SRCarpen's repositories
Demo_DynamicLinearModels
R programs demonstrating use of Dynamic Linear Models
ATZ_Cascade
Algae-TerrOC-Zoop modeling for cascade project
CoreMixingCompressionModel
Model for deposition, mixing, and compression of lake sediments to form a paleolimnological record
Yahara2070_WQ_Results_Scenarios
Results of Yahara2070 Scenarios for water quality, from the Yahara water quality model
Yahara2070LakeModel_Fits2data
Model for lake water quality of Yahara lakes, and results of Yahara2070 scenarios
Bootstrap_ExitTime_Example
Bootstrap mean exit time for Peter Lake high-frequency data 2013-2015
Chl_DOC_Grazer_Model_Feb2022
Chlorophyll response to DOC & grazers: fits to data & stability analysis
Chl_Resilience_DOC_P_Zoop
Draft: Model of Chlorophyll Resilience to P Load as affected by DOC and grazers
DDJ_Mendota_2019-2021
These R scripts were written for the manuscript “Stochastic dynamics in years of contrasting phosphorus load” by S.R. Carpenter and W.A. Brock. That manuscript explains the methods and cites the original literature that introduced the methods. Correspondence: srcarpen@wisc.edu
Exit-SurvivalTime_Aug2021
R scripts for exit and survival times, Peter & Tuesday lakes
Exit_Time_R
R script to demonstrate the calculation of exit time for a time series or model that exhibits alternate states
ExitTime_MeshMethod_PeterLakeExample
Example of R scripts using a mesh method to calculate exit time from observed time series data
LakeYears_for_Zmix_Model
To construct Fig. 3 of the Main text we needed to estimate thermocline depth from DOC and daily P load rate. We regressed Zmix (thermocline depth in m) versus DOC (mg L-1), P load rate (mg P m-2 d-1), and square root of lake area (m), an index of average fetch using data from Paul, Peter, and Tuesday lakes as well as 5 neighboring lakes we studied in previous years (Carpenter and Pace 2018): Crampton, East Long, Hummingbird, Ward, and West Long. We analyzed means of Zmix, DOC, and P load for dates between 15 July and 15 August in each available for each lake. We used these late-summer dates to minimize effects of seasonality and transients of manipulations.
MAR_by_DLM
Multivariate autoregression, with or without intercept, by Bayesian DLM
MendotaExtremes1_Plots-CCFs
Daily Data & R scripts for plots and CCFs from study of multi-year extremes for Lake Mendota
MendotaExtremes2_ParetoModels
Data files and R scripts for Pareto Models used to analyze multi-year extremes in Lake Mendota
MendotaExtremes3_ReturnIntervalModels
R scripts and data for return interval models used to analyze multi-year extremes of Lake Mendota
MendotaExtremes4_Compare2019-2021
Compare meteorology, phosphorus load, and surface water temperature for Lake Mendota 2019-2021
MendotaExtremes5_MeanExitTime_Bootstrap
Data file, R scripts, intermediate files, and ReadMe for calculating mean exit time & bootstrap uncertainties, Lake Mendota phycocyanin 2019-2021
Motew_etal_2017_Ecosystems_Soil-Channel_Pexperiment
Direct Drainage loads to Lake P model, Model scripts, and Water Quality results
NorthernHighlandFutures
Text and illustrations of Northern Highland Scenarios, approx 2000-2002
Peter-Tuesday_2003-2012
Data and R script for comparing DOC, TP, TN of Peter and Tuesday lakes during unenriched years 2003-2012
PNAS2005_w_correx
PNAS 2005 paper with notation errors corrected
Yahara2070_THMB_scenarios
Scenarios results from THMB for input to the Yahara Water Quality model