{"id":43897,"date":"2024-04-19T01:41:02","date_gmt":"2024-04-18T19:56:02","guid":{"rendered":"https:\/\/microbenotes.com\/?p=43897"},"modified":"2024-04-19T01:41:04","modified_gmt":"2024-04-18T19:56:04","slug":"forest-biometrics","status":"publish","type":"post","link":"https:\/\/microbenotes.com\/forest-biometrics\/","title":{"rendered":"Forest Biometrics: Definition, Tools, Methods, Uses"},"content":{"rendered":"\n

Forest biometrics as the name suggests consists of two words forest and biometrics. <\/p>\n\n\n\n

A forest is defined as a patch of land of more than 0.5 hectares, covered by above 5 meters height of trees with canopy cover greater than 10 percent. Biometrics can be understood by breaking down as bio; relating to biology; and metric, relating to measurement.<\/p>\n\n\n\n

\"Forest
Forest Biometrics<\/figcaption><\/figure>\n\n\n\n

Therefore, biometrics is the biological measurement and forest biometrics are measurements applied in the field of forestry. As the saying goes \u201cwhatever that cannot be measured, cannot be managed\u201d, therefore estimating the forest resources is important for managing the forest.<\/strong><\/p>\n\n\n\n

Forest biometry is the application of statistical measures to assess, estimate, and evaluate the biological characteristics and processes of forests.<\/strong> <\/p>\n\n\n\n

This incorporates forest inventory, growth and yield modeling, statistical analysis, use of LiDAR (Light Detection and Ranging), and GIS (Geographic Information System) as well. This helps in quantitative analysis of forest resources tree stands, diseases, biodiversity, ecosystem services, wildlife, etc., and serves as a guide for forest management and decision making which is important to understand the value and for growing a sustainable forest.\u00a0<\/p>\n\n\n\n

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