Eric R. Sokol 2016-10-20 tabular digitial data McMurdo Dry Valleys LTER McMurdo Dry Valleys LTER 10.6073/pasta/2e686e58243cd1e7a2fc4825e916bd2f https://mcm.lternet.edu/content/simulations-connecting-metacommunity-characteristics-and-biodiversity-patterns 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=04D4F5991887FA52B070088900C87D45.f04t01 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.  2015-08-01 ground condition As needed LTER Core Areas population dynamics None <cntorg>McMurdo Dry Valleys LTER</cntorg> <onlink>http://mcmlter.org/</onlink> <span property="dc:title" content="McMurdo Dry Valleys LTER" class="rdf-meta element-hidden"></span> Name: John "Jeb" E. Barrett Role: associated researcher Name: Bryan L Brown Role: associated researcher Not Applicable Not Applicable Field and/or Lab Methods 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 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=04D4F5991887FA52B070088900C87D45.f04t01The Metacommunities simulation code used is posted at http://doi.org/10.5281/zenodo.153999  unknown ESM_SIM_DATA_INPUT ESM_sim_data parameter settings used in metacommunity simulation (MCSim), definitions and labels. Scenario ID Scenario ID, an integer used as identifier to distinguish the simulation run or realization. The data provider Scenario ID, an integer used as identifier to distinguish the simulation run or realization. Probability of invasion nu - Metacommunity openness, probability of invasion by a novel taxon, a log uniform distribution The data provider .01 .00001 dimensionless Recruitment proportion from inmmigrants m - Metacommunity connectivity, proportion of recruitment events drawing from immigrant pool The data provider .001 .999 dimensionless Dispersal Slope w - Dispersal kernel slope, pooled from a log-uniform distribution The data provider 0 200 dimensionless sigma sigma - Niche-breadth, constant among all taxa in a simulation. Pooled from a log-uniform distribution The data provider 0.01 2 dimensionless alpha_Fisher alpha_Fisher - determines shape of the initial rank-abundance curve. Pooed from a uniform distribution The data provider 1 50 dimensionless n_sites n_sites - Number of patches in a metacommunity. Pooled from a log-uniform distro. The data provider 20 200 dimensionless s s - Scale of environmental heterogeneity, standardized rank PCNM eigenvector used to model spatial variation in E. Pooled from a uniform distribution The data provider 0 .988 dimensionless JM JM Metacommunity size (no. of individuals in a metacommunity at a single point in time). Value pooled from Log-uniform distribution The data provider 400 1000000 dimensionless McMurdo Dry Valleys LTER The data distributor shall not be liable for innacuracies in the content http 1 0 1 column , https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_INPUT.csv None ESM_SIM_DATA_OUTPUT ESM_sim_data_2. Biodiversity outcomes for 100 different simulated metacommunity (MCSim) scenarios -- Definitions, ranges, labels. Simulation ID Simulation ID - an alphanumeric identifier used to distinguish the simulation realization. The data provider Simulation ID - an alphanumeric identifier used to distinguish the simulation realization. Time Step Time Step used in simulation The data provider dimensionless Diversity Type Diversity Type The data provider dis.sat dissimilarity saturation The data provider varpart variation partitions The data provider divpart diversity partitions The data provider Metric Type Metric Type The data provider Metric Type Metric ID Metric ID The data provider Metric ID Metric Value Metric Value The data provider dimensionless McMurdo Dry Valleys LTER The data distributor shall not be liable for innacuracies in the content http 1 0 1 column , https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_OUTPUT.csv None ESM_SIM_DATA_ANN_UNPRUNNED 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. Diversity Metric ID Diversity Metric ID The data provider Diversity Metric ID Predictor Variable Predictor Variable The data provider Predictor Variable Predictor contribution to variation in response variable Predictor contribution to variation in response variable The data provider Predictor contribution to variation in response variable Contribution p value Contribution p value The data provider Contribution p value Predictor relative importance (RI) to variatino in response variable Predictor relative importance (RI) to variatino in response variable The data provider Predictor relative importance (RI) to variatino in response variable RI p value RI p value The data provider RI p value Keep predictor in pruned model? Keep predictor in pruned model? The data provider Keep predictor in pruned model? N permutations used to estimate p values N permutations used to estimate p values The data provider N permutations used to estimate p values McMurdo Dry Valleys LTER The data distributor shall not be liable for innacuracies in the content http 1 0 1 column , https://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_ANN_UNPRUNNED.csv None 2016-10-20 2016-10-20 McMurdo Dry Valleys LTER http://mcmlter.org/ Biological Data Profile of the Content Standards for Digital Geospatial Metadata devised by the Federal Geographic Data Committee. Drupal Ecological information Management Systems, version D7, Biological Data Profile module