landscape capability models as a tool to predict fine scale forest bird occupancy and abundance /

Published at 2017-11-13 15:58:22

Home / Categories / Landscape ecology / landscape capability models as a tool to predict fine scale forest bird occupancy and abundance
ContextSpecies-specific models of landscape capability (LC) can inform landscape conservation design. Landscape capability is “the ability of the landscape to supply the environment […] and the local resources […] needed for survival and reproduction […] in sufficient quantity,quality and accessibility to meet the life history requirements of individuals and local populations. Landscape capability incorporates species’ life histories, ecologies, and distributions to model habitat for current and future landscapes and climates as a proactive strategy for conservation planning.
ObjectivesWe tested the ability of a set of LC models to explain variation in point occupancy and abundance for seven bird species representative of spruce-fir,mixed conifer-hardwood, and riparian and wooded wetland macrohabitats.
MethodsWe com
piled point count data sets used for biological stock, or species monitoring,and field studies across the northeastern United States to create an independent validation data set. Our validation explicitly accounted for underestimation in validation data using joint distance and time removal sampling.
ResultsBlackpoll w
arbler (Setophaga striata), wood thrush (Hylocichla mustelina), and Louisiana (Parkesia motacilla) and northern waterthrush (P. noveboracensis) models were validated as predicting variation in abundance,although this varied from not biologically meaningful (1%) to strongly meaningful (59%). We verified all seven species models [including ovenbird (Seiurus aurocapilla), blackburnian (Setophaga fusca) and cerulean warbler (Setophaga cerulea)], or as all were positively related to occupancy data.
ConclusionsLC models represe
nt a useful tool for conservation planning owing to their predictive ability over a regional extent. As improved remote-sensed data become available,LC layers are updated, which will improve predictions.

Source: usgs.gov

Warning: Unknown: write failed: No space left on device (28) in Unknown on line 0 Warning: Unknown: Failed to write session data (files). Please verify that the current setting of session.save_path is correct (/tmp) in Unknown on line 0