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spatial_coverage
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en An objective approach to select surrogate species for connectivity conservation.
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| 5 | "author": "Dutta, T., De Barba, M., Selva, N., Fedorca, A.C., | 5 | "author": "Dutta, T., De Barba, M., Selva, N., Fedorca, A.C., | ||
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| 81 | "notes": "Connected landscapes can increase the effectiveness of | 81 | "notes": "Connected landscapes can increase the effectiveness of | ||
| 82 | protected areas by facilitating individual movement and gene flow | 82 | protected areas by facilitating individual movement and gene flow | ||
| 83 | between populations, thereby increasing the persistence of species | 83 | between populations, thereby increasing the persistence of species | ||
| 84 | even in fragmented habitats. Connectivity planning is often based on | 84 | even in fragmented habitats. Connectivity planning is often based on | ||
| 85 | modeling connectivity for a limited number of species, i.e., | 85 | modeling connectivity for a limited number of species, i.e., | ||
| 86 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 86 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 87 | co-occurring species. Connectivity umbrellas are usually selected a | 87 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 88 | priori, based on a few life history traits and often without | 88 | priori, based on a few life history traits and often without | ||
| 89 | evaluating other species. We developed a quantitative method to | 89 | evaluating other species. We developed a quantitative method to | ||
| 90 | identify connectivity umbrellas at multiple scales. We demonstrate the | 90 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 91 | approach on the terrestrial large mammal community (24 species) in | 91 | approach on the terrestrial large mammal community (24 species) in | ||
| 92 | continental Europe at two scales: 13 geographic biomes and 36 | 92 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 93 | ecoregions, and evaluate the interaction of landscape characteristics | 93 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 94 | on the selection of connectivity umbrellas. We show that the number, | 94 | on the selection of connectivity umbrellas. We show that the number, | ||
| 95 | identity, and attributes of connectivity umbrellas are sensitive to | 95 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 96 | spatial scale and human influence on the landscape. Multiple species | 96 | spatial scale and human influence on the landscape. Multiple species | ||
| 97 | were selected as connectivity umbrellas in 92% of the geographic | 97 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 98 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 98 | 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 | 99 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 100 | effective connectivity umbrella across its entire range. We identified | 100 | effective connectivity umbrella across its entire range. We identified | ||
| 101 | significant interactions between species and landscape attributes. | 101 | significant interactions between species and landscape attributes. | ||
| 102 | Species selected as connectivity umbrellas in regions with low human | 102 | Species selected as connectivity umbrellas in regions with low human | ||
| 103 | influence have higher mean body mass, larger home ranges, longer | 103 | influence have higher mean body mass, larger home ranges, longer | ||
| 104 | dispersal distances, smaller geographic ranges, occur at lower | 104 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 105 | population densities, and are of higher conservation concern than | 105 | population densities, and are of higher conservation concern than | ||
| 106 | connectivity umbrellas in more human-influenced regions. More species | 106 | connectivity umbrellas in more human-influenced regions. More species | ||
| 107 | are required to meet connectivity targets in regions with high human | 107 | are required to meet connectivity targets in regions with high human | ||
| 108 | influence (average of three species) in comparison to regions with low | 108 | influence (average of three species) in comparison to regions with low | ||
| 109 | human influence (average of 1.67 species). We conclude that multiple | 109 | human influence (average of 1.67 species). We conclude that multiple | ||
| 110 | species selected in relation to landscape scale and characteristics | 110 | species selected in relation to landscape scale and characteristics | ||
| 111 | are essential to meet connectivity goals. Our approach enhances | 111 | are essential to meet connectivity goals. Our approach enhances | ||
| 112 | objectivity in selecting which and how many species are required for | 112 | objectivity in selecting which and how many species are required for | ||
| 113 | connectivity conservation and fosters well-informed decisions, that in | 113 | connectivity conservation and fosters well-informed decisions, that in | ||
| 114 | turn benefit entire communities and ecosystems.", | 114 | turn benefit entire communities and ecosystems.", | ||
| 115 | "notes_translated": { | 115 | "notes_translated": { | ||
| 116 | "en": "Connected landscapes can increase the effectiveness of | 116 | "en": "Connected landscapes can increase the effectiveness of | ||
| 117 | protected areas by facilitating individual movement and gene flow | 117 | protected areas by facilitating individual movement and gene flow | ||
| 118 | between populations, thereby increasing the persistence of species | 118 | between populations, thereby increasing the persistence of species | ||
| 119 | even in fragmented habitats. Connectivity planning is often based on | 119 | even in fragmented habitats. Connectivity planning is often based on | ||
| 120 | modeling connectivity for a limited number of species, i.e., | 120 | modeling connectivity for a limited number of species, i.e., | ||
| 121 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 121 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 122 | co-occurring species. Connectivity umbrellas are usually selected a | 122 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 123 | priori, based on a few life history traits and often without | 123 | priori, based on a few life history traits and often without | ||
| 124 | evaluating other species. We developed a quantitative method to | 124 | evaluating other species. We developed a quantitative method to | ||
| 125 | identify connectivity umbrellas at multiple scales. We demonstrate the | 125 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 126 | approach on the terrestrial large mammal community (24 species) in | 126 | approach on the terrestrial large mammal community (24 species) in | ||
| 127 | continental Europe at two scales: 13 geographic biomes and 36 | 127 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 128 | ecoregions, and evaluate the interaction of landscape characteristics | 128 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 129 | on the selection of connectivity umbrellas. We show that the number, | 129 | on the selection of connectivity umbrellas. We show that the number, | ||
| 130 | identity, and attributes of connectivity umbrellas are sensitive to | 130 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 131 | spatial scale and human influence on the landscape. Multiple species | 131 | spatial scale and human influence on the landscape. Multiple species | ||
| 132 | were selected as connectivity umbrellas in 92% of the geographic | 132 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 133 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 133 | 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 | 134 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 135 | effective connectivity umbrella across its entire range. We identified | 135 | effective connectivity umbrella across its entire range. We identified | ||
| 136 | significant interactions between species and landscape attributes. | 136 | significant interactions between species and landscape attributes. | ||
| 137 | Species selected as connectivity umbrellas in regions with low human | 137 | Species selected as connectivity umbrellas in regions with low human | ||
| 138 | influence have higher mean body mass, larger home ranges, longer | 138 | influence have higher mean body mass, larger home ranges, longer | ||
| 139 | dispersal distances, smaller geographic ranges, occur at lower | 139 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 140 | population densities, and are of higher conservation concern than | 140 | population densities, and are of higher conservation concern than | ||
| 141 | connectivity umbrellas in more human-influenced regions. More species | 141 | connectivity umbrellas in more human-influenced regions. More species | ||
| 142 | are required to meet connectivity targets in regions with high human | 142 | are required to meet connectivity targets in regions with high human | ||
| 143 | influence (average of three species) in comparison to regions with low | 143 | influence (average of three species) in comparison to regions with low | ||
| 144 | human influence (average of 1.67 species). We conclude that multiple | 144 | human influence (average of 1.67 species). We conclude that multiple | ||
| 145 | species selected in relation to landscape scale and characteristics | 145 | species selected in relation to landscape scale and characteristics | ||
| 146 | are essential to meet connectivity goals. Our approach enhances | 146 | are essential to meet connectivity goals. Our approach enhances | ||
| 147 | objectivity in selecting which and how many species are required for | 147 | objectivity in selecting which and how many species are required for | ||
| 148 | connectivity conservation and fosters well-informed decisions, that in | 148 | connectivity conservation and fosters well-informed decisions, that in | ||
| 149 | turn benefit entire communities and ecosystems.", | 149 | turn benefit entire communities and ecosystems.", | ||
| 150 | "es": "Connected landscapes can increase the effectiveness of | 150 | "es": "Connected landscapes can increase the effectiveness of | ||
| 151 | protected areas by facilitating individual movement and gene flow | 151 | protected areas by facilitating individual movement and gene flow | ||
| 152 | between populations, thereby increasing the persistence of species | 152 | between populations, thereby increasing the persistence of species | ||
| 153 | even in fragmented habitats. Connectivity planning is often based on | 153 | even in fragmented habitats. Connectivity planning is often based on | ||
| 154 | modeling connectivity for a limited number of species, i.e., | 154 | modeling connectivity for a limited number of species, i.e., | ||
| 155 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | 155 | \u201cconnectivity umbrellas\u201d, which serve as surrogates for | ||
| 156 | co-occurring species. Connectivity umbrellas are usually selected a | 156 | co-occurring species. Connectivity umbrellas are usually selected a | ||
| 157 | priori, based on a few life history traits and often without | 157 | priori, based on a few life history traits and often without | ||
| 158 | evaluating other species. We developed a quantitative method to | 158 | evaluating other species. We developed a quantitative method to | ||
| 159 | identify connectivity umbrellas at multiple scales. We demonstrate the | 159 | identify connectivity umbrellas at multiple scales. We demonstrate the | ||
| 160 | approach on the terrestrial large mammal community (24 species) in | 160 | approach on the terrestrial large mammal community (24 species) in | ||
| 161 | continental Europe at two scales: 13 geographic biomes and 36 | 161 | continental Europe at two scales: 13 geographic biomes and 36 | ||
| 162 | ecoregions, and evaluate the interaction of landscape characteristics | 162 | ecoregions, and evaluate the interaction of landscape characteristics | ||
| 163 | on the selection of connectivity umbrellas. We show that the number, | 163 | on the selection of connectivity umbrellas. We show that the number, | ||
| 164 | identity, and attributes of connectivity umbrellas are sensitive to | 164 | identity, and attributes of connectivity umbrellas are sensitive to | ||
| 165 | spatial scale and human influence on the landscape. Multiple species | 165 | spatial scale and human influence on the landscape. Multiple species | ||
| 166 | were selected as connectivity umbrellas in 92% of the geographic | 166 | were selected as connectivity umbrellas in 92% of the geographic | ||
| 167 | biomes (average of 4.15 species) and 83% of the ecoregions (average of | 167 | 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 | 168 | 3.16 species). None of the 24 species evaluated is by itself an | ||
| 169 | effective connectivity umbrella across its entire range. We identified | 169 | effective connectivity umbrella across its entire range. We identified | ||
| 170 | significant interactions between species and landscape attributes. | 170 | significant interactions between species and landscape attributes. | ||
| 171 | Species selected as connectivity umbrellas in regions with low human | 171 | Species selected as connectivity umbrellas in regions with low human | ||
| 172 | influence have higher mean body mass, larger home ranges, longer | 172 | influence have higher mean body mass, larger home ranges, longer | ||
| 173 | dispersal distances, smaller geographic ranges, occur at lower | 173 | dispersal distances, smaller geographic ranges, occur at lower | ||
| 174 | population densities, and are of higher conservation concern than | 174 | population densities, and are of higher conservation concern than | ||
| 175 | connectivity umbrellas in more human-influenced regions. More species | 175 | connectivity umbrellas in more human-influenced regions. More species | ||
| 176 | are required to meet connectivity targets in regions with high human | 176 | are required to meet connectivity targets in regions with high human | ||
| 177 | influence (average of three species) in comparison to regions with low | 177 | influence (average of three species) in comparison to regions with low | ||
| 178 | human influence (average of 1.67 species). We conclude that multiple | 178 | human influence (average of 1.67 species). We conclude that multiple | ||
| 179 | species selected in relation to landscape scale and characteristics | 179 | species selected in relation to landscape scale and characteristics | ||
| 180 | are essential to meet connectivity goals. Our approach enhances | 180 | are essential to meet connectivity goals. Our approach enhances | ||
| 181 | objectivity in selecting which and how many species are required for | 181 | objectivity in selecting which and how many species are required for | ||
| 182 | connectivity conservation and fosters well-informed decisions, that in | 182 | connectivity conservation and fosters well-informed decisions, that in | ||
| 183 | turn benefit entire communities and ecosystems." | 183 | turn benefit entire communities and ecosystems." | ||
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