Publications

(2019). Prioritizing land for investments based on short- and long-term land potential and degradation risk: A strategic approach. In: Environmental Science and Policy, (96), February, pp. 52–58, https://doi.org/10.1016/j.envsci.2019.03.001.

(2019). Digital mapping of ecological land units using a nationally scalable modeling framework. In: Soil Science Society of America Journal, (83), 3, pp. 666–686, https://doi.org/10.2136/sssaj2018.09.0346.

PDF Code Project DOI

(2018). Applying fingerprint Fourier transformed infrared spectroscopy and chemometrics to assess soil ecosystem disturbance and recovery. In: Journal of Soil and Water Conservation, (73), 4, pp. 443–451, https://doi.org/10.2489/jswc.73.4.443.

(2017). Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability. In: Geoderma, (285), pp. 94–109, https://doi.org/10.1016/j.geoderma.2016.09.024.

(2017). Capturing spatial variability of biogeochemical mass exchanges and reaction rates in wetland water and soil through model compartmentalization. In: Journal of Hydrologic Engineering, (22), 1, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001196.

(2017). Breaks in MODIS time series portend vegetation change: Verification using long-term data in an arid grassland ecosystem: Verification. In: Ecological Applications, (27), 5, pp. 1677–1693, https://doi.org/10.1002/eap.1561.

(2017). A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites. In: PLoS ONE, (12), 4, https://doi.org/10.1371/journal.pone.0175201.

(2016). Uncoupling the complexity of forest soil variation: Influence of terrain indices, spectral indices, and spatial variability. In: Forest Ecology and Management, (369), pp. 89–101, https://doi.org/10.1016/j.foreco.2016.03.018.

(2016). Effect of spatial image support in detecting long-term vegetation change from satellite time-series. In: Landscape Ecology, (31), 9, pp. 2045–2062, https://doi.org/10.1007/s10980-016-0381-y.

(2015). Fate of nitrate in seepage from a restored wetland receiving agricultural tailwater. In: Ecological Engineering, (81), pp. 207–217, https://doi.org/10.1016/j.ecoleng.2015.04.003.

(2014). Scale-dependency of LiDAR derived terrain attributes in quantitative soil-landscape modeling: Effects of grid resolution vs. neighborhood extent. In: Geoderma, (230-231), pp. 29–40, https://doi.org/10.1016/j.geoderma.2014.03.021.

(2014). Autochthonous and allochthonous carbon cycling in a eutrophic flow-through wetland. In: Wetlands, (34), 2, pp. 285–296, https://doi.org/10.1007/s13157-013-0474-1.

(2012). Quantifying spatial variability and biogeochemical controls of ecosystem metabolism in a eutrophic flow-through wetland. In: Ecological Engineering, (47), pp. 221–236, https://doi.org/10.1016/j.ecoleng.2012.06.032.

(2011). Sulfide induced mobilization of wetland phosphorus depends strongly on redox and iron geochemistry. In: Soil Science Society of America Journal, (75), 5, pp. 1986–1999, https://doi.org/10.2136/sssaj2011.0031.

(2011). Soil carbon cycling and sequestration in a seasonally saturated wetland receiving agricultural runoff. In: Biogeosciences, (8), 11, pp. 3391–3406, https://doi.org/10.5194/bg-8-3391-2011.

(2010). Mitigating nonpoint source pollution in agriculture with constructed and restored wetlands. In: Advances in Agronomy, pp. 1–76.

(2009). Spatial relationships of phosphorus sorption in a seasonally saturated constructed wetland soil. In: Soil Science Society of America Journal, (73), 5, pp. 1741–1753, https://doi.org/10.2136/sssaj2008.0244.

(2009). Bioavailability and fate of phosphorus in constructed wetlands receiving agricultural runoff in the San Joaquin Valley, California. In: Journal of Environmental Quality, (38), 1, pp. 360–372, https://doi.org/10.2134/jeq2008.0088.

(2007). Efficacy of constructed wetlands to mitigate non-point source pollution from irrigation tailwaters in the San Joaquin Valley, California, USA. In: Water Science and Technology, pp. 55–61.