Drivers of large-scale spatial demographic variation in a perennial plant

Author:

Römer GesaORCID,Christiansen Ditte M.,de Buhr Hendrik,Hylander KristofferORCID,Jones Owen R.ORCID,Merinero SoniaORCID,Reitzel KasperORCID,Ehrlén Johan,Dahlgren Johan P.ORCID

Abstract

AbstractTo understand how the environment drives spatial variation in population dynamics, we need to assess the effects of a large number of potential drivers on the vital rates (survival, growth and reproduction), and explore these relationships over large geographical areas and long environmental gradients. In this study, we examined the effects of a broad variety of abiotic and biotic environmental factors, including intraspecific density, on the demography of the forest understory herb Actaea spicata between 2017 and 2019 at 40 sites across Sweden, including the northern range margin of its distribution. We assessed the effect of potential environmental drivers on vital rates using generalized linear mixed models (GLMMs), and then quantified the impact of each important driver on population growth rate (λ) using integral projection models (IPMs). Population dynamics of A. spicata were mostly driven by environmental factors affecting survival and growth, such as air humidity, soil depth and forest tree species composition, and thus those drivers jointly determined the realized niche of the species. Soil pH had a strong effect on the flowering probability, while the effect on population growth rate was relatively small. In addition to identifying specific drivers for A. spicata’s population dynamics, our study illustrates the impact that spatial variation in environmental conditions can have on λ. Assessing the effects of a broad range of potential drivers, as done in this study, is important not only to quantify the relative importance of different drivers for population dynamics but also to understand species distributions and abundance patterns.

Publisher

Cold Spring Harbor Laboratory

Reference63 articles.

1. Anderberg A. , and Anderberg A.-L. 2017. Den virtuella floran. Naturhistoriska riksmuseet. http://linnaeus.nrm.se/flora/ (February 03, 2020).

2. Relative Humidity or Vapor Pressure Deficit

3. Ecology. How does climate change affect biodiversity?;Science (New York, N.Y.),2006

4. Bates, D. , M. Mächler , B. Bolker , and S. Walker . 2015. Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software 67.

5. Beckschäfer, P. 2015. Hemispherical_2.0 – Batch processing hemispherical and canopy photographs with ImageJ – User Manual. Chair of Forest Inventory and Remote Sensing, Georg-August-Universität Göttingen, Germany.

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