Site-specific Approaches to Cotton Insect Control. Sampling and Remote Sensing Analysis Techniques |
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| Authors: | Email author" target="_blank">J?L?WillersEmail author J?N?Jenkins W?L?Ladner P?D?Gerard D?L?Boykin K?B?Hood P?L?McKibben S?A?Samson M?M?Bethel |
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| Institution: | (1) Genetics and Precision Agriculture Research Unit, USDA ARS, Mississippi State, MS, USA;(2) Experimental Statistics Unit, Mississippi State, MS, USA;(3) Statistics Unit, USDA ARS, Stoneville, MS, USA;(4) Perthshire Farms, Gunnison, MS, USA;(5) McKibben Ag Services, LLC, Mathiston, MS, USA;(6) Extension GIS and GeoResources Institute, Mississippi State, MS, USA;(7) Stennis Space Center, ITD Spectral Visions, MS, USA |
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| Abstract: | When insect population density varies within the same cotton field, estimation of abundance is difficult. Multiple population
densities of the same species occur because cotton fields (due to edaphic and environmental effects) are apportioned into
various habitats that are colonized at different rates. These various habitats differ temporally in their spatial distributions,
exhibiting varying patterns of interspersion, shape and size. Therefore, when sampling multiple population densities without
considering the influence of habitat structure, the estimated population mean represents a summary of diverse population distributions
having different means and variances. This single estimate of mean abundance can lead to pest management decisions that are
incorrect because it may over- or under-estimate pest density in different areas of the field. Delineation of habitat classes
is essential in order to make local control decisions. Within large commercial cotton fields, it is too laborious for observers
on the ground to map habitat boundaries, but remote sensing can efficiently create geo-referenced, stratified maps of cotton
field habitats. By employing these maps, a simple random sampling design and larger sample unit sizes, it is possible to estimate
pest abundance in each habitat without large numbers of samples. Estimates of pest abundance by habitat, when supplemented
with ecological precepts and consultant/producer experience, provide the basis for spatial approaches to pest control. Using
small sample sizes, the integrated sampling methodology maps the spatial abundance of a cotton insect pest across several
large cotton fields. |
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| Keywords: | sampling probability models remote sensing cotton insect management |
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