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Kruse, Stefan; Wieczorek, Mareike; Jeltsch, Florian; Herzschuh, Ulrike (2016): Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix, supplementary material [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.863584, Supplement to: Kruse, S et al. (2016): Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix. Ecological Modelling, 338, 101-121, https://doi.org/10.1016/j.ecolmodel.2016.08.003

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Abstract:
Siberian boreal forests are expected to expand northwards in the course of global warming. However, processes of the treeline ecotone transition, as well astiming and related climate feedbacks are still not understood. Here, we present 'Larix Vegetation Simulator' LAVESI, an individual-based spatially-explicit model that can simulate Larix gmelinii (RUPR.) RUPR. stand dynamics in an attempt to improve our understanding about past and future treeline movements under changing climates. The relevant processes (growth, seed production and dispersal, establishment and mortality) are incorporated and adjusted to observation data mainly gained from the literature. Results of a local sensitivity analysis support the robustness of the model's parameterization by giving relatively small sensitivity values. We tested the model by simulating tree stands under modern climate across the whole Taymyr Peninsula, north-central Siberia (c. 64-80° N; 92-119° E). We find tree densities similar to observed forests in the northern to mid-treeline areas, but densities are overestimated in the southern parts of the simulated region. Finally, from a temperature-forcing experiment, we detect that the responses of tree stands lag the hypothetical warming by several decades, until the end of 21st century. With our simulation experiments we demonstrate that the newly-developed model captures the dynamics of the Siberian latitudinal treeline.
Related to:
Harris, Ian; Jones, Philip D; Osborn, Timothy J; Lister, David (2014): Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623-642, https://doi.org/10.1002/joc.3711
Coverage:
Latitude: 75.500000 * Longitude: 106.900000
Event(s):
Taymyr_peninsula * Latitude: 75.500000 * Longitude: 106.900000
Comment:
Stand densities and modeled population dynamics as trees per ha (mean and standard deviation for 10-30 simulation repeats) are interpolated over yearly mean temperatures and precipitation sums of years 1960-1990. Simulations were performed with the individual-based model LAVESI using weather data on the Taymyr Peninsula (63.75-79.75° N and 91.75-118.75° E at a 0.5° latitude and longitude resolution) from CRU TS 3.22 (Harris et al., 2014).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentHerzschuh, Ulrike
2File nameFile nameHerzschuh, Ulrike
3File formatFile formatHerzschuh, Ulrike
4File sizeFile sizekByteHerzschuh, Ulrikezipped
5Uniform resource locator/link to fileURL fileHerzschuh, Ulrike
Size:
20 data points

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