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Conservation Strategies for Agricultural Landscapes: The Yolo Natural Heritage Program NCCP/HCP Presented to the Seventh Annual Workshop on Habitat Conservation Planning From Tahoe to the Bay Daniel Airola Airola Environmental Consulting/SAIC November 18, 2009
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Yolo Natural Heritage Program- Key Elements County-wide HCP/NCCP 654,000 acres 50 year permit Goals Conserve natural heritage Support viability of the agricultural economy Promote smart, sensible economic growth Protect natural areas and features Preserve open space areas and enhance recreation A Conservation Plan, not just a mitigation plan
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Yolo NHP Covered Activities Wide range of Covered Activities addressed Development under General Plans only 3-5% of land area Utilities, transportation, flood control, water supply, parks new facilities operations and maintenance Agriculture ongoing activities limited conversion of natural habitats
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Yolo County Agriculture Engaging farmers is critical to the conservation strategy The County’s primary economic activity Cultivated agric = 360,000 ac 56% of total land area Highly diverse mix of agricultural crops Farmlands provide important habitat value 21 of 65 covered species
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Value of Crops to Covered Wildlife
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HCP Coverage Needs for Agriculture Incidental mortality and injury to species Habitat change Marketing benefit of conservation (“Certified”)
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Yolo Agricultural Landscape is Dynamic Shorter term changes Annual condition changes - prepping, cultivating, growing, harvesting Crop rotations among years Water availability Potential longer term changes: Crop economics Water sales Development Climate change
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Process for Incorporating Agricultural Species Conservation into the NHP Describe agricultural habitats Describe species relationships to habitats Identify habitat goals for species Evaluate contributions to goals provided by agriculture Integrate agricultural lands with natural communities
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Agricultural Crop Groups Crop TypeAcresPercent FIELD CROPS99,28427% GRAIN AND HAY CROP74,13920% TRUCK & BERRY CROPS64,37018% PASTURE41,86311% RICE30,4118% DECIDUOUS FRUITS AND NUTS25,7567% IDLE15,8624% VINEYARD9,4383% SEMIAGRICULTURAL & INCIDENTAL TO AGRICULTURE3,3391% CITRUS AND SUBTROPICAL3030% Total Acres of Agriculture364,765100% Total Acres in County653,629
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Yolo Agriculture Crops
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Rating Species Use of Crops: Habitat Suitability Model Approach Review scientific literature Input from knowledgeable species biologists Model development Identify Covered Species that use agricultural lands Develop list of crops used by each species Identify relative value of each crop - for different uses (foraging, breeding, resting, dispersal) Key distance variables: to nesting habitat, water, etc Prepare matrix of species-crop habitat values Summarized in Species Accounts and Species Models
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Yolo NHP Covered Agricultural Species Giant garter snake Western pond turtle White-tailed kite Bald eagle Northern harrier Swainson’s hawk Golden eagle Peregrine falcon Prairie falcon Mountain plover Black tern Burrowing owl Long-eared owl Short-eared owl Yellow-billed magpie Loggerhead shrike Yellow-headed blackbird Tricolored blackbird Western red Bat Townsend’s western big-eared bat Pallid bat
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Assign Habitat Values for Species Use of Each Agricultural Crop Per-acre habitat suitability ratings of crops Very High 1.0 High 0.75 Moderate 0.5 Low 0.25 Very low 0.1 None 0.0
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Species-Crop Habitat Matrix
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Determine Habitat Values of Each Agricultural Type Calculate Habitat Units for Species Habitat Units = [crop habitat suitability value] x [# acres of crop] Creates a “common currency” for assessing the value of different combinations of crops
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Determine Overall Habitat Value Example: Long-billed Curlew
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Use of Agricultural Habitat Valuations Describe existing values of agricultural lands Evaluate future scenarios - changes in agricultural use Incorporate with habitat values for other land cover types used by covered species (uplands, riparian, developed) Assess goals achievement in Conservation Strategies and adjust Serve as a basis for monitoring plan accomplishments Use plan monitoring to improve habitat valuation models
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