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En el instante 25 de junio de 2026, 12:34:43 UTC,
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Modificado el valor del campo
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a2026-06-25
en Transport infrastructure shapes foraging habitat in a raptor community. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Transport infrastructure shapes foraging habitat in a raptor community.
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| 78 | increasing in size and length in many countries, with the subsequent | 92 | increasing in size and length in many countries, with the subsequent | ||
| 79 | alteration of landscapes and wildlife communities. Nonetheless, their | 93 | alteration of landscapes and wildlife communities. Nonetheless, their | ||
| 80 | effects on habitat selection by raptors are still poorly understood. | 94 | effects on habitat selection by raptors are still poorly understood. | ||
| 81 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | 95 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | ||
| 82 | response to conventional roads and high capacity motorways at the | 96 | response to conventional roads and high capacity motorways at the | ||
| 83 | landscape scale, and compared their effects with those of other | 97 | landscape scale, and compared their effects with those of other | ||
| 84 | variables, such as habitat structure, food availability, and presence | 98 | variables, such as habitat structure, food availability, and presence | ||
| 85 | of potential interspecific competitors. We also analyzed whether the | 99 | of potential interspecific competitors. We also analyzed whether the | ||
| 86 | raptors\u2019 response towards infrastructure depends on the spatial | 100 | raptors\u2019 response towards infrastructure depends on the spatial | ||
| 87 | scale of observation, comparing the attraction or avoidance behavior | 101 | scale of observation, comparing the attraction or avoidance behavior | ||
| 88 | of the species at the landscape scale with the response of individuals | 102 | of the species at the landscape scale with the response of individuals | ||
| 89 | observed in the proximity of the infrastructure. Based on ecological | 103 | observed in the proximity of the infrastructure. Based on ecological | ||
| 90 | hypotheses for foraging habitat selection, we built generalized linear | 104 | hypotheses for foraging habitat selection, we built generalized linear | ||
| 91 | mixed models, selected the best models according to Akaike Information | 105 | mixed models, selected the best models according to Akaike Information | ||
| 92 | Criterion and assessed variable importance by Akaike weights. At the | 106 | Criterion and assessed variable importance by Akaike weights. At the | ||
| 93 | community level, the traffic volume was the most relevant variable in | 107 | community level, the traffic volume was the most relevant variable in | ||
| 94 | the landscape for foraging habitat selection. Abundance, richness, and | 108 | the landscape for foraging habitat selection. Abundance, richness, and | ||
| 95 | diversity values reached their maximum at medium traffic volumes and | 109 | diversity values reached their maximum at medium traffic volumes and | ||
| 96 | decreased at highest traffic volumes. Individual species showed | 110 | decreased at highest traffic volumes. Individual species showed | ||
| 97 | different degrees of tolerance toward traffic, from higher abundance | 111 | different degrees of tolerance toward traffic, from higher abundance | ||
| 98 | in areas with high traffic values to avoidance of it. Medium-sized | 112 | in areas with high traffic values to avoidance of it. Medium-sized | ||
| 99 | opportunistic raptors increased their abundance near the traffic | 113 | opportunistic raptors increased their abundance near the traffic | ||
| 100 | infrastructures, large scavenger raptors avoided areas with higher | 114 | infrastructures, large scavenger raptors avoided areas with higher | ||
| 101 | traffic values, and other species showed no direct response to traffic | 115 | traffic values, and other species showed no direct response to traffic | ||
| 102 | but to the presence of prey. Finally, our cross-scale analysis | 116 | but to the presence of prey. Finally, our cross-scale analysis | ||
| 103 | revealed that the effect of transport infrastructures on the behavior | 117 | revealed that the effect of transport infrastructures on the behavior | ||
| 104 | of some species might be detectable only at a broad scale. Also, food | 118 | of some species might be detectable only at a broad scale. Also, food | ||
| 105 | availability may attract raptor species to risky areas such as | 119 | availability may attract raptor species to risky areas such as | ||
| 106 | motorways.\n Palabras clave: Community, Habitat, Infrastructure | 120 | motorways.\n Palabras clave: Community, Habitat, Infrastructure | ||
| 107 | planning", | 121 | planning", | ||
| 108 | "notes_translated": { | 122 | "notes_translated": { | ||
| 109 | "en": "Transport infrastructure elements are widespread and | 123 | "en": "Transport infrastructure elements are widespread and | ||
| 110 | increasing in size and length in many countries, with the subsequent | 124 | increasing in size and length in many countries, with the subsequent | ||
| 111 | alteration of landscapes and wildlife communities. Nonetheless, their | 125 | alteration of landscapes and wildlife communities. Nonetheless, their | ||
| 112 | effects on habitat selection by raptors are still poorly understood. | 126 | effects on habitat selection by raptors are still poorly understood. | ||
| 113 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | 127 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | ||
| 114 | response to conventional roads and high capacity motorways at the | 128 | response to conventional roads and high capacity motorways at the | ||
| 115 | landscape scale, and compared their effects with those of other | 129 | landscape scale, and compared their effects with those of other | ||
| 116 | variables, such as habitat structure, food availability, and presence | 130 | variables, such as habitat structure, food availability, and presence | ||
| 117 | of potential interspecific competitors. We also analyzed whether the | 131 | of potential interspecific competitors. We also analyzed whether the | ||
| 118 | raptors\u2019 response towards infrastructure depends on the spatial | 132 | raptors\u2019 response towards infrastructure depends on the spatial | ||
| 119 | scale of observation, comparing the attraction or avoidance behavior | 133 | scale of observation, comparing the attraction or avoidance behavior | ||
| 120 | of the species at the landscape scale with the response of individuals | 134 | of the species at the landscape scale with the response of individuals | ||
| 121 | observed in the proximity of the infrastructure. Based on ecological | 135 | observed in the proximity of the infrastructure. Based on ecological | ||
| 122 | hypotheses for foraging habitat selection, we built generalized linear | 136 | hypotheses for foraging habitat selection, we built generalized linear | ||
| 123 | mixed models, selected the best models according to Akaike Information | 137 | mixed models, selected the best models according to Akaike Information | ||
| 124 | Criterion and assessed variable importance by Akaike weights. At the | 138 | Criterion and assessed variable importance by Akaike weights. At the | ||
| 125 | community level, the traffic volume was the most relevant variable in | 139 | community level, the traffic volume was the most relevant variable in | ||
| 126 | the landscape for foraging habitat selection. Abundance, richness, and | 140 | the landscape for foraging habitat selection. Abundance, richness, and | ||
| 127 | diversity values reached their maximum at medium traffic volumes and | 141 | diversity values reached their maximum at medium traffic volumes and | ||
| 128 | decreased at highest traffic volumes. Individual species showed | 142 | decreased at highest traffic volumes. Individual species showed | ||
| 129 | different degrees of tolerance toward traffic, from higher abundance | 143 | different degrees of tolerance toward traffic, from higher abundance | ||
| 130 | in areas with high traffic values to avoidance of it. Medium-sized | 144 | in areas with high traffic values to avoidance of it. Medium-sized | ||
| 131 | opportunistic raptors increased their abundance near the traffic | 145 | opportunistic raptors increased their abundance near the traffic | ||
| 132 | infrastructures, large scavenger raptors avoided areas with higher | 146 | infrastructures, large scavenger raptors avoided areas with higher | ||
| 133 | traffic values, and other species showed no direct \u2026", | 147 | traffic values, and other species showed no direct \u2026", | ||
| 134 | "es": "Transport infrastructure elements are widespread and | 148 | "es": "Transport infrastructure elements are widespread and | ||
| 135 | increasing in size and length in many countries, with the subsequent | 149 | increasing in size and length in many countries, with the subsequent | ||
| 136 | alteration of landscapes and wildlife communities. Nonetheless, their | 150 | alteration of landscapes and wildlife communities. Nonetheless, their | ||
| 137 | effects on habitat selection by raptors are still poorly understood. | 151 | effects on habitat selection by raptors are still poorly understood. | ||
| 138 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | 152 | In this paper, we analyzed raptors\u2019 foraging habitat selection in | ||
| 139 | response to conventional roads and high capacity motorways at the | 153 | response to conventional roads and high capacity motorways at the | ||
| 140 | landscape scale, and compared their effects with those of other | 154 | landscape scale, and compared their effects with those of other | ||
| 141 | variables, such as habitat structure, food availability, and presence | 155 | variables, such as habitat structure, food availability, and presence | ||
| 142 | of potential interspecific competitors. We also analyzed whether the | 156 | of potential interspecific competitors. We also analyzed whether the | ||
| 143 | raptors\u2019 response towards infrastructure depends on the spatial | 157 | raptors\u2019 response towards infrastructure depends on the spatial | ||
| 144 | scale of observation, comparing the attraction or avoidance behavior | 158 | scale of observation, comparing the attraction or avoidance behavior | ||
| 145 | of the species at the landscape scale with the response of individuals | 159 | of the species at the landscape scale with the response of individuals | ||
| 146 | observed in the proximity of the infrastructure. Based on ecological | 160 | observed in the proximity of the infrastructure. Based on ecological | ||
| 147 | hypotheses for foraging habitat selection, we built generalized linear | 161 | hypotheses for foraging habitat selection, we built generalized linear | ||
| 148 | mixed models, selected the best models according to Akaike Information | 162 | mixed models, selected the best models according to Akaike Information | ||
| 149 | Criterion and assessed variable importance by Akaike weights. At the | 163 | Criterion and assessed variable importance by Akaike weights. At the | ||
| 150 | community level, the traffic volume was the most relevant variable in | 164 | community level, the traffic volume was the most relevant variable in | ||
| 151 | the landscape for foraging habitat selection. Abundance, richness, and | 165 | the landscape for foraging habitat selection. Abundance, richness, and | ||
| 152 | diversity values reached their maximum at medium traffic volumes and | 166 | diversity values reached their maximum at medium traffic volumes and | ||
| 153 | decreased at highest traffic volumes. Individual species showed | 167 | decreased at highest traffic volumes. Individual species showed | ||
| 154 | different degrees of tolerance toward traffic, from higher abundance | 168 | different degrees of tolerance toward traffic, from higher abundance | ||
| 155 | in areas with high traffic values to avoidance of it. Medium-sized | 169 | in areas with high traffic values to avoidance of it. Medium-sized | ||
| 156 | opportunistic raptors increased their abundance near the traffic | 170 | opportunistic raptors increased their abundance near the traffic | ||
| 157 | infrastructures, large scavenger raptors avoided areas with higher | 171 | infrastructures, large scavenger raptors avoided areas with higher | ||
| 158 | traffic values, and other species showed no direct response to traffic | 172 | traffic values, and other species showed no direct response to traffic | ||
| 159 | but to the presence of prey. Finally, our cross-scale analysis | 173 | but to the presence of prey. Finally, our cross-scale analysis | ||
| 160 | revealed that the effect of transport infrastructures on the behavior | 174 | revealed that the effect of transport infrastructures on the behavior | ||
| 161 | of some species might be detectable only at a broad scale. Also, food | 175 | of some species might be detectable only at a broad scale. Also, food | ||
| 162 | availability may attract raptor species to risky areas such as | 176 | availability may attract raptor species to risky areas such as | ||
| 163 | motorways.\n Palabras clave: Community, Habitat, Infrastructure | 177 | motorways.\n Palabras clave: Community, Habitat, Infrastructure | ||
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