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Nikolay Strigul - Publications

Affiliations: 
Mathematics Washington State University, Pullman, WA, United States 
Area:
Theoretical and experimental ecology, complex adaptive systems, mathematical biology, biostatistics, scaling methods, application of mathematical modeling to ecological problems
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22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Erickson A, Strigul N. Implementation of the perfect plasticity approximation with biogeochemical compartments in R Ecography. 43: 682-688. DOI: 10.1111/Ecog.04756  0.474
2019 Rumyantseva O, Sarantsev A, Strigul N. Autoregressive Modeling of Forest Dynamics Forests. 10: 1074. DOI: 10.3390/f10121074  0.396
2019 Erickson A, Strigul N. A Forest Model Intercomparison Framework and Application at Two Temperate Forests Along the East Coast of the United States Forests. 10: 180. DOI: 10.3390/F10020180  0.485
2018 Probst A, Gatziolis D, Lienard J, Strigul N. Correction to: 'Intercomparison of photogrammetry software for three-dimensional vegetation modelling'. Royal Society Open Science. 5: 181297. PMID 30225093 DOI: 10.1098/Rsos.181297  0.588
2018 Probst A, Gatziolis D, Strigul N. Intercomparison of photogrammetry software for three-dimensional vegetation modelling. Royal Society Open Science. 5: 172192. PMID 30109055 DOI: 10.1098/Rsos.172192  0.404
2016 Talluto MV, Boulangeat I, Ameztegui A, Aubin I, Berteaux D, Butler A, Doyon F, Drever CR, Fortin MJ, Franceschini T, Liénard J, McKenney D, Solarik KA, Strigul N, Thuiller W, et al. Cross-scale integration of knowledge for predicting species ranges: a metamodeling framework. Global Ecology and Biogeography : a Journal of Macroecology. 25: 238-249. PMID 27499698 DOI: 10.1111/Geb.12395  0.634
2016 Liénard J, Harrison J, Strigul N. US forest response to projected climate-related stress: a tolerance perspective. Global Change Biology. 22: 2875-86. PMID 27113317 DOI: 10.1111/Gcb.13291  0.676
2016 Liénard J, Strigul N. An individual-based forest model links canopy dynamics and shade tolerances along a soil moisture gradient. Royal Society Open Science. 3: 150589. PMID 26998329 DOI: 10.1098/Rsos.150589  0.703
2016 Liénard JF, Strigul NS. Modelling of hardwood forest in Quebec under dynamic disturbance regimes: A time-inhomogeneous Markov chain approach Journal of Ecology. 104: 806-816. DOI: 10.1111/1365-2745.12540  0.676
2016 Liénard J, Strigul N. An individual-based forest model links canopy dynamics and shade tolerances along a soil moisture gradient Royal Society Open Science. 3. DOI: 10.1098/rsos.150589  0.657
2016 Liénard J, Vogs A, Gatziolis D, Strigul N. Embedded, real-time UAV control for improved, image-based 3D scene reconstruction Measurement: Journal of the International Measurement Confederation. 81: 264-269. DOI: 10.1016/J.Measurement.2015.12.014  0.581
2016 Liénard J, Lynn K, Strigul N, Norris BK, Gatziolis D, Mullarney JC, Bryan KR, Henderson SM. Efficient three-dimensional reconstruction of aquatic vegetation geometry: Estimating morphological parameters influencing hydrodynamic drag Estuarine, Coastal and Shelf Science. 178: 77-85. DOI: 10.1016/J.Ecss.2016.05.011  0.62
2015 Gatziolis D, Lienard JF, Vogs A, Strigul NS. 3D Tree Dimensionality Assessment Using Photogrammetry and Small Unmanned Aerial Vehicles. Plos One. 10: e0137765. PMID 26393926 DOI: 10.1371/journal.pone.0137765  0.652
2015 Lienard J, Florescu I, Strigul N. An appraisal of the classic forest succession paradigm with the shade tolerance index. Plos One. 10: e0117138. PMID 25658092 DOI: 10.1371/Journal.Pone.0117138  0.691
2015 Talluto MV, Boulangeat I, Ameztegui A, Aubin I, Berteaux D, Butler A, Doyon F, Drever CR, Fortin MJ, Franceschini T, Liénard J, Mckenney D, Solarik KA, Strigul N, Thuiller W, et al. Cross-scale integration of knowledge for predicting species ranges: A metamodelling framework Global Ecology and Biogeography. DOI: 10.1111/geb.12395  0.573
2015 Liénard JF, Gravel D, Strigul NS. Data-intensive modeling of forest dynamics Environmental Modelling and Software. 67: 138-148. DOI: 10.1016/j.envsoft.2015.01.010  0.641
2015 Liénard J, Strigul N. Linking forest shade tolerance and soil moisture in North America Ecological Indicators. 58: 332-334. DOI: 10.1016/J.Ecolind.2015.05.034  0.685
2012 Strigul N, Florescu I, Welden AR, Michalczewski F. Modelling of forest stand dynamics using Markov chains Environmental Modelling and Software. 31: 64-75. DOI: 10.1016/J.Envsoft.2011.12.004  0.508
2009 Strigul N, Dette H, Melas VB. A practical guide for optimal designs of experiments in the Monod model Environmental Modelling and Software. 24: 1019-1026. DOI: 10.1016/J.Envsoft.2009.02.006  0.301
2008 Purves DW, Lichstein JW, Strigul N, Pacala SW. Predicting and understanding forest dynamics using a simple tractable model. Proceedings of the National Academy of Sciences of the United States of America. 105: 17018-22. PMID 18971335 DOI: 10.1073/Pnas.0807754105  0.643
2008 Strigul N, Pristinski D, Purves D, Dushoff J, Pacala S. Scaling from trees to forests: Tractable macroscopic equations for forest dynamics Ecological Monographs. 78: 523-545. DOI: 10.1890/08-0082.1  0.648
2005 Strigul N, Koutsospyros A, Arienti P, Christodoulatos C, Dermatas D, Braida W. Effects of tungsten on environmental systems. Chemosphere. 61: 248-58. PMID 16168748 DOI: 10.1016/J.Chemosphere.2005.01.083  0.324
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