Estimating Leymus chinensis Loss Caused by Oedaleus decorus asiaticus Using an Unmanned Aerial Vehicle (UAV)

Author:

Du Bobo123,Ding Xiaolong12,Ji Chao12,Lin Kejian123,Guo Jing4,Lu Longhui4,Dong Yingying4,Huang Wenjiang45ORCID,Wang Ning123

Affiliation:

1. Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China

2. Inner Mongolia Academy of Grassland Science, Hohhot 010010, China

3. North Agriculture and Livestock Husbandry Technology Innovation Center (NALHTIC), Chinese Academy of Agricultural Sciences, Hohhot 010010, China

4. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

5. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Oedaleus decorus asiaticus is one of the dominant harmful pests in central Inner Mongolia, China. Large-scale outbreaks of this pest create many serious problems in animal husbandry and agriculture. Therefore, understanding the underlying mechanisms between plant losses and Odecorus at different density levels and growth stages can guide the development of monitoring and prediction measures to reduce damage. In this study, an unmanned aerial vehicle (UAV) carrying a camera was employed to collect multi-spectral data. Further, nine vegetation indices (VIs) were analyzed to explore the most suitable indices for estimating plant loss caused by O. decorus in different growth stages. The following results were obtained: (1) The second instar nymphs of O. decorus could promote vegetation growth. As the density level in each cage increased, the biomass of each cage increased (nymph density < 30 nymphs/m2) and then decreased (nymph density ≥ 30 nymphs/m2). When nymph density was greater than 60 nymphs/m2, the biomass in those cages decreased significantly. (2) With respect to the control group, large damage began to emerge during the third instar nymphal stage. In particular, the largest vegetation loss was caused by fourth nymphal larvae. (3) The ratio vegetation index (RVI) appeared as the most excellent index for reflecting Leymus chinensis loss caused by O. decorus at different growth stages. Nevertheless, the difference vegetation index (DVI) was better than the RVI in the fifth instar nymphal stage.

Funder

Inner Mongolia Autonomous Region Science and Technology Planning Project

Central Public-interest Scientific Institution Basal Research Fund

National Key R & D Program of China

SINO- EU, Dragon 5 proposal: Application Of Sino-Eu Optical Data Into Agronomic Models To Predict Crop Performance And To Monitor And Forecast Crop Pests And Diseases

Fengyun Application Pioneering Project

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference33 articles.

1. Progress of acridology in China over the last 60 years;Kang;Acta Phytophylacica. Sin.,2022

2. Relationship between pest grasshopper densities and climate variables in the southern Pampas of Argentina;Mariottini;Bull. Entomol. Res.,2022

3. Estimating reed loss caused by Locusta migratoria manilensis using UAV-based hyperspectral data;Song;Sci. Total Environ.,2020

4. A review of historical and recent locust outbreaks: Links to global warming, food security and mitigation strategies;Peng;Environ. Res.,2020

5. Locusts and remote sensing: A review;Latchininsky;J. Appl. Remote Sens.,2013

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