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) en Contrasting wolf responses to different paved roads and traffic volume levels.
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| 79 | "notes": "In some regions of the world, large carnivores, such as | 93 | "notes": "In some regions of the world, large carnivores, such as | ||
| 80 | wolves, persist in landscapes with dense networks of paved roads. | 94 | wolves, persist in landscapes with dense networks of paved roads. | ||
| 81 | However, beyond the general impacts of roads on wildlife, we still | 95 | However, beyond the general impacts of roads on wildlife, we still | ||
| 82 | lack information on carnivore responses to different types of roads | 96 | lack information on carnivore responses to different types of roads | ||
| 83 | and traffic volume levels. Using wolves in NW Spain as a case study, | 97 | and traffic volume levels. Using wolves in NW Spain as a case study, | ||
| 84 | we show how wolves respond differently to paved road classes depending | 98 | we show how wolves respond differently to paved road classes depending | ||
| 85 | on road size, speed limit and traffic volume. All wolves evaluated (25 | 99 | on road size, speed limit and traffic volume. All wolves evaluated (25 | ||
| 86 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | 100 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | ||
| 87 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | 101 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | ||
| 88 | all paved road classes were recorded at a mean rate of 0.022 | 102 | all paved road classes were recorded at a mean rate of 0.022 | ||
| 89 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | 103 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | ||
| 90 | and low traffic volume roads more frequently, and more often during | 104 | and low traffic volume roads more frequently, and more often during | ||
| 91 | the night, in order to lessen the chances of encountering traffic. We | 105 | the night, in order to lessen the chances of encountering traffic. We | ||
| 92 | found mortality to be highest on roads with high speed and high | 106 | found mortality to be highest on roads with high speed and high | ||
| 93 | traffic volume. How wolves interact with paved roads should be | 107 | traffic volume. How wolves interact with paved roads should be | ||
| 94 | considered in landscape planning strategies in order to guarantee wolf | 108 | considered in landscape planning strategies in order to guarantee wolf | ||
| 95 | long-term persistence in human-dominated landscapes. In our case, our | 109 | long-term persistence in human-dominated landscapes. In our case, our | ||
| 96 | results support an increasing focus on primary roads (class II) to | 110 | results support an increasing focus on primary roads (class II) to | ||
| 97 | identify segments of these roads where road mitigation efforts should | 111 | identify segments of these roads where road mitigation efforts should | ||
| 98 | be prioritised. Our study also highlights the importance of | 112 | be prioritised. Our study also highlights the importance of | ||
| 99 | considering paved road classes when studying the impact of roads on | 113 | considering paved road classes when studying the impact of roads on | ||
| 100 | wildlife.", | 114 | wildlife.", | ||
| 101 | "notes_translated": { | 115 | "notes_translated": { | ||
| 102 | "en": "In some regions of the world, large carnivores, such as | 116 | "en": "In some regions of the world, large carnivores, such as | ||
| 103 | wolves, persist in landscapes with dense networks of paved roads. | 117 | wolves, persist in landscapes with dense networks of paved roads. | ||
| 104 | However, beyond the general impacts of roads on wildlife, we still | 118 | However, beyond the general impacts of roads on wildlife, we still | ||
| 105 | lack information on carnivore responses to different types of roads | 119 | lack information on carnivore responses to different types of roads | ||
| 106 | and traffic volume levels. Using wolves in NW Spain as a case study, | 120 | and traffic volume levels. Using wolves in NW Spain as a case study, | ||
| 107 | we show how wolves respond differently to paved road classes depending | 121 | we show how wolves respond differently to paved road classes depending | ||
| 108 | on road size, speed limit and traffic volume. All wolves evaluated (25 | 122 | on road size, speed limit and traffic volume. All wolves evaluated (25 | ||
| 109 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | 123 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | ||
| 110 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | 124 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | ||
| 111 | all paved road classes were recorded at a mean rate of 0.022 | 125 | all paved road classes were recorded at a mean rate of 0.022 | ||
| 112 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | 126 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | ||
| 113 | and low traffic volume roads more frequently, and more often during | 127 | and low traffic volume roads more frequently, and more often during | ||
| 114 | the night, in order to lessen the chances of encountering traffic. We | 128 | the night, in order to lessen the chances of encountering traffic. We | ||
| 115 | found mortality to be highest on roads with high speed and high | 129 | found mortality to be highest on roads with high speed and high | ||
| 116 | traffic volume. How wolves interact with paved roads should be | 130 | traffic volume. How wolves interact with paved roads should be | ||
| 117 | considered in landscape planning strategies in order to guarantee wolf | 131 | considered in landscape planning strategies in order to guarantee wolf | ||
| 118 | long-term persistence in human-dominated landscapes. In our case, our | 132 | long-term persistence in human-dominated landscapes. In our case, our | ||
| 119 | results support an increasing focus on primary roads (class II) to | 133 | results support an increasing focus on primary roads (class II) to | ||
| 120 | identify segments of these roads where road mitigation efforts should | 134 | identify segments of these roads where road mitigation efforts should | ||
| 121 | be prioritised. Our study also highlights the importance of | 135 | be prioritised. Our study also highlights the importance of | ||
| 122 | considering paved road classes when studying the impact of roads on | 136 | considering paved road classes when studying the impact of roads on | ||
| 123 | wildlife.", | 137 | wildlife.", | ||
| 124 | "es": "In some regions of the world, large carnivores, such as | 138 | "es": "In some regions of the world, large carnivores, such as | ||
| 125 | wolves, persist in landscapes with dense networks of paved roads. | 139 | wolves, persist in landscapes with dense networks of paved roads. | ||
| 126 | However, beyond the general impacts of roads on wildlife, we still | 140 | However, beyond the general impacts of roads on wildlife, we still | ||
| 127 | lack information on carnivore responses to different types of roads | 141 | lack information on carnivore responses to different types of roads | ||
| 128 | and traffic volume levels. Using wolves in NW Spain as a case study, | 142 | and traffic volume levels. Using wolves in NW Spain as a case study, | ||
| 129 | we show how wolves respond differently to paved road classes depending | 143 | we show how wolves respond differently to paved road classes depending | ||
| 130 | on road size, speed limit and traffic volume. All wolves evaluated (25 | 144 | on road size, speed limit and traffic volume. All wolves evaluated (25 | ||
| 131 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | 145 | GPS collared wolves) crossed paved roads. Overall, during 3,915 | ||
| 132 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | 146 | sampling days, we recorded 29,859 wolf crossings. Wolf crossings of | ||
| 133 | all paved road classes were recorded at a mean rate of 0.022 | 147 | all paved road classes were recorded at a mean rate of 0.022 | ||
| 134 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | 148 | crossings/day/km (95% CI 0.016\u20130.027). Wolves crossed low speed | ||
| 135 | and low traffic volume roads more frequently, and more often during | 149 | and low traffic volume roads more frequently, and more often during | ||
| 136 | the night, in order to lessen the chances of encountering traffic. We | 150 | the night, in order to lessen the chances of encountering traffic. We | ||
| 137 | found mortality to be highest on roads with high speed and high | 151 | found mortality to be highest on roads with high speed and high | ||
| 138 | traffic volume. How wolves interact with paved roads should be | 152 | traffic volume. How wolves interact with paved roads should be | ||
| 139 | considered in landscape planning strategies in order to guarantee wolf | 153 | considered in landscape planning strategies in order to guarantee wolf | ||
| 140 | long-term persistence in human-dominated landscapes. In our case, our | 154 | long-term persistence in human-dominated landscapes. In our case, our | ||
| 141 | results support an increasing focus on primary roads (class II) to | 155 | results support an increasing focus on primary roads (class II) to | ||
| 142 | identify segments of these roads where road mitigation efforts should | 156 | identify segments of these roads where road mitigation efforts should | ||
| 143 | be prioritised. Our study also highlights the importance of | 157 | be prioritised. Our study also highlights the importance of | ||
| 144 | considering paved road classes when studying the impact of roads on | 158 | considering paved road classes when studying the impact of roads on | ||
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