4. ISPEC International Congress On Contemporary Scientific Research, Ganca, Azerbaycan, 14 - 15 Kasım 2023, (Yayınlanmadı)
A
forest ecosystem can be defined briefly as an ecological unit of mutual and
dynamic relationships between communities of organisms and the environmental
conditions that form a habitat in a certain geographical location. Constructing
the functioning of this integrated system within various assumptions and
representing it through computer models has been among the efforts of
scientists for many years. After creating a conceptual framework for a model,
the one tend to see it as it is now ready for implementation in many ecosystem
types for single or multiple purposes. For there is no standards nor limits,
modeling might still be an uncharted territory of ecological studies. It is
frequently stated that modeling is a very active and challenging research field
with sophisticated concepts and techniques. If the model concept is not
constructed via suitable data paths (i.e., in-situ observations and/or
laboratory evidence of the relationships), each statement can be a spectrum
whose extremes are fact and fiction. Eventually, as in cases with almost all
studies carried out specifically for forest ecosystems, the methods for determining
and estimating the amounts and rates of components in forest ecosystems involve
a tremendous workflow.
It
is desired that the data to be used in modeling a forest ecosystem be as
site-specific as possible. Although the studies to be carried out in this
context may seem labor- and financial-intensive, the relentless fact is that
the originality of the data will be reflected in the model outputs. So, for
this study, models frequently used in modeling forest ecosystems at various
sites were examined within the scope of their variables, input and output types
and modeling processes. Depending on the variables, appropriate data types, and
the good practice for generating and adopting them from field measurements and
other sources were evaluated and compared with the discussions in the literature.