Browsing by Author "Luo Y"

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    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
    (Frontiers Media, 9/06/2022) Sun Y; Yuan Y; Luo Y; Ji W; Bian Q; Zhu Z; Wang J; Qin Y; He XZ; Li M; Yi S
    Plant 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.
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    Opening accounting: a Manifesto
    (Taylor and Francis Group on behalf of the University of South Australia, 2021-07-21) Alawattage C; Arjaliès D-L; Barrett M; Bernard J; de Castro Casa Nova SP; Cho CH; Cooper C; Denedo M; D’Astros CD; Evans R; Ejiogu A; Frieden L; Ghio A; McGuigan N; Luo Y; Pimentel E; Powell L; Pérez PAN; Quattrone P; Romi AM; Smyth S; Sopt J; Sorola M; Alawattage C; Arjaliès D-L; Barrett M; Bernard J; de Castro Casa Nova SP; Cho CH; Cooper C; Denedo M; D’Astros CD; Evans R; Ejiogu A; Frieden L; Ghio A; McGuigan N; Luo Y; Pimentel E; Powell L; Pérez PAN; Quattrone P; Romi AM; Smyth S; Sopt J; Sorola M
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    UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution
    (MDPI AG, 29/09/2023) Ji W; Luo Y; Liao Y; Wu W; Wei X; Yang Y; Shen Y; Ma Q; He X; Yi S; Sun Y
    Grazing management is one of the most widely practiced land uses globally. Quantifying the spatiotemporal distribution of livestock is critical for effective management of livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions for livestock dynamic monitor and key parameters quantification under actual grazing situations. In this study, we proposed a pragmatic method for quantifying the grazing density (GD) and herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures on the Qinghai-Tibetan Plateau, China. We found that: (1) yak herds grazing followed a rotational grazing pattern spontaneously within the pastures, (2) Dispersion Index of yak herds varied as an M-shaped curve within one day, and it was the lowest in July and August, and (3) the average distance between the yak herd and the campsites in the cold season was significantly shorter than that in the warm season. In this study, we developed a method to characterize the dynamic GD and HP of yak herds precisely and effectively. This method is ideal for studying animal behavior and determining the correlation between the distribution of pastoral livestock and resource usability, delivering critical information for the development of grassland ecosystem and the implementation of sustainable grassland management.