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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...


    map background search result map search result map Habitat Suitability Index Model for Breeding King Rail (Rallus elegans) in Rice Agriculture, in the Gulf Coast Joint Venture Region Predicted Relative Abundance of King Rail (Rallus elegans) in Emergent Marsh, Gulf Coast Joint Venture Region GCJV High Quality Brackish Marsh within 1 km of Fresh-to-Intermediate Marsh GCJV Open Water and Marsh-to-Open Water within 1 km of Fresh-to-Intermediate Marsh GCJV High Quality Brackish Marsh within 1 km of Fresh-to-Intermediate Marsh Predicted Relative Abundance of King Rail (Rallus elegans) in Emergent Marsh, Gulf Coast Joint Venture Region GCJV Open Water and Marsh-to-Open Water within 1 km of Fresh-to-Intermediate Marsh Habitat Suitability Index Model for Breeding King Rail (Rallus elegans) in Rice Agriculture, in the Gulf Coast Joint Venture Region