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en A forecasting map of avian roadkill-risk in Europe: a tool to identify potential hotspots. -
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) en A forecasting map of avian roadkill-risk in Europe: a tool to identify potential hotspots.
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| 78 | "notes": "In this study, we propose a novel strategy for identifying | 92 | "notes": "In this study, we propose a novel strategy for identifying | ||
| 79 | potential hotspots of avian roadkills in Europe. The proposed approach | 93 | potential hotspots of avian roadkills in Europe. The proposed approach | ||
| 80 | combines information about the spatial distribution of bird species at | 94 | combines information about the spatial distribution of bird species at | ||
| 81 | a comparatively higher risk of roadkill with data on road density. | 95 | a comparatively higher risk of roadkill with data on road density. | ||
| 82 | First, using a large dataset collected from several European studies | 96 | First, using a large dataset collected from several European studies | ||
| 83 | and reports, we extracted the frequency of occurrence of bird | 97 | and reports, we extracted the frequency of occurrence of bird | ||
| 84 | casualties for 209 breeding bird species recorded in roadkill events. | 98 | casualties for 209 breeding bird species recorded in roadkill events. | ||
| 85 | We standardized the relative frequency of roadkill from 0 (species | 99 | We standardized the relative frequency of roadkill from 0 (species | ||
| 86 | never recorded in bird casualties' reports) to 1 (species with the | 100 | never recorded in bird casualties' reports) to 1 (species with the | ||
| 87 | higher number of roadkill's), obtaining a continuous variable that | 101 | higher number of roadkill's), obtaining a continuous variable that | ||
| 88 | indicates the potential risk of roadkill species by species. Second, | 102 | indicates the potential risk of roadkill species by species. Second, | ||
| 89 | using published data on the spatial distribution of breeding bird | 103 | using published data on the spatial distribution of breeding bird | ||
| 90 | species in Europe, we calculated the cumulative risk of roadkill in | 104 | species in Europe, we calculated the cumulative risk of roadkill in | ||
| 91 | each bird assemblages, by considering the sum of the values estimated | 105 | each bird assemblages, by considering the sum of the values estimated | ||
| 92 | for each species in the previous step. Third, we calculated the road | 106 | for each species in the previous step. Third, we calculated the road | ||
| 93 | density in each spatial unit. Finally, we elaborate a forecasting map | 107 | density in each spatial unit. Finally, we elaborate a forecasting map | ||
| 94 | of potential avian roadkill-risk across Europe, by combining the data | 108 | of potential avian roadkill-risk across Europe, by combining the data | ||
| 95 | on road density and cumulative roadkill risk of bird communities.\n | 109 | on road density and cumulative roadkill risk of bird communities.\n | ||
| 96 | The tool proposed can help to identify potential hotspots at different | 110 | The tool proposed can help to identify potential hotspots at different | ||
| 97 | spatial scales where the risk of avian roadkill is high, offering the | 111 | spatial scales where the risk of avian roadkill is high, offering the | ||
| 98 | possibility to improve conservation measures in road planning. | 112 | possibility to improve conservation measures in road planning. | ||
| 99 | Briefly, the prediction of where there is aligned convergence between | 113 | Briefly, the prediction of where there is aligned convergence between | ||
| 100 | communities with highly ranked species and landscapes with dense road | 114 | communities with highly ranked species and landscapes with dense road | ||
| 101 | networks can be used in procedures modelling wildlife-car collisions, | 115 | networks can be used in procedures modelling wildlife-car collisions, | ||
| 102 | for transportation mitigation projects.", | 116 | for transportation mitigation projects.", | ||
| 103 | "notes_translated": { | 117 | "notes_translated": { | ||
| 104 | "en": "In this study, we propose a novel strategy for identifying | 118 | "en": "In this study, we propose a novel strategy for identifying | ||
| 105 | potential hotspots of avian\u00a0roadkills\u00a0in Europe. The | 119 | potential hotspots of avian\u00a0roadkills\u00a0in Europe. The | ||
| 106 | proposed approach combines information about the spatial distribution | 120 | proposed approach combines information about the spatial distribution | ||
| 107 | of\u00a0bird species\u00a0at a comparatively higher risk of roadkill | 121 | of\u00a0bird species\u00a0at a comparatively higher risk of roadkill | ||
| 108 | with data on road density. First, using a large dataset collected from | 122 | with data on road density. First, using a large dataset collected from | ||
| 109 | several European studies and reports, we extracted the frequency of | 123 | several European studies and reports, we extracted the frequency of | ||
| 110 | occurrence of bird casualties for 209 breeding\u00a0bird | 124 | occurrence of bird casualties for 209 breeding\u00a0bird | ||
| 111 | species\u00a0recorded in roadkill events. We standardized the relative | 125 | species\u00a0recorded in roadkill events. We standardized the relative | ||
| 112 | frequency of roadkill from 0 (species never recorded in bird | 126 | frequency of roadkill from 0 (species never recorded in bird | ||
| 113 | casualties' reports) to 1 (species with the higher number of | 127 | casualties' reports) to 1 (species with the higher number of | ||
| 114 | roadkill's), obtaining a continuous variable that indicates the | 128 | roadkill's), obtaining a continuous variable that indicates the | ||
| 115 | potential risk of roadkill species by species. Second, using published | 129 | potential risk of roadkill species by species. Second, using published | ||
| 116 | data on the spatial distribution of breeding bird species in Europe, | 130 | data on the spatial distribution of breeding bird species in Europe, | ||
| 117 | we calculated the cumulative risk of roadkill in each bird | 131 | we calculated the cumulative risk of roadkill in each bird | ||
| 118 | assemblages, by considering the sum of the values estimated for each | 132 | assemblages, by considering the sum of the values estimated for each | ||
| 119 | species in the previous step. Third, we calculated the road density in | 133 | species in the previous step. Third, we calculated the road density in | ||
| 120 | each spatial unit. Finally, we elaborate a forecasting map of | 134 | each spatial unit. Finally, we elaborate a forecasting map of | ||
| 121 | potential avian roadkill-risk across Europe, by combining the data on | 135 | potential avian roadkill-risk across Europe, by combining the data on | ||
| 122 | road density and cumulative roadkill risk of bird communities.\nThe | 136 | road density and cumulative roadkill risk of bird communities.\nThe | ||
| 123 | tool proposed can help to identify potential hotspots at different | 137 | tool proposed can help to identify potential hotspots at different | ||
| 124 | spatial scales where the risk of avian roadkill is high, offering the | 138 | spatial scales where the risk of avian roadkill is high, offering the | ||
| 125 | possibility to improve conservation measures in road planning. | 139 | possibility to improve conservation measures in road planning. | ||
| 126 | Briefly, the prediction of where there is aligned convergence between | 140 | Briefly, the prediction of where there is aligned convergence between | ||
| 127 | communities with highly ranked species and landscapes with dense road | 141 | communities with highly ranked species and landscapes with dense road | ||
| 128 | networks can be used in procedures modelling wildlife-car collisions, | 142 | networks can be used in procedures modelling wildlife-car collisions, | ||
| 129 | for transportation mitigation projects.", | 143 | for transportation mitigation projects.", | ||
| 130 | "es": "In this study, we propose a novel strategy for identifying | 144 | "es": "In this study, we propose a novel strategy for identifying | ||
| 131 | potential hotspots of avian roadkills in Europe. The proposed approach | 145 | potential hotspots of avian roadkills in Europe. The proposed approach | ||
| 132 | combines information about the spatial distribution of bird species at | 146 | combines information about the spatial distribution of bird species at | ||
| 133 | a comparatively higher risk of roadkill with data on road density. | 147 | a comparatively higher risk of roadkill with data on road density. | ||
| 134 | First, using a large dataset collected from several European studies | 148 | First, using a large dataset collected from several European studies | ||
| 135 | and reports, we extracted the frequency of occurrence of bird | 149 | and reports, we extracted the frequency of occurrence of bird | ||
| 136 | casualties for 209 breeding bird species recorded in roadkill events. | 150 | casualties for 209 breeding bird species recorded in roadkill events. | ||
| 137 | We standardized the relative frequency of roadkill from 0 (species | 151 | We standardized the relative frequency of roadkill from 0 (species | ||
| 138 | never recorded in bird casualties' reports) to 1 (species with the | 152 | never recorded in bird casualties' reports) to 1 (species with the | ||
| 139 | higher number of roadkill's), obtaining a continuous variable that | 153 | higher number of roadkill's), obtaining a continuous variable that | ||
| 140 | indicates the potential risk of roadkill species by species. Second, | 154 | indicates the potential risk of roadkill species by species. Second, | ||
| 141 | using published data on the spatial distribution of breeding bird | 155 | using published data on the spatial distribution of breeding bird | ||
| 142 | species in Europe, we calculated the cumulative risk of roadkill in | 156 | species in Europe, we calculated the cumulative risk of roadkill in | ||
| 143 | each bird assemblages, by considering the sum of the values estimated | 157 | each bird assemblages, by considering the sum of the values estimated | ||
| 144 | for each species in the previous step. Third, we calculated the road | 158 | for each species in the previous step. Third, we calculated the road | ||
| 145 | density in each spatial unit. Finally, we elaborate a forecasting map | 159 | density in each spatial unit. Finally, we elaborate a forecasting map | ||
| 146 | of potential avian roadkill-risk across Europe, by combining the data | 160 | of potential avian roadkill-risk across Europe, by combining the data | ||
| 147 | on road density and cumulative roadkill risk of bird communities.\n | 161 | on road density and cumulative roadkill risk of bird communities.\n | ||
| 148 | The tool proposed can help to identify potential hotspots at different | 162 | The tool proposed can help to identify potential hotspots at different | ||
| 149 | spatial scales where the risk of avian roadkill is high, offering the | 163 | spatial scales where the risk of avian roadkill is high, offering the | ||
| 150 | possibility to improve conservation measures in road planning. | 164 | possibility to improve conservation measures in road planning. | ||
| 151 | Briefly, the prediction of where there is aligned convergence between | 165 | Briefly, the prediction of where there is aligned convergence between | ||
| 152 | communities with highly ranked species and landscapes with dense road | 166 | communities with highly ranked species and landscapes with dense road | ||
| 153 | networks can be used in procedures modelling wildlife-car collisions, | 167 | networks can be used in procedures modelling wildlife-car collisions, | ||
| 154 | for transportation mitigation projects." | 168 | for transportation mitigation projects." | ||
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