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StefanKruse/LAVESI: LAVESI-WIND v1.2

Authors: Stefan Kruse;

StefanKruse/LAVESI: LAVESI-WIND v1.2

Abstract

This source code can be compiled to build the <i>Larix</i> vegetation simulator LAVESI-WIND, with wind-dependent seed dispersal and pollination and parallelisation of computational intensive parts of the code. This program simulates the vegetation dynamics of larch tree species, which are driven by monthly temperature and precipitation data series, as well as wind data from the vegetation period (May-Aug). In this version long latitudinal transects of climate forcing data can be simulated to run areas spanning the current treeline/forested area up to the shoreline with the Arctic Ocean. Version history: The version of this code is based on LAVESI-WIND v1.0 for which details can be found in the publication in Gescientific Model Development: Stefan Kruse, Alexander Gerdes, Nadja J. Kath, Ulrike Herzschuh (2018). Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0. Geoscientific Model Development, 11, 4451–4467. https://doi.org/10.5194/gmd-11-4451-2018 The former version LAVESI v1.01 and its building process and application is described in the publication in Ecological Modelling: Stefan Kruse, Mareike Wieczorek, Florian Jeltsch and Ulrike Herzschuh (2016) Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix. Ecological Modelling, 338, 101–121. http://dx.doi.org/10.1016/j.ecolmodel.2016.08.003 Additional data and results are available at https://doi.pangaea.de/10.1594/PANGAEA.863584 Code available at https://doi.org/10.5281/zenodo.1155486 Authors: Stefan Kruse - stefan.kruse@awi.de

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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