Cambios
En el instante 23 de junio de 2026, 16:00:39 UTC,
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Modificado el valor del campo
spatial_coverage
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en Global impact of roads on carnivores: which species and where?
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| 81 | "notes": "Carnivores have life histories that can render them | 81 | "notes": "Carnivores have life histories that can render them | ||
| 82 | susceptible to roads, such as low population growth rates and great | 82 | susceptible to roads, such as low population growth rates and great | ||
| 83 | mobility. However, little is known about the effect of roads on | 83 | mobility. However, little is known about the effect of roads on | ||
| 84 | population viability. In this study we determined which carnivore | 84 | population viability. In this study we determined which carnivore | ||
| 85 | species are more affected by roads at the global level, and the | 85 | species are more affected by roads at the global level, and the | ||
| 86 | spatial match between the number of species affected and road density. | 86 | spatial match between the number of species affected and road density. | ||
| 87 | We used a reaction-diffusion model describing population dynamics to | 87 | We used a reaction-diffusion model describing population dynamics to | ||
| 88 | predict the impact of a road network on a population including the | 88 | predict the impact of a road network on a population including the | ||
| 89 | following parameters: dispersal distance, growth rate in favorable | 89 | following parameters: dispersal distance, growth rate in favorable | ||
| 90 | natural habitat patches, and growth rate in unfavorable habitats | 90 | natural habitat patches, and growth rate in unfavorable habitats | ||
| 91 | (roads). We applied this approach to 230 carnivore species at a global | 91 | (roads). We applied this approach to 230 carnivore species at a global | ||
| 92 | level. To rank the species most affected by roads we used maximum road | 92 | level. To rank the species most affected by roads we used maximum road | ||
| 93 | density, and the minimum size of the patches between roads, above or | 93 | density, and the minimum size of the patches between roads, above or | ||
| 94 | below which populations cannot persist. We addressed the following | 94 | below which populations cannot persist. We addressed the following | ||
| 95 | tasks: 1) for each species we computed the maximum road density and | 95 | tasks: 1) for each species we computed the maximum road density and | ||
| 96 | the minimum patch size between roads that allow species to occur, | 96 | the minimum patch size between roads that allow species to occur, | ||
| 97 | using species-specific life histories and road mortality data; 2) we | 97 | using species-specific life histories and road mortality data; 2) we | ||
| 98 | obtained the road density, and the number and size of the patches | 98 | obtained the road density, and the number and size of the patches | ||
| 99 | between roads that are observed within each species range, by | 99 | between roads that are observed within each species range, by | ||
| 100 | intersecting each species IUCN range map with roads (density) map from | 100 | intersecting each species IUCN range map with roads (density) map from | ||
| 101 | openstreetmap; 3) we computed for each species the ratio of maximum to | 101 | openstreetmap; 3) we computed for each species the ratio of maximum to | ||
| 102 | observed road density and the number and area of patches that are | 102 | observed road density and the number and area of patches that are | ||
| 103 | bigger than the minimum patch size; 4) we selected the species within | 103 | bigger than the minimum patch size; 4) we selected the species within | ||
| 104 | the 5% percentile for these quantities as the most affected species. | 104 | the 5% percentile for these quantities as the most affected species. | ||
| 105 | We found that family Ursidae has the highest percentage (43%) of | 105 | We found that family Ursidae has the highest percentage (43%) of | ||
| 106 | species within the 5% most affected species, followed by family | 106 | species within the 5% most affected species, followed by family | ||
| 107 | Felidae and family Canidae. We also found that 54% of the most | 107 | Felidae and family Canidae. We also found that 54% of the most | ||
| 108 | affected species are not threatened by roads according to the IUCN, | 108 | affected species are not threatened by roads according to the IUCN, | ||
| 109 | including 10 species that currently have an IUCN \u201cLeast | 109 | including 10 species that currently have an IUCN \u201cLeast | ||
| 110 | Concern\u201d status. The highest numbers of species affected by roads | 110 | Concern\u201d status. The highest numbers of species affected by roads | ||
| 111 | are found in Europe, North and Central America, South of Asia and | 111 | are found in Europe, North and Central America, South of Asia and | ||
| 112 | China, and central-east Africa. However, while in Europe this high | 112 | China, and central-east Africa. However, while in Europe this high | ||
| 113 | number of species is matched by high road density, this is not | 113 | number of species is matched by high road density, this is not | ||
| 114 | necessarily the case in the other regions, indicating that species can | 114 | necessarily the case in the other regions, indicating that species can | ||
| 115 | be affected even at low road densities. Our approach can be extended | 115 | be affected even at low road densities. Our approach can be extended | ||
| 116 | to any species for which the necessary life history data can be | 116 | to any species for which the necessary life history data can be | ||
| 117 | obtained, and can assist in developing conservation and mitigation | 117 | obtained, and can assist in developing conservation and mitigation | ||
| 118 | measures. Furthermore, it can be applied at different spatial or | 118 | measures. Furthermore, it can be applied at different spatial or | ||
| 119 | temporal scales, such as projecting the impact of future road network | 119 | temporal scales, such as projecting the impact of future road network | ||
| 120 | development.", | 120 | development.", | ||
| 121 | "notes_translated": { | 121 | "notes_translated": { | ||
| 122 | "en": "Carnivores have life histories that can render them | 122 | "en": "Carnivores have life histories that can render them | ||
| 123 | susceptible to roads, such as low population growth rates and great | 123 | susceptible to roads, such as low population growth rates and great | ||
| 124 | mobility. However, little is known about the effect of roads on | 124 | mobility. However, little is known about the effect of roads on | ||
| 125 | population viability. In this study we determined which carnivore | 125 | population viability. In this study we determined which carnivore | ||
| 126 | species are more affected by roads at the global level, and the | 126 | species are more affected by roads at the global level, and the | ||
| 127 | spatial match between the number of species affected and road density. | 127 | spatial match between the number of species affected and road density. | ||
| 128 | We used a reaction-diffusion model describing population dynamics to | 128 | We used a reaction-diffusion model describing population dynamics to | ||
| 129 | predict the impact of a road network on a population including the | 129 | predict the impact of a road network on a population including the | ||
| 130 | following parameters: dispersal distance, growth rate in favorable | 130 | following parameters: dispersal distance, growth rate in favorable | ||
| 131 | natural habitat patches, and growth rate in unfavorable habitats | 131 | natural habitat patches, and growth rate in unfavorable habitats | ||
| 132 | (roads). We applied this approach to 230 carnivore species at a global | 132 | (roads). We applied this approach to 230 carnivore species at a global | ||
| 133 | level. To rank the species most affected by roads we used maximum road | 133 | level. To rank the species most affected by roads we used maximum road | ||
| 134 | density, and the minimum size of the patches between roads, above or | 134 | density, and the minimum size of the patches between roads, above or | ||
| 135 | below which populations cannot persist. We addressed the following | 135 | below which populations cannot persist. We addressed the following | ||
| 136 | tasks: 1) for each species we computed the maximum road density and | 136 | tasks: 1) for each species we computed the maximum road density and | ||
| 137 | the minimum patch size between roads that allow species to occur, | 137 | the minimum patch size between roads that allow species to occur, | ||
| 138 | using species-specific life histories and road mortality data; 2) we | 138 | using species-specific life histories and road mortality data; 2) we | ||
| 139 | obtained the road density, and the number and size of the patches | 139 | obtained the road density, and the number and size of the patches | ||
| 140 | between roads that are observed within each species range, by | 140 | between roads that are observed within each species range, by | ||
| 141 | intersecting each species IUCN range map with roads (density) map from | 141 | intersecting each species IUCN range map with roads (density) map from | ||
| 142 | openstreetmap; 3) we computed for each species the ratio of maximum to | 142 | openstreetmap; 3) we computed for each species the ratio of maximum to | ||
| 143 | observed road density and the number and area of patches that are | 143 | observed road density and the number and area of patches that are | ||
| 144 | bigger than the minimum patch size; 4) we selected the species within | 144 | bigger than the minimum patch size; 4) we selected the species within | ||
| 145 | the 5% percentile for these quantities as\nthe most affected species. | 145 | the 5% percentile for these quantities as\nthe most affected species. | ||
| 146 | We found that family Ursidae has the highest percentage (43%) of | 146 | We found that family Ursidae has the highest percentage (43%) of | ||
| 147 | species within the 5% most affected species, followed by family | 147 | species within the 5% most affected species, followed by family | ||
| 148 | Felidae and family Canidae. We also found that 54% of the most | 148 | Felidae and family Canidae. We also found that 54% of the most | ||
| 149 | affected species are not threatened by roads according to the IUCN, | 149 | affected species are not threatened by roads according to the IUCN, | ||
| 150 | including 10 species that currently have an IUCN \u201cLeast | 150 | including 10 species that currently have an IUCN \u201cLeast | ||
| 151 | Concern\u201d status. The highest numbers of species affected by roads | 151 | Concern\u201d status. The highest numbers of species affected by roads | ||
| 152 | are found in Europe, North and Central America, South of Asia and | 152 | are found in Europe, North and Central America, South of Asia and | ||
| 153 | China, and central-east Africa. However, while in Europe this high | 153 | China, and central-east Africa. However, while in Europe this high | ||
| 154 | number of species is matched by high road density, this is not | 154 | number of species is matched by high road density, this is not | ||
| 155 | necessarily the case in the other regions, indicating that species can | 155 | necessarily the case in the other regions, indicating that species can | ||
| 156 | be affected even at low road densities. Our approach can be extended | 156 | be affected even at low road densities. Our approach can be extended | ||
| 157 | to any species for which the necessary life history data can be | 157 | to any species for which the necessary life history data can be | ||
| 158 | obtained, and can assist in developing conservation and mitigation | 158 | obtained, and can assist in developing conservation and mitigation | ||
| 159 | measures. Furthermore, it can be applied at different spatial or | 159 | measures. Furthermore, it can be applied at different spatial or | ||
| 160 | temporal scales, such as projecting the impact of future road network | 160 | temporal scales, such as projecting the impact of future road network | ||
| 161 | development.", | 161 | development.", | ||
| 162 | "es": "Carnivores have life histories that can render them | 162 | "es": "Carnivores have life histories that can render them | ||
| 163 | susceptible to roads, such as low population growth rates and great | 163 | susceptible to roads, such as low population growth rates and great | ||
| 164 | mobility. However, little is known about the effect of roads on | 164 | mobility. However, little is known about the effect of roads on | ||
| 165 | population viability. In this study we determined which carnivore | 165 | population viability. In this study we determined which carnivore | ||
| 166 | species are more affected by roads at the global level, and the | 166 | species are more affected by roads at the global level, and the | ||
| 167 | spatial match between the number of species affected and road density. | 167 | spatial match between the number of species affected and road density. | ||
| 168 | We used a reaction-diffusion model describing population dynamics to | 168 | We used a reaction-diffusion model describing population dynamics to | ||
| 169 | predict the impact of a road network on a population including the | 169 | predict the impact of a road network on a population including the | ||
| 170 | following parameters: dispersal distance, growth rate in favorable | 170 | following parameters: dispersal distance, growth rate in favorable | ||
| 171 | natural habitat patches, and growth rate in unfavorable habitats | 171 | natural habitat patches, and growth rate in unfavorable habitats | ||
| 172 | (roads). We applied this approach to 230 carnivore species at a global | 172 | (roads). We applied this approach to 230 carnivore species at a global | ||
| 173 | level. To rank the species most affected by roads we used maximum road | 173 | level. To rank the species most affected by roads we used maximum road | ||
| 174 | density, and the minimum size of the patches between roads, above or | 174 | density, and the minimum size of the patches between roads, above or | ||
| 175 | below which populations cannot persist. We addressed the following | 175 | below which populations cannot persist. We addressed the following | ||
| 176 | tasks: 1) for each species we computed the maximum road density and | 176 | tasks: 1) for each species we computed the maximum road density and | ||
| 177 | the minimum patch size between roads that allow species to occur, | 177 | the minimum patch size between roads that allow species to occur, | ||
| 178 | using species-specific life histories and road mortality data; 2) we | 178 | using species-specific life histories and road mortality data; 2) we | ||
| 179 | obtained the road density, and the number and size of the patches | 179 | obtained the road density, and the number and size of the patches | ||
| 180 | between roads that are observed within each species range, by | 180 | between roads that are observed within each species range, by | ||
| 181 | intersecting each species IUCN range map with roads (density) map from | 181 | intersecting each species IUCN range map with roads (density) map from | ||
| 182 | openstreetmap; 3) we computed for each species the ratio of maximum to | 182 | openstreetmap; 3) we computed for each species the ratio of maximum to | ||
| 183 | observed road density and the number and area of patches that are | 183 | observed road density and the number and area of patches that are | ||
| 184 | bigger than the minimum patch size; 4) we selected the species within | 184 | bigger than the minimum patch size; 4) we selected the species within | ||
| 185 | the 5% percentile for these quantities as the most affected species. | 185 | the 5% percentile for these quantities as the most affected species. | ||
| 186 | We found that family Ursidae has the highest percentage (43%) of | 186 | We found that family Ursidae has the highest percentage (43%) of | ||
| 187 | species within the 5% most affected species, followed by family | 187 | species within the 5% most affected species, followed by family | ||
| 188 | Felidae and family Canidae. We also found that 54% of the most | 188 | Felidae and family Canidae. We also found that 54% of the most | ||
| 189 | affected species are not threatened by roads according to the IUCN, | 189 | affected species are not threatened by roads according to the IUCN, | ||
| 190 | including 10 species that currently have an IUCN \u201cLeast | 190 | including 10 species that currently have an IUCN \u201cLeast | ||
| 191 | Concern\u201d status. The highest numbers of species affected by roads | 191 | Concern\u201d status. The highest numbers of species affected by roads | ||
| 192 | are found in Europe, North and Central America, South of Asia and | 192 | are found in Europe, North and Central America, South of Asia and | ||
| 193 | China, and central-east Africa. However, while in Europe this high | 193 | China, and central-east Africa. However, while in Europe this high | ||
| 194 | number of species is matched by high road density, this is not | 194 | number of species is matched by high road density, this is not | ||
| 195 | necessarily the case in the other regions, indicating that species can | 195 | necessarily the case in the other regions, indicating that species can | ||
| 196 | be affected even at low road densities. Our approach can be extended | 196 | be affected even at low road densities. Our approach can be extended | ||
| 197 | to any species for which the necessary life history data can be | 197 | to any species for which the necessary life history data can be | ||
| 198 | obtained, and can assist in developing conservation and mitigation | 198 | obtained, and can assist in developing conservation and mitigation | ||
| 199 | measures. Furthermore, it can be applied at different spatial or | 199 | measures. Furthermore, it can be applied at different spatial or | ||
| 200 | temporal scales, such as projecting the impact of future road network | 200 | temporal scales, such as projecting the impact of future road network | ||
| 201 | development." | 201 | development." | ||
| 202 | }, | 202 | }, | ||
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