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En el instante 23 de junio de 2026, 15:52:05 UTC,
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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 Prioritizing road‐kill mitigation areas: a spatially explicit national‐scale model for an elusive carnivore.
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| 82 | "notes": "Roads impact wildlife in different ways, among which road | 82 | "notes": "Roads impact wildlife in different ways, among which road | ||
| 83 | mortality has been the most studied. Budgets in conservation biology | 83 | mortality has been the most studied. Budgets in conservation biology | ||
| 84 | are usually small, and macroecological approaches have been employed | 84 | are usually small, and macroecological approaches have been employed | ||
| 85 | in recent years as the first steps towards guiding management. | 85 | in recent years as the first steps towards guiding management. | ||
| 86 | Carnivores are particularly vulnerable to mortality on roads due to | 86 | Carnivores are particularly vulnerable to mortality on roads due to | ||
| 87 | their elevated ecological needs (low population density, often low | 87 | their elevated ecological needs (low population density, often low | ||
| 88 | fecundity and relatively large home ranges). Our aim was to develop a | 88 | fecundity and relatively large home ranges). Our aim was to develop a | ||
| 89 | ranking methodology to prioritize specific areas for road-kill | 89 | ranking methodology to prioritize specific areas for road-kill | ||
| 90 | mitigation. We studied 271 occurrences of live polecats (Mustela | 90 | mitigation. We studied 271 occurrences of live polecats (Mustela | ||
| 91 | putorius) and 212 polecat road-kill sites in continental Italy. We | 91 | putorius) and 212 polecat road-kill sites in continental Italy. We | ||
| 92 | used the former to generate a species distribution model and the | 92 | used the former to generate a species distribution model and the | ||
| 93 | latter to identify the variables that determined the road-kill risk. | 93 | latter to identify the variables that determined the road-kill risk. | ||
| 94 | Habitat suitability was derived from a spatial distribution model that | 94 | Habitat suitability was derived from a spatial distribution model that | ||
| 95 | combined the polecat occurrence data with a set of environmental | 95 | combined the polecat occurrence data with a set of environmental | ||
| 96 | variables. Prey availability was derived from the combination of | 96 | variables. Prey availability was derived from the combination of | ||
| 97 | suitability maps of 26 prey species. We used generalized linear | 97 | suitability maps of 26 prey species. We used generalized linear | ||
| 98 | modelling to identify the set of variables that best explained the | 98 | modelling to identify the set of variables that best explained the | ||
| 99 | occurrence of road-kills. The variables included in the best | 99 | occurrence of road-kills. The variables included in the best | ||
| 100 | performing model were combined to produce the road risk map and to | 100 | performing model were combined to produce the road risk map and to | ||
| 101 | identify the areas with the highest densities of road sections with | 101 | identify the areas with the highest densities of road sections with | ||
| 102 | highest risk. Road-kills were positively associated with the road | 102 | highest risk. Road-kills were positively associated with the road | ||
| 103 | sections with higher broad-leaved forest coverage. The number of | 103 | sections with higher broad-leaved forest coverage. The number of | ||
| 104 | casualties was found to be higher than expected on the national and | 104 | casualties was found to be higher than expected on the national and | ||
| 105 | provincial roads and lower than expected on the local roads. his | 105 | provincial roads and lower than expected on the local roads. his | ||
| 106 | approach allowed us to identify the 10 \u00d7 10 km cells where | 106 | approach allowed us to identify the 10 \u00d7 10 km cells where | ||
| 107 | mitigation actions to prevent road-kills should be prioritized. As | 107 | mitigation actions to prevent road-kills should be prioritized. As | ||
| 108 | mitigation actions (wildlife passage construction, fencing) are | 108 | mitigation actions (wildlife passage construction, fencing) are | ||
| 109 | expensive, measures should be prioritized on the specific high-risk | 109 | expensive, measures should be prioritized on the specific high-risk | ||
| 110 | road sections inside these selected cells, avoiding generalized | 110 | road sections inside these selected cells, avoiding generalized | ||
| 111 | mitigation plans.", | 111 | mitigation plans.", | ||
| 112 | "notes_translated": { | 112 | "notes_translated": { | ||
| 113 | "en": "Roads impact wildlife in different ways, among which road | 113 | "en": "Roads impact wildlife in different ways, among which road | ||
| 114 | mortality has been the most studied. Budgets in conservation biology | 114 | mortality has been the most studied. Budgets in conservation biology | ||
| 115 | are usually small, and macroecological approaches have been employed | 115 | are usually small, and macroecological approaches have been employed | ||
| 116 | in recent years as the first steps towards guiding management. | 116 | in recent years as the first steps towards guiding management. | ||
| 117 | Carnivores are particularly vulnerable to mortality on roads due to | 117 | Carnivores are particularly vulnerable to mortality on roads due to | ||
| 118 | their elevated ecological needs (low population density, often low | 118 | their elevated ecological needs (low population density, often low | ||
| 119 | fecundity and relatively large home ranges). Our aim was to develop a | 119 | fecundity and relatively large home ranges). Our aim was to develop a | ||
| 120 | ranking methodology to prioritize specific areas for road-kill | 120 | ranking methodology to prioritize specific areas for road-kill | ||
| 121 | mitigation. We studied 271 occurrences of live polecats (Mustela | 121 | mitigation. We studied 271 occurrences of live polecats (Mustela | ||
| 122 | putorius) and 212 polecat road-kill sites in continental Italy. We | 122 | putorius) and 212 polecat road-kill sites in continental Italy. We | ||
| 123 | used the former to generate a species distribution model and the | 123 | used the former to generate a species distribution model and the | ||
| 124 | latter to identify the variables that determined the road-kill risk. | 124 | latter to identify the variables that determined the road-kill risk. | ||
| 125 | Habitat suitability was derived from a spatial distribution model that | 125 | Habitat suitability was derived from a spatial distribution model that | ||
| 126 | combined the polecat occurrence data with a set of environmental | 126 | combined the polecat occurrence data with a set of environmental | ||
| 127 | variables. Prey availability was derived from the combination of | 127 | variables. Prey availability was derived from the combination of | ||
| 128 | suitability maps of 26 prey species. We used generalized linear | 128 | suitability maps of 26 prey species. We used generalized linear | ||
| 129 | modelling to identify the set of variables that best explained the | 129 | modelling to identify the set of variables that best explained the | ||
| 130 | occurrence of road-kills. The variables included in the best | 130 | occurrence of road-kills. The variables included in the best | ||
| 131 | performing model were combined to produce the road risk map and to | 131 | performing model were combined to produce the road risk map and to | ||
| 132 | identify the areas with the highest densities of road sections with | 132 | identify the areas with the highest densities of road sections with | ||
| 133 | highest risk. Road-kills were positively associated with the road | 133 | highest risk. Road-kills were positively associated with the road | ||
| 134 | sections with higher broad-leaved forest coverage. The number of | 134 | sections with higher broad-leaved forest coverage. The number of | ||
| 135 | casualties was found to be higher than expected on the national and | 135 | casualties was found to be higher than expected on the national and | ||
| 136 | provincial roads and lower than expected on the local roads. his | 136 | provincial roads and lower than expected on the local roads. his | ||
| 137 | approach allowed us to identify the 10 \u00d7 10 km cells where | 137 | approach allowed us to identify the 10 \u00d7 10 km cells where | ||
| 138 | mitigation actions to prevent road-kills should be prioritized. As | 138 | mitigation actions to prevent road-kills should be prioritized. As | ||
| 139 | mitigation actions (wildlife passage construction, fencing) are | 139 | mitigation actions (wildlife passage construction, fencing) are | ||
| 140 | expensive, measures should be prioritized on the specific high-risk | 140 | expensive, measures should be prioritized on the specific high-risk | ||
| 141 | road sections inside these selected cells, avoiding generalized | 141 | road sections inside these selected cells, avoiding generalized | ||
| 142 | mitigation plans.", | 142 | mitigation plans.", | ||
| 143 | "es": "Roads impact wildlife in different ways, among which road | 143 | "es": "Roads impact wildlife in different ways, among which road | ||
| 144 | mortality has been the most studied. Budgets in conservation biology | 144 | mortality has been the most studied. Budgets in conservation biology | ||
| 145 | are usually small, and macroecological approaches have been employed | 145 | are usually small, and macroecological approaches have been employed | ||
| 146 | in recent years as the first steps towards guiding management. | 146 | in recent years as the first steps towards guiding management. | ||
| 147 | Carnivores are particularly vulnerable to mortality on roads due to | 147 | Carnivores are particularly vulnerable to mortality on roads due to | ||
| 148 | their elevated ecological needs (low population density, often low | 148 | their elevated ecological needs (low population density, often low | ||
| 149 | fecundity and relatively large home ranges). Our aim was to develop a | 149 | fecundity and relatively large home ranges). Our aim was to develop a | ||
| 150 | ranking methodology to prioritize specific areas for road-kill | 150 | ranking methodology to prioritize specific areas for road-kill | ||
| 151 | mitigation. We studied 271 occurrences of live polecats (Mustela | 151 | mitigation. We studied 271 occurrences of live polecats (Mustela | ||
| 152 | putorius) and 212 polecat road-kill sites in continental Italy. We | 152 | putorius) and 212 polecat road-kill sites in continental Italy. We | ||
| 153 | used the former to generate a species distribution model and the | 153 | used the former to generate a species distribution model and the | ||
| 154 | latter to identify the variables that determined the road-kill risk. | 154 | latter to identify the variables that determined the road-kill risk. | ||
| 155 | Habitat suitability was derived from a spatial distribution model that | 155 | Habitat suitability was derived from a spatial distribution model that | ||
| 156 | combined the polecat occurrence data with a set of environmental | 156 | combined the polecat occurrence data with a set of environmental | ||
| 157 | variables. Prey availability was derived from the combination of | 157 | variables. Prey availability was derived from the combination of | ||
| 158 | suitability maps of 26 prey species. We used generalized linear | 158 | suitability maps of 26 prey species. We used generalized linear | ||
| 159 | modelling to identify the set of variables that best explained the | 159 | modelling to identify the set of variables that best explained the | ||
| 160 | occurrence of road-kills. The variables included in the best | 160 | occurrence of road-kills. The variables included in the best | ||
| 161 | performing model were combined to produce the road risk map and to | 161 | performing model were combined to produce the road risk map and to | ||
| 162 | identify the areas with the highest densities of road sections with | 162 | identify the areas with the highest densities of road sections with | ||
| 163 | highest risk. Road-kills were positively associated with the road | 163 | highest risk. Road-kills were positively associated with the road | ||
| 164 | sections with higher broad-leaved forest coverage. The number of | 164 | sections with higher broad-leaved forest coverage. The number of | ||
| 165 | casualties was found to be higher than expected on the national and | 165 | casualties was found to be higher than expected on the national and | ||
| 166 | provincial roads and lower than expected on the local roads. his | 166 | provincial roads and lower than expected on the local roads. his | ||
| 167 | approach allowed us to identify the 10 \u00d7 10 km cells where | 167 | approach allowed us to identify the 10 \u00d7 10 km cells where | ||
| 168 | mitigation actions to prevent road-kills should be prioritized. As | 168 | mitigation actions to prevent road-kills should be prioritized. As | ||
| 169 | mitigation actions (wildlife passage construction, fencing) are | 169 | mitigation actions (wildlife passage construction, fencing) are | ||
| 170 | expensive, measures should be prioritized on the specific high-risk | 170 | expensive, measures should be prioritized on the specific high-risk | ||
| 171 | road sections inside these selected cells, avoiding generalized | 171 | road sections inside these selected cells, avoiding generalized | ||
| 172 | mitigation plans." | 172 | mitigation plans." | ||
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