TY - BOOK ID - 16191790 TI - Mapping Forest Landscape Patterns AU - Remmel, Tarmo K. AU - Perera, Ajith H. PY - 2017 SN - 1493973312 1493973290 PB - New York, NY : Springer New York : Imprint: Springer, DB - UniCat KW - Life sciences. KW - Applied ecology. KW - Landscape ecology. KW - Forestry. KW - Environmental management. KW - Life Sciences. KW - Landscape Ecology. KW - Applied Ecology. KW - Environmental Management. KW - Forest mapping KW - Forests and forestry KW - Forest surveys KW - Vegetation mapping KW - Mapping KW - Forests and forestry. KW - Environmental stewardship KW - Stewardship, Environmental KW - Environmental sciences KW - Management KW - Ecology KW - Environmental protection KW - Nature conservation KW - Forest land KW - Forest lands KW - Forest planting KW - Forest production KW - Forest sciences KW - Forestation KW - Forested lands KW - Forestland KW - Forestlands KW - Forestry KW - Forestry industry KW - Forestry sciences KW - Land, Forest KW - Lands, Forest KW - Silviculture KW - Sylviculture KW - Woodlands KW - Woods (Forests) KW - Agriculture KW - Natural resources KW - Afforestation KW - Arboriculture KW - Logging KW - Timber KW - Tree crops KW - Trees UR - https://www.unicat.be/uniCat?func=search&query=sysid:16191790 AB - This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis. . ER -