7 research outputs found

    Unraveling the effects of management and climate on carbon fluxes of U.S. croplands using the USDA Long-Term Agroecosystem (LTAR) network

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    Understanding the carbon fluxes and dynamics from a broad range of agricultural systems has the potential to improve our ability to increase carbon sequestration while maintaining crop yields. Short-term, single-location studies have limited applicability, but long-term data from a network of many locations can provide a broader understanding across gradients of climate and management choices. Here we examine eddy covariance measured carbon dioxide (CO2) fluxes from cropland sites across the United States Department of Agriculture’s Long-Term Agroecosystem Research (LTAR) network. The dataset was collected between 2001 and 2020, spanning 13 sites for a total of 182 site-years. Average seasonal patterns of net ecosystem CO2 exchange (NEE), gross primary productivity (GPP), and ecosystem respiration (Reco) were determined, and subsequent regression analysis on these “flux climatologies” was used to identify relationships to mean annual temperature (MAT), mean annual precipitation (MAP), cropping systems, and management practices. At rainfed sites, carbon fluxes were better correlated with MAP (r2 ≤ 0.5) than MAT (r2 ≤ 0.22). Net carbon balance was different among cropping systems (p \u3c 0.001), with the greatest net carbon uptake occurring in sugarcane (Saccharum spp. hybrids) and the least in soybean (Glycine max) fields. Crop type had a greater effect on carbon balance than irrigation management at a Nebraska site. Across cropping systems, grain crops often had higher GPP and were more likely to have net uptake when compared to legume crops. This multi-site analysis highlights the potential of the LTAR network to further carbon flux research using eddy covariance measurements

    Calibración in situ del sensor cosmos para determinar humedad del suelo en escalas intermedias (~1 km)

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    La heterogeneidad del suelo influye ampliamente en el contenido de humedad, dificultando la precisa determinación de este parámetro en estudios con fines hidrológicos y ecológicos que requieren de mediciones continuas y representativas para escalas intermedias (~1 km). En este contexto un sensor de neutrón de rayo cósmico The COsmic-ray Soil Moisture Observing System (COSMOS) permite cuantificar humedad del suelo de manera continua y a escalas espaciales de cientos de metros. El objetivo de este estudio fue evaluar un esquema de calibración para un sensor COSMOS CRS-1000. El estudio se realizó en una sabana de zacate buffel (Pennisetum ciliare) en Rayón Sonora, México. En este sitio se instaló el COSMOS CRS-1000 y para su calibración se realizaron muestreos de suelo en dos etapas. A estas muestras se les determinó el contenido de humedad y su densidad aparente por técnicas gravimétricas. Con el contenido de humedad de estas muestras, expresado en términos volumétricos, se obtuvo por aproximación el parámetro de calibración para el COSMOS CRS-1000. El valor obtenido para este parámetro fue de 4121 conteos por hora (tasa de conteo del neutrón sobre suelo). Con este valor se realizó la corrección a los valores estimados originalmente por el sensor COSMOS CRS-1000. Al realizar esta corrección, se observó un incremento en el contenido de humedad del suelo de 1 a 2 % con respecto a los valores estimados con el COSMOS CRS-1000 en todo el periodo de análisis. A pesar de la variabilidad espacial en el contenido de humedad del suelo bajo estudio, se observó que el sensor COSMOS CRS-1000 tiene la capacidad de proveer estimaciones razonables del contenido de la humedad del suelo de manera continua a una profundidad de 0 a 40 cm, en una superficie de alrededor de 30 ha

    Long‐term research catchments to investigate shrub encroachment in the Sonoran and Chihuahuan deserts: Santa Rita and Jornada experimental ranges

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    Woody plant encroachment is a global phenomenon whereby shrubs or trees replace grasses. The hydrological consequences of this ecological shift are of broad interest in ecohydrology, yet little is known of how plant and intercanopy patch dynamics, distributions, and connectivity influence catchment-scale responses. To address this gap, we established research catchments in the Sonoran and Chihuahuan Deserts (near Green Valley, Arizona and near Las Cruces, New Mexico, respectively) that represent shrub encroachment in contrasting arid climates. Our main goals in the coordinated observations were to: (a) independently measure the components of the catchment water balance, (b) deploy sensors to quantify the spatial patterns of ecohydrological processes, (c) use novel methods for characterizing catchment properties, and (d) assess shrub encroachment impacts on ecohydrological processes through modelling studies. Datasets on meteorological variables; energy, radiation, and CO2 fluxes; evapotranspiration; soil moisture and temperature; and runoff at various scales now extend to nearly 10 years of observations at each site, including both wet and dry periods. Here, we provide a brief overview of data collection efforts and offer suggestions for how the coordinated datasets can be exploited for ecohydrological inferences and modelling studies. Given the representative nature of the catchments, the available databases can be used to generalize findings to other catchments in desert landscapes. © 2021 John Wiley & Sons LtdNational Science Foundation12 month embargo; first published online 2 January 2021This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]
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