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En el instante 25 de junio de 2026, 12:39:19 UTC,
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Modificado el valor del campo
modified
a2026-06-25
en Road and traffic factors correlated to wildlife–vehicle collisions in Galicia (Spain). -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Road and traffic factors correlated to wildlife–vehicle collisions in Galicia (Spain).
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| 77 | "notes": "Road barrier effect is among the foremost negative impacts | 91 | "notes": "Road barrier effect is among the foremost negative impacts | ||
| 78 | of roads on wildlife. Knowledge of the factors responsible for the | 92 | of roads on wildlife. Knowledge of the factors responsible for the | ||
| 79 | road barrier effect is crucial to understand and predict species\u2019 | 93 | road barrier effect is crucial to understand and predict species\u2019 | ||
| 80 | responses to roads, and to improve mitigation measures in the context | 94 | responses to roads, and to improve mitigation measures in the context | ||
| 81 | of management and conservation. We built a set of hypothesis aiming to | 95 | of management and conservation. We built a set of hypothesis aiming to | ||
| 82 | infer the most probable cause of road barrier effect (traffic effect | 96 | infer the most probable cause of road barrier effect (traffic effect | ||
| 83 | or road surface avoidance), while controlling for the potentially | 97 | or road surface avoidance), while controlling for the potentially | ||
| 84 | confounding effects road width, traffic volume and road age. The wood | 98 | confounding effects road width, traffic volume and road age. The wood | ||
| 85 | mouse Apodemus sylvaticus was used as a model species of small and | 99 | mouse Apodemus sylvaticus was used as a model species of small and | ||
| 86 | forest-dwelling mammals, which are more likely to be affected by gaps | 100 | forest-dwelling mammals, which are more likely to be affected by gaps | ||
| 87 | in cover such as those resulting from road construction. We confront | 101 | in cover such as those resulting from road construction. We confront | ||
| 88 | genetic patterns from opposite and same roadsides from samples of | 102 | genetic patterns from opposite and same roadsides from samples of | ||
| 89 | three highways and used computer simulations to infer migration rates | 103 | three highways and used computer simulations to infer migration rates | ||
| 90 | between opposite roadsides. Genetic patterns from 302 samples (ca. 100 | 104 | between opposite roadsides. Genetic patterns from 302 samples (ca. 100 | ||
| 91 | per highway) suggest that the highway barrier effect for wood mouse is | 105 | per highway) suggest that the highway barrier effect for wood mouse is | ||
| 92 | due to road surface avoidance. However, from the simulations we | 106 | due to road surface avoidance. However, from the simulations we | ||
| 93 | estimated a migration rate of about 5% between opposite roadsides, | 107 | estimated a migration rate of about 5% between opposite roadsides, | ||
| 94 | indicating that some limited gene flow across highways does occur. To | 108 | indicating that some limited gene flow across highways does occur. To | ||
| 95 | reduce highway impact on population genetic diversity and structure, | 109 | reduce highway impact on population genetic diversity and structure, | ||
| 96 | possible mitigation measures could include retrofitting of culverts | 110 | possible mitigation measures could include retrofitting of culverts | ||
| 97 | and underpasses to increase their attractiveness and facilitate their | 111 | and underpasses to increase their attractiveness and facilitate their | ||
| 98 | use by wood mice and other species, and setting aside roadside strips | 112 | use by wood mice and other species, and setting aside roadside strips | ||
| 99 | without vegetation removal to facilitate establishment and dispersal | 113 | without vegetation removal to facilitate establishment and dispersal | ||
| 100 | of small mammals.", | 114 | of small mammals.", | ||
| 101 | "notes_translated": { | 115 | "notes_translated": { | ||
| 102 | "en": "Road barrier effect is among the foremost negative impacts | 116 | "en": "Road barrier effect is among the foremost negative impacts | ||
| 103 | of roads on wildlife. Knowledge of the factors responsible for the | 117 | of roads on wildlife. Knowledge of the factors responsible for the | ||
| 104 | road barrier effect is crucial to understand and predict species\u2019 | 118 | road barrier effect is crucial to understand and predict species\u2019 | ||
| 105 | responses to roads, and to improve mitigation measures in the context | 119 | responses to roads, and to improve mitigation measures in the context | ||
| 106 | of management and conservation. We built a set of hypothesis aiming to | 120 | of management and conservation. We built a set of hypothesis aiming to | ||
| 107 | infer the most probable cause of road barrier effect (traffic effect | 121 | infer the most probable cause of road barrier effect (traffic effect | ||
| 108 | or road surface avoidance), while controlling for the potentially | 122 | or road surface avoidance), while controlling for the potentially | ||
| 109 | confounding effects road width, traffic volume and road age. The wood | 123 | confounding effects road width, traffic volume and road age. The wood | ||
| 110 | mouse\u00a0Apodemus sylvaticus\u00a0was used as a model species of | 124 | mouse\u00a0Apodemus sylvaticus\u00a0was used as a model species of | ||
| 111 | small and forest-dwelling mammals, which are more likely to be | 125 | small and forest-dwelling mammals, which are more likely to be | ||
| 112 | affected by gaps in cover such as those resulting from road | 126 | affected by gaps in cover such as those resulting from road | ||
| 113 | construction. We confront genetic patterns from opposite and same | 127 | construction. We confront genetic patterns from opposite and same | ||
| 114 | roadsides from samples of three highways and used computer simulations | 128 | roadsides from samples of three highways and used computer simulations | ||
| 115 | to infer migration rates between opposite roadsides. Genetic patterns | 129 | to infer migration rates between opposite roadsides. Genetic patterns | ||
| 116 | from 302 samples (ca. 100 per highway) suggest that the highway | 130 | from 302 samples (ca. 100 per highway) suggest that the highway | ||
| 117 | barrier effect for wood mouse is due to road surface avoidance. | 131 | barrier effect for wood mouse is due to road surface avoidance. | ||
| 118 | However, from the simulations we estimated a migration rate of about | 132 | However, from the simulations we estimated a migration rate of about | ||
| 119 | 5% between opposite roadsides, indicating that some limited gene flow | 133 | 5% between opposite roadsides, indicating that some limited gene flow | ||
| 120 | across highways does occur. To reduce highway impact on population | 134 | across highways does occur. To reduce highway impact on population | ||
| 121 | genetic diversity and structure, possible mitigation measures could | 135 | genetic diversity and structure, possible mitigation measures could | ||
| 122 | include retrofitting of culverts and underpasses to increase their | 136 | include retrofitting of culverts and underpasses to increase their | ||
| 123 | attractiveness and facilitate their use by wood mice and other | 137 | attractiveness and facilitate their use by wood mice and other | ||
| 124 | species, and setting aside roadside strips without vegetation removal | 138 | species, and setting aside roadside strips without vegetation removal | ||
| 125 | to facilitate establishment and dispersal of small mammals.", | 139 | to facilitate establishment and dispersal of small mammals.", | ||
| 126 | "es": "Road barrier effect is among the foremost negative impacts | 140 | "es": "Road barrier effect is among the foremost negative impacts | ||
| 127 | of roads on wildlife. Knowledge of the factors responsible for the | 141 | of roads on wildlife. Knowledge of the factors responsible for the | ||
| 128 | road barrier effect is crucial to understand and predict species\u2019 | 142 | road barrier effect is crucial to understand and predict species\u2019 | ||
| 129 | responses to roads, and to improve mitigation measures in the context | 143 | responses to roads, and to improve mitigation measures in the context | ||
| 130 | of management and conservation. We built a set of hypothesis aiming to | 144 | of management and conservation. We built a set of hypothesis aiming to | ||
| 131 | infer the most probable cause of road barrier effect (traffic effect | 145 | infer the most probable cause of road barrier effect (traffic effect | ||
| 132 | or road surface avoidance), while controlling for the potentially | 146 | or road surface avoidance), while controlling for the potentially | ||
| 133 | confounding effects road width, traffic volume and road age. The wood | 147 | confounding effects road width, traffic volume and road age. The wood | ||
| 134 | mouse Apodemus sylvaticus was used as a model species of small and | 148 | mouse Apodemus sylvaticus was used as a model species of small and | ||
| 135 | forest-dwelling mammals, which are more likely to be affected by gaps | 149 | forest-dwelling mammals, which are more likely to be affected by gaps | ||
| 136 | in cover such as those resulting from road construction. We confront | 150 | in cover such as those resulting from road construction. We confront | ||
| 137 | genetic patterns from opposite and same roadsides from samples of | 151 | genetic patterns from opposite and same roadsides from samples of | ||
| 138 | three highways and used computer simulations to infer migration rates | 152 | three highways and used computer simulations to infer migration rates | ||
| 139 | between opposite roadsides. Genetic patterns from 302 samples (ca. 100 | 153 | between opposite roadsides. Genetic patterns from 302 samples (ca. 100 | ||
| 140 | per highway) suggest that the highway barrier effect for wood mouse is | 154 | per highway) suggest that the highway barrier effect for wood mouse is | ||
| 141 | due to road surface avoidance. However, from the simulations we | 155 | due to road surface avoidance. However, from the simulations we | ||
| 142 | estimated a migration rate of about 5% between opposite roadsides, | 156 | estimated a migration rate of about 5% between opposite roadsides, | ||
| 143 | indicating that some limited gene flow across highways does occur. To | 157 | indicating that some limited gene flow across highways does occur. To | ||
| 144 | reduce highway impact on population genetic diversity and structure, | 158 | reduce highway impact on population genetic diversity and structure, | ||
| 145 | possible mitigation measures could include retrofitting of culverts | 159 | possible mitigation measures could include retrofitting of culverts | ||
| 146 | and underpasses to increase their attractiveness and facilitate their | 160 | and underpasses to increase their attractiveness and facilitate their | ||
| 147 | use by wood mice and other species, and setting aside roadside strips | 161 | use by wood mice and other species, and setting aside roadside strips | ||
| 148 | without vegetation removal to facilitate establishment and dispersal | 162 | without vegetation removal to facilitate establishment and dispersal | ||
| 149 | of small mammals." | 163 | of small mammals." | ||
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