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En el instante 25 de junio de 2026, 12:37:47 UTC,
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en Reply: Modeling scenarios of population response to roads as a conservation risk assessment strategy. -
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) en Reply: Modeling scenarios of population response to roads as a conservation risk assessment strategy.
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| 70 | "miteco_data_population": { | 84 | "miteco_data_population": { | ||
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| 81 | "notes": "Wildlife is under increasing pressure from environmental | 95 | "notes": "Wildlife is under increasing pressure from environmental | ||
| 82 | change, including habitat loss and fragmentation with increasing | 96 | change, including habitat loss and fragmentation with increasing | ||
| 83 | additional non-natural mortality due to roads. To understand the | 97 | additional non-natural mortality due to roads. To understand the | ||
| 84 | effects of roads on wildlife populations, and identify critical areas | 98 | effects of roads on wildlife populations, and identify critical areas | ||
| 85 | to prioritize actions, transportation and conservation managers and | 99 | to prioritize actions, transportation and conservation managers and | ||
| 86 | policymakers need to know how species respond towards roads. For | 100 | policymakers need to know how species respond towards roads. For | ||
| 87 | decades predicting the effects of roads on wildlife populations has | 101 | decades predicting the effects of roads on wildlife populations has | ||
| 88 | remained a challenge for conservation biologists due to the complexity | 102 | remained a challenge for conservation biologists due to the complexity | ||
| 89 | of species data and the analysis of species-road interactions. We see | 103 | of species data and the analysis of species-road interactions. We see | ||
| 90 | an urgent need to move beyond the quantification of road-kills and | 104 | an urgent need to move beyond the quantification of road-kills and | ||
| 91 | evaluate the population-level consequences using advanced modeling | 105 | evaluate the population-level consequences using advanced modeling | ||
| 92 | approaches to address species vulnerability to road systems and where | 106 | approaches to address species vulnerability to road systems and where | ||
| 93 | population viability risks are highest. We suggest using a high level | 107 | population viability risks are highest. We suggest using a high level | ||
| 94 | assessment and macroecological approach as \u2026", | 108 | assessment and macroecological approach as \u2026", | ||
| 95 | "notes_translated": { | 109 | "notes_translated": { | ||
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| 98 | additional non-natural mortality due to roads. To understand the | 112 | additional non-natural mortality due to roads. To understand the | ||
| 99 | effects of roads on wildlife populations, and identify critical areas | 113 | effects of roads on wildlife populations, and identify critical areas | ||
| 100 | to prioritize actions, transportation and conservation managers and | 114 | to prioritize actions, transportation and conservation managers and | ||
| 101 | policymakers need to know how species respond towards roads. For | 115 | policymakers need to know how species respond towards roads. For | ||
| 102 | decades predicting the effects of roads on wildlife populations has | 116 | decades predicting the effects of roads on wildlife populations has | ||
| 103 | remained a challenge for conservation biologists due to the complexity | 117 | remained a challenge for conservation biologists due to the complexity | ||
| 104 | of species data and the analysis of species-road interactions. We see | 118 | of species data and the analysis of species-road interactions. We see | ||
| 105 | an urgent need to move beyond the quantification of road-kills and | 119 | an urgent need to move beyond the quantification of road-kills and | ||
| 106 | evaluate the population-level consequences using advanced modeling | 120 | evaluate the population-level consequences using advanced modeling | ||
| 107 | approaches to address species vulnerability to road systems and where | 121 | approaches to address species vulnerability to road systems and where | ||
| 108 | population viability risks are highest. We suggest using a high level | 122 | population viability risks are highest. We suggest using a high level | ||
| 109 | assessment and macroecological approach as \u2026", | 123 | assessment and macroecological approach as \u2026", | ||
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| 114 | to prioritize actions, transportation and conservation managers and | 128 | to prioritize actions, transportation and conservation managers and | ||
| 115 | policymakers need to know how species respond towards roads. For | 129 | policymakers need to know how species respond towards roads. For | ||
| 116 | decades predicting the effects of roads on wildlife populations has | 130 | decades predicting the effects of roads on wildlife populations has | ||
| 117 | remained a challenge for conservation biologists due to the complexity | 131 | remained a challenge for conservation biologists due to the complexity | ||
| 118 | of species data and the analysis of species-road interactions. We see | 132 | of species data and the analysis of species-road interactions. We see | ||
| 119 | an urgent need to move beyond the quantification of road-kills and | 133 | an urgent need to move beyond the quantification of road-kills and | ||
| 120 | evaluate the population-level consequences using advanced modeling | 134 | evaluate the population-level consequences using advanced modeling | ||
| 121 | approaches to address species vulnerability to road systems and where | 135 | approaches to address species vulnerability to road systems and where | ||
| 122 | population viability risks are highest. We suggest using a high level | 136 | population viability risks are highest. We suggest using a high level | ||
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| 226 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | 240 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | ||
| 227 | 27.64]]]}", | 241 | 27.64]]]}", | ||
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| 229 | 35.715]}", | 243 | 35.715]}", | ||
| 230 | "text": "Espa\u00f1a", | 244 | "text": "Espa\u00f1a", | ||
| 231 | "uri": | 245 | "uri": | ||
| 232 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 246 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
| 233 | } | 247 | } | ||
| 234 | ], | 248 | ], | ||
| 235 | "spatial_resolution_in_meters": "", | 249 | "spatial_resolution_in_meters": "", | ||
| 236 | "spatial_uri": | 250 | "spatial_uri": | ||
| 237 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 251 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 238 | "state": "active", | 252 | "state": "active", | ||
| 239 | "study_variables": { | 253 | "study_variables": { | ||
| 240 | "es": "" | 254 | "es": "" | ||
| 241 | }, | 255 | }, | ||
| 242 | "tag_uri": [ | 256 | "tag_uri": [ | ||
| 243 | 257 | ||||
| 244 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 258 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 245 | ], | 259 | ], | ||
| 246 | "tags": [ | 260 | "tags": [ | ||
| 247 | { | 261 | { | ||
| 248 | "display_name": "aspectos-globales-sobre-fragmentacion-de", | 262 | "display_name": "aspectos-globales-sobre-fragmentacion-de", | ||
| 249 | "id": "2379c860-0540-450a-9a23-72454ee80469", | 263 | "id": "2379c860-0540-450a-9a23-72454ee80469", | ||
| 250 | "name": "aspectos-globales-sobre-fragmentacion-de", | 264 | "name": "aspectos-globales-sobre-fragmentacion-de", | ||
| 251 | "state": "active", | 265 | "state": "active", | ||
| 252 | "vocabulary_id": null | 266 | "vocabulary_id": null | ||
| 253 | }, | 267 | }, | ||
| 254 | { | 268 | { | ||
| 255 | "display_name": "fragmentacion", | 269 | "display_name": "fragmentacion", | ||
| 256 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | 270 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | ||
| 257 | "name": "fragmentacion", | 271 | "name": "fragmentacion", | ||
| 258 | "state": "active", | 272 | "state": "active", | ||
| 259 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
| 260 | } | 274 | } | ||
| 261 | ], | 275 | ], | ||
| 262 | "thematic_area": [ | 276 | "thematic_area": [ | ||
| 263 | "especies_silvestres" | 277 | "especies_silvestres" | ||
| 264 | ], | 278 | ], | ||
| 265 | "theme_es": [ | 279 | "theme_es": [ | ||
| 266 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 280 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 267 | ], | 281 | ], | ||
| 268 | "title": "Reply: Modeling scenarios of population response to roads | 282 | "title": "Reply: Modeling scenarios of population response to roads | ||
| 269 | as a conservation risk assessment strategy.", | 283 | as a conservation risk assessment strategy.", | ||
| 270 | "title_translated": { | 284 | "title_translated": { | ||
| 271 | "en": "", | 285 | "en": "", | ||
| 272 | "es": "Reply: Modeling scenarios of population response to roads | 286 | "es": "Reply: Modeling scenarios of population response to roads | ||
| 273 | as a conservation risk assessment strategy." | 287 | as a conservation risk assessment strategy." | ||
| 274 | }, | 288 | }, | ||
| 275 | "topic": | 289 | "topic": | ||
| 276 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 290 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 277 | "type": "dataset", | 291 | "type": "dataset", | ||
| 278 | "url": | 292 | "url": | ||
| 279 | //iepnb.es:443/catalogo/dataset/5baadfd6-4e4d-5b5d-b0a6-4382bb6d83d8", | 293 | //iepnb.es:443/catalogo/dataset/5baadfd6-4e4d-5b5d-b0a6-4382bb6d83d8", | ||
| 280 | "version": "", | 294 | "version": "", | ||
| 281 | "version_notes": { | 295 | "version_notes": { | ||
| 282 | "en": "", | 296 | "en": "", | ||
| 283 | "es": "" | 297 | "es": "" | ||
| 284 | } | 298 | } | ||
| 285 | } | 299 | } |