13 research outputs found
Locusts and grasshoppers: behavior, ecology, and biogeography
Presentación del número especial de la revista sobre langostas y saltamontes.Facultad de Ciencias Naturales y Muse
Locusts and grasshoppers: behavior, ecology, and biogeography
Presentación del número especial de la revista sobre langostas y saltamontes.Facultad de Ciencias Naturales y Muse
Remote Sensing and Locusts: The 21st Century Science vs. The Biblical Enemy of Agriculturists
https://commons.und.edu/ss-colloquium/1048/thumbnail.jp
Mapping and Monitoring Locust Habitats in the Aral Sea Region based on Satellite Earth Observation Data
Efficacy of Two Entomopathogenic Fungi, <i>Metarhizium brunneum</i>, Strain F52 Alone and Combined with <i>Paranosema locustae</i> against the Migratory Grasshopper, <i>Melanoplus sanguinipes</i>, under Laboratory and Greenhouse Conditions
Grasshopper outbreaks cause significant damage to crops and grasslands in US. Chemical control is widely used to suppress these pests but it reduces environmental quality. Biological control of insect pests is an alternative way to reduce the use of chemical insecticides. In this context, two entomopathogenic fungi, Metarhizium brunneum strain F52 and Paranosema locustae were evaluated as control agents for the pest migratory grasshopper Melanoplus sanguinipes under laboratory and greenhouse conditions. Third-instar grasshoppers, reared in the laboratory, were exposed up to fourteen days to wheat bran treated with different concentrations of each of the fungi alone or the two pathogens combined. In the greenhouse, nymphs were placed individually in cages where they were able to increase their body temperatures by basking in the sun in an attempt to inhibit the fungal infection, and treated with each pathogen alone or in combination. Mortality was recorded daily and presence of fungal outgrowth in cadavers was confirmed by recording fungal mycosis for two weeks’ post-treatment (PT). For combination treatment, the nature of the pathogen interaction (synergistic, additive, or antagonistic effects) was also determined. In laboratory conditions, all treatments except P. locustae alone resulted in grasshopper mortality. The application of the pathogen combinations caused 75% and 77%, mortality for lower and higher concentrations, respectively than each of the pathogens alone. We infer a synergistic effect occurred between the two agents. In greenhouse conditions, the highest mortalities were recorded in combination fungal treatments with a M. brunneum dose (60% mortality) and with a combination of the two pathogens in which M. brunneum was applied at high rate (50%) two weeks after application. This latter combination also exhibited a synergistic effect. Exposure to the P. locustae treatment did not lead to mortality until day 14 PT. We infer that these pathogens are promising for developing a biopesticide formulation for rangeland pest grasshopper management
Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index
"The Asian Migratory locust (Locusta migratoria migratoria L.) is a pest that continuously threatens crops
in the Amudarya River delta near the Aral Sea in Uzbekistan, Central Asia. Its development coincides with
the growing period of its main food plant, a tall reed grass (Phragmites australis), which represents the
predominant vegetation in the delta and which cover vast areas of the former Aral Sea, which is
desiccating since the 1960s. Current locust survey methods and control practices would tremendously
benefit from accurate and timely spatially explicit information on the potential locust habitat distribution.
To that aim, satellite observation from the MODIS Terra/Aqua satellites and in-situ observations
were combined to monitor potential locust habitats according to their corresponding risk of infestations
along the growing season. A Random Forest (RF) algorithm was applied for classifying time series of
MODIS enhanced vegetation index (EVI) from 2003 to 2014 at an 8-day interval. Based on an independent
ground truth data set, classification accuracies of reeds posing a medium or high risk of locust
infestation exceeded 89% on average. For the 12-year period covered in this study, an average of
7504 km2 (28% of the observed area) was flagged as potential locust habitat and 5% represents a permanent
high risk of locust infestation. Results are instrumental for predicting potential locust outbreaks
and developing well-targeted management plans. The method offers positive perspectives for locust
management and treatment of infested sites because it is able to deliver risk maps in near real time, with
an accuracy of 80% in April-May which coincides with both locust hatching and the first control surveys.
Such maps could help in rapid decision-making regarding control interventions against the initial locust
congregations, and thus the efficiency of survey teams and the chemical treatments could be increased,
thus potentially reducing environmental pollution while avoiding areas where treatments are most likely
to cause environmental degradation.