Dataset Information

Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.

ABSTRACT: Metapop is a stochastic individual-based simulation program. It uses quantitative genetics theory to produce an explicit description of the typical life cycle of monoecious and hermaphroditic plant species. Genome structure, the relationship between genotype and phenotype, and the effects of landscape heterogeneity on each individual can be finely parameterized by the user. Unlike most existing simulation packages, Metapop can simulate phenotypic plasticity, which may have a genetic component, and assortative mating, two important features of tree species. Each simulation is parameterized through text files, and raw data are generated recurrently, describing the allelic state of each quantitative trait locus involved in phenotypic variability. The data can be generated in Genepop or Fstat format, and may thus be analysed with other existing packages. Metapop also automatically computes a range of populations statistics, enabling the user to monitor evolutionary dynamics directly, from gene to metapopulation level.

SUBMITTER: Soularue JP

PROVIDER: S-EPMC6469578 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.

Soularue Jean-Paul JP Thöni Armel A Arnoux Léo L Le Corre Valérie V Kremer Antoine A

Molecular Ecology Resources. 20181204 1

Metapop is a stochastic individual-based simulation program. It uses quantitative genetics theory to produce an explicit description of the typical life cycle of monoecious and hermaphroditic plant species. Genome structure, the relationship between genotype and phenotype, and the effects of landscape heterogeneity on each individual can be finely parameterized by the user. Unlike most existing simulation packages, Metapop can simulate phenotypic plasticity, which may have a genetic component, a ...[more]

PMID: 30362291

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Project description:Natural disturbance regimes are changing substantially in forests around the globe. However, large-scale disturbance change is modulated by a considerable spatiotemporal variation within biomes. This variation remains incompletely understood particularly in the temperate forests of Europe, for which consistent large-scale disturbance information is lacking. Here, our aim was to quantify the spatiotemporal patterns of forest disturbances across temperate forest landscapes in Europe using remote sensing data and determine their underlying drivers. Specifically, we tested two hypotheses: (1) Topography determines the spatial patterns of disturbance, and (2) climatic extremes synchronize natural disturbances across the biome. We used novel Landsat-based maps of forest disturbances 1986-2016 in combination with landscape analysis to compare spatial disturbance patterns across five unmanaged forest landscapes with varying topographic complexity. Furthermore, we analyzed annual estimates of disturbances for synchronies and tested the influence of climatic extremes on temporal disturbance patterns. Spatial variation in disturbance patterns was substantial across temperate forest landscapes. With increasing topographic complexity, natural disturbance patches were smaller, more complex in shape, more dispersed, and affected a smaller portion of the landscape. Temporal disturbance patterns, however, were strongly synchronized across all landscapes, with three distinct waves of high disturbance activity between 1986 and 2016. All three waves followed years of pronounced drought and high peak wind speeds. Natural disturbances in temperate forest landscapes of Europe are thus spatially diverse but temporally synchronized. We conclude that the ecological effect of natural disturbances (i.e., whether they are homogenizing a landscape or increasing its heterogeneity) is strongly determined by the topographic template. Furthermore, as the strong biome-wide synchronization of disturbances was closely linked to climatic extremes, large-scale disturbance episodes are likely in Europe's temperate forests under climate changes.

Dataset Information

Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.

Publications

Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.

Similar Datasets

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