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a2026-06-25
en An objective approach to select surrogate species for connectivity conservation. -
Modificado el valor del campo
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del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en An objective approach to select surrogate species for connectivity conservation.
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| 81 | "notes": "Connected landscapes can increase the effectiveness of | 95 | "notes": "Connected landscapes can increase the effectiveness of | ||
| 82 | protected areas by facilitating individual movement and gene flow | 96 | protected areas by facilitating individual movement and gene flow | ||
| 83 | between populations, thereby increasing the persistence of species | 97 | between populations, thereby increasing the persistence of species | ||
| 84 | even in fragmented habitats. Connectivity planning is often based on | 98 | even in fragmented habitats. Connectivity planning is often based on | ||
| 85 | modeling connectivity for a limited number of species, i.e., | 99 | modeling connectivity for a limited number of species, i.e., | ||
| 86 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 100 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 87 | co-occurring species. Connectivity umbrellas are usually selected a | 101 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 88 | priori, based on a few life history traits and often without | 102 | priori, based on a few life history traits and often without | ||
| 89 | evaluating other species. We developed a quantitative method to | 103 | evaluating other species. We developed a quantitative method to | ||
| 90 | identify connectivity umbrellas at multiple scales. We demonstrate the | 104 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 91 | approach on the terrestrial large mammal community (24 species) in | 105 | approach on the terrestrial large mammal community (24 species) in | ||
| 92 | continental Europe at two scales: 13 geographic biomes and 36 | 106 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 93 | ecoregions, and evaluate the interaction of landscape characteristics | 107 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 94 | on the selection of connectivity umbrellas. We show that the number, | 108 | on the selection of connectivity umbrellas. We show that the number, | ||
| 95 | identity, and attributes of connectivity umbrellas are sensitive to | 109 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 96 | spatial scale and human influence on the landscape. Multiple species | 110 | spatial scale and human influence on the landscape. Multiple species | ||
| 97 | were selected as connectivity umbrellas in 92% of the geographic | 111 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 98 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 112 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | ||
| 99 | 3.16 species). None of the 24 species evaluated is by itself an | 113 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 100 | effective connectivity umbrella across its entire range. We identified | 114 | effective connectivity umbrella across its entire range. We identified | ||
| 101 | significant interactions between species and landscape attributes. | 115 | significant interactions between species and landscape attributes. | ||
| 102 | Species selected as connectivity umbrellas in regions with low human | 116 | Species selected as connectivity umbrellas in regions with low human | ||
| 103 | influence have higher mean body mass, larger home ranges, longer | 117 | influence have higher mean body mass, larger home ranges, longer | ||
| 104 | dispersal distances, smaller geographic ranges, occur at lower | 118 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 105 | population densities, and are of higher conservation concern than | 119 | population densities, and are of higher conservation concern than | ||
| 106 | connectivity umbrellas in more human-influenced regions. More species | 120 | connectivity umbrellas in more human-influenced regions. More species | ||
| 107 | are required to meet connectivity targets in regions with high human | 121 | are required to meet connectivity targets in regions with high human | ||
| 108 | influence (average of three species) in comparison to regions with low | 122 | influence (average of three species) in comparison to regions with low | ||
| 109 | human influence (average of 1.67 species). We conclude that multiple | 123 | human influence (average of 1.67 species). We conclude that multiple | ||
| 110 | species selected in relation to landscape scale and characteristics | 124 | species selected in relation to landscape scale and characteristics | ||
| 111 | are essential to meet connectivity goals. Our approach enhances | 125 | are essential to meet connectivity goals. Our approach enhances | ||
| 112 | objectivity in selecting which and how many species are required for | 126 | objectivity in selecting which and how many species are required for | ||
| 113 | connectivity conservation and fosters well-informed decisions, that in | 127 | connectivity conservation and fosters well-informed decisions, that in | ||
| 114 | turn benefit entire communities and ecosystems.", | 128 | turn benefit entire communities and ecosystems.", | ||
| 115 | "notes_translated": { | 129 | "notes_translated": { | ||
| 116 | "en": "Connected landscapes can increase the effectiveness of | 130 | "en": "Connected landscapes can increase the effectiveness of | ||
| 117 | protected areas by facilitating individual movement and gene flow | 131 | protected areas by facilitating individual movement and gene flow | ||
| 118 | between populations, thereby increasing the persistence of species | 132 | between populations, thereby increasing the persistence of species | ||
| 119 | even in fragmented habitats. Connectivity planning is often based on | 133 | even in fragmented habitats. Connectivity planning is often based on | ||
| 120 | modeling connectivity for a limited number of species, i.e., | 134 | modeling connectivity for a limited number of species, i.e., | ||
| 121 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 135 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 122 | co-occurring species. Connectivity umbrellas are usually selected a | 136 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 123 | priori, based on a few life history traits and often without | 137 | priori, based on a few life history traits and often without | ||
| 124 | evaluating other species. We developed a quantitative method to | 138 | evaluating other species. We developed a quantitative method to | ||
| 125 | identify connectivity umbrellas at multiple scales. We demonstrate the | 139 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 126 | approach on the terrestrial large mammal community (24 species) in | 140 | approach on the terrestrial large mammal community (24 species) in | ||
| 127 | continental Europe at two scales: 13 geographic biomes and 36 | 141 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 128 | ecoregions, and evaluate the interaction of landscape characteristics | 142 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 129 | on the selection of connectivity umbrellas. We show that the number, | 143 | on the selection of connectivity umbrellas. We show that the number, | ||
| 130 | identity, and attributes of connectivity umbrellas are sensitive to | 144 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 131 | spatial scale and human influence on the landscape. Multiple species | 145 | spatial scale and human influence on the landscape. Multiple species | ||
| 132 | were selected as connectivity umbrellas in 92% of the geographic | 146 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 133 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 147 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | ||
| 134 | 3.16 species). None of the 24 species evaluated is by itself an | 148 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 135 | effective connectivity umbrella across its entire range. We identified | 149 | effective connectivity umbrella across its entire range. We identified | ||
| 136 | significant interactions between species and landscape attributes. | 150 | significant interactions between species and landscape attributes. | ||
| 137 | Species selected as connectivity umbrellas in regions with low human | 151 | Species selected as connectivity umbrellas in regions with low human | ||
| 138 | influence have higher mean body mass, larger home ranges, longer | 152 | influence have higher mean body mass, larger home ranges, longer | ||
| 139 | dispersal distances, smaller geographic ranges, occur at lower | 153 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 140 | population densities, and are of higher conservation concern than | 154 | population densities, and are of higher conservation concern than | ||
| 141 | connectivity umbrellas in more human-influenced regions. More species | 155 | connectivity umbrellas in more human-influenced regions. More species | ||
| 142 | are required to meet connectivity targets in regions with high human | 156 | are required to meet connectivity targets in regions with high human | ||
| 143 | influence (average of three species) in comparison to regions with low | 157 | influence (average of three species) in comparison to regions with low | ||
| 144 | human influence (average of 1.67 species). We conclude that multiple | 158 | human influence (average of 1.67 species). We conclude that multiple | ||
| 145 | species selected in relation to landscape scale and characteristics | 159 | species selected in relation to landscape scale and characteristics | ||
| 146 | are essential to meet connectivity goals. Our approach enhances | 160 | are essential to meet connectivity goals. Our approach enhances | ||
| 147 | objectivity in selecting which and how many species are required for | 161 | objectivity in selecting which and how many species are required for | ||
| 148 | connectivity conservation and fosters well-informed decisions, that in | 162 | connectivity conservation and fosters well-informed decisions, that in | ||
| 149 | turn benefit entire communities and ecosystems.", | 163 | turn benefit entire communities and ecosystems.", | ||
| 150 | "es": "Connected landscapes can increase the effectiveness of | 164 | "es": "Connected landscapes can increase the effectiveness of | ||
| 151 | protected areas by facilitating individual movement and gene flow | 165 | protected areas by facilitating individual movement and gene flow | ||
| 152 | between populations, thereby increasing the persistence of species | 166 | between populations, thereby increasing the persistence of species | ||
| 153 | even in fragmented habitats. Connectivity planning is often based on | 167 | even in fragmented habitats. Connectivity planning is often based on | ||
| 154 | modeling connectivity for a limited number of species, i.e., | 168 | modeling connectivity for a limited number of species, i.e., | ||
| 155 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 169 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 156 | co-occurring species. Connectivity umbrellas are usually selected a | 170 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 157 | priori, based on a few life history traits and often without | 171 | priori, based on a few life history traits and often without | ||
| 158 | evaluating other species. We developed a quantitative method to | 172 | evaluating other species. We developed a quantitative method to | ||
| 159 | identify connectivity umbrellas at multiple scales. We demonstrate the | 173 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 160 | approach on the terrestrial large mammal community (24 species) in | 174 | approach on the terrestrial large mammal community (24 species) in | ||
| 161 | continental Europe at two scales: 13 geographic biomes and 36 | 175 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 162 | ecoregions, and evaluate the interaction of landscape characteristics | 176 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 163 | on the selection of connectivity umbrellas. We show that the number, | 177 | on the selection of connectivity umbrellas. We show that the number, | ||
| 164 | identity, and attributes of connectivity umbrellas are sensitive to | 178 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 165 | spatial scale and human influence on the landscape. Multiple species | 179 | spatial scale and human influence on the landscape. Multiple species | ||
| 166 | were selected as connectivity umbrellas in 92% of the geographic | 180 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 167 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 181 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | ||
| 168 | 3.16 species). None of the 24 species evaluated is by itself an | 182 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 169 | effective connectivity umbrella across its entire range. We identified | 183 | effective connectivity umbrella across its entire range. We identified | ||
| 170 | significant interactions between species and landscape attributes. | 184 | significant interactions between species and landscape attributes. | ||
| 171 | Species selected as connectivity umbrellas in regions with low human | 185 | Species selected as connectivity umbrellas in regions with low human | ||
| 172 | influence have higher mean body mass, larger home ranges, longer | 186 | influence have higher mean body mass, larger home ranges, longer | ||
| 173 | dispersal distances, smaller geographic ranges, occur at lower | 187 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 174 | population densities, and are of higher conservation concern than | 188 | population densities, and are of higher conservation concern than | ||
| 175 | connectivity umbrellas in more human-influenced regions. More species | 189 | connectivity umbrellas in more human-influenced regions. More species | ||
| 176 | are required to meet connectivity targets in regions with high human | 190 | are required to meet connectivity targets in regions with high human | ||
| 177 | influence (average of three species) in comparison to regions with low | 191 | influence (average of three species) in comparison to regions with low | ||
| 178 | human influence (average of 1.67 species). We conclude that multiple | 192 | human influence (average of 1.67 species). We conclude that multiple | ||
| 179 | species selected in relation to landscape scale and characteristics | 193 | species selected in relation to landscape scale and characteristics | ||
| 180 | are essential to meet connectivity goals. Our approach enhances | 194 | are essential to meet connectivity goals. Our approach enhances | ||
| 181 | objectivity in selecting which and how many species are required for | 195 | objectivity in selecting which and how many species are required for | ||
| 182 | connectivity conservation and fosters well-informed decisions, that in | 196 | connectivity conservation and fosters well-informed decisions, that in | ||
| 183 | turn benefit entire communities and ecosystems." | 197 | turn benefit entire communities and ecosystems." | ||
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