Table 1 Candidate covariates used to develop piping plover breeding density models and their data sources.

From: Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird

Category

Source

Temporal resolution

Candidate covariates

Site accessibility

Gravel and paved roads50

Static

Road density within 5 km

Checklist effort

eBird26

Annual

Checklist duration;

Checklist distance

Anthropogenic

Gravel and paved roads50

Static

Distance to roads (m);

Binary classification: > 100 m from roads = 1, < 100 m from roads = 0

Anthropogenic

Settlements50

Static

Distance to human settlements (m);

Binary classification: > 1 km from settlements = 1, < 1 km from settlements = 0

Topography

DEM (U.S. Geological Survey National Map)

Static

Slopea

Hydrology

DSWE43

Annual

Percent surface watera,b

Hydrology

NWI

Static

Distance to permanent lake features (m);

Distance to permanent lake features—exponential function

Vegetation

NDVI (Landsat)

Annual

NDVIa,b

Land cover

NLCD49

Every 2–3 years

Percent crop and hay pasturea;

Distance to trees (m)

  1. Site accessibility and checklist effort covariates were only applied to the eBird observation process and remaining covariates were applied to the latent species distribution process. Temporal resolution refers to the frequency at which data layers were produced across our study period. DEM Digital elevation model; DSWE Dynamic surface water extent; NWI National wetlands inventory; NDVI Normalized difference vegetation index; NLCD National land cover database.
  2. aThese covariates were considered at multiple spatial extents: 30 m, all adjacent pixels, 90 m, 150 m, 300 m, and 750 m.
  3. bThese covariates included a candidate quadratic effect.