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The sum of relative density, relative frequency, and relative dominance.
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In forest ecology, the important value is a comprehensive quantitative indicator used to study the position of a species in a community and its use. It takes into account relative density, relative frequency, and relative dominance. Important values are calculated as follows:
1.For trees, the importance value = (relative density + relative frequency + relative significance) 3.
Wherein, the relative density is equal to the ratio of the density of a certain plant to the total density of all plants, the relative frequency is equal to the ratio of the frequency of a certain plant to the sum of the frequencies of all species, and the relative significance is equal to the ratio of the individual chest area of the species in the quadrat to the sum of the chest area of all individuals in the quadrat.
2.For shrubs, the important value = (relative density + relative frequency + relative coverage) 3.
Wherein, the relative density is equal to the ratio of the density of a certain plant to the total density of all plants, the relative frequency is equal to the ratio of the frequency of a certain plant to the sum of the frequencies of all species, and the relative coverage is equal to the ratio of the coverage of a certain plant to the sum of the coverage of all species.
Please note that the above calculation methods are for reference only and actual calculations may vary depending on the needs of the study and site conditions. When calculating important values, it is also necessary to pay attention to accurately measuring the state quantity and recording relevant data to ensure the accuracy and reliability of the calculation results.
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The important value is a comprehensive quantitative index to study the status and role of a species in the community, which is the sum of relative density, relative frequency, and relative dominance of the first stupid. The values are generally between 0 and 300, and are expressed as a composite value for the relative importance of plant species in the community.
The importance value is equal to the sum of relative abundance plus relative frequency plus relative significance divided by 3.
The relative frequency is equal to the frequency of the species divided by the sum of the frequencies of all species multiplied by 100 percent.
Relative significance was equal to the chest area of the individual in the quadrat and divided by the chest area of all individuals in the quadrat.
The relative abundance is equal to the percentage of the abundance of a species in the community to the sum of the abundance of the species in the community.
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The study of ecology has long been in the qualitative description stage. Static descriptions of community structure, typology and geographical distribution were adopted. The succession changes of communities, such as the establishment, development, maturation and disappearance of communities, and the ways of accelerating, delaying or changing natural succession, are dynamically described. Since the 60s of the 20th century, the study of forest ecology has not only relied on traditional biology, physics, chemistry and other methods and their latest achievements, but also with the knowledge of meteorology and hydrology, systems engineering and electronic computers.
The application of sensitive measurement instruments, such as self-recording infrared gas analyzers, self-recording spectrophotometers, oxygen bombs or calorimeters, and radioisotopes, also provides better conditions for quantitative research. The application of forestry remote sensing technology has brought about new development in the study of forest ecology. In recent years, the theories and methods of ecological interface system have been put forward to directly explore the movement law of ecosystems from the nature, structure, function and role of the interface layer existing between organisms and the environment, and have changed the traditional concepts and research methods of ecology on the causal relationship between organisms and the environment.
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