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en Prediction of Iberian lynx road–mortality in southern Spain: a new approach using the MaxEnt algorithm. -
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) en Prediction of Iberian lynx road–mortality in southern Spain: a new approach using the MaxEnt algorithm.
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| 82 | "notes": "In recent years, the Iberian lynx (Lynx pardinus) has | 96 | "notes": "In recent years, the Iberian lynx (Lynx pardinus) has | ||
| 83 | experienced a significant increase in the size of its population and | 97 | experienced a significant increase in the size of its population and | ||
| 84 | in its distribution. The species currently occupies areas in which it | 98 | in its distribution. The species currently occupies areas in which it | ||
| 85 | had been extinct for decades and new road mortality black spots have | 99 | had been extinct for decades and new road mortality black spots have | ||
| 86 | been identified. Its conservation requires an intensive risk | 100 | been identified. Its conservation requires an intensive risk | ||
| 87 | assessment of road\u2013deaths in potential future distribution areas. | 101 | assessment of road\u2013deaths in potential future distribution areas. | ||
| 88 | Using the MaxEnt algorithm we aimed to identify the roads where there | 102 | Using the MaxEnt algorithm we aimed to identify the roads where there | ||
| 89 | is a greater risk of road collision for the Iberian lynx. More than | 103 | is a greater risk of road collision for the Iberian lynx. More than | ||
| 90 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | 104 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | ||
| 91 | Both road\u2013related and habitat variables were included in the | 105 | Both road\u2013related and habitat variables were included in the | ||
| 92 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | 106 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | ||
| 93 | classified as high risk road. Our results could help plan future | 107 | classified as high risk road. Our results could help plan future | ||
| 94 | conservation strategies. To our knowledge, this is the first time that | 108 | conservation strategies. To our knowledge, this is the first time that | ||
| 95 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | 109 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | ||
| 96 | predictions about wildlife road mortality.", | 110 | predictions about wildlife road mortality.", | ||
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| 98 | "en": "In recent years, the Iberian lynx (Lynx pardinus) has | 112 | "en": "In recent years, the Iberian lynx (Lynx pardinus) has | ||
| 99 | experienced a significant increase in the size of its population and | 113 | experienced a significant increase in the size of its population and | ||
| 100 | in its distribution. The species currently occupies areas in which it | 114 | in its distribution. The species currently occupies areas in which it | ||
| 101 | had been extinct for decades and new road mortality black spots have | 115 | had been extinct for decades and new road mortality black spots have | ||
| 102 | been identified. Its conservation requires an intensive risk | 116 | been identified. Its conservation requires an intensive risk | ||
| 103 | assessment of road\u2013deaths in potential future distribution areas. | 117 | assessment of road\u2013deaths in potential future distribution areas. | ||
| 104 | Using the MaxEnt algorithm we aimed to identify the roads where there | 118 | Using the MaxEnt algorithm we aimed to identify the roads where there | ||
| 105 | is a greater risk of road collision for the Iberian lynx. More than | 119 | is a greater risk of road collision for the Iberian lynx. More than | ||
| 106 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | 120 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | ||
| 107 | Both road\u2013related and habitat variables were included in the | 121 | Both road\u2013related and habitat variables were included in the | ||
| 108 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | 122 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | ||
| 109 | classified as high risk road. Our results could help plan future | 123 | classified as high risk road. Our results could help plan future | ||
| 110 | conservation strategies. To our knowledge, this is the first time that | 124 | conservation strategies. To our knowledge, this is the first time that | ||
| 111 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | 125 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | ||
| 112 | predictions about wildlife road mortality.", | 126 | predictions about wildlife road mortality.", | ||
| 113 | "es": "In recent years, the Iberian lynx (Lynx pardinus) has | 127 | "es": "In recent years, the Iberian lynx (Lynx pardinus) has | ||
| 114 | experienced a significant increase in the size of its population and | 128 | experienced a significant increase in the size of its population and | ||
| 115 | in its distribution. The species currently occupies areas in which it | 129 | in its distribution. The species currently occupies areas in which it | ||
| 116 | had been extinct for decades and new road mortality black spots have | 130 | had been extinct for decades and new road mortality black spots have | ||
| 117 | been identified. Its conservation requires an intensive risk | 131 | been identified. Its conservation requires an intensive risk | ||
| 118 | assessment of road\u2013deaths in potential future distribution areas. | 132 | assessment of road\u2013deaths in potential future distribution areas. | ||
| 119 | Using the MaxEnt algorithm we aimed to identify the roads where there | 133 | Using the MaxEnt algorithm we aimed to identify the roads where there | ||
| 120 | is a greater risk of road collision for the Iberian lynx. More than | 134 | is a greater risk of road collision for the Iberian lynx. More than | ||
| 121 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | 135 | 1,150 stretches of road were evaluated in Andalusia (southern Spain). | ||
| 122 | Both road\u2013related and habitat variables were included in the | 136 | Both road\u2013related and habitat variables were included in the | ||
| 123 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | 137 | model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were | ||
| 124 | classified as high risk road. Our results could help plan future | 138 | classified as high risk road. Our results could help plan future | ||
| 125 | conservation strategies. To our knowledge, this is the first time that | 139 | conservation strategies. To our knowledge, this is the first time that | ||
| 126 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | 140 | the MaxEnt algorithm has been used to provide spatially\u2013explicit | ||
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