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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0122070
论文题名:	Using Lidar Data to Analyse Sinkhole Characteristics Relevant for Understory Vegetation under Forest Cover—Case Study of a High Karst Area in the Dinaric Mountains
作者:	Milan Kobal; Irena Bertoncelj; Francesco Pirotti; Igor Dakskobler; Lado Kutnar
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-3-20
卷:	10, 期:3
语种:	英语
英文关键词:	Forests ; Lidar ; Species diversity ; Karst features ; Plants ; Forest ecology ; Morphometry ; Vascular plants
英文摘要:	In this article, we investigate the potential for detection and characterization of sinkholes under dense forest cover by using airborne laser scanning data. Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing. The main objectives of this study were to map and determine the geomorphometric characteristics of a large number of sinkholes and to investigate the correlations between geomorphology and vegetation in areas with such characteristics. The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes. The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area. Furthermore, significant differences in vegetation diversity and composition occur inside and outside the sinkholes, which indicates their presence has important ecological impacts.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0122070&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/21387
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0122070.PDF（1787KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia;National Institute of Biology, Department of Freshwater and Terrestrial Ecosystems Research, Ljubljana, Slovenia;University of Padova, Interdepartmental Research Center in Geomatics, Department of Land, Environment, Agriculture and Forestry, Padova, Italy;Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia;Research Centre of the Slovenian Academy of Sciences and Arts, Jovan Hadži Institute of Biology, Ljubljana, Slovenia;Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia

Recommended Citation:

Milan Kobal,Irena Bertoncelj,Francesco Pirotti,et al. Using Lidar Data to Analyse Sinkhole Characteristics Relevant for Understory Vegetation under Forest Cover—Case Study of a High Karst Area in the Dinaric Mountains[J]. PLOS ONE,2015-01-01,10(3)

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