scholarly journals Forest site classification activities in Northern Canada

1992 ◽  
Vol 68 (1) ◽  
pp. 94-99 ◽  
Author(s):  
E. T. Oswald

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.

2011 ◽  
Vol 87 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Bharat Pokharel ◽  
Jeffery P Dech

Forest site classification is a prerequisite to successful integrated forest resources planning and management. Traditionally,site classification has emphasized a phytocentric approach, with tools such as the site index having a rich and longhistory in forest site evaluation. The concept of site index was primarily devised to assess site productivity of an even-aged,single-species stand. Site index has been the primary method of forest site evaluation in support of management for traditionalforest products. However, this method of site classification has been criticized as the needs, perspectives andsocial values of the public regarding forest management have changed the emphasis from timber production to multiplevalueforestry practices. There are alternative approaches to forest site classification that have the potential to meet thegrowing demands placed on forest information for inventory and modeling purposes. Ecological Land Classification(ELC), is a phytogeocentric approach that stratifies the landscape into ecologically meaningful units (ecosites) based onsubstrate characteristics, moisture regime and canopy composition. This approach offers a more holistic view of site productivityevaluation; however, until recently it has been difficult to acquire data to support widespread mapping ofecosites. Remote sensing technology along with predictive modeling and interpretive mapping techniques make the applicationof an ecosite-based approach at the forest landscape level possible. As forest management moves towards the considerationof a broader set of resources (e.g., woody biomass), there is an opportunity to develop new tools for linking forestproductivity to the sustainable production of forest bioproducts with forest ecosites as a solid foundation forsegmenting the landscape. Key words: forest site classification, site index, site productivity, Ecological Land Classification (ELC), ecosites, forest biomass,bioproducts


1992 ◽  
Vol 68 (1) ◽  
pp. 42-52 ◽  
Author(s):  
L. Bélanger ◽  
C. Camiré ◽  
Y. Bergeron

After a brief review of floristic classifications, ecological survey, as carried out in Quebec, is described. Three stages of development of ecological survey over the past twenty-five years are identified: (1) the pioneer work of Jurdant; (2) major ecological surveys from the late 1960s to the late 1970s; and (3) the diversification of the groups involved in ecological land surveys beginning in the 1980s, including universities, the Quebec Environment Department (MENVIQ) and the Quebec Department of Energy and Resources (MER). Intended for use in integrated land management, ecological survey must be an effective integrator of the various ecological evaluations; the information must be easily communicable and the methodology must be flexible. Ecological land classification has two dimensions: (1) taxonomic; and (2) cartographic. In the taxonomic units, the ecological region, the ecological type and the ecological phase are identified. In cartographic terms, local (ecological phase and type), regional (ecological system and subsystem) and national (ecological district and region) resolution is identified.Quebec universities, MER and MENVIQ are presently involved in ecological land surveys. The new Forest Act, which was enacted in 1986 and which provides for sustainable yield and more intensive forest management, is a major force behind the promotion of the use of ecological inventories as the basis for management activities. Mapping of the ecological regions (1:1,250,000) has almost been completed in Quebec. Total coverage of the commercial forest as a function of ecological districts (1:250,000) could be completed within five years, and the mapping of ecological types (1:20,000) could be completed in 20 years at a rate of 10,000 km2 a year. Although in the past ecological land surveys have been used primarily for environmental impact analyses (for instance, the installation of hydroelectric equipment and transportation corridors), the ecological framework is presently being used to prepare development plans for a number of regional county municipalities (RCMs). Pilot projects are under way to assess the potential applications of the ecological framework to forestry as part of intensive management efforts. Improvements are needed in both the accessibility of the information provided by the ecological framework (maps, site guides) and the development of interpretative tools for silvicultural measures. Key words: ecological survey, ecosystem mapping, ecological land classification, forest ecology, forest site classification, Quebec.


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

Forests ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. 473 ◽  
Author(s):  
Pablo Quichimbo ◽  
Leticia Jiménez ◽  
Darío Veintimilla ◽  
Alexander Tischer ◽  
Sven Günter ◽  
...  

1992 ◽  
Vol 68 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Ian G. W. Corns

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.


1992 ◽  
Vol 68 (1) ◽  
pp. 34-41 ◽  
Author(s):  
Colin Bowling ◽  
Vincent Zelazny

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.


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 ◽  
...  

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.


1992 ◽  
Vol 68 (1) ◽  
pp. 64-77 ◽  
Author(s):  
R. A. Sims ◽  
P. Uhlig

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.


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