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Publications Citing MODELS

CitationYearData Set or Project
Bugmann, HaraldK M.; Wullschleger, StanD; Price, DavidT; Ogle, Kiona; Clark, DonaldF; Solomon, AllenM; (2001). Comparing the Performance of Forest gap Models in North America. Climatic Change. 51 (3-4): 349-388. http://dx.doi.org/10.1023/A:10125379148812001
Lu, L.; Pielke Sr, Roger A.; Liston, Glen E.; Parton, William J.; Ojima, Dennis; Hartman, Melannie; (2001). Implementation of a Two-Way Interactive Atmospheric and Ecological Model and Its Application to the Central United States. Journal of Climate. 14 (5): 900. http://dx.doi.org/10.1175/1520-0442(2001)014<0900:IOATWI>2.0.CO;22001
Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498. 2006
Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498. 2006
Cienciala, E., and F.A. Tatarinov.; 2006. Application of BIOME-BGC model to managed forests: 2. Comparison with long-term observations of stand production for major tree species. Forest Ecology and Management. 237 (1-3): 252-266.http://dx.doi.org/10.1016/j.foreco.2006.09.0862006
Tatarinov, F.A., and E. Cienciala.; (2006). Application of BIOME-BGC model to managed forests: 1. Sensitivity analysis. Forest Ecology and Management. 237 (1-3): 267-279. http://dx.doi.org/10.1016/j.foreco.2006.09.0852006
Rokityanskiy, D., P.C. Benitez, F. Kraxner, I. McCallum, M. Obersteiner, E. Rametsteiner, and Y. Yamagata.; (2007). Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply. Technological Forecasting and Social Change. 74 (7): 1057-1082. http://dx.doi.org/10.1016/j.techfore.2006.05.0222007
Bai, Z. G., Dent, D. L., Olsson, L., Schaepman, M. E.; (2008). Global assessment of land degradation and improvement 1: identification by remote sensing. ISBN: Report 2008.01, ISRIC - World Soil Information.2008
Bruno Locatelli, Hety Herawati, Maria Brockhaus, Monica Idinoba, Markku Kanninen (2008) Methods and Tools for Assessing the Vulnerability of Forests and People to Climate Change.Center for International Forestery Research (CIFOR) and Agricultral Research Center for International Development (CIRAD). Working Paper No. 43. http://dx.doi.org/http://www.ibcperu.org/doc/isis/10815.pdf2008
Zhang, Y. Q., Yu, Q., Jiang, J., Tang, Y. H.; (2008). Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology. 14 (4): 757-767. ISBN: 1354-1.http://dx.doi.org/10.1111/j.1365-2486.2008.01538.x2008
Zhang, Y., Wang, S., Barr, A. G., Black, T. A.; (2008). Impact of snow cover on soil temperature and its simulation in a boreal aspen forest. Cold Regions Science and Technology. 52 (3): 355-370.http://dx.doi.org/10.1016/j.coldregions.2007.07.0012008
Gu, L.; (2009). Aqueous and gaseous nitrogen losses induced by fertilizer application. Lawrence Berkeley Technical Report.http://dx.doi.org/http://www.escholarship.org/uc/item/1p49x2bj2009
Scott Goetz, Forrest Melton, Weile Wang, Cristina Milesi, David Theobald; (2009) Modeling Strategies for Adaption to Coupled Climate and Land Use Change in the United States. Proc/ of the World Bank 2009 Marseille Cities and Climate Change Urban Research Symposium, World Bank.. http://dx.doi.org/https://nex.nasa.gov/nex/static/media/publication/Goetz_et_2009.pdf2009
Fang, Xiaowen., Chua, Teresita., Schmidt-Rohr, Klaus., Thompson, Michael L.; (2010). Quantitative 13C NMR of whole and fractionated Iowa Mollisols for assessment of organic matter composition. Geochimica et Cosmochimica Acta. 74 (2): 584-598. ISBN: 0016-7. http://dx.doi.org/10.1016/j.gca.2009.10.0082010
Schwalm, Christopher R.;Williams, Christopher A.;Schaefer, Kevin;Anderson, Ryan;Arain, M. Altaf;Baker, Ian;Barr, Alan;Black, T. Andrew;Chen, Guangsheng;Chen, Jing Ming;Ciais, Philippe;Davis, Kenneth J.;Desai, Ankur;Dietze, Michael;Dragoni, Danilo;Fischer,; (2010). A model-data intercomparison of CO2exchange across North America: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research. 115 (G3). http://dx.doi.org/10.1029/2009jg0012292010
Badawy, B.; (2011). Quantifying carbon processes of the terrestrial biosphere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data. International Max Planck Research School on Earth System Modelling. Ph.D. (Technical Report 21). 2011
HU Bo,,SUN Rui,CHEN Yong-jun,FENG Li-chao,SUN Liang; (2011). Estimation of the Net Ecosystem Productivity in Huang-Huai Hai Region Combining with Biome-BGC Model and Remote Sensing Data. Journal of Natural Resources. 2011
Rueda Restrepo, J.A., Ciencias Forestales, (2011). Modelacion de la din_mica del carbono en la biomasa del bosque del norte de los Andes usando el modelo CENTURY. Thesis. http://dx.doi.org/http://www.bdigital.unal.edu.co/4609/1/98491011._2011.pdf2011
Wang, Yeqiao, ed. (2011) Remoting Sensing of Protected Lands.CRC Press.. http://dx.doi.org/ISBN:143984187X,97814398418772011
Badawy, B., R_denbeck, C., Reichstein, M., Carvalhais, N., & Heimann, M.; (2012). Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM). Biogeosciences Discussions. 9 (10): 15127.http://dx.doi.org/10.5194/bgd-9-15127-20122012
Blackledge, J., Coyle, E., McCoy, N., Kearney, D., Sunderland, K., & Woolmington, T.; (2012). Analysis of Wind Velocity and the Quantification of Wind Turbulence in Rural and Urban Environments using the L_vy Index and Fractal Dimension. ISAST Transactions on Computers and Intelligent Systems. 4 (0). 2012
Hidy, D., Barcza, Z., Haszpra, L., Churkina, G., Pint_r, K., & Nagy, Z.; (2012). Development of the Biome-BGC model for simulation of managed herbaceous ecosystems. Ecological Modelling. 226 (0): 99-119.http://dx.doi.org/10.1016/j.ecolmodel.2011.11.0082012
Keenan, T. F., Baker, I., Barr, A., Ciais, P., Davis, K., Dietze, M., et al.; (2012). Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Global Change Biology. 18 (6): 1971-1987.http://dx.doi.org/10.1111/j.1365-2486.2012.02678.x2012
Muraoka, H., Noda, H. M., Nagai, S., Motoka, T., Saitoh, T. M., Nasahara, K. N., et al.; (2012). Spectral vegetation indices as the indicator of canopy photosynthetic productivity in a deciduous broadleaf forest. Journal of Plant Ecology.http://dx.doi.org/10.1093/jpe/rts0372012
Schaefer, K., Schwalm, C. R., Williams, C., Arain, M. A., Barr, A., Chen, J. M., et al.; (2012). A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research. 117 (G3): G03010. http://dx.doi.org/10.1029/2012JG0019602012
Badawy, B.;Rödenbeck, C.;Reichstein, M.;Carvalhais, N.;Heimann, M.; (2013) Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM).Biogeosciences. 10 (10): 6485-6508. http://dx.doi.org/10.5194/bg-10-6485-20132013
Choi H.I., Liang, Xin-Zhong, Kumar, Praveen.; (2013). A Conjunctive Surface-Subsurface Flow Representation for Mesoscale Land Surface Models. Journal of Hydrometeorology. 14 (5): 1421-1442. http://dx.doi.org/10.1175/JHM-D-12-0168.12013
Cunha A.P.M.A., Alvalá, Regina C. S., Sampaio, Gilvan, Shimizu, Marília Harumi, Costa, Marcos Heil.; (2013). Calibration and Validation of the Integrated Biosphere Simulator (IBIS) for a Brazilian Semiarid Region. Journal of Applied Meteorology and Climatology. 52 (12): 2753-2770. http://dx.doi.org/10.1175/JAMC-D-12-0190.12013
Keenan, Trevor F.;Hollinger, David Y.;Bohrer, Gil;Dragoni, Danilo;Munger, J. William;Schmid, Hans Peter;Richardson, Andrew D.; (2013) Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature. 499 (7458): 324-327. http://dx.doi.org/10.1038/nature122912013
Laurent O., Wu, Jun, Li, Lianfa, Milesi, Cristina.; (2013) Green spaces and pregnancy outcomes in Southern California. Health & Place. 24 (0): 190-195. http://dx.doi.org/10.1016/j.healthplace.2013.09.0162013
Parece T., Campbell, James.; (2013) Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography. Remote Sensing. 5 (10): 4942-4960. http://dx.doi.org/10.3390/rs51049422013
Seidl, Rupert;Eastaugh, Chris S.;Kramer, Koen;Maroschek, Michael;Reyer, Christopher;Socha, Jaros?aw;Vacchiano, Giorgio;Zlatanov, Tzvetan;Hasenauer, Hubert; (2013) Scaling issues in forest ecosystem management and how to address them with models. European Journal of Forest Research. 132 (5-6): 653-666. http://dx.doi.org/10.1007/s10342-013-0725-y2013
Stoy, P. C.;Dietze, M. C.;Richardson, A. D.;Vargas, R.;Barr, A. G.;Anderson, R. S.;Arain, M. A.;Baker, I. T.;Black, T. A.;Chen, J. M.;Cook, R. B.;Gough, C. M.;Grant, R. F.;Hollinger, D. Y.;Izaurralde, R. C.;Kucharik, C. J.;Lafleur, P.;Law, B. E.;Liu, S.;L; (2013). Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis. Biogeosciences. 10 (11): 6893-6909. http://dx.doi.org/10.5194/bg-10-6893-20132013
Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment.2013
Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment.2013
Zhang C., Li, Chaofan, Luo, Geping, Chen, Xi.; (2013) Modeling plant structure and its impacts on carbon and water cycles of the Central Asian arid ecosystem in the context of climate change. Ecological Modelling. 267 (0): 158-179. http://dx.doi.org/10.1016/j.ecolmodel.2013.06.0082013
Byrd, Kristin B.; OConnell, Jessica L.; Di Tommaso, Stefania and Kelly, Maggi. (2014) Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment. 149: 166-180. http://dx.doi.org/10.1016/j.rse.2014.04.0032014
Hajj, Mohammad El; Baghdadi, Nicolas; Belaud, Gilles; Zribi, Mehrez; Cheviron, Bruno; Courault, Dominique; Hagolle, Olivier and Charron, François. (2014) Irrigated grassland monitoring using a time series of terraSAR-X and COSMO-skyMed X-Band SAR Data. Remote Sensing. 6(10): 10002-10032. http://dx.doi.org/10.3390/rs610100022014
Jiang, Dong; Hao, Mengmeng; Fu, Jingying; Wang, Qiao; Huang, Yaohuan and Fu, Xinyu. (2014) Assessment of the GHG Reduction Potential from Energy Crops Using a Combined LCA and Biogeochemical Process Models: A Review. The Scientific World Journal. 2014: 10. http://dx.doi.org/10.1155/2014/5378262014
Keenan, Trevor F.;Gray, Josh;Friedl, Mark A.;Toomey, Michael;Bohrer, Gil;Hollinger, David Y.;Munger, J. William;O’Keefe, John;Schmid, Hans Peter;Wing, Ian Sue;Yang, Bai;Richardson, Andrew D.; (2014) Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nature Climate Change. 4 (0): 598-604. http://dx.doi.org/10.1038/nclimate22532014
Lee, Zarraz M.; Schmidt, Thomas M. (2014) Bacterial growth efficiency varies in soils under different land management practices. Soil Biology and Biochemistry. 69: 282-290. http://dx.doi.org/10.1016/j.soilbio.2013.11.0122014
Murdoch, Peter S.;McHale, Michael;Baron, Jill; (2014) Reflections on a Vision for Integrated Research and Monitoring After 15 Years. Aquatic Geochemistry. 20 (2-3): 363-380. http://dx.doi.org/10.1007/s10498-013-9222-72014
Wilson, Courtney R and Brown, Daniel G. (2014) Change in visible impervious surface area in southeastern Michigan before and after the “Great Recession:” spatial differentiation in remotely sensed land-cover dynamics. Population and Environment. 36(3): 331-355. http://dx.doi.org/10.1007/s11111-014-0219-y2014
Camarero, J Julio; Franquesa, Magi; Sanguesa-Barreda, Gabriel (2015). Timing of drought triggers distinct growth responses in Holm Oak: Implications to predict warming-induced forest defoliation and growth decline, Forests, 6 (5). http://dx.doi.org/10.3390/f60515762015
Danelichen, Victor H.M.; Biudes, Marcelo S.; Velasque, Maisa C.S.; Machado, Nadja G.; Gomes, Raphael S.R.; Vourlitis, George L.; Nogueira, Jose S. (2015). Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery, Anais da Academia Brasileira de Cięncias, 87. http://dx.doi.org/10.1590/0001-37652015201404572015
Dihkan, Mustafa; Karsli, Fevzi; Guneroglu, Abdulaziz; Guneroglu, Nilgun (2015). Evaluation of surface urban heat island (SUHI) effect on coastal zone: The case of Istanbul Megacity, Ocean & Coastal Management, 118, Part B. http://dx.doi.org/10.1016/j.ocecoaman.2015.03.0082015
Fetene, Aramde;Hilker, Thomas;Yeshitela, Kumelachew;Prasse, Ruediger;Cohen, Warren;Yang, Zhiqiang; (2015) Detecting Trends in Landuse and Landcover Change of Nech Sar National Park, Ethiopia.Environmental Management. 57(1): 137-147. http://dx.doi.org/10.1007/s00267-015-0603-02015
Gartner, Philipp; Kleinschmit, Birgit (2015). Monitoring forest recovery with change metrics derived from Landsat time series stacks, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp),. http://dx.doi.org/10.1109/Multi-Temp.2015.72458072015
Gebhardt, S.; Maeda, P.; Wehrmann, T.; Argumedo Espinoza, J.; Schmidt, M. (2015). A proper Land Cover and Forest Type Classification Scheme for Mexico, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3. http://dx.doi.org/10.5194/isprsarchives-XL-7-W3-383-20152015
Guneroglu, Abdulaziz (2015). Coastal changes and land use alteration on Northeastern part of Turkey, Ocean & Coastal Management, 118, Part B. http://dx.doi.org/10.1016/j.ocecoaman.2015.06.0192015
Mitraka, Z.; Del Frate, F.; Carbone, F. (2015). Spectral unmixing of urban Landsat imagery by means of neural networks, 2015 Joint Urban Remote Sensing Event (JURSE),. http://dx.doi.org/10.1109/JURSE.2015.71204632015
Wang, Wen J.;He, Hong S.;Thompson, Frank R.;Fraser, Jacob S.;Dijak, William D.; (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. http://dx.doi.org/10.1007/s10980-015-0294-12015
Zhao, Yi; Chen, XinPing; Cui, ZhenLing; Lobell, David B. (2015). Using satellite remote sensing to understand maize yield gaps in the North China Plain, Field Crops Research, 183. http://dx.doi.org/10.1016/j.fcr.2015.07.0042015
Dijak, William D.;Hanberry, Brice B.;Fraser, Jacob S.;He, Hong S.;Wang, Wen J.;Thompson, Frank R.; (2016) Revision and application of the LINKAGES model to simulate forest growth in central hardwood landscapes in response to climate change.Landscape Ecology.. http://dx.doi.org/10.1007/s10980-016-0473-82016
Dvorett, Daniel;Davis, Craig;Pape?, Monica; (2016) Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat Imagery.Wetlands. 36(3): 431-443. http://dx.doi.org/10.1007/s13157-016-0752-92016
Gizachew, Belachew;Solberg, Svein;Nćsset, Erik;Gobakken, Terje;Bollandsĺs, Ole Martin;Breidenbach, Johannes;Zahabu, Eliakimu;Mauya, Ernest William; (2016) Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data.Carbon Balance and Management. 11(1):. http://dx.doi.org/10.1186/s13021-016-0055-82016
Hamzeh, Saeid;Naseri, Abd Ali;AlaviPanah, Seyed Kazem;Bartholomeus, Harm;Herold, Martin; (2016) Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields.International Journal of Applied Earth Observation and Geoinformation. 52 412-421. http://dx.doi.org/10.1016/j.jag.2016.06.0242016
Hidy, Dóra;Barcza, Zoltán;Marjanovi?, Hrvoje;Ostrogovi? Sever, Maša Zorana;Dobor, Laura;Gelybó, Györgyi;Fodor, Nándor;Pintér, Krisztina;Churkina, Galina;Running, Steven;Thornton, Peter;Bellocchi, Gianni;Haszpra, László;Horváth, Ferenc;Suyker, Andrew;Nagy, (2016) Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities.Geoscientific Model Development. 9(12): 4405-4437. http://dx.doi.org/10.5194/gmd-9-4405-20162016
Jepsen, S. M.;Harmon, T. C.;Shi, Y.; (2016) Watershed model calibration to the base flow recession curve with and without evapotranspiration effects.Water Resources Research. 52(4): 2919-2933. http://dx.doi.org/10.1002/2015WR0178272016
Jin, Wenchi;He, Hong S.;Thompson, Frank R.; (2016) Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?.Environmental Modelling & Software. 75 1-14. http://dx.doi.org/10.1016/j.envsoft.2015.10.0042016
Mantas, Vasco M.;Marques, Joăo Carlos;Pereira, Alcides J.S.C.; (2016) A geospatial approach to monitoring impervious surfaces in watersheds using Landsat data (the Mondego Basin, Portugal as a case study).Ecological Indicators. 71 449-466. http://dx.doi.org/10.1016/j.ecolind.2016.07.0132016
Mitraka, Zina;Del Frate, Fabio;Carbone, Francesco; (2016) Nonlinear Spectral Unmixing of Landsat Imagery for Urban Surface Cover Mapping.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7): 3340-3350. http://dx.doi.org/10.1109/JSTARS.2016.25221812016
Molina, Juan;Lugo, Pablo;Arias, Jeraldine;Guaje, Javier;Castro, Harold;Costa, Carlos;Cabrera, Edersson;Sanabria, Mayerling; (2016) Atmospheric correction matching to theoretical forest signature applied to different colombian regions. 1-7. http://dx.doi.org/10.1109/STSIVA.2016.77433132016
Rasool, Quazi Z.;Zhang, Rui;Lash, Benjamin;Cohan, Daniel S.;Cooter, Ellen J.;Bash, Jesse O.;Lamsal, Lok N.; (2016) Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2.Geoscientific Model Development. 9(9): 3177-3197. http://dx.doi.org/10.5194/gmd-9-3177-20162016
Sándor, R.;Barcza, Z.;Hidy, D.;Lellei-Kovács, E.;Ma, S.;Bellocchi, G.; (2016) Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models.Agriculture, Ecosystems & Environment. 215 1-19. http://dx.doi.org/10.1016/j.agee.2015.09.0012016
Valencia, G. M.;Anaya, J. A.;Caro-Lopera, F. J.; (2016) Implementación y evaluación del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos.Revista de Teledetección. (46): 83. http://dx.doi.org/10.4995/raet.2016.35822016
Wang, Wen J.;He, Hong S.;Thompson, Frank R.;Fraser, Jacob S.;Dijak, William D.; (2016) Changes in forest biomass and tree species distribution under climate change in the northeastern United States.Landscape Ecology.. http://dx.doi.org/10.1007/s10980-016-0429-z2016
Zipper, Samuel C;Schatz, Jason;Singh, Aditya;Kucharik, Christopher J;Townsend, Philip A;Loheide, Steven P; (2016) Urban heat island impacts on plant phenology: intra-urban variability and response to land cover.Environmental Research Letters. 11(5): 054023. http://dx.doi.org/10.1088/1748-9326/11/5/0540232016
Hanan, Erin J.;Tague, Christina Naomi;Schimel, Joshua P.; (2017) Nitrogen cycling and export in California chaparral: the role of climate in shaping ecosystem responses to fire.Ecological Monographs. 87(1): 76-90. http://dx.doi.org/10.1002/ecm.12342017
Soulis, E. D. and F. R. Seglenieks; (2008). The MAGS Integrated Modeling System. Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: 445-473. http://dx.doi.org/10.1007/978-3-540-75136-6_242008