Environmental, phytoplankton, zooplankton and fish community data from Swedish lakes for food web analysis

This dataset compiles environmental and biological measurements from lakes distributed along a latitudinal gradient across Sweden. Data on water chemistry, phytoplankton, and zooplankton were sourced from the Miljödata MVM database. Information on lake physical characteristics, Secchi depth, and fish was obtained from the Swedish National Register of Survey Test-Fishing (NORS). Modelled air temperature and irradiance data were acquired from the Swedish Meteorological and Hydrological Institute (SMHI). Community data in phytoplankton and fish were used to run Detrended Correspondence Analyses (DCA) to test differences in community composition in each lake. Lake physical properties, Secchi depth, and irradiance were used to model the ratio of benthic to whole-lake gross primary production (BP ratio) for each lake, using the approach described in Norman et al. (2022; Table A2). This dataset enables analyses of aquatic food web biomass distributions in relation to spatial and temporal ..., , # Environmental, phytoplankton, zooplankton and fish community data from Swedish lakes for food web analysis

This dataset supports the findings of the paper *\"Warmer Lakes Support Phytoplankton Over Fish\"* by Mooney *et al*. It includes ecological and environmental data collected from Swedish lakes for spatial and temporal analyses of lake food webs and primary production across a gradient of temperature.

The data are divided into spatial analysis data (average values per lake from all samples taken between 2004-2023) and trend lake analysis (mean values per lake per year from 10 intensively monitored Swedish lakes).

Data for Spatial Analysis:

* phyto_air.xlsx
* fish_air.xlsx
* FP_air.xlsx

Data for Trend Lake Analysis:

* trend_phyto.xlsx
* trend_zoo.xlsx
* trend_fish.xlsx
* trend_ZP.xlsx
* trend_FZ.xlsx
* trend_FP.xlsx

The data frames contain the following variables:

| Column name                      | Description
|-----------------------|------------------------------...,