Dynamic Global Vegetation Models
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[1] R. Halvorsen,et al. Composite landscape predictors improve distribution models of ecosystem types , 2020, Diversity and Distributions.
[2] Edward J. Gregr,et al. The IUCN Global Ecosystem Typology v1.01: Descriptive profiles for Biomes and Ecosystem Functional Groups , 2020 .
[3] Anne D. Bjorkman,et al. Complexity revealed in the greening of the Arctic , 2019, Nature Climate Change.
[4] H. Skånes,et al. Bridging theory and implementation – Testing an abstract classification system for practical mapping by field survey and 3D aerial photographic interpretation , 2019, Norsk Geografisk Tidsskrift - Norwegian Journal of Geography.
[5] L. Tallaksen,et al. Distribution modelling of vegetation types based on area frame survey data , 2019, Applied Vegetation Science.
[6] Yeonjoo Kim,et al. Interactive Impacts of Fire and Vegetation Dynamics on Global Carbon and Water Budgets using Community Land Model version 4.5 , 2018 .
[7] Tomislav Hengl,et al. Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential , 2018, PeerJ.
[8] A. Bryn,et al. Land cover in Norway based on an area frame survey of vegetation types , 2018 .
[9] Minghua Zhang,et al. Evaluation of the New Dynamic Global Vegetation Model in CAS-ESM , 2018, Advances in Atmospheric Sciences.
[10] C. Lussana,et al. seNorge2 daily precipitation, an observational gridded dataset over Norway from 1957 to the present day , 2018 .
[11] C. Lussana,et al. Three‐dimensional spatial interpolation of 2 m temperature over Norway , 2018 .
[12] Gregory Duveiller,et al. The mark of vegetation change on Earth’s surface energy balance , 2018, Nature Communications.
[13] Natasha MacBean,et al. Uncertainty in plant functional type distributions and its impact on land surface models , 2017 .
[14] Jose Manuel Álvarez-Martínez,et al. Modelling the area of occupancy of habitat types with remote sensing , 2017 .
[15] R. Fensholt,et al. Impacts of the seasonal distribution of rainfall on vegetation productivity across the Sahel , 2017 .
[16] Neil D. Burgess,et al. An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm , 2017, Bioscience.
[17] T. Hickler,et al. Expansion of deciduous tall shrubs but not evergreen dwarf shrubs inhibited by reindeer in Scandes mountain range , 2017, The Journal of ecology.
[18] G. Bonan. Forests, Climate, and Public Policy: A 500-Year Interdisciplinary Odyssey , 2016 .
[19] Wei Li,et al. Major forest changes and land cover transitions based on plant functional types derived from the ESA CCI Land Cover product , 2016, Int. J. Appl. Earth Obs. Geoinformation.
[20] C. Lussana,et al. Evaluation of summer precipitation from EURO‐CORDEX fine‐scale RCM simulations over Norway , 2016 .
[21] E. Pebesma,et al. Classes and Methods for Spatial Data , 2015 .
[22] Jason S. Sibold,et al. Mapping forest functional type in a forest-shrubland ecotone using SPOT imagery and predictive habitat distribution modelling , 2015 .
[23] R. Betts,et al. Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative , 2015 .
[24] Dominique Gravel,et al. Using dynamic vegetation models to simulate plant range shifts , 2014 .
[25] Harold S. J. Zald,et al. Species distribution modelling for plant communities: stacked single species or multivariate modelling approaches? , 2014 .
[26] J. Kattge,et al. Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems. , 2014, Annals of botany.
[27] Simon Scheiter,et al. Next-generation dynamic global vegetation models: learning from community ecology. , 2013, The New phytologist.
[28] G. Strand. The Norwegian area frame survey of land cover and outfield land resources , 2013 .
[29] A. Bryn,et al. A high-resolution GIS null model of potential forest expansion following land use changes in Norway , 2013 .
[30] Evaluating the tree population density and its impacts in CLM-DGVM , 2013, Advances in Atmospheric Sciences.
[31] Rune Halvorsen,et al. A gradient analytic perspective on distribution modelling , 2012 .
[32] Benjamin Smith,et al. Modelling Tundra Vegetation Response to Recent Arctic Warming , 2012, AMBIO.
[33] S. Levis,et al. Evaluation of the New CNDV Option of the Community Land Model: Effects of Dynamic Vegetation and Interactive Nitrogen on CLM4 Means and Variability* , 2012 .
[34] A. Bryn,et al. Three methods for modelling potential natural vegetation (PNV) compared: A methodological case study from south-central Norway , 2012 .
[35] Thomas Giesecke,et al. Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model , 2012 .
[36] S. Goetz,et al. Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities , 2011, Environmental Research Letters.
[37] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[38] F. Woodward,et al. Assessing uncertainties in a second-generation dynamic vegetation model caused by ecological scale limitations. , 2010, The New phytologist.
[39] Nathalie de Noblet-Ducoudré,et al. Climatic Impact of Global-Scale Deforestation: Radiative versus Nonradiative Processes , 2010 .
[40] Caspar A. Mücher,et al. Modelling the spatial distribution of Natura 2000 habitats across Europe , 2009 .
[41] Weiqi Luo,et al. Analysing ecological data , 2009 .
[42] R. Halvorsen,et al. Step‐less models for regional environmental variation in Norway , 2008 .
[43] I. C. Prentice,et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .
[44] X. Zeng,et al. Growing temperate shrubs over arid and semiarid regions in the Community Land Model–Dynamic Global Vegetation Model , 2008 .
[45] Yichun Xie,et al. Remote sensing imagery in vegetation mapping: a review , 2008 .
[46] Antoine Guisan,et al. Spatial modelling of biodiversity at the community level , 2006 .
[47] Eero Nikinmaa,et al. Wintertime photosynthesis and water uptake in a boreal forest. , 2006, Tree physiology.
[48] F. Wielgolaski. History and Environment of the Nordic Mountain Birch , 2005 .
[49] S. Ferrier,et al. Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. I. Species-level modelling , 2004, Biodiversity & Conservation.
[50] K. Oleson,et al. A dynamic global vegetation model for use with climate models: concepts and description of simulated vegetation dynamics , 2003 .
[51] Keith W. Oleson,et al. Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models , 2002 .
[52] Michael A. Wulder,et al. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas , 2002 .
[53] O. Zyryanova,et al. Ecological Studies , 1911, Nature.