The current status of forest site classification in Ontario

1992 ◽  
Vol 68 (1) ◽  
pp. 64-77 ◽  
Author(s):  
R. A. Sims ◽  
P. Uhlig
Keyword(s):  
Resource Management ◽  
Building Blocks ◽  
Current Status ◽  
Background Information ◽  
Site Classification ◽  
Land Resource ◽  
Forest Site ◽  
Forest Sites ◽  
Soil Site ◽  
Forest Site Classification

Forest sites are diagnostic forest-landscape ecosystem units that resource managers must deal with during the planning and implementation stages of management. Forest sites are the basic building blocks for undertaking integrated resource management which weighs wildlife, recreation, environmental impact and various other concerns along with timber harvesting. Consequently, accurate and practical systems for classifying and mapping forest sites are becoming increasingly necessary to organize, communicate and use existing and new management knowledge and experience effectively.Over the past four decades in Ontario, a number of studies and resource surveys have provided important background information on forest sites. Many have considered, to varying extents, the integrative roles of vegetation, soil-site, landform and general climate on forests and forest land. Generally, the emphasis has been on description and classification, with results generating a better understanding of how various forests in different areas develop, both qualitatively and quantitatively, in relation to soil-site or other features of the basic land resource. Some of these studies and surveys have been instrumental in advancing the definitions and understanding of forested ecosystems. Others have provided new information on site dynamics, interrelationships and functions, or have contributed to the science (and art) of site evaluation and classification.This paper briefly summarizes the current status of forest site classification in Ontario. Over time, the role of forest site classification has evolved in response to new technologies and information, and to new emphases and values in resource management. In general, site classification research has become increasingly integrative and quantitative. Some of the important future challenges facing forest site classification in Ontario are briefly discussed. Key words: ecological land classification, forest ecology, forest ecosystem classification, forest management interpretations, forest site classification, land use planning, Ontario.

scholarly journals PERFORMANCE DA MODELAGEM PARA CLASSIFICAÇÃO DE SÍTIOS FLORESTAIS EM BASES DE DADOS COM OUTLIERS

Nativa ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 54-61
Author(s):  
Pábulo Diogo de Souza ◽  
Carlos Alberto Araújo Júnior ◽  
Christian Dias Cabacinha ◽  
Leandro Silva de Oliveira ◽  
Celso Dotta Lopes Junior ◽  
...  
Keyword(s):  
Radial Basis Function ◽  
Basis Function ◽  
Multilayer Perceptron ◽  
Forest Inventory ◽  
Eucalyptus Grandis ◽  
Site Index ◽  
Site Classification ◽  
Forest Site ◽  
Forest Sites ◽  
Forest Site Classification

As informações utilizadas para estimativa da capacidade produtiva de sítios florestais provêm de bases de dados de inventário florestal que podem conter observações discrepantes (outliers). Assim, torna-se necessário a análise de consistência para exclusão destes. Porém, os outliers podem representar determinado padrão de crescimento existente na floresta, logo a exclusão destes pode ser uma ação equivocada. Objetivou-se comparar a performance de diferentes técnicas de modelagem para classificação de sítios florestais, considerando uma base de dados com a presença de outliers. Utilizou-se pares de dados de idade e altura dominante (HD) de parcelas permanentes de Eucalyptus urophyla x Eucalyptus grandis localizadas no norte de Minas Gerais. Foi simulado um outlier de HD. A base de dados foi modelada, com e sem presença de outliers, por regressão linear (RL) e redes neurais artificiais Multilayer Perceptron (MLP) e Radial Basis Function (RBF). Os métodos foram analisados por meio dos critérios estatísticos de precisão: bias, raiz quadrada do erro médio, correlação de Pearson, erro médio percentual e gráfico de dispersão residual. A MLP foi superior para estimativa do índice de sítio. Portanto, a MLP é indicada para classificação de sítios florestais quando há presença de outliers na base de dados. Palavras-chave: índice de sítio; inventário florestal; dados discrepantes.   Performance of modeling for classification of forest sites in databases with outliers   ABSTRACT: The information used to estimate the productive capacity of forest sites comes from forest inventory databases that may contain discrepant observations (outliers). Thus, consistency analysis is required to exclude these. However, the outliers may represent a certain growth pattern existing in the forest, so their exclusion may be a mistaken action. The objective was to compare the performance of different modeling techniques for forest site classification, considering a database with the presence of outliers. We used pairs of data of age and dominant height (HD) of permanent parcels of Eucalyptus urophila x Eucalyptus grandis located in the north of Minas Gerais. A HD outlier was simulated. The database was modeled, with and without the presence of outliers, by linear regression (RL) and artificial neural networks Multilayer Perceptron (MLP) and Radial Basis Function (RBF). The methods were analyzed by means of precision statistical criteria: bias, square root of mean error, Pearson correlation, mean percentage error and residual scatter plot. The MLP was superior for site index estimation. Therefore, the MLP is indicated for forest site classification when there are outliers in the database. Keywords: site index; forest inventory; discrepant data.

Forest site classification using Landsat 7 ETM data: A case study of Maçka-Ormanüstü forest, Turkey

2008 ◽  
Vol 151 (1-4) ◽  
pp. 93-104 ◽  
Author(s):  
Alkan Günlü ◽  
Emin Zeki Başkent ◽  
Ali İhsan Kadıoğulları ◽  
Lokman Altun
Keyword(s):  
Site Classification ◽  
Forest Site ◽  
Landsat 7 ◽  
Forest Site Classification

scholarly journals Forest Site Classification in the Southern Andean Region of Ecuador: A Case Study of Pine Plantations to Collect a Base of Soil Attributes

Forests ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. 473 ◽  
Author(s):  
Pablo Quichimbo ◽  
Leticia Jiménez ◽  
Darío Veintimilla ◽  
Alexander Tischer ◽  
Sven Günter ◽  
...  
Keyword(s):  
Pine Plantations ◽  
Site Classification ◽  
Forest Site ◽  
Andean Region ◽  
Soil Attributes ◽  
Forest Site Classification

scholarly journals Basic Theory and Methods of Afforestation

Silviculture ◽  
2021 ◽  
Author(s):  
Jie Duan ◽  
Dilnur Abduwali
Keyword(s):  
Site Preparation ◽  
Site Classification ◽  
Forest Site ◽  
Site Conditions ◽  
Site Factors ◽  
Land Preparation ◽  
Forest Sites ◽  
Survival And Growth ◽  
Healthy Growth ◽  
The Right

Afforestation is an important practice in silviculture. This chapter outlines the forest site, site preparation, selection of afforestation materials in the process of afforestation. The life cycle of forests is very long, and it is difficult to change them once afforested. Therefore, the forest site must be analyzed in depth before afforestation to maintain the success of afforestation and the healthy growth of forests later. Forest sites are mainly affected by environmental and human activities. To facilitate afforestation, it is necessary to evaluate and classify the forest site factors and achieve a suitable species planted on the right site. Site preparation is also based on site classification. It is usually carried out after determining the type of afforestation land, divided into mechanical land preparation and chemical methods. An essential task of site preparation is to maintain soil moisture and promote seedlings’ survival and growth. Afforestation materials are mainly divided into three categories: seed, seedling, and cutting. The choice of these three types of afforestation materials and methods is related to site conditions, tree species, and age.

Forest site classification in Alberta: its evolution and present status

1992 ◽  
Vol 68 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Ian G. W. Corns
Keyword(s):  
Soil Survey ◽  
Site Classification ◽  
Forest Site ◽  
Field Guides ◽  
New Information ◽  
Ecosystem Classification ◽  
History Of ◽  
A Site ◽  
Available Information ◽  
Forest Site Classification

The early history of forest site classification in Alberta is briefly reviewed. The major site classification effort, the biogeoclimatic ecosystem classification, and its progress over the past fifteen years is discussed. Available forest ecosystem and soil survey information was combined with other available information to produce a field guide with interpretations for forest management for one area in west-central Alberta. Similar field guides are in preparation. The obstacles to implementing a site classification are discussed, as are opportunities for using new information systems technologies. Key words: Alberta, biogeoclimatic classification, forest ecosystems, forest site classification, site description.

scholarly journals Forest site classification activities in Northern Canada

1992 ◽  
Vol 68 (1) ◽  
pp. 94-99 ◽  
Author(s):  
E. T. Oswald
Keyword(s):  
Ecological Factors ◽  
Renewable Resource ◽  
Wood Products ◽  
Wildlife Habitat ◽  
Site Classification ◽  
Forest Site ◽  
Forest Environment ◽  
Northern Canada ◽  
Ecological Land Classification ◽  
Forest Site Classification

Historically, site classification north of 60°N. Lat. includes related activities conducted by geologists over the last century, particularly the information presented on surficial materials. Ecological land classification provides a technique suitable for evaluating the capability of the land base to satisfy the requirements of various renewable resource sectors. Ecological Land Surveys that included an assessment of forest capability have been used over much of northern Canada. A forest inventory, or cover mapping, has been done for part of the forest environment. The demands on the forest resource are increasing, not only for the utilization of wood products, but also for recreational facilities, tourism, and wildlife habitat. Forest site classification based on ecological factors is essential to provide an informed basis for making resource management and utilization decisions. Some site classification techniques are discussed, and recommendations made in support of continuing classification and surveys for more intensive management and for the preservation and analyses of ecological reserves.

scholarly journals Forest site classification in New Brunswick

1992 ◽  
Vol 68 (1) ◽  
pp. 34-41 ◽  
Author(s):  
Colin Bowling ◽  
Vincent Zelazny
Keyword(s):  
New Brunswick ◽  
Assessment Tool ◽  
Vegetation Type ◽  
Soil Characteristics ◽  
Site Classification ◽  
Forest Site ◽  
Treatment Unit ◽  
Field Guides ◽  
Natural Stands ◽  
Forest Site Classification

Six site classification field guides covering nine site regions were published in March, 1989. They completed the design phase of a province-wide site classification program begun in 1981. The site classification system is designed as an on-site, preharvest assessment tool for use in mature and overmature natural stands. It incorporates easily recognizable vegetation and soil characteristics to classify each stand into a Vegetation Type (VT), a Soil Type (ST), and a Treatment Unit (TU). Forest management and silvicultural interpretations are given for each TU, with the primary interpretation being site productivity.

scholarly journals Quelle est la place des champignons supérieurs dans les stations forestières? | What is the status of higher fungi in forest site classification?

2003 ◽  
Vol 154 (5) ◽  
pp. 149-160 ◽  
Author(s):  
François Ayer ◽  
Peter Lüscher ◽  
Simon Egli
Keyword(s):  
Mycorrhizal Fungi ◽  
Environmental Changes ◽  
Acid Soils ◽  
Fungal Species ◽  
Site Classification ◽  
Forest Site ◽  
Alkaline Soils ◽  
Forest Types ◽  
Data Set ◽  
Forest Sites

17 forest sites in three Swiss cantons (Berne, Solothurn, Fribourg)were investigated mycologically during a four year period to find out to what extent higher fungi are bound to specific forest sites and whether they are suitable for characterizing forest types. The species lists reveal a species specific dependency on soil pH: 32% of the inventorized fungal species can be found in the whole pH range, 50% were found only in acid soils up to a pH of 5.75, and 18% in only neutral to alkaline soils. The species fructifying on slightly acid to neutral soils are considered to be possible indicator species for such environmental changes as acidification or eutrophisation. The present classification of higher fungi into pH-classes and forest types is a tentative one. The data set will be supplemented with further observations in order to attain a more definitive classification. These preliminary analyses, however, already reveal the suitability of higher fungi for characterizing and classifying forest types. The four-year investigation showed that pure coniferous forests are richer in macromycetes species than generally supposed and also that they harbour a higher percentage of mycorrhizal fungi than deciduous forests.

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