
| 10 | "es": "" | 10 | "es": "" | ||
| 11 | }, | 11 | }, | ||
| 12 | "conforms_to": [ | 12 | "conforms_to": [ | ||
| 13 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | 13 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | ||
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| 15 | "contact": [ | 15 | "contact": [ | ||
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| 18 | "name": "Organismo publicador del Cat\u00e1logo", | 18 | "name": "Organismo publicador del Cat\u00e1logo", | ||
| 19 | "role": | 19 | "role": | ||
| 20 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | 20 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | ||
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| 22 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | 22 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | ||
| 23 | "url": "https://organismo.example.org/" | 23 | "url": "https://organismo.example.org/" | ||
| 24 | } | 24 | } | ||
| 25 | ], | 25 | ], | ||
| 26 | "contact_email": "organismo@example.org", | 26 | "contact_email": "organismo@example.org", | ||
| 27 | "contact_name": "Organismo publicador del Cat\u00e1logo", | 27 | "contact_name": "Organismo publicador del Cat\u00e1logo", | ||
| 28 | "contact_role": | 28 | "contact_role": | ||
| 29 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | 29 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | ||
| 30 | "contact_uri": | 30 | "contact_uri": | ||
| 31 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | 31 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | ||
| 32 | "contact_url": "https://organismo.example.org/", | 32 | "contact_url": "https://organismo.example.org/", | ||
| 33 | "created": "2025-05-23", | 33 | "created": "2025-05-23", | ||
| 34 | "creator": [ | 34 | "creator": [ | ||
| 35 | { | 35 | { | ||
| 36 | "name": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | 36 | "name": "Santos, R.A.L., Mota-Ferreira, M., Aguiar, L.M.S. y | ||
| 37 | Ascens\u00e3o, F." | 37 | Ascens\u00e3o, F." | ||
| 38 | } | 38 | } | ||
| 39 | ], | 39 | ], | ||
| 40 | "creator_user_id": "d24a314a-79ce-48c0-abd9-54cb42706da4", | 40 | "creator_user_id": "d24a314a-79ce-48c0-abd9-54cb42706da4", | ||
| 41 | "dataset_scope": "non_spatial_dataset", | 41 | "dataset_scope": "non_spatial_dataset", | ||
| 42 | "dcat_type": "http://purl.org/dc/dcmitype/Text", | 42 | "dcat_type": "http://purl.org/dc/dcmitype/Text", | ||
| 43 | "encoding": "UTF-8", | 43 | "encoding": "UTF-8", | ||
| 44 | "featured": false, | 44 | "featured": false, | ||
| 45 | "graphic_overview": | 45 | "graphic_overview": | ||
| 46 | //ars.els-cdn.com/content/image/1-s2.0-S0048969718X0014X-cov200h.gif", | 46 | //ars.els-cdn.com/content/image/1-s2.0-S0048969718X0014X-cov200h.gif", | ||
| 47 | "groups": [], | 47 | "groups": [], | ||
| 48 | "hvd": "non_hvd", | 48 | "hvd": "non_hvd", | ||
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| 55 | "license_id": "cc-by", | 55 | "license_id": "cc-by", | ||
| 56 | "license_title": "Creative Commons Attribution", | 56 | "license_title": "Creative Commons Attribution", | ||
| 57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 58 | "lineage_process_steps": [], | 58 | "lineage_process_steps": [], | ||
| 59 | "lineage_source": [ | 59 | "lineage_source": [ | ||
| 60 | "Science of The Total Environment. Vol. 642", | 60 | "Science of The Total Environment. Vol. 642", | ||
| 61 | "pags. 629-637" | 61 | "pags. 629-637" | ||
| 62 | ], | 62 | ], | ||
| 63 | "maintainer": "", | 63 | "maintainer": "", | ||
| 64 | "maintainer_name": "", | 64 | "maintainer_name": "", | ||
| 65 | "metadata_created": "2026-06-23T14:49:25.393623", | 65 | "metadata_created": "2026-06-23T14:49:25.393623", | ||
| n | 66 | "metadata_modified": "2026-06-23T14:49:25.393628", | n | 66 | "metadata_modified": "2026-06-23T15:59:11.453099", |
| 67 | "metadata_profile": [ | 67 | "metadata_profile": [ | ||
| 68 | "https://www.w3.org/TR/vocab-dcat-3/" | 68 | "https://www.w3.org/TR/vocab-dcat-3/" | ||
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| 70 | "miteco_data_population": { | 70 | "miteco_data_population": { | ||
| 71 | "es": "" | 71 | "es": "" | ||
| 72 | }, | 72 | }, | ||
| 73 | "miteco_data_territory": { | 73 | "miteco_data_territory": { | ||
| 74 | "es": "" | 74 | "es": "" | ||
| 75 | }, | 75 | }, | ||
| 76 | "miteco_dataset_type": | 76 | "miteco_dataset_type": | ||
| 77 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | 77 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | ||
| 78 | "miteco_geo_level": "1", | 78 | "miteco_geo_level": "1", | ||
| 79 | "modified": "2026-06-23", | 79 | "modified": "2026-06-23", | ||
| 80 | "name": "cf9d12f8-cd5b-55a0-b45d-3f70a01f0508", | 80 | "name": "cf9d12f8-cd5b-55a0-b45d-3f70a01f0508", | ||
| 81 | "notes": "Wildlife-vehicle collisions (WVC) represent a major threat | 81 | "notes": "Wildlife-vehicle collisions (WVC) represent a major threat | ||
| 82 | for wildlife and understanding how WVC spatial patterns relate to | 82 | for wildlife and understanding how WVC spatial patterns relate to | ||
| 83 | surrounding land cover can provide valuable information for deciding | 83 | surrounding land cover can provide valuable information for deciding | ||
| 84 | where to implement mitigation measures. However, these relations may | 84 | where to implement mitigation measures. However, these relations may | ||
| 85 | be heavily biased as many casualties are undetected in roadkill | 85 | be heavily biased as many casualties are undetected in roadkill | ||
| 86 | surveys, e.g. due to scavenger activity, which may ultimately | 86 | surveys, e.g. due to scavenger activity, which may ultimately | ||
| 87 | jeopardize conservation actions. We suggest using occupancy models to | 87 | jeopardize conservation actions. We suggest using occupancy models to | ||
| 88 | overcome imperfect detection issues, assuming that | 88 | overcome imperfect detection issues, assuming that | ||
| 89 | \u2018occupancy\u2019 represents the preference for crossing the road | 89 | \u2018occupancy\u2019 represents the preference for crossing the road | ||
| 90 | in a given site, i.e. is a proxy for the roadkill risk; and that the | 90 | in a given site, i.e. is a proxy for the roadkill risk; and that the | ||
| 91 | \u2018detectability\u2019 is the joint probability of an animal being | 91 | \u2018detectability\u2019 is the joint probability of an animal being | ||
| 92 | hit in the crossing site and its carcass being detected afterwards. | 92 | hit in the crossing site and its carcass being detected afterwards. | ||
| 93 | Our main objective was to assess the roadkill risk along roads while | 93 | Our main objective was to assess the roadkill risk along roads while | ||
| 94 | accounting for imperfect detection issues and relate it to land cover | 94 | accounting for imperfect detection issues and relate it to land cover | ||
| 95 | information. We conducted roadkill surveys over 114 km in nine | 95 | information. We conducted roadkill surveys over 114 km in nine | ||
| 96 | different roads, biweekly, for five years (total of 484 surveys), and | 96 | different roads, biweekly, for five years (total of 484 surveys), and | ||
| 97 | developed a Bayesian hierarchical occupancy model to assess the | 97 | developed a Bayesian hierarchical occupancy model to assess the | ||
| 98 | roadkill risk for the six most road-killed taxa for each road section | 98 | roadkill risk for the six most road-killed taxa for each road section | ||
| 99 | and season (WET and DRY). Overall, we estimated a higher roadkill risk | 99 | and season (WET and DRY). Overall, we estimated a higher roadkill risk | ||
| 100 | in road sections surrounded by agriculture, open habitats; and a | 100 | in road sections surrounded by agriculture, open habitats; and a | ||
| 101 | higher detectability within the 4-lane road sections. Our modeling | 101 | higher detectability within the 4-lane road sections. Our modeling | ||
| 102 | framework has a great potential to overcome the limitations related to | 102 | framework has a great potential to overcome the limitations related to | ||
| 103 | imperfect detection when assessing the roadkill risk and may become an | 103 | imperfect detection when assessing the roadkill risk and may become an | ||
| 104 | important tool to predict which road sections have a higher mortality | 104 | important tool to predict which road sections have a higher mortality | ||
| 105 | risk.", | 105 | risk.", | ||
| 106 | "notes_translated": { | 106 | "notes_translated": { | ||
| 107 | "en": "Wildlife-vehicle collisions (WVC) represent a major threat | 107 | "en": "Wildlife-vehicle collisions (WVC) represent a major threat | ||
| 108 | for wildlife and understanding how WVC spatial patterns relate to | 108 | for wildlife and understanding how WVC spatial patterns relate to | ||
| 109 | surrounding land cover can provide valuable information for deciding | 109 | surrounding land cover can provide valuable information for deciding | ||
| 110 | where to implement\u00a0mitigation measures. However, these relations | 110 | where to implement\u00a0mitigation measures. However, these relations | ||
| 111 | may be heavily biased as many casualties are undetected | 111 | may be heavily biased as many casualties are undetected | ||
| 112 | in\u00a0roadkill\u00a0surveys, e.g. due to scavenger activity, which | 112 | in\u00a0roadkill\u00a0surveys, e.g. due to scavenger activity, which | ||
| 113 | may ultimately jeopardize conservation actions. We suggest using | 113 | may ultimately jeopardize conservation actions. We suggest using | ||
| 114 | occupancy models to overcome imperfect detection issues, assuming that | 114 | occupancy models to overcome imperfect detection issues, assuming that | ||
| 115 | \u2018occupancy\u2019 represents the preference for crossing the road | 115 | \u2018occupancy\u2019 represents the preference for crossing the road | ||
| 116 | in a given site, i.e. is a proxy for the roadkill risk; and that the | 116 | in a given site, i.e. is a proxy for the roadkill risk; and that the | ||
| 117 | \u2018detectability\u2019 is the joint probability of an animal being | 117 | \u2018detectability\u2019 is the joint probability of an animal being | ||
| 118 | hit in the crossing site and its carcass being detected afterwards. | 118 | hit in the crossing site and its carcass being detected afterwards. | ||
| 119 | Our main objective was to assess the roadkill risk along roads while | 119 | Our main objective was to assess the roadkill risk along roads while | ||
| 120 | accounting for imperfect detection issues and relate it to land cover | 120 | accounting for imperfect detection issues and relate it to land cover | ||
| 121 | information. We conducted roadkill surveys over 114\u202fkm in nine | 121 | information. We conducted roadkill surveys over 114\u202fkm in nine | ||
| 122 | different roads, biweekly, for five years (total of 484 surveys), and | 122 | different roads, biweekly, for five years (total of 484 surveys), and | ||
| 123 | developed a Bayesian hierarchical occupancy model to assess the | 123 | developed a Bayesian hierarchical occupancy model to assess the | ||
| 124 | roadkill risk for the six most road-killed taxa for each road section | 124 | roadkill risk for the six most road-killed taxa for each road section | ||
| 125 | and\u00a0season\u00a0(WET and DRY). Overall, we estimated a higher | 125 | and\u00a0season\u00a0(WET and DRY). Overall, we estimated a higher | ||
| 126 | roadkill risk in road sections surrounded by agriculture, open | 126 | roadkill risk in road sections surrounded by agriculture, open | ||
| 127 | habitats; and a higher detectability within the 4-lane road sections. | 127 | habitats; and a higher detectability within the 4-lane road sections. | ||
| 128 | Our modeling framework has a great potential to overcome the | 128 | Our modeling framework has a great potential to overcome the | ||
| 129 | limitations related to imperfect detection when assessing the roadkill | 129 | limitations related to imperfect detection when assessing the roadkill | ||
| 130 | risk and may become an important tool to predict which road sections | 130 | risk and may become an important tool to predict which road sections | ||
| 131 | have a higher mortality risk.", | 131 | have a higher mortality risk.", | ||
| 132 | "es": "Wildlife-vehicle collisions (WVC) represent a major threat | 132 | "es": "Wildlife-vehicle collisions (WVC) represent a major threat | ||
| 133 | for wildlife and understanding how WVC spatial patterns relate to | 133 | for wildlife and understanding how WVC spatial patterns relate to | ||
| 134 | surrounding land cover can provide valuable information for deciding | 134 | surrounding land cover can provide valuable information for deciding | ||
| 135 | where to implement mitigation measures. However, these relations may | 135 | where to implement mitigation measures. However, these relations may | ||
| 136 | be heavily biased as many casualties are undetected in roadkill | 136 | be heavily biased as many casualties are undetected in roadkill | ||
| 137 | surveys, e.g. due to scavenger activity, which may ultimately | 137 | surveys, e.g. due to scavenger activity, which may ultimately | ||
| 138 | jeopardize conservation actions. We suggest using occupancy models to | 138 | jeopardize conservation actions. We suggest using occupancy models to | ||
| 139 | overcome imperfect detection issues, assuming that | 139 | overcome imperfect detection issues, assuming that | ||
| 140 | \u2018occupancy\u2019 represents the preference for crossing the road | 140 | \u2018occupancy\u2019 represents the preference for crossing the road | ||
| 141 | in a given site, i.e. is a proxy for the roadkill risk; and that the | 141 | in a given site, i.e. is a proxy for the roadkill risk; and that the | ||
| 142 | \u2018detectability\u2019 is the joint probability of an animal being | 142 | \u2018detectability\u2019 is the joint probability of an animal being | ||
| 143 | hit in the crossing site and its carcass being detected afterwards. | 143 | hit in the crossing site and its carcass being detected afterwards. | ||
| 144 | Our main objective was to assess the roadkill risk along roads while | 144 | Our main objective was to assess the roadkill risk along roads while | ||
| 145 | accounting for imperfect detection issues and relate it to land cover | 145 | accounting for imperfect detection issues and relate it to land cover | ||
| 146 | information. We conducted roadkill surveys over 114 km in nine | 146 | information. We conducted roadkill surveys over 114 km in nine | ||
| 147 | different roads, biweekly, for five years (total of 484 surveys), and | 147 | different roads, biweekly, for five years (total of 484 surveys), and | ||
| 148 | developed a Bayesian hierarchical occupancy model to assess the | 148 | developed a Bayesian hierarchical occupancy model to assess the | ||
| 149 | roadkill risk for the six most road-killed taxa for each road section | 149 | roadkill risk for the six most road-killed taxa for each road section | ||
| 150 | and season (WET and DRY). Overall, we estimated a higher roadkill risk | 150 | and season (WET and DRY). Overall, we estimated a higher roadkill risk | ||
| 151 | in road sections surrounded by agriculture, open habitats; and a | 151 | in road sections surrounded by agriculture, open habitats; and a | ||
| 152 | higher detectability within the 4-lane road sections. Our modeling | 152 | higher detectability within the 4-lane road sections. Our modeling | ||
| 153 | framework has a great potential to overcome the limitations related to | 153 | framework has a great potential to overcome the limitations related to | ||
| 154 | imperfect detection when assessing the roadkill risk and may become an | 154 | imperfect detection when assessing the roadkill risk and may become an | ||
| 155 | important tool to predict which road sections have a higher mortality | 155 | important tool to predict which road sections have a higher mortality | ||
| 156 | risk." | 156 | risk." | ||
| 157 | }, | 157 | }, | ||
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| 181 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | 181 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 182 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 182 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 183 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 183 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
| 184 | Demogr\u00e1fico", | 184 | Demogr\u00e1fico", | ||
| 185 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | 185 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | ||
| 186 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | 186 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | ||
| 187 | "url": "https://www.miteco.gob.es/" | 187 | "url": "https://www.miteco.gob.es/" | ||
| 188 | } | 188 | } | ||
| 189 | ], | 189 | ], | ||
| 190 | "publisher_email": "buzon-bdatos@miteco.es", | 190 | "publisher_email": "buzon-bdatos@miteco.es", | ||
| 191 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | 191 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 192 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 192 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 193 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 193 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
| 194 | Demogr\u00e1fico", | 194 | Demogr\u00e1fico", | ||
| 195 | "publisher_type": | 195 | "publisher_type": | ||
| 196 | "http://purl.org/adms/publishertype/NationalAuthority", | 196 | "http://purl.org/adms/publishertype/NationalAuthority", | ||
| 197 | "publisher_uri": "https://iepnb.es/catalogo/organization/iepnb", | 197 | "publisher_uri": "https://iepnb.es/catalogo/organization/iepnb", | ||
| 198 | "publisher_url": "https://www.miteco.gob.es/", | 198 | "publisher_url": "https://www.miteco.gob.es/", | ||
| 199 | "purpose": { | 199 | "purpose": { | ||
| 200 | "en": "", | 200 | "en": "", | ||
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| 204 | "relationships_as_object": [], | 204 | "relationships_as_object": [], | ||
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| 206 | "resources": [ | 206 | "resources": [ | ||
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| 212 | "cache_last_updated": null, | 212 | "cache_last_updated": null, | ||
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| 214 | "created": "2018-11-15T00:00:00", | 214 | "created": "2018-11-15T00:00:00", | ||
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