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Open Access item Bioindicators of Forest Sustainability: Progress Report
|Authors:||Sampson, P. H.|
Mohammed, G. H.
Colombo, S. J.
Noland, T. L.
Miller, J. R.
Zarco-Tejada, Pablo J.
|Keywords:||Bioindicators, Forest health, Hyperspectral, Remote sensing, Physiology|
|Publisher:||Ontario Ministry of Natural Resources|
|Citation:||Forest Research Information Paper No. 142. 18p|
|Abstract:||Measurable indicators are needed to gauge the effects of management activities and
natural phenomena on forest sustainability. To meet this need, the Bioindicators of
Forest Sustainability Project is testing physiological approaches to develop a Forest
Condition Rating (FCR) system. An FCR system would directly support provincial
policy (e.g., Forest Resource Assessment Policy) and national initiatives (e.g., Criteria
and Indicators) by providing an understanding of ecosystem condition. Furthermore,
this project addresses a pressing need for indicators that can support operational
forest management and possible concerns of sustainability at the local level.
Development of an FCR system involves interpreting remotely sensed spectral
information with the aid of ground-based assessments of structural and functional
(i.e., physiological) aspects of forest condition. Analysis of this spectral information
may reveal indicators of health across a wide range of tree species and ages. Current
research activities include controlled laboratory studies, ground-based field
assessments and acquisition of hyperspectral airborne data to develop gradients in
key spectral features that correspond to actual differences in physiology. This report
provides first-year progress results. Preliminary correlations in controlled experiments
have been made between leaf-based spectral reflectance and physiological status.
Compilation of a leaf-based spectral database has been initiated. The database shows
the influence of species, leaf age, stress status, season and other factors on spectral
features. Other physiological and structural measures, such as foliar biochemistry,
stem electrical resistance, and leaf area index, have also been linked to forest decline
status. Finally, a brief summary of collaborative projects and proposed research
activities is provided.|
|Appears in Collections:||(IAS) Libros y partes de libros|
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