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2010 Landsat TM satellite imagery was analyzed to develop the KIRA predicted relative abundance model. Three parameters were used in the model : (1) mean open water (MOW) at a 180 m scale, (2) mean spring normalized difference vegetation index (NVDI) at a 180 m scale, and (3) coefficient of variation (CV) of spring modified normailized difference water index (MNDWI) at a 1 km scale. Model output was divided into 5 quantiles for display purposes and to aid interpretation. King Rail inhabit marshes in the fresh-to-intermediate salinity range. Using the KIRA predicted relative abundance modeled parameters, the GCJV identified areas of brackish marsh that exhibited high quality vegetative structure within 1 km (approximate...
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Coastal Change Analysis Program data was analyzed to detect change in palustrine marsh to open water between 2006 and 2010. The results of that anlysis were used in conjuction with a water layer created by GCJV staff to delineate areas of open water present within 1 km of existing fresh-to-intermediate marsh (KIRA habitat). Layer depicts areas where palustrine marsh converted to open water from 2006 - 2010 as well as other pre-existing open water areas, all within 1 km (putative KIRA home range) of existing fresh-to-intermediate marsh habitat, as delineated by Enwright et al. (2015).
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2010 Landsat TM satellite imagery was analyzed to develop the KIRA predicted relative abundance model. Three parameters were used in the model : (1) mean open water (MOW) at a 180 m scale, (2) mean spring normalized difference vegetation index (NVDI) at a 180 m scale, and (3) coefficient of variation (CV) of spring modified normailized difference water index (MNDWI) at a 1 km scale. Model output was divided into 5 quantiles for display purposes and to aid interpretation. Model output is displayed in 5 quantiles, with 1 depicting low predicted relative abundance and 5 high.
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We used a combination of remotely sensed habitat characteristics, previously determined by other investigators for predicting King Rail nesting propensity in rice, to create a habitat suitability index (HSI) for the major rice growing regions in coastal Texas and Louisiana. The HSI combines estimates of the maximum extent of rice agriculture at a 5 kilometer (km) scale, proportion of tree canopy at a 1 km scale, and ditch density at a 1 km scale. This HSI can be used to identify priority areas for maintaining, increasing, and enhancing rice agriculture in the King Rail’s range in coastal Texas and Louisiana, as well as a tool to rank proposals for conservation incentives available through the Farm Bill, or other...
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