{"title":"结合威布尔分布和k近邻插补方法预测东北林区的墙到墙树列表","authors":"Y. Fu, Hong S. He, Shaoqiang Wang, Lunche Wang","doi":"10.1186/s13595-022-01161-9","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":7994,"journal":{"name":"Annals of Forest Science","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China\",\"authors\":\"Y. Fu, Hong S. He, Shaoqiang Wang, Lunche Wang\",\"doi\":\"10.1186/s13595-022-01161-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":7994,\"journal\":{\"name\":\"Annals of Forest Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Forest Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1186/s13595-022-01161-9\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Forest Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1186/s13595-022-01161-9","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China
期刊介绍:
Annals of Forest Science is an official publication of the French National Institute for Agriculture, Food and Environment (INRAE)
-Up-to-date coverage of current developments and trends in forest research and forestry
Topics include ecology and ecophysiology, genetics and improvement, tree physiology, wood quality, and silviculture
-Formerly known as Annales des Sciences Forestières
-Biology of trees and associated organisms (symbionts, pathogens, pests)
-Forest dynamics and ecosystem processes under environmental or management drivers (ecology, genetics)
-Risks and disturbances affecting forest ecosystems (biology, ecology, economics)
-Forestry wood chain (tree breeding, forest management and productivity, ecosystem services, silviculture and plantation management)
-Wood sciences (relationships between wood structure and tree functions, and between forest management or environment and wood properties)