Management of Multi-scale Forest Resource Data over Time

During the last decades there has been a global shift
in forest
management from a focus solely on timber management to
ecosystem management that endorses all aspects of forest
functions: ecological, economic and social. This has
resulted in a
shift in paradigm from sustained yield to sustained
diversity of
values, goods and benefits obtained at the same time,
introducing
new temporal and spatial scales into forest resource
management.
This book present methods that enable spatial and
temporal scales
to be introduced into the storage, processing, access
and utilization
of forest resource data. The methods developed are
based on a
conceptual view of a forest as a hierarchically
nested collection of
objects that can have a dynamically changing set of
attributes. The
temporal aspect of the methods consists of lifetime
management for
the objects and their attributes and of a temporal
succession linking
the objects together. The method presented is
extensible and
configurable with regards to the data content and model
calculations, allowing for a diverse set of
processing operations to
be executed using the presented framework.

Autorentext
The author holds a Ph.D. degree in forestry from the University of Helsinki, Finland. In his academic research he has consentrated on forest resource data management and flexible planning computations. He's one of the founding partners of Simosol Oy, a company delivering solutions for computationally intensive planning problems.

Klappentext
During the last decades there has been a global shift in forest management from a focus solely on timber management to ecosystem management that endorses all aspects of forest functions: ecological, economic and social. This has resulted in a shift in paradigm from sustained yield to sustained diversity of values, goods and benefits obtained at the same time, introducing new temporal and spatial scales into forest resource management. This book present methods that enable spatial and temporal scales to be introduced into the storage, processing, access and utilization of forest resource data. The methods developed are based on a conceptual view of a forest as a hierarchically nested collection of objects that can have a dynamically changing set of attributes. The temporal aspect of the methods consists of lifetime management for the objects and their attributes and of a temporal succession linking the objects together. The method presented is extensible and configurable with regards to the data content and model calculations, allowing for a diverse set of processing operations to be executed using the presented framework.