Readme_ZAPMM_Parameter_Sweep.txt --------------------------------------------------------- EXECUTIVE SUMMARY --------------------------------------------------------- This file contains output from the Zimbabwe Agro-Pastoral Management Model (ZAPMM), an agent-based model written in NetLogo (version 5.2.1) and archived on ComSES.net at: https://doi.org/10.25937/ta23-sn46 with additional information at https://github.com/mveitzel/ZAPMM This model has been created with and for the researcher-farmers of the Muonde Trust (http://www.muonde.org/), a registered Zimbabwean non-governmental organization dedicated to fostering Indigenous innovation. Model behaviors and parameters (mashandiro nemisiyano nedzimwe model) derive from a combination of literature review and the collected datasets from Muonde’s long-term (over 30 years) community-based research. The goals of this model are three-fold (muzvikamu zvitatu): A) To represent three components of a Zimbabwean agro-pastoral system (crops, woodland grazing area, and livestock) along with their key interactions and feedbacks and some of the human management decisions that may affect these components and their interactions. B) To assess how climate variation (implemented in several different ways) and human management may affect the sustainability of the system as measured by the continued provisioning of crops, livestock, and woodland grazing area. C) To provide a discussion tool for the community and local leaders to explore different management strategies for the agro-pastoral system (hwaro/nzira yekudyidzana kwavanhu, zvipfuo nezvirimwa), particularly in the face of climate change. The results in this dataset were generated using the BehaviorSpace functionality in NetLogo, running headless on a high-performance computing cluster (499,200 runs). The dataset includes model output variables summarized for each model run as well as input values for management variables, underlying parameters, and rainfall models for those runs. "Run ID" is a unique identification number appended by NetLogo's "BehaviorSpace" functionality which was used to generate these results. All other variables correspond to definitions in the model code and Overview, Design, and Details documentation, which is available on CoMSES.net. A detailed description of the model and its variables (including units of measurement where applicable) is also available in Eitzel et al. (2020) at DOI: 10.1371/journal.pone.0237638 The paper also includes as a supplement the R code used to create the figures from this dataset. The first author can be contacted at mveitzel@ucsc.edu. --------------------------------------------------------- VARIABLE DESCRIPTIONS --------------------------------------------------------- ---The following variables are input variables for model runs in this parameter sweep, specified in the BehaviorSpace: times-per-day-farmers-move-cows (0 or 1) invincible-fences (true/false) key-resources (0 or 10) subsidy (feed, transport, or no) cow-proportion-to-save (0, 0.7, or 1.0) rainfall-type (constant, historical, random, statistical-random, extreme, statistical-extreme) muonde-projects (0 or 10) rain-site (Average) how-long-to-store-grain (0 or 3) clumpiness (0.00, 0.22, 0.54, 0.85, 0.95, or 1.00) ---The following variables are perturbed by +/- 5% of their nominal value for sensitivity analysis: total-mud-crop-perimeter wood-to-build-fence-per-meter termite-activity hours-to-plough-ha crop-growth-slope zero-crop-growth-intercept cow-maintenance-energy-rate cow-working-energy-per-hour kcal-per-kg-of-browse kcal-per-kg-of-crop kcal-per-kg-of-cow production-efficiency catabolism-efficiency min-cow-mass max-cow-mass calf-birth-mass livestock-not-reproduction-rate-per-year ---These two variables were perturbed by +/- 10% of their nominal value for sensitivity analysis: muonde-efficiency woodland-growth-slope ---The following spatial indices are calculated after crop spatial configuration is created using the 'clumpiness' variable: morans-i gearys-c total-crop-perimeter average-contiguous-crop-cluster-size ---This variable is randomized between 1 and 99 before the model run begins: proportion-crops ---These variables were used for debugging to assess whether some parameter combinations resulted in much longer setup or run times than others: model-setup-time final-year-timer ---These variables represent the biologically minimal number of cows, amount of harvest, and woodland biomass for the system to be 'sustainable' (see ODD and Eitzel et al. 2020 for details); model runs were stopped when one of these quantities fell below its minimum threshold: min-cows-threshold (2 cows) min-harvest-threshold (0.06 metric tons) min-woodland-threshold (0.02 metric tons) ---These are the output values of the model, used to generate the figures and results in Eitzel et al. 2020: min-cow-count mean-cow-count max-cow-count min-harvest mean-harvest max-harvest total-harvest (an accumulation of harvest over the course of the model run) min-woodland-biomass mean-woodland-biomass max-woodland-biomass max-percent-crop-eaten (this value is not used) actual-cow-repro-rate (this value is not used) crop-eaten-per-half-hour-per-cow (this variable can contain missing or NA values for models in which a cow could never eat crops) subsidy-used (this variable contains values in which a cow was never subsidized) ---These variables were used to create the variable indicating whether a given model run was sustainable: end-year (the year one of the variables reached one of the minima, or 60 if it ran the entire time) termination-reason (cow threshold, harvest threshold, woodland threshold, or end of simulation if the model ran all 60 model years without reaching any of the minimum thresholds)