A simple method to map pollination ecosystem services potential in urban lawns

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES MethodsX Pub Date : 2024-08-31 DOI:10.1016/j.mex.2024.102943
Paulo Pereira , Marius Kalinauskas , Luis Valenca Pinto , Egle Baltranaite , Damia Barcelo , Wenwu Zhao , Miguel Inacio
{"title":"A simple method to map pollination ecosystem services potential in urban lawns","authors":"Paulo Pereira ,&nbsp;Marius Kalinauskas ,&nbsp;Luis Valenca Pinto ,&nbsp;Egle Baltranaite ,&nbsp;Damia Barcelo ,&nbsp;Wenwu Zhao ,&nbsp;Miguel Inacio","doi":"10.1016/j.mex.2024.102943","DOIUrl":null,"url":null,"abstract":"<div><p>Urban areas have detrimental impacts on the ecosystems. Nevertheless, they still supply many ecosystem services (ES), such as Pollination, in different urban green spaces (UGS). Lawns are among the most degraded UGS due to very high human impact. Still, flowers such as Dandelions (<em>Taraxacum officinalis</em>) live in these spaces. These flowers are considered a suitable habitat for pollinators. In this work, we develop a methodology to map Pollination ES potential in urban lawns using an Unmanned Aerial Vehicle. A detailed protocol was developed using high-resolution images, consisting of orthomosaic creation, flower vectorisation, field validation, and finally, Pollination ES potential mapping using Kernel and Point Density. This method can be applied to urban lawns and grasslands in Spring and Summer.</p><ul><li><span>•</span><span><p>A novel method was developed to map pollination potential in lawns.</p></span></li><li><span>•</span><span><p>Dandelions (<em>Taraxacum officinale</em>) were mapped using UAV high-resolution images.</p></span></li><li><span>•</span><span><p>The method is helpful to identify areas with pollination potential in urban lawns.</p></span></li></ul></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"13 ","pages":"Article 102943"},"PeriodicalIF":1.6000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2215016124003947/pdfft?md5=76e61e239be56b8fb1a016007a1020ca&pid=1-s2.0-S2215016124003947-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016124003947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Urban areas have detrimental impacts on the ecosystems. Nevertheless, they still supply many ecosystem services (ES), such as Pollination, in different urban green spaces (UGS). Lawns are among the most degraded UGS due to very high human impact. Still, flowers such as Dandelions (Taraxacum officinalis) live in these spaces. These flowers are considered a suitable habitat for pollinators. In this work, we develop a methodology to map Pollination ES potential in urban lawns using an Unmanned Aerial Vehicle. A detailed protocol was developed using high-resolution images, consisting of orthomosaic creation, flower vectorisation, field validation, and finally, Pollination ES potential mapping using Kernel and Point Density. This method can be applied to urban lawns and grasslands in Spring and Summer.

  • A novel method was developed to map pollination potential in lawns.

  • Dandelions (Taraxacum officinale) were mapped using UAV high-resolution images.

  • The method is helpful to identify areas with pollination potential in urban lawns.

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
绘制城市草坪授粉生态系统服务潜力图的简单方法
城市地区对生态系统有不利影响。然而,在不同的城市绿地 (UGS) 中,它们仍然提供许多生态系统服务 (ES),如授粉。由于人类的高度影响,草坪是退化最严重的 UGS 之一。尽管如此,蒲公英(Taraxacum officinalis)等花卉仍生活在这些空间中。这些花卉被认为是授粉者的理想栖息地。在这项工作中,我们开发了一种使用无人飞行器绘制城市草坪授粉 ES 潜力图的方法。我们利用高分辨率图像制定了详细的规程,包括创建正射影像图、花卉矢量化、实地验证,最后利用核密度和点密度绘制授粉ES潜力图。利用无人机高分辨率图像绘制了蒲公英(Taraxacum officinale)地图。
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
MethodsX
MethodsX Health Professions-Medical Laboratory Technology
CiteScore
3.60
自引率
5.30%
发文量
314
审稿时长
7 weeks
期刊介绍:
期刊最新文献
A method to enhance privacy preservation in cloud storage through a three-layer scheme for computational intelligence in fog computing Method for measuring the transpiration resistance of fruit and vegetables Deep learning-based classification of alfalfa varieties: A comparative study using a custom leaf image dataset Evaluative comparison of machine learning algorithms for stutter detection and classification Optimized Methyl methacrylate embedding of small and large undecalcified bones.
×
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