An improved method for monitoring multiscale plant species diversity of alpine grassland using UAVs: A case study in the source region of the Yellow River, China

Simple item page
dc.citation.volume13
dc.contributor.authorSun Y
dc.contributor.authorYuan Y
dc.contributor.authorLuo Y
dc.contributor.authorJi W
dc.contributor.authorBian Q
dc.contributor.authorZhu Z
dc.contributor.authorWang J
dc.contributor.authorQin Y
dc.contributor.authorHe XZ
dc.contributor.authorLi M
dc.contributor.authorYi S
dc.coverage.spatialSwitzerland
dc.date.available2022
dc.date.available2022-05-09
dc.date.issued9/06/2022
dc.description.abstractPlant species diversity (PSD) is essential in evaluating the function and developing the management and conservation strategies of grassland. However, over a large region, an efficient and high precision method to monitor multiscale PSD (α-, β-, and γ-diversity) is lacking. In this study, we proposed and improved an unmanned aerial vehicle (UAV)-based PSD monitoring method (UAVB) and tested the feasibility, and meanwhile, explored the potential relationship between multiscale PSD and precipitation on the alpine grassland of the source region of the Yellow River (SRYR), China. Our findings showed that: (1) UAVB was more representative (larger monitoring areas and more species identified with higher α- and γ-diversity) than the traditional ground-based monitoring method, though a few specific species (small in size) were difficult to identify; (2) UAVB is suitable for monitoring the multiscale PSD over a large region (the SRYR in this study), and the improvement by weighing the dominance of species improved the precision of α-diversity (higher R 2 and lower P values of the linear regressions); and (3) the species diversity indices (α- and β-diversity) increased first and then they tended to be stable with the increase of precipitation in SRYR. These findings conclude that UAVB is suitable for monitoring multiscale PSD of an alpine grassland community over a large region, which will be useful for revealing the relationship of diversity-function, and helpful for conservation and sustainable management of the alpine grassland.
dc.description.publication-statusPublished online
dc.format.extent905715 - ?
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/35755669
dc.identifier.citationFront Plant Sci, 2022, 13 pp. 905715 - ?
dc.identifier.doi10.3389/fpls.2022.905715
dc.identifier.elements-id453706
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1664-462X
dc.identifier.urihttps://hdl.handle.net/10179/17253
dc.languageeng
dc.publisherFrontiers Media
dc.relation.isPartOfFront Plant Sci
dc.subjectFragMAP
dc.subjectdiversity monitoring
dc.subjectmultiscale diversity
dc.subjectspecies diversity
dc.subjectunmanned aerial vehicle
dc.subject.anzsrc0607 Plant Biology
dc.titleAn improved method for monitoring multiscale plant species diversity of alpine grassland using UAVs: A case study in the source region of the Yellow River, China
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Agriculture & Environment
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2022. An improved method for monitoring multiscale plant species diversity of alpine grassland using UAVs.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles