A behavior-predictive model based on thermoregulatory behavior of the desert locust in Africa

Country
Mauritania

Description

There is an urgent need to develop better forecasting capacities so we can anticipate how species of economic importance will respond to environmental change. Pest insects are one of the most economically important groups of species requiring forecasting capacity. Any efforts to predict environmental constraints on the behavior, distribution, and abundance of terrestrial ectotherms such as insects must adequately capture how environment and behavior interact to determine body temperature, because virtually all biological processes are temperature-dependent. This is a significant challenge due to the complex, nonlinear responses of heat exchange between organisms and their microclimates, but it is possible to compute such responses from first principles using techniques in biophysical ecology.
The desert locust, Schistocerca gregaria, is one of the world’s most destructive pest insects. Sometimes, desert locust populations grow explosively, forming swarms and causing locust plagues. A plague can affect up to 20% of the earth’s surface across Africa, the Middle East, and Southwest Asia. Desert locusts can potentially damage the livelihoods of a tenth of the world's population. The preventive approach seeks to monitor and spray locust breeding areas. However, this is difficult in practice as many of the principal breeding zones are located in remote areas and are difficult to reach. We have been studying the locust and are developing efficient and sustainable control measures with due consideration to environmental well-being. For example, we have found that gregarious nymphs actively migrate during the day (Fig. 1), while they remain on relatively large plants during night under fluctuating thermal conditions. If we can understand these behavioral patterns and thermoregulatory behaviors, we can develop a predictive model. To obtain these ecological information and to develop a predictive model, we have taken temperature data on desert locusts doing different activities and their circumstances in the Mauritanian fields.
Using a thermal infrared camera in the field, we showed that gregarious nymphs altered their microhabitats as well as their postural thermoregulatory behaviors to maintain a relatively high body temperature (nearly 40°C) (Figs. 1 & 2). We used our data (Table 1) to successfully parameterize a general biophysical model of thermoregulatory behavior that could capture hourly body temperature and activity at our remote site using globally available environmental forcing data (Fig. 3). 
This modelling approach provides a stronger basis for forecasting thermal constraints on locust outbreaks under current and future climates. Our technique may prove especially useful if it contributes toward developing forecasting capacity and preventive control, both short-term in response to weather events and long-term in response to climate change.

Figure, table

  1. Fig. 1. Behaviors of gregarious nymphs of the desert locust

    a: marching as a group, b: stilting behavior, and c: basking in the cool morning. Photo d shows thermal image of the basking locusts.

     

  2. Table 1. Parameters used in the model for the desert locust hoppers

    Description Value
    lethal maximum body temperature 50℃
    lethal minimum body temperature 1℃
    thermoregulation target body temperature 40℃
    maximum foraging body temperature 43℃
    minimum foraging body temperature 25℃
    minimum basking temperature 15℃
    minimum temperature for movement to basking site 15℃

     

  3. Fig. 2. Relationships between background temperature and locust body temperature when locusts displayed various behaviors such as roosting on plants at night, group basking, cooling-down, and foraging

     

  4.  Fig. 3. Confusion matrix of the observed vs. predicted behaviors of hoppers with the ectotherm-microclimate model

     

Affiliation

Japan International Research Center for Agricultural Sciences Crop, Livestock and Environment Division

Classification

Research

Research project
Program name

Stable Agricultural Production

Term of research

FY2020(FY2016~FY2020)

Responsible researcher

Maeno Kotaro ( Crop, Livestock and Environment Division )

KAKEN Researcher No.: 70600112
MIERUKA ID: 3484

Piou Cyril ( CIRAD )

Kearney Michel R ( The University of Melbourne )

Ould Mohamed Sid'Ahmed ( Centre National de Lutte Antiacridienne )

ほか
Publication, etc.

Maeno KO et al. (2021) Ecological Applications
https://doi.org/10.1002/eap.2310

Japanese PDF

2020_B09_A4_ja.pdf634.78 KB

2020_B09_A3_ja.pdf537.47 KB

English PDF

2020_B09_A4_en.pdf486.39 KB

2020_B09_A3_en.pdf487.17 KB

Poster PDF

2020_B09_poster.pdf353.78 KB

* Affiliation at the time of implementation of the study.

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