Recognising fuzzy vegetation pattern: the spatial prediction of floristically defined fuzzy communities using species distribution modelling methods
Author:
Affiliation:
1. Department of Forest and Ecosystem Science; Forest and Fire Ecology Group, The University of Melbourne; Creswick Vic. 3363 Australia
2. Faculty of Agriculture and Environment, University of Sydney; Eveleigh NSW 2015 Australia
Funder
Department of Sustainability and Environment
Publisher
Wiley
Subject
Plant Science,Ecology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/jvs.12092/fullpdf
Reference86 articles.
1. Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: a case study from the wet tropics of northeastern Australia;Accad;Ecological Modelling,2006
2. A new method for non-parametric multivariate analysis of variance;Anderson;Austral Ecology,2001
3. Resolving environmental disputes: a statistical method for choosing among competing cluster models;Anderson;Ecological Applications,2000
4. Radiometric analyses of beach sands from the southeast of Brazil;Anjos;AIP Conference Proceedings,2007
5. Searching for a model for use in vegetation analysis;Austin;Vegetatio,1980
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning;Environmental Monitoring and Assessment;2024-08-31
2. Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data;Computers and Electronics in Agriculture;2024-07
3. Tracking floristic archetypes of Patagonian steppes;Applied Vegetation Science;2024-01
4. Integrated Prediction of Potato Cyst Nematodes’ (Globodera rostochiensis and Globodera pallida) Potential Distribution and Risk Regions: Using China as a Case Study;2023-01-13
5. Mapping species assemblages of tropical forests at different hierarchical levels based on multivariate regression trees;Forest Ecosystems;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3