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En el instante 25 de junio de 2026, 12:34:53 UTC,
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Modificado el valor del campo
modified
a2026-06-25
en Indices for the spatial assessment of road and traffic impacts on ecosystems. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Indices for the spatial assessment of road and traffic impacts on ecosystems.
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| 80 | "name": "7fdb4608-b5b6-515f-8a3b-ed9e9f3541eb", | 94 | "name": "7fdb4608-b5b6-515f-8a3b-ed9e9f3541eb", | ||
| 81 | "notes": "The increase in roads and traffic through the last century | 95 | "notes": "The increase in roads and traffic through the last century | ||
| 82 | has caused extensive fragmentation of the landscape affecting | 96 | has caused extensive fragmentation of the landscape affecting | ||
| 83 | biodiversity and ecosystem function. Subsequent changes to the natural | 97 | biodiversity and ecosystem function. Subsequent changes to the natural | ||
| 84 | heterogeneity of landscapes have impaired movement and persistence of | 98 | heterogeneity of landscapes have impaired movement and persistence of | ||
| 85 | populations for many species and altered ecosystem structure and | 99 | populations for many species and altered ecosystem structure and | ||
| 86 | processes. Science lacks a full understanding of the effects of road | 100 | processes. Science lacks a full understanding of the effects of road | ||
| 87 | disturbance on ecosystem health because methods for assessing the | 101 | disturbance on ecosystem health because methods for assessing the | ||
| 88 | immediate and lasting influences they have on biodiversity and | 102 | immediate and lasting influences they have on biodiversity and | ||
| 89 | ecological processes are in early stages of development. Recently, two | 103 | ecological processes are in early stages of development. Recently, two | ||
| 90 | indices have been developed for the assessment of road and traffic | 104 | indices have been developed for the assessment of road and traffic | ||
| 91 | impacts on ecosystems. First, a spatial road disturbance index | 105 | impacts on ecosystems. First, a spatial road disturbance index | ||
| 92 | (SPROADI) was developed and applied to the Federal State of | 106 | (SPROADI) was developed and applied to the Federal State of | ||
| 93 | Brandenburg in north-eastern Germany as a case study. The index is | 107 | Brandenburg in north-eastern Germany as a case study. The index is | ||
| 94 | calculated from three sub-indices: (1) traffic intensity as a measure | 108 | calculated from three sub-indices: (1) traffic intensity as a measure | ||
| 95 | of traffic volume per time and space; (2) vicinity impact, which is | 109 | of traffic volume per time and space; (2) vicinity impact, which is | ||
| 96 | the assessment of edge effect of roads on adjacent habitats (the | 110 | the assessment of edge effect of roads on adjacent habitats (the | ||
| 97 | road-effect zone); and (3) fragmentation grade, which provides an | 111 | road-effect zone); and (3) fragmentation grade, which provides an | ||
| 98 | indication of the degree to which the landscape is intersected by | 112 | indication of the degree to which the landscape is intersected by | ||
| 99 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | 113 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | ||
| 100 | index designed for assessing the functionality of forests. Again, | 114 | index designed for assessing the functionality of forests. Again, | ||
| 101 | three sub-indices are devised: (1) tree-related forest structure; (2) | 115 | three sub-indices are devised: (1) tree-related forest structure; (2) | ||
| 102 | connectivity and size of functional forest patches; and (2) non-forest | 116 | connectivity and size of functional forest patches; and (2) non-forest | ||
| 103 | matrix characteristics (including SPROADI). When applied to land cover | 117 | matrix characteristics (including SPROADI). When applied to land cover | ||
| 104 | data for Brandenburg the integrated index clearly identified forest | 118 | data for Brandenburg the integrated index clearly identified forest | ||
| 105 | patches of potentially high conservation value. It also provided a | 119 | patches of potentially high conservation value. It also provided a | ||
| 106 | more sophisticated picture of the relationship between forest | 120 | more sophisticated picture of the relationship between forest | ||
| 107 | functional status and disturbance by roads. An important message to | 121 | functional status and disturbance by roads. An important message to | ||
| 108 | forest managers refers to areas under low road and traffic impact that | 122 | forest managers refers to areas under low road and traffic impact that | ||
| 109 | were assessed as of low functionality. These may have a particularly | 123 | were assessed as of low functionality. These may have a particularly | ||
| 110 | high potential to be developed into highly valuable forests. As a | 124 | high potential to be developed into highly valuable forests. As a | ||
| 111 | central message to traffic infrastructure planners, the index | 125 | central message to traffic infrastructure planners, the index | ||
| 112 | indicates the existence of, sometimes relatively large, forest areas | 126 | indicates the existence of, sometimes relatively large, forest areas | ||
| 113 | of high ecosystem functionality that have not yet been dissected by | 127 | of high ecosystem functionality that have not yet been dissected by | ||
| 114 | roads. Road construction through these valuable areas should be | 128 | roads. Road construction through these valuable areas should be | ||
| 115 | avoided or at least be reduced to the minimum extent possible. These | 129 | avoided or at least be reduced to the minimum extent possible. These | ||
| 116 | novel methods thus have important implications for proactive planning | 130 | novel methods thus have important implications for proactive planning | ||
| 117 | and sustainable management of landscapes.", | 131 | and sustainable management of landscapes.", | ||
| 118 | "notes_translated": { | 132 | "notes_translated": { | ||
| 119 | "en": "The increase in roads and traffic through the last century | 133 | "en": "The increase in roads and traffic through the last century | ||
| 120 | has caused extensive fragmentation of the landscape affecting | 134 | has caused extensive fragmentation of the landscape affecting | ||
| 121 | biodiversity and ecosystem function. Subsequent changes to the natural | 135 | biodiversity and ecosystem function. Subsequent changes to the natural | ||
| 122 | heterogeneity of landscapes have impaired movement and persistence of | 136 | heterogeneity of landscapes have impaired movement and persistence of | ||
| 123 | populations for many species and altered ecosystem structure and | 137 | populations for many species and altered ecosystem structure and | ||
| 124 | processes. Science lacks a full understanding of the effects of road | 138 | processes. Science lacks a full understanding of the effects of road | ||
| 125 | disturbance on ecosystem health because methods for assessing the | 139 | disturbance on ecosystem health because methods for assessing the | ||
| 126 | immediate and lasting influences they have on biodiversity and | 140 | immediate and lasting influences they have on biodiversity and | ||
| 127 | ecological processes are in early stages of development. Recently, two | 141 | ecological processes are in early stages of development. Recently, two | ||
| 128 | indices have been developed for the assessment of road and traffic | 142 | indices have been developed for the assessment of road and traffic | ||
| 129 | impacts on ecosystems. First, a spatial road disturbance index | 143 | impacts on ecosystems. First, a spatial road disturbance index | ||
| 130 | (SPROADI) was developed and applied to the Federal State of | 144 | (SPROADI) was developed and applied to the Federal State of | ||
| 131 | Brandenburg in north-eastern Germany as a case study. The index is | 145 | Brandenburg in north-eastern Germany as a case study. The index is | ||
| 132 | calculated from three sub-indices: (1) traffic intensity as a measure | 146 | calculated from three sub-indices: (1) traffic intensity as a measure | ||
| 133 | of traffic volume per time and space; (2) vicinity impact, which is | 147 | of traffic volume per time and space; (2) vicinity impact, which is | ||
| 134 | the assessment of edge effect of roads on adjacent habitats (the | 148 | the assessment of edge effect of roads on adjacent habitats (the | ||
| 135 | road-effect zone); and (3) fragmentation grade, which provides an | 149 | road-effect zone); and (3) fragmentation grade, which provides an | ||
| 136 | indication of the degree to which the landscape is intersected by | 150 | indication of the degree to which the landscape is intersected by | ||
| 137 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | 151 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | ||
| 138 | index designed for assessing the functionality of forests. Again, | 152 | index designed for assessing the functionality of forests. Again, | ||
| 139 | three sub-indices are devised: (1) tree-related forest structure; (2) | 153 | three sub-indices are devised: (1) tree-related forest structure; (2) | ||
| 140 | connectivity and size of functional forest patches; and (2) non-forest | 154 | connectivity and size of functional forest patches; and (2) non-forest | ||
| 141 | matrix characteristics (including SPROADI). When applied to land cover | 155 | matrix characteristics (including SPROADI). When applied to land cover | ||
| 142 | data for Brandenburg the integrated index clearly identified forest | 156 | data for Brandenburg the integrated index clearly identified forest | ||
| 143 | patches of potentially high conservation value. It also provided a | 157 | patches of potentially high conservation value. It also provided a | ||
| 144 | more sophisticated picture of the relationship between forest | 158 | more sophisticated picture of the relationship between forest | ||
| 145 | functional status and disturbance by roads. An important message to | 159 | functional status and disturbance by roads. An important message to | ||
| 146 | forest managers refers to areas under low road and traffic impact that | 160 | forest managers refers to areas under low road and traffic impact that | ||
| 147 | were assessed as of low functionality. These may have a particularly | 161 | were assessed as of low functionality. These may have a particularly | ||
| 148 | high potential to be developed into highly valuable forests. As a | 162 | high potential to be developed into highly valuable forests. As a | ||
| 149 | central message to traffic infrastructure planners, the index | 163 | central message to traffic infrastructure planners, the index | ||
| 150 | indicates the existence of, sometimes relatively large, forest areas | 164 | indicates the existence of, sometimes relatively large, forest areas | ||
| 151 | of high ecosystem functionality that have not yet been dissected by | 165 | of high ecosystem functionality that have not yet been dissected by | ||
| 152 | roads. Road construction through these valuable areas should be | 166 | roads. Road construction through these valuable areas should be | ||
| 153 | avoided or at least be reduced to the minimum extent possible. These | 167 | avoided or at least be reduced to the minimum extent possible. These | ||
| 154 | novel methods thus have important implications for proactive planning | 168 | novel methods thus have important implications for proactive planning | ||
| 155 | and sustainable management of landscapes.", | 169 | and sustainable management of landscapes.", | ||
| 156 | "es": "The increase in roads and traffic through the last century | 170 | "es": "The increase in roads and traffic through the last century | ||
| 157 | has caused extensive fragmentation of the landscape affecting | 171 | has caused extensive fragmentation of the landscape affecting | ||
| 158 | biodiversity and ecosystem function. Subsequent changes to the natural | 172 | biodiversity and ecosystem function. Subsequent changes to the natural | ||
| 159 | heterogeneity of landscapes have impaired movement and persistence of | 173 | heterogeneity of landscapes have impaired movement and persistence of | ||
| 160 | populations for many species and altered ecosystem structure and | 174 | populations for many species and altered ecosystem structure and | ||
| 161 | processes. Science lacks a full understanding of the effects of road | 175 | processes. Science lacks a full understanding of the effects of road | ||
| 162 | disturbance on ecosystem health because methods for assessing the | 176 | disturbance on ecosystem health because methods for assessing the | ||
| 163 | immediate and lasting influences they have on biodiversity and | 177 | immediate and lasting influences they have on biodiversity and | ||
| 164 | ecological processes are in early stages of development. Recently, two | 178 | ecological processes are in early stages of development. Recently, two | ||
| 165 | indices have been developed for the assessment of road and traffic | 179 | indices have been developed for the assessment of road and traffic | ||
| 166 | impacts on ecosystems. First, a spatial road disturbance index | 180 | impacts on ecosystems. First, a spatial road disturbance index | ||
| 167 | (SPROADI) was developed and applied to the Federal State of | 181 | (SPROADI) was developed and applied to the Federal State of | ||
| 168 | Brandenburg in north-eastern Germany as a case study. The index is | 182 | Brandenburg in north-eastern Germany as a case study. The index is | ||
| 169 | calculated from three sub-indices: (1) traffic intensity as a measure | 183 | calculated from three sub-indices: (1) traffic intensity as a measure | ||
| 170 | of traffic volume per time and space; (2) vicinity impact, which is | 184 | of traffic volume per time and space; (2) vicinity impact, which is | ||
| 171 | the assessment of edge effect of roads on adjacent habitats (the | 185 | the assessment of edge effect of roads on adjacent habitats (the | ||
| 172 | road-effect zone); and (3) fragmentation grade, which provides an | 186 | road-effect zone); and (3) fragmentation grade, which provides an | ||
| 173 | indication of the degree to which the landscape is intersected by | 187 | indication of the degree to which the landscape is intersected by | ||
| 174 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | 188 | roads. Second, SPROADI was integrated into a novel, ecosystem-specific | ||
| 175 | index designed for assessing the functionality of forests. Again, | 189 | index designed for assessing the functionality of forests. Again, | ||
| 176 | three sub-indices are devised: (1) tree-related forest structure; (2) | 190 | three sub-indices are devised: (1) tree-related forest structure; (2) | ||
| 177 | connectivity and size of functional forest patches; and (2) non-forest | 191 | connectivity and size of functional forest patches; and (2) non-forest | ||
| 178 | matrix characteristics (including SPROADI). When applied to land cover | 192 | matrix characteristics (including SPROADI). When applied to land cover | ||
| 179 | data for Brandenburg the integrated index clearly identified forest | 193 | data for Brandenburg the integrated index clearly identified forest | ||
| 180 | patches of potentially high conservation value. It also provided a | 194 | patches of potentially high conservation value. It also provided a | ||
| 181 | more sophisticated picture of the relationship between forest | 195 | more sophisticated picture of the relationship between forest | ||
| 182 | functional status and disturbance by roads. An important message to | 196 | functional status and disturbance by roads. An important message to | ||
| 183 | forest managers refers to areas under low road and traffic impact that | 197 | forest managers refers to areas under low road and traffic impact that | ||
| 184 | were assessed as of low functionality. These may have a particularly | 198 | were assessed as of low functionality. These may have a particularly | ||
| 185 | high potential to be developed into highly valuable forests. As a | 199 | high potential to be developed into highly valuable forests. As a | ||
| 186 | central message to traffic infrastructure planners, the index | 200 | central message to traffic infrastructure planners, the index | ||
| 187 | indicates the existence of, sometimes relatively large, forest areas | 201 | indicates the existence of, sometimes relatively large, forest areas | ||
| 188 | of high ecosystem functionality that have not yet been dissected by | 202 | of high ecosystem functionality that have not yet been dissected by | ||
| 189 | roads. Road construction through these valuable areas should be | 203 | roads. Road construction through these valuable areas should be | ||
| 190 | avoided or at least be reduced to the minimum extent possible. These | 204 | avoided or at least be reduced to the minimum extent possible. These | ||
| 191 | novel methods thus have important implications for proactive planning | 205 | novel methods thus have important implications for proactive planning | ||
| 192 | and sustainable management of landscapes." | 206 | and sustainable management of landscapes." | ||
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