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En el instante 23 de junio de 2026, 15:50:38 UTC,
-
Modificado el valor del campo
spatial_coverage
a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
en Temporal pattern of wild ungulate-related traffic accidents in northwest Spain.
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| 79 | "notes": "Wildlife-related accidents are a serious problem in | 79 | "notes": "Wildlife-related accidents are a serious problem in | ||
| 80 | different countries and describing their temporal pattern allows for | 80 | different countries and describing their temporal pattern allows for | ||
| 81 | the development of measures to mitigate them. We described the | 81 | the development of measures to mitigate them. We described the | ||
| 82 | temporal pattern of wild ungulate-related accidents occurring between | 82 | temporal pattern of wild ungulate-related accidents occurring between | ||
| 83 | January 2006 and December 2010 in the Autonomous Region of Galicia, | 83 | January 2006 and December 2010 in the Autonomous Region of Galicia, | ||
| 84 | northwest of Spain. We examined the temporal distribution of the | 84 | northwest of Spain. We examined the temporal distribution of the | ||
| 85 | accidents according to months, phenological and hunting seasons, days | 85 | accidents according to months, phenological and hunting seasons, days | ||
| 86 | of the week and time of the day. From the 6,255 wild ungulate-related | 86 | of the week and time of the day. From the 6,255 wild ungulate-related | ||
| 87 | traffic accidents analysed, 36.5% were related to roe deer Capreolus | 87 | traffic accidents analysed, 36.5% were related to roe deer Capreolus | ||
| 88 | capreolus and 62.8% were related to wild boar Sus scrofa. The monthly | 88 | capreolus and 62.8% were related to wild boar Sus scrofa. The monthly | ||
| 89 | distribution of accidents was not random but follows a characteristic | 89 | distribution of accidents was not random but follows a characteristic | ||
| 90 | pattern for each species. Roe deer-related accidents have their | 90 | pattern for each species. Roe deer-related accidents have their | ||
| 91 | maximum in April and May, coinciding with the breeding season, | 91 | maximum in April and May, coinciding with the breeding season, | ||
| 92 | followed by July, coinciding with the rut. Wild boar-related accidents | 92 | followed by July, coinciding with the rut. Wild boar-related accidents | ||
| 93 | have their maximum between October and January, coinciding with the | 93 | have their maximum between October and January, coinciding with the | ||
| 94 | hunting season but also with months with the longest nights. Both roe | 94 | hunting season but also with months with the longest nights. Both roe | ||
| 95 | deer- and wild boar-related accidents showed an increase at weekends, | 95 | deer- and wild boar-related accidents showed an increase at weekends, | ||
| 96 | specially on Sundays. During the hunting season, the wild boar-related | 96 | specially on Sundays. During the hunting season, the wild boar-related | ||
| 97 | accidents showed a marked peak on the same day. This weekly pattern | 97 | accidents showed a marked peak on the same day. This weekly pattern | ||
| 98 | was explained by drivers\u2019 behaviour and by hunting. For roe deer, | 98 | was explained by drivers\u2019 behaviour and by hunting. For roe deer, | ||
| 99 | peaks of accidents occurred between 19:00 and 22:00 (about dusk) and | 99 | peaks of accidents occurred between 19:00 and 22:00 (about dusk) and | ||
| 100 | between 05:00 and 08:00 (about dawn). For wild boar, 69% of accidents | 100 | between 05:00 and 08:00 (about dawn). For wild boar, 69% of accidents | ||
| 101 | occurred between 18:00 and 23:00, coinciding with dusk and night. This | 101 | occurred between 18:00 and 23:00, coinciding with dusk and night. This | ||
| 102 | daily pattern of accidents was explained by the behaviour of the | 102 | daily pattern of accidents was explained by the behaviour of the | ||
| 103 | species.", | 103 | species.", | ||
| 104 | "notes_translated": { | 104 | "notes_translated": { | ||
| 105 | "en": "Wildlife-related accidents are a serious problem in | 105 | "en": "Wildlife-related accidents are a serious problem in | ||
| 106 | different countries and describing their temporal pattern allows for | 106 | different countries and describing their temporal pattern allows for | ||
| 107 | the development of measures to mitigate them. We described the | 107 | the development of measures to mitigate them. We described the | ||
| 108 | temporal pattern of wild ungulate-related accidents occurring between | 108 | temporal pattern of wild ungulate-related accidents occurring between | ||
| 109 | January 2006 and December 2010 in the Autonomous Region of Galicia, | 109 | January 2006 and December 2010 in the Autonomous Region of Galicia, | ||
| 110 | northwest of Spain. We examined the temporal distribution of the | 110 | northwest of Spain. We examined the temporal distribution of the | ||
| 111 | accidents according to months, phenological and hunting seasons, days | 111 | accidents according to months, phenological and hunting seasons, days | ||
| 112 | of the week and time of the day. From the 6,255 wild ungulate-related | 112 | of the week and time of the day. From the 6,255 wild ungulate-related | ||
| 113 | traffic accidents analysed, 36.5% were related to roe | 113 | traffic accidents analysed, 36.5% were related to roe | ||
| 114 | deer\u00a0Capreolus capreolus\u00a0and 62.8% were related to wild | 114 | deer\u00a0Capreolus capreolus\u00a0and 62.8% were related to wild | ||
| 115 | boar\u00a0Sus scrofa. The monthly distribution of accidents was not | 115 | boar\u00a0Sus scrofa. The monthly distribution of accidents was not | ||
| 116 | random but follows a characteristic pattern for each species. Roe | 116 | random but follows a characteristic pattern for each species. Roe | ||
| 117 | deer-related accidents have their maximum in April and May, coinciding | 117 | deer-related accidents have their maximum in April and May, coinciding | ||
| 118 | with the breeding season, followed by July, coinciding with the rut. | 118 | with the breeding season, followed by July, coinciding with the rut. | ||
| 119 | Wild boar-related accidents have their maximum between October and | 119 | Wild boar-related accidents have their maximum between October and | ||
| 120 | January, coinciding with the hunting season but also with months with | 120 | January, coinciding with the hunting season but also with months with | ||
| 121 | the longest nights. Both roe deer- and wild boar-related accidents | 121 | the longest nights. Both roe deer- and wild boar-related accidents | ||
| 122 | showed an increase at weekends, specially on Sundays. During the | 122 | showed an increase at weekends, specially on Sundays. During the | ||
| 123 | hunting season, the wild boar-related accidents showed a marked peak | 123 | hunting season, the wild boar-related accidents showed a marked peak | ||
| 124 | on the same day. This weekly pattern was explained by drivers\u2019 | 124 | on the same day. This weekly pattern was explained by drivers\u2019 | ||
| 125 | behaviour and by hunting. For roe deer, peaks of accidents occurred | 125 | behaviour and by hunting. For roe deer, peaks of accidents occurred | ||
| 126 | between 19:00 and 22:00 (about dusk) and between 05:00 and 08:00 | 126 | between 19:00 and 22:00 (about dusk) and between 05:00 and 08:00 | ||
| 127 | (about dawn). For wild boar, 69% of accidents occurred between 18:00 | 127 | (about dawn). For wild boar, 69% of accidents occurred between 18:00 | ||
| 128 | and 23:00, coinciding with dusk and night. This daily pattern of | 128 | and 23:00, coinciding with dusk and night. This daily pattern of | ||
| 129 | accidents was explained by the behaviour of the species.", | 129 | accidents was explained by the behaviour of the species.", | ||
| 130 | "es": "Wildlife-related accidents are a serious problem in | 130 | "es": "Wildlife-related accidents are a serious problem in | ||
| 131 | different countries and describing their temporal pattern allows for | 131 | different countries and describing their temporal pattern allows for | ||
| 132 | the development of measures to mitigate them. We described the | 132 | the development of measures to mitigate them. We described the | ||
| 133 | temporal pattern of wild ungulate-related accidents occurring between | 133 | temporal pattern of wild ungulate-related accidents occurring between | ||
| 134 | January 2006 and December 2010 in the Autonomous Region of Galicia, | 134 | January 2006 and December 2010 in the Autonomous Region of Galicia, | ||
| 135 | northwest of Spain. We examined the temporal distribution of the | 135 | northwest of Spain. We examined the temporal distribution of the | ||
| 136 | accidents according to months, phenological and hunting seasons, days | 136 | accidents according to months, phenological and hunting seasons, days | ||
| 137 | of the week and time of the day. From the 6,255 wild ungulate-related | 137 | of the week and time of the day. From the 6,255 wild ungulate-related | ||
| 138 | traffic accidents analysed, 36.5% were related to roe deer Capreolus | 138 | traffic accidents analysed, 36.5% were related to roe deer Capreolus | ||
| 139 | capreolus and 62.8% were related to wild boar Sus scrofa. The monthly | 139 | capreolus and 62.8% were related to wild boar Sus scrofa. The monthly | ||
| 140 | distribution of accidents was not random but follows a characteristic | 140 | distribution of accidents was not random but follows a characteristic | ||
| 141 | pattern for each species. Roe deer-related accidents have their | 141 | pattern for each species. Roe deer-related accidents have their | ||
| 142 | maximum in April and May, coinciding with the breeding season, | 142 | maximum in April and May, coinciding with the breeding season, | ||
| 143 | followed by July, coinciding with the rut. Wild boar-related accidents | 143 | followed by July, coinciding with the rut. Wild boar-related accidents | ||
| 144 | have their maximum between October and January, coinciding with the | 144 | have their maximum between October and January, coinciding with the | ||
| 145 | hunting season but also with months with the longest nights. Both roe | 145 | hunting season but also with months with the longest nights. Both roe | ||
| 146 | deer- and wild boar-related accidents showed an increase at weekends, | 146 | deer- and wild boar-related accidents showed an increase at weekends, | ||
| 147 | specially on Sundays. During the hunting season, the wild boar-related | 147 | specially on Sundays. During the hunting season, the wild boar-related | ||
| 148 | accidents showed a marked peak on the same day. This weekly pattern | 148 | accidents showed a marked peak on the same day. This weekly pattern | ||
| 149 | was explained by drivers\u2019 behaviour and by hunting. For roe deer, | 149 | was explained by drivers\u2019 behaviour and by hunting. For roe deer, | ||
| 150 | peaks of accidents occurred between 19:00 and 22:00 (about dusk) and | 150 | peaks of accidents occurred between 19:00 and 22:00 (about dusk) and | ||
| 151 | between 05:00 and 08:00 (about dawn). For wild boar, 69% of accidents | 151 | between 05:00 and 08:00 (about dawn). For wild boar, 69% of accidents | ||
| 152 | occurred between 18:00 and 23:00, coinciding with dusk and night. This | 152 | occurred between 18:00 and 23:00, coinciding with dusk and night. This | ||
| 153 | daily pattern of accidents was explained by the behaviour of the | 153 | daily pattern of accidents was explained by the behaviour of the | ||
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