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en Roadkill as a threat to global mammal conservation. -
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del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Roadkill as a threat to global mammal conservation.
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| 85 | "notes": "The ongoing expansion of the global road network and the | 99 | "notes": "The ongoing expansion of the global road network and the | ||
| 86 | associated growth in traffic intensity represent a threat for many | 100 | associated growth in traffic intensity represent a threat for many | ||
| 87 | vertebrate species. With 25 million kilometres of new roads expected | 101 | vertebrate species. With 25 million kilometres of new roads expected | ||
| 88 | by 2050, largely in developing countries with exceptional biological | 102 | by 2050, largely in developing countries with exceptional biological | ||
| 89 | diversity, we urgently need to understand how roadkill (mortality from | 103 | diversity, we urgently need to understand how roadkill (mortality from | ||
| 90 | collisions with vehicles) impacts wildlife. Here we present a new | 104 | collisions with vehicles) impacts wildlife. Here we present a new | ||
| 91 | framework combining a global dataset of observed roadkill rates, | 105 | framework combining a global dataset of observed roadkill rates, | ||
| 92 | life-history data, and geographic distribution maps to identify which | 106 | life-history data, and geographic distribution maps to identify which | ||
| 93 | terrestrial mammal species worldwide may be at risk of extinction from | 107 | terrestrial mammal species worldwide may be at risk of extinction from | ||
| 94 | roadkill and the world regions where these vulnerable species occur. | 108 | roadkill and the world regions where these vulnerable species occur. | ||
| 95 | We compiled a total of 1310 roadkill rate records of 392 different | 109 | We compiled a total of 1310 roadkill rate records of 392 different | ||
| 96 | mammalian species from 177 references. We found that populations of | 110 | mammalian species from 177 references. We found that populations of | ||
| 97 | four species may be at risk of extinction if observed roadkill levels | 111 | four species may be at risk of extinction if observed roadkill levels | ||
| 98 | persist on the roads around the studied areas: maned wolf Chrysocyon | 112 | persist on the roads around the studied areas: maned wolf Chrysocyon | ||
| 99 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | 113 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | ||
| 100 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | 114 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | ||
| 101 | pardus (North India). The global assessment for 4,664 mammals revealed | 115 | pardus (North India). The global assessment for 4,664 mammals revealed | ||
| 102 | that roads can pose a threat to both common, non-threatened species, | 116 | that roads can pose a threat to both common, non-threatened species, | ||
| 103 | as well as to mammals already threatened by other human activities. | 117 | as well as to mammals already threatened by other human activities. | ||
| 104 | Species vulnerable to roadkill and higher road densities coincide in | 118 | Species vulnerable to roadkill and higher road densities coincide in | ||
| 105 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | 119 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | ||
| 106 | Archipelago and the Andean regions. Worryingly, these are areas with | 120 | Archipelago and the Andean regions. Worryingly, these are areas with | ||
| 107 | high biodiversity and likely to see road expansion in the future. Our | 121 | high biodiversity and likely to see road expansion in the future. Our | ||
| 108 | study emphasizes the need to extend research beyond roadkill counts to | 122 | study emphasizes the need to extend research beyond roadkill counts to | ||
| 109 | evaluate the long-term consequences of this added mortality. The | 123 | evaluate the long-term consequences of this added mortality. The | ||
| 110 | proposed framework offers a tool to identify species for which road | 124 | proposed framework offers a tool to identify species for which road | ||
| 111 | mortality can increase risk of extinction and thus, can be useful to | 125 | mortality can increase risk of extinction and thus, can be useful to | ||
| 112 | prioritize conservation and mitigation efforts.", | 126 | prioritize conservation and mitigation efforts.", | ||
| 113 | "notes_translated": { | 127 | "notes_translated": { | ||
| 114 | "en": "The ongoing expansion of the global road network and the | 128 | "en": "The ongoing expansion of the global road network and the | ||
| 115 | associated growth in traffic intensity represent a threat for many | 129 | associated growth in traffic intensity represent a threat for many | ||
| 116 | vertebrate species. With 25 million kilometres of new roads expected | 130 | vertebrate species. With 25 million kilometres of new roads expected | ||
| 117 | by 2050, largely in developing countries with exceptional biological | 131 | by 2050, largely in developing countries with exceptional biological | ||
| 118 | diversity, we urgently need to understand how roadkill (mortality from | 132 | diversity, we urgently need to understand how roadkill (mortality from | ||
| 119 | collisions with vehicles) impacts wildlife. Here we present a new | 133 | collisions with vehicles) impacts wildlife. Here we present a new | ||
| 120 | framework combining a global dataset of observed roadkill rates, | 134 | framework combining a global dataset of observed roadkill rates, | ||
| 121 | life-history data, and geographic distribution maps to identify which | 135 | life-history data, and geographic distribution maps to identify which | ||
| 122 | terrestrial mammal species worldwide may be at risk of extinction from | 136 | terrestrial mammal species worldwide may be at risk of extinction from | ||
| 123 | roadkill and the world regions where these vulnerable species occur. | 137 | roadkill and the world regions where these vulnerable species occur. | ||
| 124 | We compiled a total of 1310 roadkill rate records of 392 different | 138 | We compiled a total of 1310 roadkill rate records of 392 different | ||
| 125 | mammalian species from 177 references. We found that populations of | 139 | mammalian species from 177 references. We found that populations of | ||
| 126 | four species may be at risk of extinction if observed roadkill levels | 140 | four species may be at risk of extinction if observed roadkill levels | ||
| 127 | persist on the roads around the studied areas: maned wolf Chrysocyon | 141 | persist on the roads around the studied areas: maned wolf Chrysocyon | ||
| 128 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | 142 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | ||
| 129 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | 143 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | ||
| 130 | pardus (North India). The global assessment for 4,664 mammals revealed | 144 | pardus (North India). The global assessment for 4,664 mammals revealed | ||
| 131 | that roads can pose a threat to both common, non-threatened species, | 145 | that roads can pose a threat to both common, non-threatened species, | ||
| 132 | as well as to mammals already threatened by other human activities. | 146 | as well as to mammals already threatened by other human activities. | ||
| 133 | Species vulnerable to roadkill and higher road densities coincide in | 147 | Species vulnerable to roadkill and higher road densities coincide in | ||
| 134 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | 148 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | ||
| 135 | Archipelago and the Andean regions. Worryingly, these are areas with | 149 | Archipelago and the Andean regions. Worryingly, these are areas with | ||
| 136 | high biodiversity and likely to see road expansion in the future. Our | 150 | high biodiversity and likely to see road expansion in the future. Our | ||
| 137 | study emphasizes the need to extend research beyond roadkill counts to | 151 | study emphasizes the need to extend research beyond roadkill counts to | ||
| 138 | evaluate the long-term consequences of this added mortality. The | 152 | evaluate the long-term consequences of this added mortality. The | ||
| 139 | proposed framework offers a tool to identify species for which road | 153 | proposed framework offers a tool to identify species for which road | ||
| 140 | mortality can increase risk of extinction and thus, can be useful to | 154 | mortality can increase risk of extinction and thus, can be useful to | ||
| 141 | prioritize conservation and mitigation efforts.", | 155 | prioritize conservation and mitigation efforts.", | ||
| 142 | "es": "The ongoing expansion of the global road network and the | 156 | "es": "The ongoing expansion of the global road network and the | ||
| 143 | associated growth in traffic intensity represent a threat for many | 157 | associated growth in traffic intensity represent a threat for many | ||
| 144 | vertebrate species. With 25 million kilometres of new roads expected | 158 | vertebrate species. With 25 million kilometres of new roads expected | ||
| 145 | by 2050, largely in developing countries with exceptional biological | 159 | by 2050, largely in developing countries with exceptional biological | ||
| 146 | diversity, we urgently need to understand how roadkill (mortality from | 160 | diversity, we urgently need to understand how roadkill (mortality from | ||
| 147 | collisions with vehicles) impacts wildlife. Here we present a new | 161 | collisions with vehicles) impacts wildlife. Here we present a new | ||
| 148 | framework combining a global dataset of observed roadkill rates, | 162 | framework combining a global dataset of observed roadkill rates, | ||
| 149 | life-history data, and geographic distribution maps to identify which | 163 | life-history data, and geographic distribution maps to identify which | ||
| 150 | terrestrial mammal species worldwide may be at risk of extinction from | 164 | terrestrial mammal species worldwide may be at risk of extinction from | ||
| 151 | roadkill and the world regions where these vulnerable species occur. | 165 | roadkill and the world regions where these vulnerable species occur. | ||
| 152 | We compiled a total of 1310 roadkill rate records of 392 different | 166 | We compiled a total of 1310 roadkill rate records of 392 different | ||
| 153 | mammalian species from 177 references. We found that populations of | 167 | mammalian species from 177 references. We found that populations of | ||
| 154 | four species may be at risk of extinction if observed roadkill levels | 168 | four species may be at risk of extinction if observed roadkill levels | ||
| 155 | persist on the roads around the studied areas: maned wolf Chrysocyon | 169 | persist on the roads around the studied areas: maned wolf Chrysocyon | ||
| 156 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | 170 | brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), | ||
| 157 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | 171 | brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera | ||
| 158 | pardus (North India). The global assessment for 4,664 mammals revealed | 172 | pardus (North India). The global assessment for 4,664 mammals revealed | ||
| 159 | that roads can pose a threat to both common, non-threatened species, | 173 | that roads can pose a threat to both common, non-threatened species, | ||
| 160 | as well as to mammals already threatened by other human activities. | 174 | as well as to mammals already threatened by other human activities. | ||
| 161 | Species vulnerable to roadkill and higher road densities coincide in | 175 | Species vulnerable to roadkill and higher road densities coincide in | ||
| 162 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | 176 | South Africa, Ghana, central and Southeast Asia, parts of the Malay | ||
| 163 | Archipelago and the Andean regions. Worryingly, these are areas with | 177 | Archipelago and the Andean regions. Worryingly, these are areas with | ||
| 164 | high biodiversity and likely to see road expansion in the future. Our | 178 | high biodiversity and likely to see road expansion in the future. Our | ||
| 165 | study emphasizes the need to extend research beyond roadkill counts to | 179 | study emphasizes the need to extend research beyond roadkill counts to | ||
| 166 | evaluate the long-term consequences of this added mortality. The | 180 | evaluate the long-term consequences of this added mortality. The | ||
| 167 | proposed framework offers a tool to identify species for which road | 181 | proposed framework offers a tool to identify species for which road | ||
| 168 | mortality can increase risk of extinction and thus, can be useful to | 182 | mortality can increase risk of extinction and thus, can be useful to | ||
| 169 | prioritize conservation and mitigation efforts." | 183 | prioritize conservation and mitigation efforts." | ||
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