A PRELIMINARY STUDY ON EVALUATING BENEFIT INDEX SYSTEM OF NON-COMMERCIAL FOREST
Weizhong Li
Abstract
Weizhong Li
Abstract
Construction of non-commercial forest is the important and a part of contents to construct eco-environment.How to evaluate the benefits of non-commercial forest and set up a set of evaluation index system with scientific,rational and operational characters become a question that need to study and resolve urgently.The literatures on forest benefits estimation at home and abroad were reviewed.The sustainable development evaluationg index systems were also analyzed in this paper.Based on the structures and functions of non-commercial forest,a frame of non-commercial forest benefit evaluating index system was established by using freauency analysis,theory analysis and expert consultative methods.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Construction of non-commercial forest is the important and a part of contents to construct eco-environment.How to evaluate the benefits of non-commercial forest and set up a set of evaluation index system with scientific,rational and operational characters become a question that need to study and resolve urgently.The literatures on forest benefits estimation at home and abroad were reviewed.The sustainable development evaluationg index systems were also analyzed in this paper.Based on the structures and functions of non-commercial forest,a frame of non-commercial forest benefit evaluating index system was established by using freauency analysis,theory analysis and expert consultative methods.
Key concepts: Index (typography), Computer science, Frame (networking), Set (abstract data type), Construct (python library), Environmental resource management, Operations research, Environmental science