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en A GIS methodology for assessing ecological connectivity: application to the Barcelona Metropolitan Area. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en A GIS methodology for assessing ecological connectivity: application to the Barcelona Metropolitan Area.
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| 5 | "author": "Marulli, J. y Mallarach, J.M.", | 5 | "author": "Marulli, J. y Mallarach, J.M.", | ||
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| 79 | "notes": "We developed a new methodology for the assessment of | 93 | "notes": "We developed a new methodology for the assessment of | ||
| 80 | landscape and ecological connectivity at regional scale. This method | 94 | landscape and ecological connectivity at regional scale. This method | ||
| 81 | has been entirely formalized using mathematical language, is supported | 95 | 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 | 96 | 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 | 97 | been developed using Geographic Information Systems (GIS). The method | ||
| 84 | allows the elaboration of a diagnose of the connectivity of | 98 | allows the elaboration of a diagnose of the connectivity of | ||
| 85 | terrestrial landscape ecosystems, on the basis of a previously defined | 99 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 86 | set of ecological functional areas, and a computational cost-distance | 100 | set of ecological functional areas, and a computational cost-distance | ||
| 87 | model which includes the barrier effect. This last component takes | 101 | model which includes the barrier effect. This last component takes | ||
| 88 | into consideration the type of barrier, the distance impact, and the | 102 | into consideration the type of barrier, the distance impact, and the | ||
| 89 | adjacent land use and vegetation type. We defined two new compound | 103 | adjacent land use and vegetation type. We defined two new compound | ||
| 90 | indices: one for ecological connectivity and another for the barrier | 104 | indices: one for ecological connectivity and another for the barrier | ||
| 91 | effect. The practical interest of our model is that it not only allows | 105 | 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 | 106 | a cost-effective assessment of the current situation, but it has | ||
| 93 | predictive capabilities, allowing the quantitative assessment and | 107 | predictive capabilities, allowing the quantitative assessment and | ||
| 94 | comparison of the impacts resulting from different planning scenarios | 108 | comparison of the impacts resulting from different planning scenarios | ||
| 95 | or different infrastructure alternatives on the landscape and | 109 | or different infrastructure alternatives on the landscape and | ||
| 96 | ecological connectivity.\n The application of this model to the | 110 | ecological connectivity.\n The application of this model to the | ||
| 97 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 111 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 98 | classified as urban, showed that 65% of the BMA area is currently | 112 | classified as urban, showed that 65% of the BMA area is currently | ||
| 99 | occupied by functional ecological areas, and that 18% is covered by | 113 | occupied by functional ecological areas, and that 18% is covered by | ||
| 100 | artificial barriers, although they have a direct negative impact on | 114 | artificial barriers, although they have a direct negative impact on | ||
| 101 | 56.5% of the area. The model also allowed the identification of | 115 | 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 | 116 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 103 | importance for ecological connectivity, as well as the network of | 117 | importance for ecological connectivity, as well as the network of | ||
| 104 | landscape linkages and ecological corridors that offer a high | 118 | landscape linkages and ecological corridors that offer a high | ||
| 105 | restoration potential. Further applications of this methodology | 119 | restoration potential. Further applications of this methodology | ||
| 106 | assessing the impacts of regional and urban plans on ecological | 120 | assessing the impacts of regional and urban plans on ecological | ||
| 107 | connectivity, suggest than it could easily be extrapolated to other | 121 | connectivity, suggest than it could easily be extrapolated to other | ||
| 108 | regions.", | 122 | regions.", | ||
| 109 | "notes_translated": { | 123 | "notes_translated": { | ||
| 110 | "en": "We developed a new methodology for the assessment of | 124 | "en": "We developed a new methodology for the assessment of | ||
| 111 | landscape and ecological connectivity at regional scale. This method | 125 | landscape and ecological connectivity at regional scale. This method | ||
| 112 | has been entirely formalized using mathematical language, is supported | 126 | 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 | 127 | 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 | 128 | been developed using Geographic Information Systems (GIS). The method | ||
| 115 | allows the elaboration of a diagnose of the connectivity of | 129 | allows the elaboration of a diagnose of the connectivity of | ||
| 116 | terrestrial landscape ecosystems, on the basis of a previously defined | 130 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 117 | set of ecological functional areas, and a computational cost-distance | 131 | set of ecological functional areas, and a computational cost-distance | ||
| 118 | model which includes the barrier effect. This last component takes | 132 | model which includes the barrier effect. This last component takes | ||
| 119 | into consideration the type of barrier, the distance impact, and the | 133 | into consideration the type of barrier, the distance impact, and the | ||
| 120 | adjacent land use and\u00a0vegetation type. We defined two new | 134 | adjacent land use and\u00a0vegetation type. We defined two new | ||
| 121 | compound indices: one for ecological connectivity and another for the | 135 | compound indices: one for ecological connectivity and another for the | ||
| 122 | barrier effect. The practical interest of our model is that it not | 136 | barrier effect. The practical interest of our model is that it not | ||
| 123 | only allows a cost-effective assessment of the current situation, but | 137 | only allows a cost-effective assessment of the current situation, but | ||
| 124 | it has predictive capabilities, allowing the quantitative assessment | 138 | it has predictive capabilities, allowing the quantitative assessment | ||
| 125 | and comparison of the impacts resulting from different planning | 139 | and comparison of the impacts resulting from different planning | ||
| 126 | scenarios or different infrastructure alternatives on the landscape | 140 | scenarios or different infrastructure alternatives on the landscape | ||
| 127 | and ecological connectivity.\nThe application of this model to the | 141 | and ecological connectivity.\nThe application of this model to the | ||
| 128 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 142 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 129 | classified as urban, showed that 65% of the BMA area is currently | 143 | classified as urban, showed that 65% of the BMA area is currently | ||
| 130 | occupied by functional ecological areas, and that 18% is covered by | 144 | occupied by functional ecological areas, and that 18% is covered by | ||
| 131 | artificial barriers, although they have a direct negative impact on | 145 | artificial barriers, although they have a direct negative impact on | ||
| 132 | 56.5% of the area. The model also allowed the identification of | 146 | 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 | 147 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 134 | importance for ecological connectivity, as well as the network of | 148 | importance for ecological connectivity, as well as the network of | ||
| 135 | landscape linkages and ecological corridors that offer a high | 149 | landscape linkages and ecological corridors that offer a high | ||
| 136 | restoration potential. Further applications of this methodology | 150 | restoration potential. Further applications of this methodology | ||
| 137 | assessing the impacts of regional and urban plans on ecological | 151 | assessing the impacts of regional and urban plans on ecological | ||
| 138 | connectivity, suggest than it could easily be extrapolated to other | 152 | connectivity, suggest than it could easily be extrapolated to other | ||
| 139 | regions.", | 153 | regions.", | ||
| 140 | "es": "We developed a new methodology for the assessment of | 154 | "es": "We developed a new methodology for the assessment of | ||
| 141 | landscape and ecological connectivity at regional scale. This method | 155 | landscape and ecological connectivity at regional scale. This method | ||
| 142 | has been entirely formalized using mathematical language, is supported | 156 | 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 | 157 | 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 | 158 | been developed using Geographic Information Systems (GIS). The method | ||
| 145 | allows the elaboration of a diagnose of the connectivity of | 159 | allows the elaboration of a diagnose of the connectivity of | ||
| 146 | terrestrial landscape ecosystems, on the basis of a previously defined | 160 | terrestrial landscape ecosystems, on the basis of a previously defined | ||
| 147 | set of ecological functional areas, and a computational cost-distance | 161 | set of ecological functional areas, and a computational cost-distance | ||
| 148 | model which includes the barrier effect. This last component takes | 162 | model which includes the barrier effect. This last component takes | ||
| 149 | into consideration the type of barrier, the distance impact, and the | 163 | into consideration the type of barrier, the distance impact, and the | ||
| 150 | adjacent land use and vegetation type. We defined two new compound | 164 | adjacent land use and vegetation type. We defined two new compound | ||
| 151 | indices: one for ecological connectivity and another for the barrier | 165 | indices: one for ecological connectivity and another for the barrier | ||
| 152 | effect. The practical interest of our model is that it not only allows | 166 | 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 | 167 | a cost-effective assessment of the current situation, but it has | ||
| 154 | predictive capabilities, allowing the quantitative assessment and | 168 | predictive capabilities, allowing the quantitative assessment and | ||
| 155 | comparison of the impacts resulting from different planning scenarios | 169 | comparison of the impacts resulting from different planning scenarios | ||
| 156 | or different infrastructure alternatives on the landscape and | 170 | or different infrastructure alternatives on the landscape and | ||
| 157 | ecological connectivity.\n The application of this model to the | 171 | ecological connectivity.\n The application of this model to the | ||
| 158 | Barcelona Metropolitan Area (BMA), 16% of which is currently | 172 | Barcelona Metropolitan Area (BMA), 16% of which is currently | ||
| 159 | classified as urban, showed that 65% of the BMA area is currently | 173 | classified as urban, showed that 65% of the BMA area is currently | ||
| 160 | occupied by functional ecological areas, and that 18% is covered by | 174 | occupied by functional ecological areas, and that 18% is covered by | ||
| 161 | artificial barriers, although they have a direct negative impact on | 175 | artificial barriers, although they have a direct negative impact on | ||
| 162 | 56.5% of the area. The model also allowed the identification of | 176 | 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 | 177 | vulnerable spots, including 1.7% of the BMA that has a critical | ||
| 164 | importance for ecological connectivity, as well as the network of | 178 | importance for ecological connectivity, as well as the network of | ||
| 165 | landscape linkages and ecological corridors that offer a high | 179 | landscape linkages and ecological corridors that offer a high | ||
| 166 | restoration potential. Further applications of this methodology | 180 | restoration potential. Further applications of this methodology | ||
| 167 | assessing the impacts of regional and urban plans on ecological | 181 | assessing the impacts of regional and urban plans on ecological | ||
| 168 | connectivity, suggest than it could easily be extrapolated to other | 182 | connectivity, suggest than it could easily be extrapolated to other | ||
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