The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 12, 2024
Filed:
May. 13, 2022
Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the P.r.c., Nanjing, CN;
Fei He, Nanjing, CN;
Weixin Li, Nanjing, CN;
Jie Ma, Nanjing, CN;
Han Qiu, Nanjing, CN;
Zhuang Liu, Nanjing, CN;
Yufeng Xie, Nanjing, CN;
Jian Li, Nanjing, CN;
Xuhan Zhang, Nanjing, CN;
Jianhui Liu, Nanjing, CN;
Chao Fu, Nanjing, CN;
Abstract
The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem. The beneficial effects of the invention are as follows: a new method for classifying vegetation areas in coastal ecosystems by using dominant species is proposed, which reduces the difficulty of sampling and simplifies sampling steps; proposes a boundary division method for water body communication and carbon source calculation The method effectively fills the gap of the carbon source survey method in the estuary area; the proposed specific carbon source calculation method for tall shrubs and trees greatly reduces the difficulty and workload of the survey.