Add to ORKGIn recent years there has been growing interest in uneven-aged or mixed forest stands as a result of new demands of society and of changing forestry practices. Unfortunately, due to their complexity, the dynamics of these stands are more difficult to understand than those of pure and even-aged stands. Thus, new research questions have arisen in terms of stand description, stand dynamics, and growth modelling. The first step toward better management of such mixed or uneven-aged stands is to describe them precisely — this step corresponds to a classical typological approach. As spatial structure plays a key role in the dynamics of such stands, spatial structure analysis can be used to infer certain types of information based on the biological...
The results of the research model and real data spatial distribution of trees in single-species, age...
Natural subalpine forests are considered to be sensitive to climate change, and forest characteristi...
Forest growth modelling has evolved in many ways for thirty years. Models try now to answer not only...
In recent years there has been growing interest in uneven-aged or mixed forest stands as a result of...
The structure of a forest stand is characterized by: (a) species composition, (b) age, (c) size (dia...
Spatial structure dynamics play a major role in understanding the mechanisms of forest structure and...
Uneven-aged stands show a high complexity because of the diversity of trees and of their spatial org...
In even-aged single species plantation forests, it is sometimes sufficient to analyze and predict gr...
Context A century and more after a major reforestation program, large areas in the French Southern A...
In the past 30 years, many stand structural attributes (SSAs) have been suggested and structural ind...
The research was conducted in three old−growth forests consisted of silver fir Abies alba Mill., Eur...
Forest stands are usually classified according to regime (high forest or coppice), structure (even-a...
In a forest reserve, located in the Eastern Italian Alps, a 4 ha permanent plot has been set up in a...
In order to predict the evolution of forest stands, and thus to facilitate forest management, resear...
In Europe most Norway spruce (Picea abies (L.) Karst.) mountain forests have been altered by human ...
The results of the research model and real data spatial distribution of trees in single-species, age...
Natural subalpine forests are considered to be sensitive to climate change, and forest characteristi...
Forest growth modelling has evolved in many ways for thirty years. Models try now to answer not only...
In recent years there has been growing interest in uneven-aged or mixed forest stands as a result of...
The structure of a forest stand is characterized by: (a) species composition, (b) age, (c) size (dia...
Spatial structure dynamics play a major role in understanding the mechanisms of forest structure and...
Uneven-aged stands show a high complexity because of the diversity of trees and of their spatial org...
In even-aged single species plantation forests, it is sometimes sufficient to analyze and predict gr...
Context A century and more after a major reforestation program, large areas in the French Southern A...
In the past 30 years, many stand structural attributes (SSAs) have been suggested and structural ind...
The research was conducted in three old−growth forests consisted of silver fir Abies alba Mill., Eur...
Forest stands are usually classified according to regime (high forest or coppice), structure (even-a...
In a forest reserve, located in the Eastern Italian Alps, a 4 ha permanent plot has been set up in a...
In order to predict the evolution of forest stands, and thus to facilitate forest management, resear...
In Europe most Norway spruce (Picea abies (L.) Karst.) mountain forests have been altered by human ...
The results of the research model and real data spatial distribution of trees in single-species, age...
Natural subalpine forests are considered to be sensitive to climate change, and forest characteristi...
Forest growth modelling has evolved in many ways for thirty years. Models try now to answer not only...