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Filters: Tags: geographicDataset (X) > partyWithName: California LCC Data Manager (X) > partyWithName: Tom Gardali (X)

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Environmental Change Network: Current and Future Zonation PrioritizationZonation is a spatial conservation planning software tool that can take into account multiple species to create a hierarchical prioritization of the landscape. This is in contrast to other spatial conservation planning tools which may require predefined conservation targets or areas. Here, we used 199 California landbirds along with Zonation’s “core-area” algorithm to prioritize the California landscape. Species were weighted according to the California Bird Species of Special Concern criteria and probability of occurrence was discounted by distribution model and climate model uncertainty surfaces.The dataset provides priority areas for “current”...
Bird community turnover for current and future climate (GFDL) based on maxent models for 198 land bird species.
These maps display the magnitude of projected future climate change in relation to the interannual variability in late 20th century CA climate. The maps show the standardized Euclidean distance between the late 20th century climate at each pixel and the future climate at each pixel. The standardization puts all of the climate variables included on the same scale and down weights changes in future climate which have had large year to year variation historically. Warmer colors indicate greater climate change and cooler colors indicate less extreme climate change.
Full Title: Environmental Change Network: Current and Projected VegetationThe current vegetation layer is derived from the vegetation map developed as part of the California Gap Analysis project. The derivation takes the California Wildlife Habitat Relationships (CWHR) habitat classification provided in the California Gap Analysis layer, generalizes the classes to a set of broader habitat types, and rasterizes it at 800 meter resolution.The future vegetation layers for both the GFDL and CCSM GCM models are derived using a random forest model of the vegetation classification. The original CWHR classification has been generalized to 12 classes for ease in modeling. Inputs to the model include eight bioclimatic variables...
The development of sophisticated species distribution modeling techniques provides an opportunity to examine the potential effects of climate change on bird communities. Using these modeling approaches, we are relating bird data to environmental layers to generate robust predictions of current (1971–2000) and projected future species occurrence. Future bird distributions are based on regional climate model projections for the periods 2038–2070 (IPCC Scenario A2). Bird species distributions were created using the Maxent modeling technique: Maxent (Phillips et al. 2006), which is able to model non-linear responses to environmental variables. Map values represent the predicted habitat suitability; the higher the values,...
Species richness indicates the number of different species predicted to be able to occur at a location. Maps show the projected species richness under current climate and two models of future climate conditions. Species richness is calculated by converting the predictions from maxent models into binary maps of presence and absence and summing the maps across all species. Higher values in the maps indicate where more bird species are projected to be able to occur.