Data Management Plan for the California LCC project:

The Environmental Change Network

Table of Contents
Data Input - New Collections
      (nothing in this category)

Data Input - Existing Collections
      (nothing in this category)

Data Output - Product or Deliverables
  1   ECN Website
  2   Bird Community Turnover
  3   Current and Projected Vegetation
  4   Bird Species Richness Response to Climate Change
  5   Bird Distribution Responses to Climate Change
  6   Magnitude of Climate Change
  7   Conservation Prioritization for California Landbirds

Not Data - non-data Products
  1   ECN Business Plan

Data Output - Product or Deliverables
1ECN Website
Deliverable TypeWebsite
DescriptionThis website provides information on the project's effort to establish a network of environmental monitoring stations within the boundaries of the California LCC. Users of this web portal can view predicted distributional changes in landbird, habitat, and climate under future climate conditions and find out general information on the progress and evolution of the network.
Access and SharingPublic
RestrictionsNone
Archive OrganizationsWebsite is served on the Point Blue servers.
Contactsveloz@pointblue.org
Commons Cataloged Web ResourceCalifornia Environmental Change Network

2Bird Community Turnover
Deliverable TypeDatasets / Database
DescriptionBird community turnover for current and future climate (GFDL) based on maxent models for 198 land bird species.
Contactsveloz@pointblue.org
Commons Cataloged DatasetBird Community Turnover

3Current and Projected Vegetation
Deliverable TypeDatasets / Database
DescriptionThe 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 (changes in these under the different climate projections drive the new classification), three soils variables, and two topographic variables. More details on the classification and modeling process are available in Stralberg et al. 2009.
Access and SharingPublic
RestrictionsNone
Archive OrganizationsCommons Platinum Services
Contactsvelox@pointblue.org
Commons Cataloged DatasetCurrent and Projected Vegetation

4Bird Species Richness Response to Climate Change
Deliverable TypeDatasets / Database
DescriptionSpecies 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.
Access and SharingPublic
RestrictionsNone
Archive OrganizationsCommons Platinum Services
Contactsveloz@pointblue.org
Commons Cataloged DatasetBird Species Richness Response to Climate Change

5Bird Distribution Responses to Climate Change
Deliverable TypeDatasets / Database
DescriptionThe 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, the higher the suitability (Phillips and Dudik 2008). Because bird distributions are greatly affected by the availability of suitable habitat, we used general vegetation type as an input to our bird models. We used the Random Forest (Breiman 2001) modeling technique to develop models and generate future projections of vegetation. We modeled 199 different species and subspecies of birds using two different climate models (GFDL CM2.1 and NCAR CCSM3.0). These species can be selected from seven different habitat types.
Access and SharingPublic
RestrictionsNone
Archive OrganizationsCommons Platinum Services
Contactsveloz@pontblue.org
Commons Cataloged DatasetBird Distribution Responses to Climate Change

6Magnitude of Climate Change
Deliverable TypeDatasets / Database
DescriptionThese 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.
Access and SharingPublic
RestrictionsNone
Archive OrganizationsCommons Platinum Services
Contactsveloz@pointblue.org
Commons Cataloged DatasetMagnitude of Climate Change

7Conservation Prioritization for California Landbirds
Deliverable TypeDatasets / Database
DescriptionZonation 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" conditions (recent historic 1970-2000), for a "future" projected climate (2038-2070 under using two GCMs and the A2 emission scenario), and for a combination of current and future conditions.
Contactsveloz@pointblue.org
Commons Cataloged DatasetConservation Prioritization for California Landbirds

Not Data - non-data Products
1ECN Business Plan
DescriptionThis business plan provides the rationale for developing an Environmental Change Network for the California Landscape Conservation Cooperative. This plan will illustrate important potential uses of the network and its data and show how these uses will increase the efficiency and efficacy of adaptation planning and implementation efforts. We will demonstrate how the value of the network will be greater if implemented sooner. We also show how the proposed network will integrate with larger scale efforts currently ongoing at the national level and how it can also inform smaller scale efforts at local levels. The specific objectives of this business plan are to: • Provide a rational for the further development and implementation of a CA ECN • Provide a general implementation framework • Assist potential sponsoring and collaborating organizations in making decisions about their support for CA ECN Some elements will require further consideration and negotiation, but this plan provides sufficient information to proceed to initiate fundraising and discussions of technical specification needed for implementation.
Access and SharingInternal to the LCC.
RestrictionsThis is a draft, not for distribution.
CitationThe California Environmental Change Network Business Plan and Strategy Prepared by: Sam Veloz, Thomas Gardali, Deanne DiPietro, Nadav Nur, Grant Ballard PRBO Conservation Science, 3820 Cypress Drive #11, Petaluma, CA 94954

This Data Management Plan structure is based on recommendations from the Data Management Plan Guidance document from the National Climate Change and Wildlife Science Center