NDLI: Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?

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Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?

Journal of Environmental Monitoring Vol -5

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Journal of Environmental Monitoring Vol -2

Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?

Content Provider	Royal Society of Chemistry (RSC)
Author	Luyssaert, Sebastiaan Raitio, Hannu Sulkava, Mika Hollmén, Jaakko
Copyright Year	2004
Abstract	This paper introduces the use of nutrition profiles as a first step in the development of a concept that is suitable for evaluating forest nutrition on the basis of large-scale foliar surveys. Nutrition profiles of a tree or stand were defined as the nutrient status, which accounts for all element concentrations, contents and interactions between two or more elements. Therefore a nutrition profile overcomes the shortcomings associated with the commonly used concepts for evaluating forest nutrition. Nutrition profiles can be calculated by means of a neural network, i.e. a self-organizing map, and an agglomerative clustering algorithm with pruning. As an example, nutrition profiles were calculated to describe the temporal variation in the mineral composition of Scots pine and Norway spruce needles in Finland between 1987 and 2000. The temporal trends in the frequency distribution of the nutrition profiles of Scots pine indicated that, between 1987 and 2000, the N, S, P, K, Ca, Mg and Al decreased, whereas the needle mass (NM) increased or remained unchanged. As there were no temporal trends in the frequency distribution of the nutrition profiles of Norway spruce, the mineral composition of the needles of Norway spruce needles subsequently did not change. Interpretation of the (lack of) temporal trends was outside the scope of this example. However, nutrition profiles prove to be a new and better concept for the evaluation of the mineral composition of large-scale surveys only when a biological interpretation of the nutrition profiles can be provided.
Starting Page	160
Ending Page	167
Page Count	8
File Format	HTM / HTML PDF
ISSN	14640325
Volume Number	6
Issue Number	2
Journal	Journal of Environmental Monitoring
DOI	10.1039/b313372a
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Al Norway Finland Artificial neural network Self-organizing map Algorithm Mineral Scots pine Spruce
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Management, Monitoring, Policy and Law

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Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future? (2004).

Is n and s deposition altering the mineral nutrient composition of norway spruce and scots pine needles in finland (2006)

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Reprinted with permission. Finding profiles of forest nutrition by clustering of the self-organizing map.

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Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?

Similar Documents

Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future? (2004).

Is n and s deposition altering the mineral nutrient composition of norway spruce and scots pine needles in finland (2006)

Biomass equations for Scots pine and Norway spruce in Finland

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Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?