[Objective]The categorization of grassland types stands as a crucial step in their management and ecology,forming the foundation for their safeguarding,informed exploitation,suitable use,and intentional development.In light of simplifying the existent intricate classification scheme and adhering to the comprehensive"trinity"strategy that integrates forestry,grassland,and national parks,a revision catering to the special aspects of Xinjiang's grasslands is pivotal.This revision aims to advocate a systematic approach in the stewardship of the interconnected natural assets of"mountains,water,forests,fields,lakes,and grasslands."[Methods]Drawing upon the"Grassland Classification"industry standard issued by the Ministry of Agriculture in 2016,this study incorporates contemporary demands steering the forest-grassland union,along with ecological restoration and management.Aligning predominantly with the national and previously mentioned industrial standards,the proposed classification system harmonizes with the third national land survey's land categorization specifications.Subcategories and groupings are streamlined,while types are consolidated in accordance with the principle of minimizing dominant species'classifications.[Results]The consolidation process gave full consideration to the extent,representativeness,and distribution breadth of grassland types.Those covering a minimal area,confined to particular localities,or lacking distinctiveness were amalgamated with neighboring types or eliminated.Consequently,Xinjiang's prior system of 11 categories encompassing 687 distinct types has been refined to consist of 9 categories comprising 106 types.[Conclusion]The established natural grassland classification and corresponding resource datasets for Xinjiang were instituted over 30 years ago,without subsequent comprehensive appraisals of the region's grasslands,which may now exhibit alterations in type,composition,or range.This updated classification system boasts practicality and implementability,offering a technical foundation for refining grassland resource data and instituting digital management practices.
NETL
NSTL
维普
万方数据
