Research ArticleCONSERVATION ECOLOGY

Dynamic conservation for migratory species

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Science Advances  23 Aug 2017:
Vol. 3, no. 8, e1700707
DOI: 10.1126/sciadv.1700707

Figures

  • Fig. 1 California’s Sacramento Valley wetlands, rice, and protected areas.

    Habitat auction program area showing historic wetlands, current rice-growing extent, and protected areas. Inset shows the Sacramento Valley location within California and the Pacific Flyway.

  • Fig. 2 Average estimated seasonal shorebird abundance in the Sacramento River Valley.

    Weekly STEM model abundance estimates for the least sandpiper (blue), long-billed dowitcher (orange), and dunlin (gray) averaged across the Sacramento River Valley. Abundance estimates are reported in units of the expected number of birds of the given species reported by a typical eBird participant on a search from 0700 to 0800 hours while traveling 1 km.

  • Fig. 3 Estimated shorebird abundance, surface water availability, and conservation value in the Sacramento Valley for February.

    (A) Relative abundance of shorebirds. (B) Probability of surface water based on NASA Landsat imagery. (C) Ranked conservation value in terms of potential shorebird habitat. Areas of high shorebird predictions and low water availability represent highest conservation value in terms of potential shorebird habitat return on investment. Highest conservation value (dark blue), moderate conservation value (light blue), existing refuges, and maintain status quo areas (green).

  • Fig. 4 Observed shorebird densities and species richness.

    Biweekly shorebird densities per hectare (A) and species richness (B) in enrolled fields (orange) and unenrolled fields (blue) for 2 February to 12 April 2014 (mean ± SEM).

Tables

  • Table 1 Spring 2014 habitat auction participation.
    n farmersn bids*Total (km2)Average (km2 per bid)
    4-Week303731.50.85
    6-Week111212.61.05
    8-Week665.80.97
    Total37*5549.90.91

    *Individual farmers could submit bids for multiple duration options.

    • Table 2 Relative cost per square kilometers per bid.
      nAverage relative
      cost per bid
      SDCoefficient of variation
      Bids55100.0067.4167.41
      Bids accepted4480.1222.2127.72
      Bids rejected11331.74554.96167.29