Resource Assessment Techniques for Continuous Cover Forestry

Abstract

From a statistical point of view continuous cover forestry (CCF) systems are heterogeneous populations, whose attributes show high variability and diversity. While information needs for homogeneous, even-aged, single species stands can easily be satisfied by providing information on statistical key parameters, CCF systems render information on spatial patterns and forest structures necessary. Beside statistical point estimates information on the distribution of attributes is crucial for managing CCF systems and describing their ecological condition. This paper summarizes selected methodologies that recently have promoted the assessment of CCF systems. Special emphasis is given to information needs, terrestrial surveys, remote sensing techniques, mapped information and change estimation.