title: Uncertainties of forest area estimates caused by the minimum crown cover criterion--a scale issue relevant to forest cover monitoring.
abstract: Defining "forest land" is a complex issue and has been discussed for decades. Today, a confusing multitude of definitions of forest land are in use making comparison of forest area figures difficult. But currently, comparability is receiving much attention when it comes to install market mechanisms for ecosystem services. Minimum crown cover is among the most frequently employed criteria of forest definitions. However, the size of the reference area on which the crown cover percent is to be measured is usually not defined. But how does a change of the size of the reference area affect the derived forest cover? In this study, we analyze the interactions of the crown cover threshold and the size of the reference area. We start with analyzing the interactions using a simple geometric model of the forest edge. Then, we extend the analysis by simulating artificial landscapes where we study how the interaction is affected by different degrees of forest fragmentation, crown cover proportion, and spatial resolution of the data source used. The simulation showed that large differences in forest cover (>50 %) may result for a fixed crown cover threshold value, just by changing the size of the reference area, where the magnitude of this effect is a function of the chosen threshold value and the spatial configuration of the crowns. As a consequence of the findings, we see an urgent need to complete forest definitions by defining a reference area in order to reduce uncertainties of forest cover estimates.
authors.affiliation: Chair of Forest Inventory and Remote Sensing, Burckhardt-Institute, Georg-August-Universität Göttingen, Büsgenweg 5, Göttingen, 37077, Germany. pmagdon@gwdg.de
authors.forename: Paul
authors.initials: P
authors.lastname: Magdon
authors.forename: Christoph
authors.initials: C
authors.lastname: Kleinn
mesh_terms: D003247:Conservation of Natural Resources / Q000379:methods; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods; D016468:Forestry / Q000379:methods*; D013223:Statistics as Topic; D014197:Trees / Q000254:growth & development*; D035501:Uncertainty