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En el instante 23 de junio de 2026, 16:07:21 UTC,
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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 A GIS methodology for assessing ecological connectivity: application to the Barcelona Metropolitan Area.
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| 79 | "notes": "We developed a new methodology for the assessment of | 79 | "notes": "We developed a new methodology for the assessment of | ||
| 80 | landscape and ecological connectivity at regional scale. This method | 80 | landscape and ecological connectivity at regional scale. This method | ||
| 81 | has been entirely formalized using mathematical language, is supported | 81 | has been entirely formalized using mathematical language, is supported | ||
| 82 | by a topological analysis of a 1:25,000 scale land use map, and has | 82 | by a topological analysis of a 1:25,000 scale land use map, and has | ||
| 83 | been developed using Geographic Information Systems (GIS). The method | 83 | been developed using Geographic Information Systems (GIS). The method | ||
| 84 | allows the elaboration of a diagnose of the connectivity of | 84 | allows the elaboration of a diagnose of the connectivity of | ||
| 85 | terrestrial landscape ecosystems, on the basis of a previously defined | 85 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 86 | set of ecological functional areas, and a computational cost-distance | 86 | set of ecological functional areas, and a computational cost-distance | ||
| 87 | model which includes the barrier effect. This last component takes | 87 | model which includes the barrier effect. This last component takes | ||
| 88 | into consideration the type of barrier, the distance impact, and the | 88 | into consideration the type of barrier, the distance impact, and the | ||
| 89 | adjacent land use and vegetation type. We defined two new compound | 89 | adjacent land use and vegetation type. We defined two new compound | ||
| 90 | indices: one for ecological connectivity and another for the barrier | 90 | indices: one for ecological connectivity and another for the barrier | ||
| 91 | effect. The practical interest of our model is that it not only allows | 91 | effect. The practical interest of our model is that it not only allows | ||
| 92 | a cost-effective assessment of the current situation, but it has | 92 | a cost-effective assessment of the current situation, but it has | ||
| 93 | predictive capabilities, allowing the quantitative assessment and | 93 | predictive capabilities, allowing the quantitative assessment and | ||
| 94 | comparison of the impacts resulting from different planning scenarios | 94 | comparison of the impacts resulting from different planning scenarios | ||
| 95 | or different infrastructure alternatives on the landscape and | 95 | or different infrastructure alternatives on the landscape and | ||
| 96 | ecological connectivity.\n The application of this model to the | 96 | ecological connectivity.\n The application of this model to the | ||
| 97 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 97 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 98 | classified as urban, showed that 65% of the BMA area is currently | 98 | classified as urban, showed that 65% of the BMA area is currently | ||
| 99 | occupied by functional ecological areas, and that 18% is covered by | 99 | occupied by functional ecological areas, and that 18% is covered by | ||
| 100 | artificial barriers, although they have a direct negative impact on | 100 | artificial barriers, although they have a direct negative impact on | ||
| 101 | 56.5% of the area. The model also allowed the identification of | 101 | 56.5% of the area. The model also allowed the identification of | ||
| 102 | vulnerable spots, including 1.7% of the BMA that has a critical | 102 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 103 | importance for ecological connectivity, as well as the network of | 103 | importance for ecological connectivity, as well as the network of | ||
| 104 | landscape linkages and ecological corridors that offer a high | 104 | landscape linkages and ecological corridors that offer a high | ||
| 105 | restoration potential. Further applications of this methodology | 105 | restoration potential. Further applications of this methodology | ||
| 106 | assessing the impacts of regional and urban plans on ecological | 106 | assessing the impacts of regional and urban plans on ecological | ||
| 107 | connectivity, suggest than it could easily be extrapolated to other | 107 | connectivity, suggest than it could easily be extrapolated to other | ||
| 108 | regions.", | 108 | regions.", | ||
| 109 | "notes_translated": { | 109 | "notes_translated": { | ||
| 110 | "en": "We developed a new methodology for the assessment of | 110 | "en": "We developed a new methodology for the assessment of | ||
| 111 | landscape and ecological connectivity at regional scale. This method | 111 | landscape and ecological connectivity at regional scale. This method | ||
| 112 | has been entirely formalized using mathematical language, is supported | 112 | has been entirely formalized using mathematical language, is supported | ||
| 113 | by a topological analysis of a 1:25,000 scale land use map, and has | 113 | by a topological analysis of a 1:25,000 scale land use map, and has | ||
| 114 | been developed using Geographic Information Systems (GIS). The method | 114 | been developed using Geographic Information Systems (GIS). The method | ||
| 115 | allows the elaboration of a diagnose of the connectivity of | 115 | allows the elaboration of a diagnose of the connectivity of | ||
| 116 | terrestrial landscape ecosystems, on the basis of a previously defined | 116 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 117 | set of ecological functional areas, and a computational cost-distance | 117 | set of ecological functional areas, and a computational cost-distance | ||
| 118 | model which includes the barrier effect. This last component takes | 118 | model which includes the barrier effect. This last component takes | ||
| 119 | into consideration the type of barrier, the distance impact, and the | 119 | into consideration the type of barrier, the distance impact, and the | ||
| 120 | adjacent land use and\u00a0vegetation type. We defined two new | 120 | adjacent land use and\u00a0vegetation type. We defined two new | ||
| 121 | compound indices: one for ecological connectivity and another for the | 121 | compound indices: one for ecological connectivity and another for the | ||
| 122 | barrier effect. The practical interest of our model is that it not | 122 | barrier effect. The practical interest of our model is that it not | ||
| 123 | only allows a cost-effective assessment of the current situation, but | 123 | only allows a cost-effective assessment of the current situation, but | ||
| 124 | it has predictive capabilities, allowing the quantitative assessment | 124 | it has predictive capabilities, allowing the quantitative assessment | ||
| 125 | and comparison of the impacts resulting from different planning | 125 | and comparison of the impacts resulting from different planning | ||
| 126 | scenarios or different infrastructure alternatives on the landscape | 126 | scenarios or different infrastructure alternatives on the landscape | ||
| 127 | and ecological connectivity.\nThe application of this model to the | 127 | and ecological connectivity.\nThe application of this model to the | ||
| 128 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 128 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 129 | classified as urban, showed that 65% of the BMA area is currently | 129 | classified as urban, showed that 65% of the BMA area is currently | ||
| 130 | occupied by functional ecological areas, and that 18% is covered by | 130 | occupied by functional ecological areas, and that 18% is covered by | ||
| 131 | artificial barriers, although they have a direct negative impact on | 131 | artificial barriers, although they have a direct negative impact on | ||
| 132 | 56.5% of the area. The model also allowed the identification of | 132 | 56.5% of the area. The model also allowed the identification of | ||
| 133 | vulnerable spots, including 1.7% of the BMA that has a critical | 133 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 134 | importance for ecological connectivity, as well as the network of | 134 | importance for ecological connectivity, as well as the network of | ||
| 135 | landscape linkages and ecological corridors that offer a high | 135 | landscape linkages and ecological corridors that offer a high | ||
| 136 | restoration potential. Further applications of this methodology | 136 | restoration potential. Further applications of this methodology | ||
| 137 | assessing the impacts of regional and urban plans on ecological | 137 | assessing the impacts of regional and urban plans on ecological | ||
| 138 | connectivity, suggest than it could easily be extrapolated to other | 138 | connectivity, suggest than it could easily be extrapolated to other | ||
| 139 | regions.", | 139 | regions.", | ||
| 140 | "es": "We developed a new methodology for the assessment of | 140 | "es": "We developed a new methodology for the assessment of | ||
| 141 | landscape and ecological connectivity at regional scale. This method | 141 | landscape and ecological connectivity at regional scale. This method | ||
| 142 | has been entirely formalized using mathematical language, is supported | 142 | has been entirely formalized using mathematical language, is supported | ||
| 143 | by a topological analysis of a 1:25,000 scale land use map, and has | 143 | by a topological analysis of a 1:25,000 scale land use map, and has | ||
| 144 | been developed using Geographic Information Systems (GIS). The method | 144 | been developed using Geographic Information Systems (GIS). The method | ||
| 145 | allows the elaboration of a diagnose of the connectivity of | 145 | allows the elaboration of a diagnose of the connectivity of | ||
| 146 | terrestrial landscape ecosystems, on the basis of a previously defined | 146 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 147 | set of ecological functional areas, and a computational cost-distance | 147 | set of ecological functional areas, and a computational cost-distance | ||
| 148 | model which includes the barrier effect. This last component takes | 148 | model which includes the barrier effect. This last component takes | ||
| 149 | into consideration the type of barrier, the distance impact, and the | 149 | into consideration the type of barrier, the distance impact, and the | ||
| 150 | adjacent land use and vegetation type. We defined two new compound | 150 | adjacent land use and vegetation type. We defined two new compound | ||
| 151 | indices: one for ecological connectivity and another for the barrier | 151 | indices: one for ecological connectivity and another for the barrier | ||
| 152 | effect. The practical interest of our model is that it not only allows | 152 | effect. The practical interest of our model is that it not only allows | ||
| 153 | a cost-effective assessment of the current situation, but it has | 153 | a cost-effective assessment of the current situation, but it has | ||
| 154 | predictive capabilities, allowing the quantitative assessment and | 154 | predictive capabilities, allowing the quantitative assessment and | ||
| 155 | comparison of the impacts resulting from different planning scenarios | 155 | comparison of the impacts resulting from different planning scenarios | ||
| 156 | or different infrastructure alternatives on the landscape and | 156 | or different infrastructure alternatives on the landscape and | ||
| 157 | ecological connectivity.\n The application of this model to the | 157 | ecological connectivity.\n The application of this model to the | ||
| 158 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 158 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 159 | classified as urban, showed that 65% of the BMA area is currently | 159 | classified as urban, showed that 65% of the BMA area is currently | ||
| 160 | occupied by functional ecological areas, and that 18% is covered by | 160 | occupied by functional ecological areas, and that 18% is covered by | ||
| 161 | artificial barriers, although they have a direct negative impact on | 161 | artificial barriers, although they have a direct negative impact on | ||
| 162 | 56.5% of the area. The model also allowed the identification of | 162 | 56.5% of the area. The model also allowed the identification of | ||
| 163 | vulnerable spots, including 1.7% of the BMA that has a critical | 163 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 164 | importance for ecological connectivity, as well as the network of | 164 | importance for ecological connectivity, as well as the network of | ||
| 165 | landscape linkages and ecological corridors that offer a high | 165 | landscape linkages and ecological corridors that offer a high | ||
| 166 | restoration potential. Further applications of this methodology | 166 | restoration potential. Further applications of this methodology | ||
| 167 | assessing the impacts of regional and urban plans on ecological | 167 | assessing the impacts of regional and urban plans on ecological | ||
| 168 | connectivity, suggest than it could easily be extrapolated to other | 168 | connectivity, suggest than it could easily be extrapolated to other | ||
| 169 | regions." | 169 | regions." | ||
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