Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix
Authored by Florian Jeltsch, Stefan Kruse, Mareike Wieczorek, Ulrike Herzschuh
Date Published: 2016
DOI: 10.1016/j.ecolmodel.2016.08.003
Sponsors:
No sponsors listed
Platforms:
C++
Model Documentation:
ODD
Mathematical description
Model Code URLs:
Model code not found
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
Larixgmelinii (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 degrees N;
92-119 degrees 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. (C) 2016 Elsevier B.V. All rights reserved.
Tags
Seed dispersal
Environmental-change
Global vegetation model
Spatial-patterns
Field-measurements
Ecosystem dynamics
Arctic vegetation
Permafrost
region
Plant geography
Boreal forest