University of Oulu

Benito X, Vilmi A, Luethje M, Carrevedo ML, Lindholm M and Fritz SC (2020) Spatial and Temporal Ecological Uniqueness of Andean Diatom Communities Are Correlated With Climate, Geodiversity and Long-Term Limnological Change. Front. Ecol. Evol. 8:260. doi: 10.3389/fevo.2020.00260

Spatial and temporal ecological uniqueness of Andean diatom communities are correlated with climate, geodiversity and long-term limnological change

Saved in:
Author: Benito, Xavier1; Vilmi, Annika2; Luethje, Melina3;
Organizations: 1National Socio-Environmental Synthesis Center (SESYNC), University of Maryland, Annapolis, MD, United States
2Freshwater Centre, Finnish Environment Institute, Oulu, Finland
3Deaprtment of Earth and Atmospheric Sciences, University of Nebraska System, Lincoln, NE, United States
4Institute of Ecology and Biodiversity, Faculty of Science, University of Chile, Santiago, Chile
5Geography Research Unit, Faculty of Science, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020100678150
Language: English
Published: Frontiers Media, 2020
Publish Date: 2020-10-06
Description:

Abstract

High-elevation tropical lakes are excellent sentinels of global change impacts, such as climate warming, land-use change, and atmospheric deposition. These effects are often correlated with temporal and spatial beta diversity patterns, with some local communities contributing more than others, a phenomenon known as local contribution to beta diversity (LCBD) or ecological uniqueness. Microorganisms, such as diatoms, are considered whole-ecosystem indicators, but little is known about their sensitivity and specificity in beta diversity studies mostly because of the lack of large spatial and temporal datasets. To fill this gap, we used a tropical South American diatom database comprising modern (144 lakes) and paleolimnological (6 sediment cores) observations to quantify drivers of spatial and temporal beta diversity and evaluated implications for environmental change and regional biodiversity. We used methods of beta diversity partitioning (replacement and richness components) by determining contributions of local sites to these components (LCBDrepl and LCBDrich), and studied how they are related to environmental, geological, and historical human variables using Generalized Additive Models (GAM). Beta replacement time series were also analyzed with GAM to test whether there is widespread biotic homogenization across the tropical Andes. Modern lake ecological uniqueness was jointly explained by limnological (pH), climatic (mean annual precipitation), and historical human density. Local lake (conductivity) and regional geodiversity variables (terrain ruggedness, soil variability) were inversely correlated to replacement and richness components of LCBD, suggesting that not all lakes contributing to broad-scale diversity are targets for conservation actions. Over millennial time scales, decomposing temporal trends of beta diversity components showed different trajectories of lake diatom diversity as response of environmental change: i) increased hydroclimatic variability (as inferred by decreased temperature seasonality) mediating higher contribution of richness to local beta diversity patterns ca. 1000 years ago in Ecuador Andean lakes and ii) lake-specific temporal beta diversity trends for the last ca. 200 years, indicating that biotic homogenization is not widespread across the tropical Andes. Our approach for unifying diatom ecology, metacommunity, and paleolimnology can facilitate the understanding of future responses of tropical Andean lakes to global change impacts.

see all

Series: Frontiers in ecology and evolution
ISSN: 2296-701X
ISSN-E: 2296-701X
ISSN-L: 2296-701X
Volume: 8
Article number: 260
DOI: 10.3389/fevo.2020.00260
OADOI: https://oadoi.org/10.3389/fevo.2020.00260
Type of Publication: A1 Journal article – refereed
Field of Science: 1181 Ecology, evolutionary biology
1172 Environmental sciences
Subjects:
GAM
Dataset Reference: The Supplementary Material for this article can be found online at:
  https://www.frontiersin.org/articles/10.3389/fevo.2020.00260/full#supplementary-material
Copyright information: © 2020 Benito, Vilmi, Luethje, Carrevedo, Lindholm and Fritz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
  https://creativecommons.org/licenses/by/4.0/