GIS-based modelling of landscape patterns in mountain areas using climate indices and regression analysis

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-18 DOI:10.1016/j.envsoft.2024.106160
Hristina Prodanova , Stoyan Nedkov , Galin Petrov
{"title":"GIS-based modelling of landscape patterns in mountain areas using climate indices and regression analysis","authors":"Hristina Prodanova ,&nbsp;Stoyan Nedkov ,&nbsp;Galin Petrov","doi":"10.1016/j.envsoft.2024.106160","DOIUrl":null,"url":null,"abstract":"<div><p>The approach of defining landscape patterns based on climate indices is applied in a case study area in North-Central Bulgaria. The results proved the strong interrelation between the climate indices and the elevation, enabling the implementation of a regression model. The results of the regression are used to define threshold values for delineation of all potential contours based on climate indices. The GIS modelling enables the integration of the results from different indices for the delineation of landscape contours of five potential landscape types. Four of them are validated with higher precision, proving the approach's applicability. One of the main capacities of the proposed approach is the opportunity for reconstructing climax vegetation and furthermore, the climax ecosystems that form the matrix of the potential landscapes. This can significantly contribute to assessing ecosystems and their services for restoration measures and implementing nature-based solutions.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106160"},"PeriodicalIF":4.8000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002214/pdfft?md5=91d4a21720aaeaac348062b94adfc881&pid=1-s2.0-S1364815224002214-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815224002214","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

The approach of defining landscape patterns based on climate indices is applied in a case study area in North-Central Bulgaria. The results proved the strong interrelation between the climate indices and the elevation, enabling the implementation of a regression model. The results of the regression are used to define threshold values for delineation of all potential contours based on climate indices. The GIS modelling enables the integration of the results from different indices for the delineation of landscape contours of five potential landscape types. Four of them are validated with higher precision, proving the approach's applicability. One of the main capacities of the proposed approach is the opportunity for reconstructing climax vegetation and furthermore, the climax ecosystems that form the matrix of the potential landscapes. This can significantly contribute to assessing ecosystems and their services for restoration measures and implementing nature-based solutions.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用气候指数和回归分析建立山区景观模式的地理信息系统模型
在保加利亚中北部的一个案例研究区采用了根据气候指数确定景观模式的方法。结果表明,气候指数与海拔高度之间存在密切的相互关系,因此可以采用回归模型。回归结果用于定义阈值,以便根据气候指数划定所有潜在等高线。通过地理信息系统建模,可以整合不同指数的结果,划定五种潜在景观类型的景观等高线。其中四种经过验证,精度更高,证明了该方法的适用性。拟议方法的主要功能之一是有机会重建高潮植被,以及构成潜在景观基质的高潮生态系统。这将大大有助于评估生态系统及其服务,以采取恢复措施和实施基于自然的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
期刊最新文献
Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm Taxonomy of purposes, methods, and recommendations for vulnerability analysis Canopy height Mapper: A google earth engine application for predicting global canopy heights combining GEDI with multi-source data Integrated STL-DBSCAN algorithm for online hydrological and water quality monitoring data cleaning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1