Cambios
En el instante 23 de junio de 2026, 16:14:10 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 Roadkill risk and population vulnerability in European birds and mammals.
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| 81 | "name": "067ca60f-b00d-5d53-bf83-5ecb4641f01c", | 81 | "name": "067ca60f-b00d-5d53-bf83-5ecb4641f01c", | ||
| 82 | "notes": "Roads represent a threat to biodiversity, primarily | 82 | "notes": "Roads represent a threat to biodiversity, primarily | ||
| 83 | through increased mortality from collisions with vehicles. Although | 83 | through increased mortality from collisions with vehicles. Although | ||
| 84 | estimating roadkill rates is an important first step, how roads affect | 84 | estimating roadkill rates is an important first step, how roads affect | ||
| 85 | long\u2010term population persistence must also be assessed. We | 85 | long\u2010term population persistence must also be assessed. We | ||
| 86 | developed a trait\u2010based model to predict roadkill rates for | 86 | developed a trait\u2010based model to predict roadkill rates for | ||
| 87 | terrestrial bird and mammalian species in Europe and used a | 87 | terrestrial bird and mammalian species in Europe and used a | ||
| 88 | generalized population model to estimate their long\u2010term | 88 | generalized population model to estimate their long\u2010term | ||
| 89 | vulnerability to road mortality. We found that ~194 million birds and | 89 | vulnerability to road mortality. We found that ~194 million birds and | ||
| 90 | ~29 million mammals may be killed each year on European roads. The | 90 | ~29 million mammals may be killed each year on European roads. The | ||
| 91 | species that were predicted to experience the highest mortality rates | 91 | species that were predicted to experience the highest mortality rates | ||
| 92 | due to roads were not necessarily the same as those whose | 92 | due to roads were not necessarily the same as those whose | ||
| 93 | long\u2010term persistence was most vulnerable to road mortality. When | 93 | long\u2010term persistence was most vulnerable to road mortality. When | ||
| 94 | evaluating which species or areas could be most affected by road | 94 | evaluating which species or areas could be most affected by road | ||
| 95 | development projects, failure to consider how roadkill affects | 95 | development projects, failure to consider how roadkill affects | ||
| 96 | populations may result in \u2026\n Palabras clave: Bird, Mammal", | 96 | populations may result in \u2026\n Palabras clave: Bird, Mammal", | ||
| 97 | "notes_translated": { | 97 | "notes_translated": { | ||
| 98 | "en": "Roads represent a threat to biodiversity, primarily through | 98 | "en": "Roads represent a threat to biodiversity, primarily through | ||
| 99 | increased mortality from collisions with vehicles. Although estimating | 99 | increased mortality from collisions with vehicles. Although estimating | ||
| 100 | roadkill rates is an important first step, how roads affect | 100 | roadkill rates is an important first step, how roads affect | ||
| 101 | long\u2010term population persistence must also be assessed. We | 101 | long\u2010term population persistence must also be assessed. We | ||
| 102 | developed a trait\u2010based model to predict roadkill rates for | 102 | developed a trait\u2010based model to predict roadkill rates for | ||
| 103 | terrestrial bird and mammalian species in Europe and used a | 103 | terrestrial bird and mammalian species in Europe and used a | ||
| 104 | generalized population model to estimate their long\u2010term | 104 | generalized population model to estimate their long\u2010term | ||
| 105 | vulnerability to road mortality. We found that ~194 million birds and | 105 | vulnerability to road mortality. We found that ~194 million birds and | ||
| 106 | ~29 million mammals may be killed each year on European roads. The | 106 | ~29 million mammals may be killed each year on European roads. The | ||
| 107 | species that were predicted to experience the highest mortality rates | 107 | species that were predicted to experience the highest mortality rates | ||
| 108 | due to roads were not necessarily the same as those whose | 108 | due to roads were not necessarily the same as those whose | ||
| 109 | long\u2010term persistence was most vulnerable to road mortality. When | 109 | long\u2010term persistence was most vulnerable to road mortality. When | ||
| 110 | evaluating which species or areas could be most affected by road | 110 | evaluating which species or areas could be most affected by road | ||
| 111 | development projects, failure to consider how roadkill affects | 111 | development projects, failure to consider how roadkill affects | ||
| 112 | populations may result in \u2026", | 112 | populations may result in \u2026", | ||
| 113 | "es": "Roads represent a threat to biodiversity, primarily through | 113 | "es": "Roads represent a threat to biodiversity, primarily through | ||
| 114 | increased mortality from collisions with vehicles. Although estimating | 114 | increased mortality from collisions with vehicles. Although estimating | ||
| 115 | roadkill rates is an important first step, how roads affect | 115 | roadkill rates is an important first step, how roads affect | ||
| 116 | long\u2010term population persistence must also be assessed. We | 116 | long\u2010term population persistence must also be assessed. We | ||
| 117 | developed a trait\u2010based model to predict roadkill rates for | 117 | developed a trait\u2010based model to predict roadkill rates for | ||
| 118 | terrestrial bird and mammalian species in Europe and used a | 118 | terrestrial bird and mammalian species in Europe and used a | ||
| 119 | generalized population model to estimate their long\u2010term | 119 | generalized population model to estimate their long\u2010term | ||
| 120 | vulnerability to road mortality. We found that ~194 million birds and | 120 | vulnerability to road mortality. We found that ~194 million birds and | ||
| 121 | ~29 million mammals may be killed each year on European roads. The | 121 | ~29 million mammals may be killed each year on European roads. The | ||
| 122 | species that were predicted to experience the highest mortality rates | 122 | species that were predicted to experience the highest mortality rates | ||
| 123 | due to roads were not necessarily the same as those whose | 123 | due to roads were not necessarily the same as those whose | ||
| 124 | long\u2010term persistence was most vulnerable to road mortality. When | 124 | long\u2010term persistence was most vulnerable to road mortality. When | ||
| 125 | evaluating which species or areas could be most affected by road | 125 | evaluating which species or areas could be most affected by road | ||
| 126 | development projects, failure to consider how roadkill affects | 126 | development projects, failure to consider how roadkill affects | ||
| 127 | populations may result in \u2026\n Palabras clave: Bird, Mammal" | 127 | populations may result in \u2026\n Palabras clave: Bird, Mammal" | ||
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| 263 | "text": "Espa\u00f1a", | 234 | "text": "Espa\u00f1a", | ||
| 264 | "uri": | 235 | "uri": | ||
| 265 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 236 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
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| 268 | "spatial_resolution_in_meters": "", | 239 | "spatial_resolution_in_meters": "", | ||
| 269 | "spatial_uri": | 240 | "spatial_uri": | ||
| 270 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 241 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 271 | "state": "active", | 242 | "state": "active", | ||
| 272 | "study_variables": { | 243 | "study_variables": { | ||
| 273 | "es": "" | 244 | "es": "" | ||
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| 275 | "tag_uri": [ | 246 | "tag_uri": [ | ||
| 276 | 247 | ||||
| 277 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 248 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 278 | ], | 249 | ], | ||
| 279 | "tags": [ | 250 | "tags": [ | ||
| 280 | { | 251 | { | ||
| 281 | "display_name": "accidentes-y-atropellos-de-fauna", | 252 | "display_name": "accidentes-y-atropellos-de-fauna", | ||
| 282 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | 253 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | ||
| 283 | "name": "accidentes-y-atropellos-de-fauna", | 254 | "name": "accidentes-y-atropellos-de-fauna", | ||
| 284 | "state": "active", | 255 | "state": "active", | ||
| 285 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
| 286 | }, | 257 | }, | ||
| 287 | { | 258 | { | ||
| 288 | "display_name": "aves", | 259 | "display_name": "aves", | ||
| 289 | "id": "074e8d16-47c0-4913-88d6-220cfb4a4e94", | 260 | "id": "074e8d16-47c0-4913-88d6-220cfb4a4e94", | ||
| 290 | "name": "aves", | 261 | "name": "aves", | ||
| 291 | "state": "active", | 262 | "state": "active", | ||
| 292 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
| 293 | }, | 264 | }, | ||
| 294 | { | 265 | { | ||
| 295 | "display_name": "fragmentacion", | 266 | "display_name": "fragmentacion", | ||
| 296 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | 267 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | ||
| 297 | "name": "fragmentacion", | 268 | "name": "fragmentacion", | ||
| 298 | "state": "active", | 269 | "state": "active", | ||
| 299 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
| 300 | }, | 271 | }, | ||
| 301 | { | 272 | { | ||
| 302 | "display_name": "mamiferos", | 273 | "display_name": "mamiferos", | ||
| 303 | "id": "d085936a-b524-40a6-a2a3-f78e8d820b00", | 274 | "id": "d085936a-b524-40a6-a2a3-f78e8d820b00", | ||
| 304 | "name": "mamiferos", | 275 | "name": "mamiferos", | ||
| 305 | "state": "active", | 276 | "state": "active", | ||
| 306 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
| 307 | } | 278 | } | ||
| 308 | ], | 279 | ], | ||
| 309 | "thematic_area": [ | 280 | "thematic_area": [ | ||
| 310 | "especies_silvestres" | 281 | "especies_silvestres" | ||
| 311 | ], | 282 | ], | ||
| 312 | "theme_es": [ | 283 | "theme_es": [ | ||
| 313 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 284 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 314 | ], | 285 | ], | ||
| 315 | "title": "Roadkill risk and population vulnerability in European | 286 | "title": "Roadkill risk and population vulnerability in European | ||
| 316 | birds and mammals.", | 287 | birds and mammals.", | ||
| 317 | "title_translated": { | 288 | "title_translated": { | ||
| 318 | "en": "", | 289 | "en": "", | ||
| 319 | "es": "Roadkill risk and population vulnerability in European | 290 | "es": "Roadkill risk and population vulnerability in European | ||
| 320 | birds and mammals." | 291 | birds and mammals." | ||
| 321 | }, | 292 | }, | ||
| 322 | "topic": | 293 | "topic": | ||
| 323 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 294 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 324 | "type": "dataset", | 295 | "type": "dataset", | ||
| 325 | "url": | 296 | "url": | ||
| 326 | //iepnb.es:443/catalogo/dataset/067ca60f-b00d-5d53-bf83-5ecb4641f01c", | 297 | //iepnb.es:443/catalogo/dataset/067ca60f-b00d-5d53-bf83-5ecb4641f01c", | ||
| 327 | "version": "", | 298 | "version": "", | ||
| 328 | "version_notes": { | 299 | "version_notes": { | ||
| 329 | "en": "", | 300 | "en": "", | ||
| 330 | "es": "" | 301 | "es": "" | ||
| 331 | } | 302 | } | ||
| 332 | } | 303 | } |