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Abiy, A. Z., & Melesse, A. M. (2017). Evaluation of watershed scale changes in groundwater and soil moisture storage with the application of GRACE satellite imagery data. Catena, 153, 50–60.
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Alba, C., NeSmith, J. E., Fahey, C., Angelini, C., & Flory, S. L. (2017). Methods to test the interactive effects of drought and plant invasion on ecosystem structure and function using complementary common garden and field experiments. Ecol Evol, 7(5), 1442–1452.
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Cocke, S., Boisserie, M., & Shin, D. - W. (2013). A coupled soil moisture initialization scheme for the FSU/COAPS climate model. Inverse Problems in Science and Engineering, 21(3), 420–437.
Abstract: We developed a coupled soil initialization scheme for the Florida State University/Center for Ocean-Atmosphere Prediction Studies (FSU/COAPS) climate model, which is coupled to the Community Land Model version 2. This method indirectly initializes the land surface component of the climate model by assimilating precipitation in the atmospheric component. A continuous assimilation is performed while the land and atmosphere components exchange fluxes, thus keeping the coupled model in a physically consistent state, obviating the need for any correction. Comparison with in situ observations in Illinois and Oklahoma shows very good agreement with the initialized soil moisture profile. A global comparison of the initialized land surface model with the Global Soil Wetness Project 2 multi-model analysis also shows very good agreement. Short-term climate forecasts (2 weeks to 2 months), performed in conjunction with the Global Land Atmosphere Coupling Experiment, Part 2, show that initialized soil moisture conditions improve surface temperature forecasts.
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Erb, V., Lolavar, A., & Wyneken, J. (2019). The Role of Sand Moisture in Shaping Loggerhead Sea Turtle (Caretta Caretta) Neonate Growth in Southeast Florida. Chelonian Conservation and Biology, 17(2), 245–251.
Abstract: Many environmental variables that affect incubating turtle eggs in the nest may also affect hatchling development, following hatchling emergence. However, these effects may be subtle and are largely unexamined. In this study, we analyzed the effect of sand moisture content during incubation on the postemergence growth rates of loggerhead sea turtles (Caretta caretta) in southeastern Florida. We divided 10 clutches in halves, reburied them, and exposed them to 1 of 2 treatments. At emergence, 7 clutches met minimum criteria for inclusion in the study. One halfclutch received only ambient rainfall ("dry" treatment) while the other half-clutch received ambient rainfall plus daily watering ("wet" treatment). Data loggers were used to record incubation temperatures in both groups. Hatchlings were captured at emergence and laboratoryreared over a period of similar to 3 mo. Mass, straight carapace length (SCL), and straight carapace width (SCW) were measured weekly to track growth. Initial measurements were larger for turtles from the wet nests in all metrics. Turtles from wet nests grew more in SCW than turtles from dry nests. Turtle growth from the 2 treatments did not differ in SCL or mass measurements. Larger initial sizes and faster SCW growth may enable the turtles to more quickly achieve a refuge size from their gape-limited predators. Moisture availability during nesting season is projected to decrease based on climate change models. If that change materializes, it could negatively affect hatchling sizes and neonate growth rates, survival, and hence the recovery of this imperiled species.
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He, W., Yang, J. Y., Drury, C. F., Smith, W. N., Grant, B. B., He, P., et al. (2018). Estimating the impacts of climate change on crop yields and N 2 O emissions for conventional and no-tillage in Southwestern Ontario, Canada. Agricultural Systems, 159, 187–198.
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Jiang, B., Su, H., Liu, K., & Chen, S. (2020). Assessment of Remotely Sensed and Modelled Soil Moisture Data Products in the U.S. Southern Great Plains. Remote Sensing, 12(12).
Abstract: Soil moisture (SM) plays a crucial role in the water and energy flux exchange between the atmosphere and the land surface. Remote sensing and modeling are two main approaches to obtain SM over a large-scale area. However, there is a big difference between them due to algorithm, spatial-temporal resolution, observation depth and measurement uncertainties. In this study, an assessment of the comparison of two state-of-the-art remotely sensed SM products, Soil Moisture Active Passive (SMAP) and European Space Agency Climate Change Initiative (ESACCI), and one land surface modeled dataset from the North American Land Data Assimilation System project phase 2 (NLDAS-2), were conducted using 17 permanent SM observation sites located in the Southern Great Plains (SGP) in the U.S. We first compared the daily mean SM of three products with in-situ measurements; then, we decompose the raw time series into a short-term seasonal part and anomaly by using a moving smooth window (35 days). In addition, we calculate the daily spatial difference between three products based on in-situ data and assess their temporal evolution. The results demonstrate that (1) in terms of temporal correlation R, the SMAP (R = 0.78) outperforms ESACCI (R = 0.62) and NLDAS-2 (R = 0.72) overall; (2) for the seasonal component, the correlation R of SMAP still outperforms the other two products, and the correlation R of ESACCI and NLDAS-2 have not improved like the SMAP; as for anomaly, there is no difference between the remotely sensed and modeling data, which implies the potential for the satellite products to capture the variations of short-term rainfall events; (3) the distribution pattern of spatial bias is different between the three products. For NLDAS-2, it is strongly dependent on precipitation; meanwhile, the spatial distribution of bias represents less correlation with the precipitation for two remotely sensed products, especially for the SMAP. Overall, the SMAP was superior to the other two products, especially when the SM was of low value. The difference between the remotely sensed and modeling products with respect to the vegetation type might be an important reason for the errors.
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Klemas, V., Finkl, C. W., & Kabbara, N. (2014). Remote Sensing of Soil Moisture: An Overview in Relation to Coastal Soils. Journal of Coastal Research, 296, 685–696.
Abstract: Soil moisture plays an important role in the exchange of water and heat energy between the land and atmosphere and is used in studies of global climate change. Soil moisture data are also required for reservoir management, early warning of droughts, irrigation scheduling, and crop yield forecasting. Coastal soils in general span the gamut of soil properties necessary for agriculture and maintaining natural environments, including transitional wetlands. Beach characteristics, such as soil moisture, grain size and type, are needed for determining substrate-bearing strength, modeling beach erosion, and planning beach nourishment. Because microwave radiation from soil is strongly dependent on moisture content, soil moisture has traditionally been mapped with airborne microwave radiometers. Innovative antenna technology has enabled microwave radiometers on satellites, such as Soil Moisture and Ocean Salinity and Aqua, to measure soil moisture on a global scale. Better corrections for surface roughness, vegetation cover, soil temperature, and topography must still be devised, and techniques for sensing soil moisture beyond the top few centimeters developed.
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Liu, L., Wang, X., Lajeunesse, M. J., Miao, G., Piao, S., Wan, S., et al. (2016). A cross-biome synthesis of soil respiration and its determinants under simulated precipitation changes. Glob Change Biol, 22(4), 1394–1405.
Abstract: Soil respiration (R-s) is the second-largest terrestrial carbon (C) flux. Although R-s has been extensively studied across a broad range of biomes, there is surprisingly little consensus on how the spatiotemporal patterns of R-s will be altered in a warming climate with changing precipitation regimes. Here, we present a global synthesis R-s data from studies that have manipulated precipitation in the field by collating studies from 113 increased precipitation treatments, 91 decreased precipitation treatments, and 14 prolonged drought treatments. Our meta-analysis indicated that when the increased precipitation treatments were normalized to 28% above the ambient level, the soil moisture, R-s,R- and the temperature sensitivity (Q(10)) values increased by an average of 17%, 16%, and 6%, respectively, and the soil temperature decreased by -1.3%. The greatest increases in R-s and Q(10) were observed in arid areas, and the stimulation rates decreased with increases in climate humidity. When the decreased precipitation treatments were normalized to 28% below the ambient level, the soil moisture and R-s values decreased by an average of -14% and -17%, respectively, and the soil temperature and Q(10) values were not altered. The reductions in soil moisture tended to be greater in more humid areas. Prolonged drought without alterations in the amount of precipitation reduced the soil moisture and R-s by -12% and -6%, respectively, but did not alter Q(10). Overall, our synthesis suggests that soil moisture and R-s tend to be more sensitive to increased precipitation in more arid areas and more responsive to decreased precipitation in more humid areas. The responses of R-s and Q(10) were predominantly driven by precipitation-induced changes in the soil moisture, whereas changes in the soil temperature had limited impacts. Finally, our synthesis of prolonged drought experiments also emphasizes the importance of the timing and frequency of precipitation events on ecosystem C cycles. Given these findings, we urge future studies to focus on manipulating the frequency, intensity, and seasonality of precipitation with an aim to improving our ability to predict and model feedback between R-s and climate change.
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Lolavar, A., & Wyneken, J. (2017). Experimental assessment of the effects of moisture on loggerhead sea turtle hatchling sex ratios. Zoology, 123, 64–70.
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Matyas, C. (2017). Comparing the Spatial Patterns of Rainfall and Atmospheric Moisture among Tropical Cyclones Having a Track Similar to Hurricane Irene (2011). Atmosphere, 8(9), 165.
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Nicholson, S. E. (2015). Evolution and current state of our understanding of the role played in the climate system by land surface processes in semi-arid regions. Global and Planetary Change, 133, 201–222.
Abstract: The role of the land surface in climate and weather has been a major research focus since the 1970s. Since that time our understanding of the issue has greatly changed and many new themes in several disciplines are being considered. This article summarizes the changes in our understanding that have taken place in research on this topic and reviews principally papers that have appeared in the last two decades. Several other papers provide comprehensive reviews of literature that appeared prior to that time. The major changes that have occurred include 1) more sophisticated and rigorous analysis of desertification, 2) increased emphasis on hydrological processes, including the role of groundwater, 3) use of multi-model ensembles and regional models, 4) the emergence of the domain of ecohydrology, with emphasis on detailed feedbacks between water availability and vegetation, 5) examination of the hypothesis that vegetation feedback can produce abrupt climate change, 6) emphasis on the impacts on convective or synoptic-scale systems, and 7) consideration of the impact of aerosols, including the Saharan Air Layer. With the exception of desertification, each of these topics is reviewed.
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Sifuentes-Romero, I., Tezak, B. M., Milton, S. L., & Wyneken, J. (2017). Hydric environmental effects on turtle development and sex ratio. Zoology, .
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Wang, D. (2012). Evaluating interannual water storage changes at watersheds in Illinois based on long-term soil moisture and groundwater level data: INTERANNUAL WATER STORAGE CHANGES. Water Resour. Res., 48(3), n/a-n/a.
Abstract: The annual water storage changes at 12 watersheds in Illinois are estimated based on the long-term soil moisture and groundwater level observations during 1981–2003. Storage change is usually ignored in mean annual and interannual water balance calculations. However, the interannual variability of storage change can be an important component in annual water balance during dry or wet years. Annual precipitation anomaly is partitioned into annual runoff anomaly, annual evaporation anomaly, and annual storage change. The estimated annual storage change ratios vary from −60% to 40% at the study watersheds. The interannual variability of evaporation is not strongly correlated with the interannual variability of precipitation, but is correlated with the interannual variations of effective precipitation. As a response to the interannual variability of precipitation, the interannual variation of evaporation is smaller than those of runoff and storage change. The effect of annual water storage change increases the correlation coefficients between annual evaporation ratio and climate dryness index. Therefore, interannual water storage changes need to be included in the estimation of evaporation and total water supply in the Budyko framework. Effective precipitation can be used as a substitute for precipitation when computing evaporation ratio and climate dryness index.
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