![]() ![]() ![]() The Second plot combines all environmental variables and occurnace data taken from ebird plot(data_predict) The first plot shows how each environmental layer is now properly cropped within NYS plot(stack_1) plot(ebird_data)Įach layer (plot) is now able to stack onto each other, as shown below: stack_1= stack(land_coverny,elevation_coverny2,tree_coverny2, precip_coverny2)%>% Let’s now check and see how each layer plots, including the ebird data. # values : 643.24, 1809.52 (min, max) elevation_coverny2 # class : RasterLayer # names : PRISM_ppt_stable_4kmM3_2020_asc # values : 0, 100 (min, max) precip_coverny2 # class : RasterLayer # values : 0, 16 (min, max) tree_coverny2 # class : RasterLayer # crs : +proj=longlat +datum=WGS84 +no_defs Let’s relook at all of the environmental layers and make sure they match: land_coverny # class : RasterLayer Tree_coverny2 = crop(tree_coverny2, extent_1)Įlevation_coverny2 = crop(elevation_coverny2, extent_1) Precip_cover = crop(precip_cover, extent_1) Precip_coverny2 = projectRaster(precip_cover, to=land_coverny,method="ngb") Tree_coverny2 = projectRaster(tree_coverny, to=land_coverny,method="ngb")Īs(st_transform(ny_counties,st_crs(elevation_cover)), "Spatial"))#%>%Įlevation_coverny2 = projectRaster(elevation_coverny,to=land_coverny, method = "ngb")Īs(st_transform(ny_counties,st_crs(precip_cover)), "Spatial"))#%>% ![]() Land_coverny= crop(land_cover, as(ny_counties, "Spatial"))Īs(st_transform(ny_counties,st_crs(tree_cover)), "Spatial"))#%>% During the month of May their breeding and nesting behaviors peak. The month of May was chosen based on wild eastern Turkeys breeding and nesting times. I selected the temporal period of May, 2020. The last environmental variable, precipitation was taken from the PRISM Climate Group from Oregon State University. Like the Land cover and elevation data the tree cover canopy data was chosen from a grid style map with a spatial resolution of 1 arc-second per pixel, approximately 30 m per pixel. A median was taken from the annual tree canopy cover values from the years 2009-2011. The global tree cover data is obtained from per pixel estimates of the 2010 percent maximum (peak growing season) tree canopy cover which comes from cloud-free annual growing season composite Land set 7 ETM + data. The next environmental variable that was chosen for this project was Tree canopy cover from the Global Land Analysis & Discovery. For this project I was able to select a grid tile that included NY. The data for elevation was completed in 1996 and was developed over a three year period. ![]() The USGS separated the data into tiles on a world map which can be selected by individual tile. Specifically, the data is a global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer) from several raster and vector sources of information. Two of the environmental variables that were used, landcover and elevation were taken from the U.S. If the results of this study come back to support this hypothesis then there is room for continued research into habitat suitability within NYS for wild turkey populations.įor this project it was important to highlight the key environmental variables that effect wild turkey populations within New York State. By looking at these environmental variables the aim of this project is to see if areas with less suitable environmental variables correlate to areas of lower population levels. Within NYS, many individuals have noticed seeing less wild turkeys than in years past and changing habitat factors in localized areas may be one factor effecting population levels. The aim of this project is to research, gather and compare data that involves understanding and explaining how land cover, tree canopy cover, elevation and precipitation can effect wild turkey population levels. The results of this study have not been published at this time. The NYSDEC had also partnered with the National Wild Turkey Federation and SUNY Environmental Science and Forestry college in 2010 to research the impact of weather patterns and hunting zones on turkey populations. In the early 1950s, the Department of Conservation (NYSDEC) helped restore and repopulate NYS wild turkey populations. New York State’s (NYS) wild turkey population constitutes a significant part of conservation concerns and support for the hunting community within NYS. ![]()
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