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3. The extent of Glacial Lake Wisconsin. To the east is the Johnstown moraine (WI-DNR, 2014).

3. The extent of Glacial Lake Wisconsin. To the east is the Johnstown moraine (WI-DNR, 2014).

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Most soils in the Central Sand Plains of Wisconsin are highly permeable, retain little water, and store low amounts of nutrients and soil organic carbon. Many of these soils are cultivated, and require irrigation for high crop yields. Common crops are potatoes, corn, and soybeans. The research was conducted on a farm in Waushara County, Wisconsin....

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... Finalmente, el Agua Total Disponible (TAW) para que la vegetación pueda subsistir, es representada por la zona entre el θfc y θwp (Allen et al., 1998). Los diferentes tipos de suelo presentan valores característicos de θfc y θwp de acuerdo a su textura (Yost, 2016). El θwp, se calculó con el análisis del periodo de estiaje que abarca la temporada de verano indicaron que este valor de θ se asocia a la etapa en la que las raíces de la vegetación no pueden extraer agua del suelo y se relaciona con el θwp. ...
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El presente trabajo de tesis se centra en el desarrollo y validación de modelos predictivos para calcular el coeficiente de vegetación (Kc) y la evapotranspiración actual (ETa) de la vegetación natural dominada por chaparral en una región semiárida Mediterránea. El estudio se realizó en la porción central de la subcuenca El Mogor, localizada en el Valle de Guadalupe en B.C., México, durante el periodo de junio 2015 a septiembre 2016. Se integraron en la metodología propuesta por la FAO-56 datos climáticos, de humedad del suelo y de percepción remota (índices de vegetación, [VI]) para realizar el cálculo los coeficientes de estrés hídrico del suelo (Ks), de transpiración de la vegetación (Kcb) y evaporación de agua del suelo (Ke) que conforman el cálculo de Kc. Posteriormente, mediante el producto de Kc y la evapotranspiración de referencia (ETo), se realizó la estimación de la ETa calculada (ETa cal). Finalmente se evaluaron estadísticamente los resultados de la ETa cal con los de la ETa medida (ETa med) por una estación Eddy Covarianza localizada a ~ 2.8 km de la zona de estudio a través del coeficiente de determinación (R2 ) producto de los modelos lineales. El método se aplicó en ambos sitios (porción central de la subcuenca El Mogor y en el sitio de la estación Eddy Covarianza). Se llevó a cabo los cálculos de ETa cal mediante dos metodologías que involucran ETo, la primera emplea la metodología propuesta por Allen et al. (1998) y la segunda sigue una estructura similar, cuya diferencia es la omisión de Ke. La segunda opción tuvo mejores resultados al evaluar el producto final (Kc * ETo), teniendo una mayor similitud con ETa med. Los resultados revelaron que el Índice de Diferencia Normalizada de Borde Rojo (NDRE) presentó fuertes correlaciones con Kc, realizando la omisión de Ke en el cálculo de Kc calculando un R2 en el rango de 0.74 – 0.96. Al evaluar el grado de asociación entre ETa cal con ETa med se observa una asociación positiva moderada a fuerte (R2 en el rango de 0.65 – 0.78) omitiendo Ke. Se podría esperar que ETa cal incluyendo Ke tendría un mejor ajuste, sin embargo, sobreestima los valores de ETa cal en un 126%, mientras que omitiendo Ke subestima los valores en un 5%. Se concluye que los modelos evaluados omitiendo Ke pueden ser válidos para calcular Kc mediante el NDRE en la zona de estudio, así como el cálculo de ETa y facilitar su aproximación. Este estudio aporta conocimientos regionales valiosos para la estimación de la ETa reduciendo el número de variables para su cálculo (NDRE y ETo). Considerando los hallazgos del presente trabajo de investigación se pueden ofrecer algunas recomendaciones de manejo como el monitoreo de la salud vegetal, conservación y restauración de ecosistemas, planificación del uso de tierra, evaluación del cambio climático, uso eficiente del agua y en general la gestión del agua. Sin embargo, es importante destacar que los resultados no reemplazan a la ETa medida en la estación Eddy Covarianza, sino que la complementan con el propósito de estimar la ETa en áreas donde no se disponga de datos.
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