Data from: Nonlinearities in phytoplankton groups across temperate high mountain lakes
Data files
Jan 11, 2024 version files 23.07 KB
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PGMCHEMTAX-JEcol2023.xlsx
21.04 KB
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README.md
2.03 KB
Jan 12, 2024 version files 23.07 KB
Abstract
1-High mountain lakes are increasingly recognized as sentinel ecosystems of global change. Monitoring phytoplankton changes or reconstructing their composition from sedimentary records can help identify systemic changes in these lakes and their catchments. 2- This study aimed to evaluate the distribution of the major phytoplankton groups in high mountain lakes across environmental gradients and identify tipping points in relative dominance. The phytoplankton groups were estimated using pigment-based chemotaxonomy in 79 lakes in the Pyrenees selected to cover the bedrock and elevation gradients. Fifty-four environment variables were considered, including in-lake and catchment descriptors. 3-Redundancy analyses showed that in-lake descriptors override the explicative capacity of landscape variables. Generalized additive models and multivariate regression trees showed that water hardness, trophic state, and food web descriptors were, in this order, the most influential factors determining phytoplankton group dominance. Calcium concentration of about 200 μeq L-1 defined the threshold between soft waters – with chrysophytes and chlorophytes showing a higher affinity for them – and harder waters that favour diatoms and cyanobacteria. Across the trophic gradient, there was a threshold at ~5 μg L-1 of total phosphorus (TP), chrysophytes being dominant below that TP value and cryptophytes above. The dominance of chlorophytes and cryptophytes increased with the density of macrozooplankton. Chrysophytes were significantly lower and diatoms higher in lakes with fish. 4- Synthesis. The relative abundance of phytoplankton groups in temperate high mountain lakes responds in a nonlinear way to the hardness of the water in the range 20 – 1195 Ca2+ μeq L-1 and the trophic state in the range 0.94 - 19 μg L TP-1. The thresholds across water hardness and trophic state gradients coincide with studies based on other organisms, pointing to a robust typology for mountain lakes that should be considered when selecting global-change sentinel lakes and anticipating abrupt transitions across these thresholds.
README: Nonlinearities in phytoplankton groups across temperate high mountain lakes
https://doi.org/10.5061/dryad.xpnvx0kns
The data file contains the phytoplankton group distribution estimated using pigment-based chemotaxonomy across 82 lakes of the Pyrenees selected to cover the bedrock and elevation gradients.
Description of the data and file structure
The file PGMCHEMTAX-JEcol2023.xlsx contains a first raw with the variable names (19), followed by 79 raws with the data in columns. The variable names are self-descriptive, although we include a more detailed description below. There are no missing values; zeros (0) correspond to values below the detection limit of the method.
Variables
Lake_name: Lake name, which may differ depending on the cartographic reference used.
Latitude_N: Latitude, North
Longitude_E: Longitude, East
Altitude_m: Elevation, meters above sea level.
EMERGE_lake_code: Lake code used in the European project EMERGE.
Lake_ID: Lake identification number used in Buchaca & Catalan (2024), Journal of Ecology.
Chlorophytes_nmol_Chla/L: Chlorophyte biomass as concentration of chlorophyll-a, nmol per liter.
Chrysophytes_nmol_Chla/L: Chrysophyte biomass as concentration of chlorophyll-a, nmol per liter.
Cryptophytes_nmol_Chla/L: Cryptophyte biomass as concentration of chlorophyll-a, nmol per liter.
Diatoms_nmol_Chla/L: Diatom biomass as concentration of chlorophyll-a, nmol per liter.
Dinoflagellates_nmol_Chla/L: Dinoflagellate biomass as concentration of chlorophyll-a, nmol per liter.
Cyanobacteria_nmol_Chla/L: Cyanobacteria biomass as concentration of chlorophyll-a, nmol per liter.
Total_Chla_nmol/L: Total chlorophyll concentration in the sample, nmol per liter.
Chlorophytes_%: Total biomass chlorophyte percentage
Chrysophytes_%: Total biomass chrysophyte percentage
Cryptophytes_%: Total biomass cryptophyte percentage
Diatoms_%: Total biomass diatom percentage
Dinoflagellates_%: Total biomass dinoflagellate percentage
Cyanobacteria_%: Total biomass cyanobacteria percentage