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Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data > Birds, Bats, Insects, Amphibians > Monarch Butterflies ( Show direct descendants )

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_ScienceBase Catalog
__Upper Midwest Environmental Sciences Center (UMESC)
___Upper Midwest Environmental Sciences Center Data
____Birds, Bats, Insects, Amphibians
_____Monarch Butterflies
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This R code conducts the main changepoint analyses described in the manuscript titled “Evidence for a growing population of eastern migratory monarch butterflies is currently insufficient”, authored by W. E. Thogmartin, J. A. Szymanski, and E. L. Weiser. The code calculates step and segmented changepoints, checks model assumptions for fitted models, calculates the probability of a >=6.05 ha population given a mean expected population of 3.2 ha, calculates the number of additional years required to provide for a statistically significant trend in the event that the current data are not significant, and calculates the probability of continued increase.
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The sampling locations provided here were selected as a two-stage Generalized Random Tessellation Stratified (GRTS) sample (Stevens & Olsen 2004). The first stage of the GRTS draw used a master sample developed by the North American Bat Monitoring Program (Loeb et al. 2015) from a 10 x 10 km grid placed over the conterminous U.S., Canada, and Mexico. Each 10 x 10 km grid cell (hereafter, master cell) was assigned a GRTS rank by NABat. The rank represents the priority order in which master cells should ideally be sampled. For the second stage of the draw, sampling points within a master cell were selected. Each point was defined as a 30 x 30 m cell of the GIS raster that defined monarch-relevant habitat. Sampling...
These scripts prepare input files and run a Generalized Random Tessellation Stratified (GRTS) draw to select sampling locations for the Integrated Monarch Monitoring Program in the U.S., Canada, and Mexico.
These scripts perform power analyses for milkweed, monarch eggs, and adult monarchs. Milkweed and eggs are simulated together; adults are simulated separately. Scripts test for either 1) power to detect trends or 2) power to detect differences among land-use sectors in density-when-present, as indicated in the file names. For demonstration purposes, each script runs only a small subset of scenarios and replicates, which finishes in a few minutes; the full set would take days to run unless performed in parallel on a supercomputer. Weiser_MMPower_Code0_PowerAnalysis_functions.r provides source code for functions that are used in the other scripts; scripts 1-4 are independent of one another.
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The sampling locations provided here were selected as a two-stage Generalized Random Tessellation Stratified (GRTS) sample (Stevens & Olsen 2004). The first stage of the GRTS draw used a master sample developed by the North American Bat Monitoring Program (Loeb et al. 2015) from a 10 x 10 km grid placed over the conterminous U.S., Canada, and Mexico. Each 10 x 10 km grid cell (hereafter, master cell) was assigned a GRTS rank by NABat. The rank represents the priority order in which master cells should ideally be sampled. For the second stage of the draw, sampling points within a master cell were selected. Each point was defined as a 30 x 30 m cell of the GIS raster that defined monarch-relevant habitat. Sampling...
    map background search result map search result map Priority sampling locations for the Integrated Monarch Monitoring Program Priority sampling locations in the U.S., Canada, and Mexico for the Integrated Monarch Monitoring Program Priority sampling locations for the Integrated Monarch Monitoring Program Priority sampling locations in the U.S., Canada, and Mexico for the Integrated Monarch Monitoring Program