Use of historical logging patterns to identify disproportionately logged ecosystems within temperate rainforests of southeastern Alaska

Conserv Biol. 2013 Aug;27(4):774-84. doi: 10.1111/cobi.12109.

Abstract

The forests of southeastern Alaska remain largely intact and contain a substantial proportion of Earth's remaining old-growth temperate rainforest. Nonetheless, industrial-scale logging has occurred since the 1950s within a relatively narrow range of forest types that has never been quantified at a regional scale. We analyzed historical patterns of logging from 1954 through 2004 and compared the relative rates of change among forest types, landform associations, and biogeographic provinces. We found a consistent pattern of disproportionate logging at multiple scales, including large-tree stands and landscapes with contiguous productive old-growth forests. The highest rates of change were among landform associations and biogeographic provinces that originally contained the largest concentrations of productive old growth (i.e., timber volume >46.6 m³/ha). Although only 11.9% of productive old-growth forests have been logged region wide, large-tree stands have been reduced by at least 28.1%, karst forests by 37%, and landscapes with the highest volume of contiguous old growth by 66.5%. Within some island biogeographic provinces, loss of rare forest types may place local viability of species dependent on old growth at risk of extirpation. Examination of historical patterns of change among ecological forest types can facilitate planning for conservation of biodiversity and sustainable use of forest resources.

Keywords: bosque maduro; cambio en cobertura de suelo; forestry; fragmentación; fragmentation; land-cover change; old-growth forest; silvicultura.

Publication types

  • Historical Article
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alaska
  • Conservation of Natural Resources / methods
  • Conservation of Natural Resources / statistics & numerical data*
  • Ecosystem*
  • Forestry / history*
  • Forestry / statistics & numerical data*
  • Geography
  • History, 20th Century
  • History, 21st Century
  • Logistic Models
  • Species Specificity
  • Trees*