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Publications Citing Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2

The following 286 publications cited the product Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2.

Year Citation
2024 Berkeley, L.I., M. Szczypinski, S.P. Coons, V.J. Dreitz, and J.A. Gude. 2024. Greater sage?grouse chick mortality risk relative to livestock grazing management, environmental factors, and morphometric measurements. The Journal of Wildlife Management. 88(5). https://doi.org/10.1002/jwmg.22596
2024 Bhat, S.A., S.A.A. Qadri, V. Dubbey, I.B. Sofi, and N. Huang. 2024. Impact of crop management practices on maize yield: Insights from farming in tropical regions and predictive modeling using machine learning. Journal of Agriculture and Food Research. 18:101392. https://doi.org/10.1016/j.jafr.2024.101392
2024 Isaak, D.J., D.L. Horan, and S.P. Wollrab. 2024. Air temperature data source affects inference from statistical stream temperature models in mountainous terrain. Journal of Hydrology X. 22:100172. https://doi.org/10.1016/j.hydroa.2024.100172
2024 Morrison, M., J.M. Cohen, E. Gurarie, and T.R. Van Deelen. 2024. Environmental drivers and fitness consequences of partial migration under climate change. Journal of Fish and Wildlife Management. https://doi.org/10.3996/JFWM-23-015
2023 Bondo, K.J., D. Montecino?Latorre, L. Williams, M. Helwig, K. Duren, M.L. Hutchinson, and W.D. Walter. 2023. Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximations. Ecosphere. 14(1). https://doi.org/10.1002/ecs2.4346
2023 Choi, H.M. and M.L. Bell. 2023. Heat-mortality relationship in North Carolina: Comparison using different exposure methods. Journal of Exposure Science & Environmental Epidemiology. https://doi.org/10.1038/s41370-023-00544-y
2023 Cowdery, T.K., A.C. Baker, M.J. Haserodt, D.T. Feinstein, and R.J. Hunt. 2023. Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota. Scientific Investigations Report. https://doi.org/10.3133/sir20225124
2023 Dickman, L.T., A.K. Jonko, R.R. Linn, I. Altintas, A.L. Atchley, A. Bär, A.D. Collins, J. Dupuy, M.R. Gallagher, J.K. Hiers, C.M. Hoffman, S.M. Hood, M.D. Hurteau, W.M. Jolly, A. Josephson, E.L. Loudermilk, W. Ma, S.T. Michaletz, R.H. Nolan, J.J. O'Brien, R.A. Parsons, R. Partelli?Feltrin, F. Pimont, V. Resco de Dios, J. Restaino, Z.J. Robbins, K.A. Sartor, E. Schultz?Fellenz, S.P. Serbin, S. Sevanto, J.K. Shuman, C.H. Sieg, N.S. Skowronski, D.R. Weise, M. Wright, C. Xu, M. Yebra, and N. Younes. 2023. Integrating plant physiology into simulation of fire behavior and effects. New Phytologist. 238(3):952-970. https://doi.org/10.1111/nph.18770
2023 Elia, L., S. Castellaro, A. Dahal, and L. Lombardo. 2023. Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example. Science of The Total Environment. 898:165289. https://doi.org/10.1016/j.scitotenv.2023.165289
2023 Hu, L., E.I. Nikolopoulos, F. Marra, and E.N. Anagnostou. 2023. Toward an improved estimation of flood frequency statistics from simulated flows. Journal of Flood Risk Management. https://doi.org/10.1111/jfr3.12891
2023 Jahangir, M.S., J. You, and J. Quilty. 2023. A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting. Journal of Hydrology. 619:129269. https://doi.org/10.1016/j.jhydrol.2023.129269
2023 Papacharalampous, G., H. Tyralis, Y. Markonis, and M. Hanel. 2023. Hydroclimatic time series features at multiple time scales. Journal of Hydrology. 618:129160. https://doi.org/10.1016/j.jhydrol.2023.129160
2023 Requena-Mullor, J.M., J. Brandt, M.A. Williamson, and T.T. Caughlin. 2023. Human population growth and accessibility from cities shape rangeland condition in the American West. Landscape and Urban Planning. 232:104673. https://doi.org/10.1016/j.landurbplan.2022.104673
2023 Sadeghi Tabas, S., N. Humaira, S. Samadi, and N. Hubig. 2023. FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. Environmental Modelling & Software. 170:105854. https://doi.org/10.1016/j.envsoft.2023.105854
2023 Valness, C.M., W.J. Libby, and J. Berrill. 2023. Assisted Migration of Sequoiadendron Genotypes for Conservation and Timber: Performance and Morphology in a Warmer Climate Outside of Their Range. Conservation. 3(4):543-568. https://doi.org/10.3390/conservation3040035
2022 Bhat, R., R. Joshi, & V. Arya. 2022. Crop Production Prediction Models in Indian Agriculture: Possibilities and Challenges. Indian Journal of Ecology. 49(3):1005-1010. https://doi.org/10.55362/IJE/2022/3628
2022 Finkelstein, J.S., J. Monti, J.P. Masterson, and D.A. Walter. 2022. Application of a soil-water-balance model to estimate annual groundwater recharge for Long Island, New York, 1900–2019. Scientific Investigations Report. https://doi.org/10.3133/sir20215143
2022 Himanshu, S.K., S. Ale, P.B. DeLaune, J. Singh, S.A. Mauget, and E.M. Barnes. 2022. Assessing the Effects of a Winter Wheat Cover Crop on Soil Water Use, Cotton Yield, and Soil Organic Carbon in No-Till Cotton Production Systems. Journal of the ASABE. 65(5):1163-1177. https://doi.org/10.13031/ja.15181
2022 Kim, C. 2022. Bayesian additive regression trees in spatial data analysis with sparse observations. Journal of Statistical Computation and Simulation. 92(15):3275-3300. https://doi.org/10.1080/00949655.2022.2102633
2022 Liu, J., K. Ren, T. Ming, J. Qu, W. Guo, and H. Li. 2022. Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA. Acta Geophysica. 71(2):905-925. https://doi.org/10.1007/s11600-022-00928-y
2022 Malison, R.L., B.K. Hand, E. Winter, J.J. Giersch, S.J. Amish, D. Whited, J.A. Stanford, and G. Luikart. 2022. Landscape Connectivity and Genetic Structure in a Mainstem and a Tributary Stonefly (Plecoptera) Species Using a Novel Reference Genome. Journal of Heredity. 113(4):453-471. https://doi.org/10.1093/jhered/esac025
2022 Mandrini, G., S.V. Archontoulis, C.M. Pittelkow, T. Mieno, and N.F. Martin. 2022. Simulated dataset of corn response to nitrogen over thousands of fields and multiple years in Illinois. Data in Brief. 40:107753. https://doi.org/10.1016/j.dib.2021.107753
2022 Pflug, J.M., S.A. Margulis, and J.D. Lundquist. 2022. Inferring watershed?scale mean snowfall magnitude and distribution using multidecadal snow reanalysis patterns and snow pillow observations. Hydrological Processes. 36(6). https://doi.org/10.1002/hyp.14581
2022 Pilliod, D.S., R.M. McCaffery, R.S. Arkle, R.D. Scherer, J.B. Cupples, L.A. Eby, B.R. Hossack, H. Lingo, K.N. Lohr, B.A. Maxell, M.J. McGuire, C. Mellison, M.K. Meyer, J.C. Munger, T. Slatauski, and R. Van Horne. 2022. Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog. Ecological Indicators. 136:108648. https://doi.org/10.1016/j.ecolind.2022.108648
2022 T, M., K. Makkithaya, and N.V. G. 2022. A Federated Learning-Based Crop Yield Prediction for Agricultural Production Risk Management. 2022 IEEE Delhi Section Conference (DELCON). https://doi.org/10.1109/DELCON54057.2022.9752836
2022 Xu, Z., S. Molins, I. Özgen?Xian, D. Dwivedi, D. Svyatsky, J.D. Moulton, and C. Steefel. 2022. Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface?Subsurface Flow and Reactive Transport Modeling. Water Resources Research. 58(8). https://doi.org/10.1029/2022WR032075
2022 Yin, H., F. Wang, X. Zhang, Y. Zhang, J. Chen, R. Xia, and J. Jin. 2022. Rainfall-runoff modeling using long short-term memory based step-sequence framework. Journal of Hydrology. 610:127901. https://doi.org/10.1016/j.jhydrol.2022.127901
2022 Yin, H., Z. Guo, X. Zhang, J. Chen, and Y. Zhang. 2022. RR-Former: Rainfall-runoff modeling based on Transformer. Journal of Hydrology. 609:127781. https://doi.org/10.1016/j.jhydrol.2022.127781
2021 Afroz, M., R. Li, G. Chen, and A. Anandhi. 2021. Agricultural Greenhouse Gas Emissions in a Data-Scarce Region Using a Scenario-Based Modeling Approach: A Case Study in Southeastern USA. Agronomy. 11(7):1323. https://doi.org/10.3390/agronomy11071323
2021 Ceradini, J., D. Keinath, I. Abernethy, M. Andersen, and Z. Wallace. 2021. Crossing boundaries in conservation: land ownership and habitat influence the occupancy of an at-risk small mammal. Ecosphere. 12(1): https://doi.org/10.1002/ecs2.3324
2021 Choi, H.M., C. Chen, J.Y. Son, and M.L. Bell. 2021. Temperature-mortality relationship in North Carolina, USA: Regional and urban-rural differences. Science of The Total Environment. 787:147672. https://doi.org/10.1016/j.scitotenv.2021.147672
2021 Dinkins, J.B., K.J. Lawson, and J.L. Beck. 2021. Influence of environmental change, harvest exposure, and human disturbance on population trends of greater sage-grouse. PLOS ONE. 16(9):e0257198. https://doi.org/10.1371/journal.pone.0257198
2021 Holthuijzen, M.F., B. Beckage, P.J. Clemins, D. Higdon, and J.M. Winter. 2021. Constructing High-Resolution, Bias-Corrected Climate Products: A Comparison of Methods. Journal of Applied Meteorology and Climatology. 60(4):455-475. https://doi.org/10.1175/JAMC-D-20-0252.1
2021 Humaira, N., S.S. Tabas, S. Samadi, and N.C. Hubig. 2021. FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. 757-767. https://doi.org/10.1109/BigData52589.2021.9672019
2021 Jesmer, B.R., M.J. Kauffman, A.B. Courtemanch, S. Kilpatrick, T. Thomas, J. Yost, K.L. Monteith, and J.R. Goheen. 2021. Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis. Ecological Applications. https://doi.org/10.1002/eap.2299
2021 Mandrini, G., C.M. Pittelkow, S.V. Archontoulis, T. Mieno, and N.F. Martin. 2021. Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling. Agricultural Systems. 194:103275. https://doi.org/10.1016/j.agsy.2021.103275
2021 Mandrini, G., D.S. Bullock, and N.F. Martin. 2021. Modeling the economic and environmental effects of corn nitrogen management strategies in Illinois. Field Crops Research. 261:108000. https://doi.org/10.1016/j.fcr.2020.108000
2021 Mitchell, C., D. Friend, L. Phillips, E. Hunter, J. Lovich, M. Agha, S. Puffer, K. Cummings, P. Medica, T. Esque, K. Nussear, and K. Shoemaker. 2021. 'Unscrambling' the drivers of egg production in Agassiz's desert tortoise: climate and individual attributes predict reproductive output. Endangered Species Research. 44:217-230. https://doi.org/10.3354/esr01103
2021 Qu, J., K. Ren, and X. Shi. 2021. Binary Grey Wolf Optimization-Regularized Extreme Learning Machine Wrapper Coupled with the Boruta Algorithm for Monthly Streamflow Forecasting. Water Resources Management. 35(3):1029-1045. https://doi.org/10.1007/s11269-021-02770-1
2021 Robbins, Z.J., C. Xu, B.H. Aukema, P.C. Buotte, R. Chitra-Tarak, C.J. Fettig, M.L. Goulden, D.W. Goodsman, A.D. Hall, C.D. Koven, L.M. Kueppers, G.D. Madakumbura, L.A. Mortenson, J.A. Powell, and R.M. Scheller. 2021. Warming increased bark beetle-induced tree mortality by 30\% during an extreme drought in California. Global Change Biology. 28(2):509-523. https://doi.org/10.1111/gcb.15927
2021 Sang, Z., A. Hamann, and S.N. Aitken. 2021. Assisted migration poleward rather than upward in elevation minimizes frost risks in plantations. Climate Risk Management. 34:100380. https://doi.org/10.1016/j.crm.2021.100380
2021 Sun, A.Y., P. Jiang, M.K. Mudunuru, and X. Chen. 2021. Explore Spatio-Temporal Learning of Large Sample Hydrology Using Graph Neural Networks. Water Resources Research. 57(12): https://doi.org/10.1029/2021WR030394
2021 Terry, T.J., M.D. Madsen, R.A. Gill, V.J. Anderson, and S.B. St. Clair. 2021. Herbicide effects on the establishment of a native bunchgrass in annual grass invaded areas: Indaziflam versus imazapic. Ecological Solutions and Evidence. 2(1): https://doi.org/10.1002/2688-8319.12049
2021 Terry, T.J., M.D. Madsen, R.A. Gill, V.J. Anderson, and S.B. St. Clair. 2021. Selective herbicide control: using furrows and carbon seed coatings to establish a native bunchgrass while reducing cheatgrass cover. Restoration Ecology. https://doi.org/10.1111/rec.13351
2021 Thornton, P.E., R. Shrestha, M. Thornton, S.C. Kao, Y. Wei, and B.E. Wilson. 2021. Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific Data. 8(1): https://doi.org/10.1038/s41597-021-00973-0
2021 Tyralis, H. and G. Papacharalampous. 2021. Quantile-Based Hydrological Modelling. Water. 13(23):3420. https://doi.org/10.3390/w13233420
2021 Yang, P., X. Cai, and M. Khanna. 2021. Farmers' heterogeneous perceptions of marginal land for biofuel crops in US Midwestern states considering biophysical and socioeconomic factors. GCB Bioenergy. https://doi.org/10.1111/gcbb.12821
2021 Zilli Vieira, C.L. and P. Koutrakis. 2021. The impact of solar activity on ambient ultrafine particle concentrations: An analysis based on 19-year measurements in Boston, USA. Environmental Research. 201:111532. https://doi.org/10.1016/j.envres.2021.111532
2020 Boulmaiz, T., M. Guermoui, and H. Boutaghane. 2020. Impact of training data size on the LSTM performances for rainfall-runoff modeling. Modeling Earth Systems and Environment. 6(4):2153-2164. https://doi.org/10.1007/s40808-020-00830-w
2020 Chen, N., B. Cheng, X. Zhang, and C. Xing. 2020. Surface soil moisture estimation at high spatial resolution by fusing synthetic aperture radar and optical remote sensing data. Journal of Applied Remote Sensing. 14(02):1. https://doi.org/10.1117/1.JRS.14.024508
2020 Gaspar, A.P., S. Mourtzinis, D. Kyle, E. Galdi, L.E. Lindsey, W.P. Hamman, E.G. Matcham, H.J. Kandel, P. Schmitz, J.D. Stanley, J.P. Schmidt, D.S. Mueller, E.D. Nafziger, J. Ross, P.R. Carter, A.J. Varenhorst, K.A. Wise, I.A. Ciampitti, W.D. Carciochi, M.I. Chilvers, B. Hauswedell, A.U. Tenuta, and S.P. Conley. 2020. Defining optimal soybean seeding rates and associated risk across North America. Agronomy Journal. 112(3):2103-2114. https://doi.org/10.1002/agj2.20203
2020 Guo, L., J. Chen, D. Luo, S. Liu, H.J. Lee, N. Motallebi, A. Fong, J. Deng, Q.Z. Rasool, J.C. Avise, T. Kuwayama, B.E. Croes, and M. FitzGibbon. 2020. Assessment of Nitrogen Oxide Emissions and San Joaquin Valley PM 2.5 Impacts From Soils in California . Journal of Geophysical Research: Atmospheres. 125(24): https://doi.org/10.1029/2020JD033304
2020 Hewage, P., A. Behera, M. Trovati, E. Pereira, M. Ghahremani, F. Palmieri, and Y. Liu. 2020. Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft Computing. https://doi.org/10.1007/s00500-020-04954-0
2020 Keellings, D. and H. Moradkhani. 2020. Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States. Geophysical Research Letters. 47(9): https://doi.org/10.1029/2020GL087097
2020 Keyser, A.R., D.J. Krofcheck, C.C. Remy, C.D. Allen, and M.D. Hurteau. 2020. Simulated Increases in Fire Activity Reinforce Shrub Conversion in a Southwestern US Forest. Ecosystems. https://doi.org/10.1007/s10021-020-00498-4
2020 Lesk, C., E. Coffel, and R. Horton. 2020. Net benefits to US soy and maize yields from intensifying hourly rainfall. Nature Climate Change. 10(9):819-822. https://doi.org/10.1038/s41558-020-0830-0
2020 Li, J.S., A. Hamann, and E. Beaubien. 2020. Outlier detection methods to improve the quality of citizen science data. International Journal of Biometeorology. https://doi.org/10.1007/s00484-020-01968-z
2020 McNunn, G., D.L. Karlen, W. Salas, C.W. Rice, S. Mueller, D. Muth, and J.W. Seale. 2020. Climate smart agriculture opportunities for mitigating soil greenhouse gas emissions across the U.S. Corn-Belt. Journal of Cleaner Production. 268:122240. https://doi.org/10.1016/j.jclepro.2020.122240
2020 Tyralis, H., G. Papacharalampous, and A. Langousis. 2020. Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms. Neural Computing and Applications. https://doi.org/10.1007/s00521-020-05172-3
2019 Bartowitz, K.J., P.E. Higuera, B.N. Shuman, K.K. McLauchlan, and T.W. Hudiburg. 2019. Post-Fire Carbon Dynamics in Subalpine Forests of the Rocky Mountains. Fire. 2(4):58. https://doi.org/10.3390/fire2040058
2019 Bone and Nelson. 2019. Improving Mountain Pine Beetle Survival Predictions Using Multi-Year Temperatures Across the Western USA. Forests. 10(10):866. https://doi.org/10.3390/f10100866
2019 Brown, C., S. Steinschneider, P. Ray, S. Wi, L. Basdekas, and D. Yates. 2019. Decision Scaling (DS): Decision Support for Climate Change. 255-287. https://doi.org/10.1007/978-3-030-05252-2_12
2019 Cuesta-Frau, D., J.P. Murillo-Escobar, D.A. Orrego, and E. Delgado-Trejos. 2019. Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications. Entropy. 21(4):385. https://doi.org/10.3390/e21040385
2019 Krofcheck, D.J., C.C. Remy, A.R. Keyser, and M.D. Hurteau. 2019. Optimizing Forest Management Stabilizes Carbon Under Projected Climate and Wildfires. Journal of Geophysical Research: Biogeosciences. 124(10):3075-3087. https://doi.org/10.1029/2019JG005206
2019 Krofcheck, D.J., M.E. Litvak, and M.D. Hurteau. 2019. Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance . Ecosphere. 10(10): https://doi.org/10.1002/ecs2.2905
2019 Lubinda, J., J.A. Trevino C., M.R. Walsh, A.J. Moore, A.A. Hanafi-Bojd, S. Akgun, B. Zhao, A.S. Barro, M.M. Begum, H. Jamal, A. Angulo-Molina, and U. Haque. 2019. Environmental suitability for Aedes aegypti and Aedes albopictus and the spatial distribution of major arboviral infections in Mexico. Parasite Epidemiology and Control. 6:e00116. https://doi.org/10.1016/j.parepi.2019.e00116
2019 Massmann, C. 2019. Identification of factors influencing hydrologic model performance using a top-down approach in a large number of U.S. catchments. Hydrological Processes. 34(1):4-20. https://doi.org/10.1002/hyp.13566
2019 Petrie, M.D., D.P.C. Peters, N.D. Burruss, W. Ji, and H.M. Savoy. 2019. Differing climate and landscape effects on regional dryland vegetation responses during wet periods allude to future patterns. Global Change Biology. 25(10):3305-3318. https://doi.org/10.1111/gcb.14724
2019 Petrie, M.D., D.P.C. Peters, N.D. Burruss, W. Ji, and H.M. Savoy. 2019. Local-regional similarity in drylands increases during multiyear wet and dry periods and in response to extreme events. Ecosphere. 10(12): https://doi.org/10.1002/ecs2.2939
2019 Regan, R.S., K.E. Juracek, L.E. Hay, S.L. Markstrom, R.J. Viger, J.M. Driscoll, J.H. LaFontaine, and P.A. Norton. 2019. The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States. Environmental Modelling & Software. 111:192-203. https://doi.org/10.1016/j.envsoft.2018.09.023
2019 Rigge, M., H. Shi, C. Homer, P. Danielson, and B. Granneman. 2019. Long-term trajectories of fractional component change in the Northern Great Basin, USA . Ecosphere. 10(6):e02762. https://doi.org/10.1002/ecs2.2762
2019 Tyralis, H., G. Papacharalampous, and S. Tantanee. 2019. How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset. Journal of Hydrology. 574:628-645. https://doi.org/10.1016/j.jhydrol.2019.04.070
2019 Van Dam, M.H., A.J. Rominger, and M.S. Brewer. 2019. E nvironmental niche adaptation revealed through fine scale phenological niche modelling . Journal of Biogeography. 46(10):2275-2288. https://doi.org/10.1111/jbi.13663
2019 Wang, W.J., F.R. Thompson, H.S. He, J.S. Fraser, W.D. Dijak, and T. Jones-Farrand. 2019. Climate change and tree harvest interact to affect future tree species distribution changes. Journal of Ecology. 107(4):1901-1917. https://doi.org/10.1111/1365-2745.13144
2019 Williams, C.J., F.B. Pierson, S.K. Nouwakpo, P.R. Kormos, O.Z. Al-Hamdan, and M.A. Weltz. 2019. Long-term evidence for fire as an ecohydrologic threshold-reversal mechanism on woodland-encroached sagebrush shrublands. Ecohydrology. 12(4):e2086. https://doi.org/10.1002/eco.2086
2019 Zhang, Y. and K. Paustian. 2019. Sensitivity of Predicted Agro-Ecosystem Variables to Errors in Weather Input Data. Transactions of the ASABE. 62(3):627-640. https://doi.org/10.13031/trans.13044
2018 Bernardes, S. 2018. A MODIS-Derived Primary Productivity Dataset for North America Based on Topographically-Aware Weather Data and Light-Use Efficiency. 5915-5917. https://doi.org/10.1109/IGARSS.2018.8518831
2018 Brown, J.F., L. Ji, A. Gallant, and M. Kauffman. 2018. Exploring relationships of spring green-up to moisture and temperature across Wyoming, U.S.A. International Journal of Remote Sensing. 40(3):956-984. https://doi.org/10.1080/01431161.2018.1519642
2018 Brown, R. and D. Markewitz. 2018. Soil heterotrophic respiration: Measuring and modeling seasonal variation and silvicultural impacts. Forest Ecology and Management. 430:594-608. https://doi.org/10.1016/j.foreco.2018.08.018
2018 Burkhart, H.E., E.B. Brooks, H. Dinon-Aldridge, C.O. Sabatia, N. Gyawali, R.H. Wynne, and V.A. Thomas. 2018. Regional Simulations of Loblolly Pine Productivity with CO2 Enrichment and Changing Climate Scenarios. Forest Science. 64(4):349-357. https://doi.org/10.1093/forsci/fxy008
2018 Cain, J.W., J.V. Gedir, C.A. Caldwell, and S. Carleton2018. Assessment of Drought Impacts on Selected Fish and Wildlife Species in the Southwestern United States. U.S. Geological Survey, National Climate Change & Wildlife Science Center.
2018 Dai, Z., C.C. Trettin, S. Frolking, and R.A. Birdsey. 2018. Mangrove carbon assessment tool: Model development and sensitivity analysis. Estuarine, Coastal and Shelf Science. 208:23-35. https://doi.org/10.1016/j.ecss.2018.04.035
2018 Dai, Z., C.C. Trettin, S. Frolking, and R.A. Birdsey. 2018. Mangrove carbon assessment tool: Model validation and assessment of mangroves in southern USA and Mexico. Estuarine, Coastal and Shelf Science. 208:107-117. https://doi.org/10.1016/j.ecss.2018.04.036
2018 Damianidis, D., B.V. Ortiz, G.L. Windham, K.L. Bowen, G. Hoogenboom, B.T. Scully, A. Hagan, T. Knappenberger, P. Woli, and W.P. Williams. 2018. Evaluating a generic drought index as a predictive tool for aflatoxin contamination of corn: From plot to regional level. Crop Protection. 113:64-74. https://doi.org/10.1016/j.cropro.2018.07.013
2018 Dauwalter, D.C., K.A. Fesenmyer, S.W. Miller, and T. Porter. 2018. Response of Riparian Vegetation, Instream Habitat, and Aquatic Biota to Riparian Grazing Exclosures. North American Journal of Fisheries Management. 38(5):1187-1200. https://doi.org/10.1002/nafm.10224
2018 Deng, J., L. Guo, W. Salas, P. Ingraham, J.G. Charrier-Klobas, S. Frolking, and C. Li. 2018. Changes in Irrigation Practices Likely Mitigate Nitrous Oxide Emissions From California Cropland. Global Biogeochemical Cycles. 32(10):1514-1527. https://doi.org/10.1029/2018GB005961
2018 DeWoody, J., D.L. Rogers, V.D. Hipkins, and B.A. Endress. 2018. Spatially explicit and multi-sourced genetic information is critical for conservation of an endangered plant species, San Diego thornmint (Acanthomintha ilicifolia). Conservation Genetics. 19(4):893-907. https://doi.org/10.1007/s10592-018-1062-y
2018 Eisen, R.J., S. Feirer, K.A. Padgett, M.B. Hahn, A.J. Monaghan, V.L. Kramer, R.S. Lane, and M. Kelly. 2018. Modeling Climate Suitability of the Western Blacklegged Tick in California. Journal of Medical Entomology. https://doi.org/10.1093/jme/tjy060
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2016 Weissinger, R., T.E. Philippi, and D. Thoma. 2016. Linking climate to changing discharge at springs in Arches National Park, Utah, USA. Ecosphere. 7(10):e01491. https://doi.org/10.1002/ecs2.1491
2016 Williams, C.J., F.B. Pierson, P.R. Robichaud, O.Z. Al-Hamdan, J. Boll, and E.K. Strand. 2016. Structural and functional connectivity as a driver of hillslope erosion following disturbance. International Journal of Wildland Fire. 25(3):306. https://doi.org/10.1071/WF14114
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2015 Allen, M.G. and H.E. Burkhart. 2015. A comparison of alternative data sources for modeling site index in loblolly pine plantations. Canadian Journal of Forest Research. 45(8):1026-1033. https://doi.org/10.1139/cjfr-2014-0346
2015 Ames, G.M., D.L. Vineyard, S.M. Anderson, and J.P. Wright. 2015. Annual growth in longleaf (Pinus palustris) and pond pine (P. serotina) in the Sandhills of North Carolina is driven by interactions between fire and climate. Forest Ecology and Management. 340:1-8. https://doi.org/10.1016/j.foreco.2014.12.020
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2015 Cleaver, C.M., W.R. Jacobi, K.S. Burns, and R.E. Means. 2015. Limber pine in the central and southern Rocky Mountains: Stand conditions and interactions with blister rust, mistletoe, and bark beetles. Forest Ecology and Management. 358:139-153. https://doi.org/10.1016/j.foreco.2015.09.010
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2015 Lee, J., G. Pedroso, C. van Kessel, and J. Six. 2015. Potential regional productivity and greenhouse gas emissions of fertilized and irrigated switchgrass in a Mediterranean climate. Agriculture, Ecosystems & Environment. 212:64-74. https://doi.org/10.1016/j.agee.2015.06.015
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2015 Lundquist, J.D., M. Hughes, B. Henn, E.D. Gutmann, B. Livneh, J. Dozier, and P. Neiman. 2015. High-Elevation Precipitation Patterns: Using Snow Measurements to Assess Daily Gridded Datasets across the Sierra Nevada, California*. Journal of Hydrometeorology. 16(4):1773-1792. https://doi.org/10.1175/JHM-D-15-0019.1
2015 Malanson, G.P., D.L. Zimmerman, and D.B. Fagre. 2015. Floristic similarity, diversity and endemism as indicators of refugia characteristics and needs in the West. Biodiversity. 16(4):237-246. https://doi.org/10.1080/14888386.2015.1117989
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2015 Newman, A.J., M.P. Clark, K. Sampson, A. Wood, L.E. Hay, A. Bock, R.J. Viger, D. Blodgett, L. Brekke, J.R. Arnold, T. Hopson, and Q. Duan. 2015. Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance. Hydrology and Earth System Sciences. 19(1):209-223. https://doi.org/10.5194/hess-19-209-2015
2015 Oyler, J.W., A. Ballantyne, K. Jencso, M. Sweet, and S.W. Running. 2015. Creating a topoclimatic daily air temperature dataset for the conterminous United States using homogenized station data and remotely sensed land skin temperature. International Journal of Climatology. 35(9):2258-2279. https://doi.org/10.1002/joc.4127
2015 Pierson, F.B., C.J. Williams, P.R. Kormos, O.Z. Al-Hamdan, S.P. Hardegree, and P.E. Clark. 2015. Short-Term Impacts of Tree Removal on Runoff and Erosion From Pinyon- and Juniper-Dominated Sagebrush Hillslopes. Rangeland Ecology & Management. 68(5):408-422. https://doi.org/10.1016/j.rama.2015.07.004
2015 Pope, K.L., D.S. Montoya, J.N. Brownlee, J. Dierks, and T.E. Lisle. 2015. Habitat Conditions of Montane Meadows associated with Restored and Unrestored Stream Channels of California. Ecological Restoration. 33(1):61-73. https://doi.org/10.3368/er.33.1.61
2015 Rosemartin, A.H., E.G. Denny, J.F. Weltzin, R. Lee Marsh, B.E. Wilson, H. Mehdipoor, R. Zurita-Milla, and M.D. Schwartz. 2015. Lilac and honeysuckle phenology data 1956-2014. Scientific Data. 2:150038. https://doi.org/10.1038/sdata.2015.38
2015 Ryals, R., M.D. Hartman, W.J. Parton, M.S. DeLonge, and W.L. Silver. 2015. Long-term climate change mitigation potential with organic matter management on grasslands. Ecological Applications. 25(2):531-545. https://doi.org/10.1890/13-2126.1
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2015 Siefert, A., M.R. Lesser, and J.D. Fridley. 2015. How do climate and dispersal traits limit ranges of tree species along latitudinal and elevational gradients?. Global Ecology and Biogeography. 24(5):581-593. https://doi.org/10.1111/geb.12287
2015 Smith, E.A. and S.M. Westenbroek. 2015. Potential groundwater recharge for the State of Minnesota using the Soil-Water-Balance model, 1996-2010. https://doi.org/10.3133/sir20155038
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2015 Thapa, R. and H.E. Burkhart. 2015. Modeling Stand-Level Mortality of Loblolly Pine (Pinus taeda L.) Using Stand, Climate, and Soil Variables. Forest Science. 61(5):834-846. https://doi.org/10.5849/forsci.14-125
2015 Thorn, A.M., J. Xiao, and S.V. Ollinger. 2015. Generalization and evaluation of the process-based forest ecosystem model PnET-CN for other biomes. Ecosphere. 6(3):art43. https://doi.org/10.1890/ES14-00542.1
2015 Turner, D.P., W.D. Ritts, R.E. Kennedy, A.N. Gray, and Z. Yang. 2015. Effects of harvest, fire, and pest/pathogen disturbances on the West Cascades ecoregion carbon balance. Carbon Balance and Management. 10(1): https://doi.org/10.1186/s13021-015-0022-9
2015 Vis, M., R. Knight, S. Pool, W. Wolfe, and J. Seibert. 2015. Model Calibration Criteria for Estimating Ecological Flow Characteristics. Water. 7(12):2358-2381. https://doi.org/10.3390/w7052358
2015 Wang, W.J., H.S. He, F.R. Thompson, J.S. Fraser, and W.D. Dijak. 2015. Landscape- and regional-scale shifts in forest composition under climate change in the Central Hardwood Region of the United States. Landscape Ecology. 31(1):149-163. https://doi.org/10.1007/s10980-015-0294-1
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2015 Xin, Q., M. Broich, P. Zhu, and P. Gong. 2015. Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics. Remote Sensing of Environment. 161:63-77. https://doi.org/10.1016/j.rse.2015.02.003
2015 Yates, D.N., K.A. Miller, R.L. Wilby, and L. Kaatz. 2015. Decision-centric adaptation appraisal for water management across Colorado's Continental Divide. Climate Risk Management. 10:35-50. https://doi.org/10.1016/j.crm.2015.06.001
2014 Archontoulis, S.V., F.E. Miguez, and K.J. Moore. 2014. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean. Environmental Modelling & Software. 62:465-477. https://doi.org/10.1016/j.envsoft.2014.04.009
2014 Archontoulis, S.V., F.E. Miguez, and K.J. Moore. 2014. Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States. Agronomy Journal. 106(3):1025. https://doi.org/10.2134/agronj2013.0421
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2014 Gutierrez, A.P. and L. Ponti. 2014. The new world screwworm: prospective distribution and role of weather in eradication. Agricultural and Forest Entomology. 16(2):158-173. https://doi.org/10.1111/afe.12046
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2014 Nunes, L., S.T. Gower, S.D. Peckham, M. Magalhaes, D. Lopes, and F.C. Rego. 2014. Estimation of productivity in pine and oak forests in northern Portugal using Biome-BGC. Forestry. 88(2):200-212. https://doi.org/10.1093/forestry/cpu044
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2014 Sabatia, C.O. and H.E. Burkhart. 2014. Predicting site index of plantation loblolly pine from biophysical variables. Forest Ecology and Management. 326:142-156. https://doi.org/10.1016/j.foreco.2014.04.019
2014 Schipanski, M.E., M. Barbercheck, M.R. Douglas, D.M. Finney, K. Haider, J.P. Kaye, A.R. Kemanian, D.A. Mortensen, M.R. Ryan, J. Tooker, and C. White. 2014. A framework for evaluating ecosystem services provided by cover crops in agroecosystems. Agricultural Systems. 125:12-22. https://doi.org/10.1016/j.agsy.2013.11.004
2014 Senay, G.B., P.H. Gowda, S. Bohms, T.A. Howell, M. Friedrichs, T.H. Marek, and J.P. Verdin. 2014. Evaluating the SSEBop approach for evapotranspiration mapping with landsat data using lysimetric observations in the semi-arid Texas High Plains. Hydrology and Earth System Sciences Discussions. 11(1):723-756. https://doi.org/10.5194/hessd-11-723-2014
2014 Tingstad, A.H., D.G. Groves, and R.J. Lempert. 2014. Paleoclimate Scenarios to Inform Decision Making in Water Resource Management: Example from Southern California's Inland Empire. Journal of Water Resources Planning and Management. 140(10):04014025. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000403 https://doi.org/10.1061/(ASCE)WR.1943-5452.0000403
2013 Johnson, Adelaide C., and J. Alan Yeakley.; (2013) Wood Microsites at Timberline-Alpine Meadow Borders: Implications for Conifer Seedling Regeneration and Alpine Meadow Conifer Invasion. Northwest Science. 87 (2): 140-160 https://doi.org/10.1061/(ASCE)WR.1943-5452.0000403
2013 Kim, Y. 2013. Drought and elevation effects on MODIS vegetation indices in northern Arizona ecosystems. International Journal of Remote Sensing. 34(14):4889-4899. https://doi.org/10.1080/2150704X.2013.781700
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2013 McGinnis, Megan; Holub, Scott; Myrold, David; 2013. Regional assessment of soil microbial functional diversity of Douglas-fir forests. Soil Science Society of America Journal. https://doi.org/10.2136/sssaj2013.08.0349
2013 Riley, K.L., J.T. Abatzoglou, I.C. Grenfell, A.E. Klene, and F.A. Heinsch. 2013. The relationship of large fire occurrence with drought and fire danger indices in the western USA, 1984-2008: the role of temporal scale. International Journal of Wildland Fire. 22(7):894. https://doi.org/10.1071/WF12149
2013 Wei, Y., S. Liu, D.N. Huntzinger, A.M. Michalak, N. Viovy, W.M. Post, C.R. Schwalm, K. Schaefer, A.R. Jacobson, C. Lu, H. Tian, D.M. Ricciuto, R.B. Cook, J. Mao, and X. Shi. 2013. The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project - Part 2: Environmental driver data. Geoscientific Model Development Discussions. 6(4):5375-5422. https://doi.org/10.5194/gmdd-6-5375-2013
2012 Grisso, R. D., and E. G. Webb. (2012) Determining Available Work Days for Biomass Logistics Systems: Proposed Method..DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Infor https://doi.org/10.5194/gmdd-6-5375-2013
2012 Ryals, Rebecca. (2012) Carbon and Greenhouse Gas Dynamics in Annual Grasslands: Effects of Management and Potential for Climate Change Mitigation... (): https://doi.org/10.5194/gmdd-6-5375-2013