Assessment on Potential Suitable Habitats of the Grasshopper Oedaleus decorus asiaticus in North China based on MaxEnt Modeling and Remote Sensing Data

Sun, Zhongxiang; Ye, Huichun; Huang, Wenjiang; Qimuge, Erden; Bai, Huiqing; Nie, Chaojia; Lu, Lixin; Qian, Binxiang; Wu, Bo

doi:10.3390/insects14020138

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…The formation of PHRLA is a dynamic development process consisting of forming and extending suitable habitats and reproducing and aggregating locusts under the influence of climate. However, existing remote sensing-based studies in this field are largely based on static habitat conditions without considering their dynamic changes and the coupled effects of long-term climate conditions [17,[26][27][28]. This limitation hinders the timely capture of the evolution of habitats from unsuitable to suitable and the accumulation of the locust population, making it challenging to realize the early identification of PHRLA.…”

Section: Introductionmentioning

confidence: 99%

Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying Potential High-Risk Locust Areas

Zhao,

Li,

Huang

et al. 2023

Remote Sensing

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Locust plagues inflict severe agricultural damage. Climate change-induced extreme events like rainfall and droughts have expanded locust habitats. These new areas, often beyond routine monitoring, could become potential high-risk locust areas (PHRLA). Quantitatively understanding the outbreak mechanism driving drought and flood dynamics is crucial for identifying PHRLA, but such studies are scarce. To address this gap, we conducted a case study on locust outbreaks in Xiashan Reservoir, the largest reservoir in Shandong Province, China, in 2017 and 2018. Using time series satellite imagery and meteorological products, we quantitatively analyzed how drought–flood dynamics and temperature affect locust habitats, reproduction, and aggregation. Employing an object-oriented random forest classifier, we generated locust habitat classification maps with 93.77% average overall accuracy and Kappa coefficient of 0.90. Combined with meteorological analysis, we found that three consecutive drought years from 2014 to 2016 reduced the water surface area by 75%, expanding suitable habitats (primarily reeds and weeds) to cover 60% of the reservoir. Warm winters and high temperatures during locust key growth periods, coupled with expanding suitable habitats, promoted multi-generational locust reproduction. However, substantial flooding events in 2017 and 2018, driven by plentiful rainfall during key growth periods, reduced suitable habitats by approximately 54% and 29%, respectively. This compression led to high locust density, causing the locust plague and high-density spots of locusts (HDSL). Our study elucidates locust plague outbreak mechanisms under dynamic drought and flood environments. Based on this, we propose an approach to identify PHRLA by monitoring changes in drought and flood patterns around water bodies and variations in suitable habitat size and distribution, as well as surrounding topography. These findings hold significant implications for enhancing locust monitoring and early warning capabilities, reducing pesticide usage, and ensuring food and ecological security and sustainable agriculture.

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Section: Introductionmentioning

confidence: 99%

Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying Potential High-Risk Locust Areas

Zhao,

Li,

Huang

et al. 2023

Remote Sensing

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“…Figure3shows the response curve, which indicates the relationships between grasshopper suitability and key habitat factors on the Mongolian Plateau. The classification threshold of each habitat factor was determined based on the default setting of the Maxent model (suitability threshold of 0.5), the literature, and expert experience[14,62]. The suitability of each habitat factor was divided into three levels: low (<0.5), medium (0.5-0.6), and high (>0.6).…”

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confidence: 99%

Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data

Nie

et al. 2023

Insects

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O. decorus asiaticus is a major grasshopper species that harms the development of agriculture on the Mongolian Plateau. Therefore, it is important to enhance the monitoring of O. decorus asiaticus. In this study, the spatiotemporal variation in the habitat suitability for O. decorus asiaticus on the Mongolian Plateau was assessed using maximum entropy (Maxent) modeling along with multi-source remote sensing data (meteorology, vegetation, soil, and topography). The predictions of the Maxent model were accurate (AUC = 0.910). The key environmental variables affecting the distribution of grasshoppers and their contribution were grass type (51.3%), accumulated precipitation (24.9%), altitude (13.0%), vegetation coverage (6.6%), and land surface temperature (4.2%). Based on the assessment results of suitability by Maxent model, the model threshold settings, and the formula for calculating the inhabitability index, the 2000s, 2010s, and 2020s inhabitable areas were calculated. The results show that the distribution of suitable habitat for O. decorus asiaticus in 2000 was similar to that in 2010. From 2010 to 2020, the suitability of the habitat for O. decorus asiaticus in the central region of the Mongolian Plateau changed from moderate to high. The main factor contributing to this change was accumulated precipitation. Few changes in the areas of the habitat with low suitability were observed across the study period. The results of this study enhance our understanding of the vulnerability of different regions on the Mongolian Plateau to plagues of O. decorus asiaticus and will aid the monitoring of grasshopper plagues in this region.

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Ecologo-geographic modelling of distribution of abundant acridid species (Orthoptera, Acrididae) over South Siberia and adjacent regions

Sergeev,

Molodtsov,

Baturina

et al. 2024

Èntomologičeskoe obozrenie

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Two abundant acridid species (Chorthippus apricarius and Locusta migratoria) are widely distributed over South Siberia. Estimations of suitability conditions on the basis of the MaxEnt algorithm well correspond to the known localities of each species for the contemporary period. The main bioclimatic variables explaining these species distribution are associated with temperatures, especially those of the cold season. Predicted distribution patterns for 2021–2040 and 2041–2060 and for the scenarios of the high levels of the greenhouse gas emission show serious significant differences between the two model species. These forecasts demonstrate the explicit worsening of conditions for Chorthippus apricarius in South Siberia, and the significant expansion of territories applicable for Locusta migratoria in the southern parts of West Siberia and in Northern Kazakhstan. This trend looks like enhancing in the second half of the 21st century. The optimal areas for the migratory locust may cover the huge territories between 50° and 62° N and between the Ural Mts. and the north-western parts of the Altai-Sayan Mts. where a new area of possible outbreaks of L. migratoria may emerge. In the adjacent regions, the areas with suitable conditions for this species can expand significantly as well, including Primorskii Territory. Hence, the general continuation of global warming will most likely lead to some significant shifts in the distribution of some possible acridid pests across South Siberia.

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Assessment on Potential Suitable Habitats of the Grasshopper Oedaleus decorus asiaticus in North China based on MaxEnt Modeling and Remote Sensing Data

Cited by 5 publications

References 30 publications

Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying Potential High-Risk Locust Areas

Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying Potential High-Risk Locust Areas

Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data

Ecologo-geographic modelling of distribution of abundant acridid species (Orthoptera, Acrididae) over South Siberia and adjacent regions

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