ESM English utf8 dataset McMurdo Dry Valleys LTER http://mcmlter.org/ 2016-10-20 ISO 19115-2 Geographic Information - North American Profile Metadata - Data with Biological Extensions ISO 19115-2:2009(E) Simulations connecting metacommunity characteristics and biodiversity patterns 2016-10-20 publication Eric Sokol National Ecological Observatory Network (NEON) https://www.neonscience.org/ sokole@gmail.com http://sokole.blogspot.com/ pointOfContact documentDigital The data and model described here with the purpose of understanding controls over biodiversity. A multi-scale approach to understand how local and regional factors affect the community assembly processes that drive emergent patterns. These data allows us to examin a wide range of parameter settings representing ecologically relevant scenarios. We used artificial neural networks (ANNs) to assess the sensitivity of diversity and variation partitioning metrics (calculated from simulation outcomes) to metacommunity parameter settings. Here you will find metadata details,  dor detailed information about the simulations results and conclusions, please visit the associated publication at http://onlinelibrary.wiley.com/doi/10.1111/oik.03690/abstract;jsessionid... Name: John "Jeb" E. Barrett Role: associated researcher Name: Bryan L Brown Role: associated researcher completed McMurdo Dry Valleys LTER http://mcmlter.org/ population dynamics theme LTER Core Areas English 2015-08-01 This simulation is atemporal and non-localized.  There is no physical geo-location or calendar time frame or specific season.  However, simulations were performed in Aug 2016.  https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_INPUT.csv ESM_SIM_DATA_INPUT eng; US McMurdo Dry Valleys LTER ESM_SIM_DATA_INPUT Data Source Definition : ESM_sim_data parameter settings used in metacommunity simulation (MCSim), definitions and labels. Number of Header Lines : 1 Orientation : Column Field Delimiter : , false Scenario ID Scenario ID, an integer used as identifier to distinguish the simulation run or realization. nu nu - Metacommunity openness, probability of invasion by a novel taxon, a log uniform distribution m m - Metacommunity connectivity, proportion of recruitment events drawing from immigrant pool w w - Dispersal kernel slope, pooled from a log-uniform distribution sigma sigma - Niche-breadth, constant among all taxa in a simulation. Pooled from a log-uniform distribution alpha_Fisher alpha_Fisher - determines shape of the initial rank-abundance curve. Pooed from a uniform distribution n_sites n_sites - Number of patches in a metacommunity. Pooled from a log-uniform distro. s s - Scale of environmental heterogeneity, standardized rank PCNM eigenvector used to model spatial variation in E. Pooled from a uniform distribution JM JM Metacommunity size (no. of individuals in a metacommunity at a single point in time). Value pooled from Log-uniform distribution DBF https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_INPUT.csv https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_OUTPUT.csv ESM_SIM_DATA_OUTPUT eng; US McMurdo Dry Valleys LTER ESM_SIM_DATA_OUTPUT Data Source Definition : ESM_sim_data_2. Biodiversity outcomes for 100 different simulated metacommunity (MCSim) scenarios -- Definitions, ranges, labels. Number of Header Lines : 1 Orientation : Column Field Delimiter : , false Simulation ID Simulation ID - an alphanumeric identifier used to distinguish the simulation realization. Time Step Time Step used in simulation Diversity Type Diversity Type dis.sat dissimilarity saturation varpart variation partitions divpart diversity partitions Metric Type Metric Type Metric ID Metric ID Metric Value Metric Value DBF https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_OUTPUT.csv https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_ANN_UNPRUNNED.csv ESM_SIM_DATA_ANN_UNPRUNNED eng; US McMurdo Dry Valleys LTER ESM_SIM_DATA_ANN_UNPRUNNED Data Source Definition : ESM_sim_data_3. Estimates of contribution of MCSim parameters to variation in biodiversity metrics based on contribution statistics from artificial neural networks (ANNs) trained and validated on simulated metacommunity outcomes. Number of Header Lines : 1 Orientation : Column Field Delimiter : , false Diversity Metric ID Diversity Metric ID Predictor Variable Predictor Variable Predictor contribution to variation in response variable Predictor contribution to variation in response variable Contribution p value Contribution p value Predictor relative importance (RI) to variatino in response variable Predictor relative importance (RI) to variatino in response variable RI p value RI p value Keep predictor in pruned model? Keep predictor in pruned model? N permutations used to estimate p values N permutations used to estimate p values DBF https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_ANN_UNPRUNNED.csv dataset Methods, code description and heuristics are posted in the appendix of the associated publication at http://onlinelibrary.wiley.com/doi/10.1111/oik.03690/abstract;jsessionid... The Metacommunities simulation code used is posted at http://doi.org/10.5281/zenodo.153999 Metadata Access Constraints: none Metadata Use Constraints: none annually McMurdo Dry Valleys LTER http://mcmlter.org/ pointOfContact