Data underlying the article 'How nutrient retention and TN:TP ratios depend on ecosystem state in thousands of Chinese lakes'.

Here we share the data underlaying the publication 'How nutrient retention and TN:TP ratios depend on ecosystem state in thousands of Chinese lakes' https://doi.org/10.1016/j.scitotenv.2024.170690. In this study, we used data for analysis, models and R-scripts. The dataset contains data for the historic (2012) situation, and data for an economic-focused scenario and a sustainability-focused scenario for 2050. Raw input data originates from 1) Climate scenario variables: HydroLAKES (Messager et al., 2016) 2) Historic climate variables: https://doi.org/10.4121/13348004 3) Nutrient losses to land for the SSP scenarios: Wang et al. 2020 Model input and output data can be found in this database 1) Simulated climate variables: folder 1 2) Scenario specific parameter values: folder 1 3) PCLake+ model output: folder 3 R-scripts, as well as the used model (PCLake+), can be found in this database 1) R-script to run PCLake+: folder 2 and 6 2) R-script to process PCLake+ output data: folder 4 3) PCLake+ software: folder 5: GNU LESSER GENERAL PUBLIC LICENSE, Version 3, 29 June 2007 Data used for analysis can be found in this database 1) ProcessedData.cvs: folder 4

Bibliographic Details

Main Authors:	van Wijk, Dianneke, Janse, Jan H., Wang, Mengru, Kroeze, Carolien, Mooij, Wolf, Janssen, Annette
Format:	Dataset biblioteca
Published:	Wageningen University & Research
Subjects:	China, PCLake+, RCP, SSP,
Online Access:	https://research.wur.nl/en/datasets/data-underlying-the-article-how-nutrient-retention-and-tntp-ratio
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