Hybrid Models Of Forest Production
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Hybrid Models Of Forest Production
Hybrid models of forest production, sometimes abbreviated to ''hybrid models'', combine growth and yield modelling with physiological modelling.Valentine, H.T., and Mäkelä, A.M. 2005. Bridging process-based and empirical approaches to modeling tree growth. Tree Physiology 25, 769-779 See also * FORECAST * Law of Maximum References External links * A fremodelto register existing models from the IEFC. Forest growth models list Forest modelling {{Forestry-stub ...
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Growth And Yield Modelling
Growth and yield modelling is a branch of financial management. This method of modelling is also known as the Gordon constant growth model. In this method the cost of equity share capital is found by determining the sum of yield percentage and growth percentage.. References External links collobative tool to register existing models for forestry Forest modelling {{forestry-stub ...
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Euan Mason
Euan G. Mason (born c.1953) is a Professor at the School of Forestry in the University of Canterbury in Christchurch, New Zealand. Biography Mason was born in Invercargill, New Zealand but raised in Lower Hutt and Geneva before moving on to New Jersey. His hobbies include astronomy, music, computer programming and football. Mason completed a PhD at the University of Canterbury in 1992. His main research areas include silviculture Silviculture is the practice of controlling the growth, composition/structure, as well as quality of forests to meet values and needs, specifically timber production. The name comes from the Latin ('forest') and ('growing'). The study of forests ..., growth and yield modelling, hybrid models of forest production, hybrid modelling and decision-support (applied artificial intelligence). He is skilled in the field of dendrology, the identification of tree species. He was editor of the ''New Zealand Journal of Forestry'' from 2006. Selected works * * ...
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Canadian Journal Of Forest Research
The ''Canadian Journal of Forest Research'' is a peer-reviewed scientific journal published by Canadian Science Publishing. It covers research related to forest resource management, including forest biology, biometry, conservation, economics, genetics, human dimensions, management, operations, protection, policy, remote sensing, soils, silviculture, wildlife and wood science. The journal publishes articles, reviews, notes, and commentaries. The journal was established in 1971 and published quarterly till 1982. From 1983 till 1986 it was published bimonthly. Between 1987 and December 2024, it was published monthly. Since January 2025, it is published continiously. The editors-in-chief are Lisa Venier, Nelson Thiffault and Jari Vauhkonen. The ''Canadian Journal of Forest Research'' was selected as one of the DBIO 100, the 100 most influential journals in biology and medicine over the last 100 years as voted by the BioMedical & Life Sciences Division of the Special Libraries Assoc ...
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Forest Ecology And Management
''Forest Ecology and Management'' is a semimonthly peer-reviewed scientific journal covering forest ecology Forest ecology is the scientific study of the interrelated patterns, processes, flora, fauna, funga, and ecosystems in forests. The management of forests is known as forestry, silviculture, and forest management. A forest ecosystem is a natural wo ... and the management of forest resources. The journal publishes research manuscripts that report results of original research, review articles, and book reviews. Forestry-related topics are covered that apply biological and social knowledge to address problems encountered in forest management and conservation. See also * List of forestry journals References External links * {{DEFAULTSORT:Forest Ecology And Management Forestry journals Elsevier academic journals Semi-monthly journals Academic journals established in 1977 English-language journals ...
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Tree Physiology
In botany, a tree is a perennial plant with an elongated stem, or trunk, usually supporting branches and leaves. In some usages, the definition of a tree may be narrower, e.g., including only woody plants with secondary growth, only plants that are usable as lumber, or only plants above a specified height. But wider definitions include taller palms, tree ferns, bananas, and bamboos. Trees are not a monophyletic taxonomic group but consist of a wide variety of plant species that have independently evolved a trunk and branches as a way to tower above other plants to compete for sunlight. The majority of tree species are angiosperms or hardwoods; of the rest, many are gymnosperms or softwoods. Trees tend to be long-lived, some trees reaching several thousand years old. Trees evolved around 400 million years ago, and it is estimated that there are around three trillion mature trees in the world currently. A tree typically has many secondary branches supported clear of t ...
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FORECAST (model)
FORECAST is a management-oriented, stand-level, forest-growth and ecosystem-dynamics model. The model was designed to accommodate a wide variety of silvicultural and harvesting systems and natural disturbance events (e.g., fire, wind, insect epidemics) in order to compare and contrast their effect on forest productivity, stand dynamics, and a series of biophysical indicators of non-timber values. Model description Projection of stand growth and ecosystem dynamics is based upon a representation of the rates of key ecological processes regulating the availability of, and competition for, light and nutrient resources (a representation of moisture effects on soil processes, plant physiology and growth, and the consequences of moisture competition is being added). The rates of these processes are calculated from a combination of historical bioassay data (such as biomass accumulation in plant components and changes in stand density over time) and measures of certain ecosystem variable ...
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Law Of Maximum
The Law of Maximum also known as Law of the Maximum is a principle developed by Arthur Wallace which states that total growth of a crop or a plant is proportional to about 70 growth factors. Growth will not be greater than the aggregate values of the growth factors. Without the correction of the limiting growth factors, nutrients, waters and other inputs are not fully or judicially used resulting in wasted resources. Applications The factors range from 0 for no growth to 1 for maximum growth. Actual growth is calculated by the total multiplication of each growth factor. For example, if three factors had a value of 0.5, the actual growth would be: : 0.5 × 0.5 × 0.5 = 0.125, which is 12.5% of optimum. If each of the three factors had a value of 0.9 the actual growth would be: : 0.9 × 0.9 × 0.9 = 0.729, which is 72.9% of optimum. Hence the need to achieve maximal value for each factor is critical in order to obtain maximal growth. Demonstrations of "Law of the Maximum ...
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