Field validation of a conservation network on the Eastern Shore of Maryland, USA, using breeding birds as bio-indicators.
Maryland's Green Infrastructure (GI) is a network of large, intact natural areas (hubs), interconnected by linear swaths of riparian or upland vegetation (corridors). The GI serves significant ecological functions and provides the bulk of the state's natural support system. This study examined whether the GI as mapped does, in fact, identify Maryland's most ecologically valuable forested lands, using forest interior dwelling birds (hereafter called "forest birds") as bio-indicators. We conducted bird point counts within forest both inside and outside of hubs on Maryland's Eastern Shore. We also collected a wide variety of habitat data. We found that both the condition of a forest and its surrounding landscape influenced the bird communities. On average, forest bird richness was significantly higher within hubs; furthermore, almost all sites with at least five forest bird species present were in hubs. Forest bird richness and abundance were highest in undisturbed, mature broadleaf forest with wetlands and streams nearby. We detected a significant relationship between forest bird richness and the ecological score of a finer-scale landscape assessment, focused on "cells" of about 0.1 ha in size. This field study also validated the Rapid Field Assessment (RFA) protocol developed in 2001 to assess, on the ground, the relative condition of individual sites or properties within the GI. Forest bird richness and abundance were positively correlated with the RFA community scores. Our results underscore the importance of maintaining regional biological diversity by retaining large blocks of forest, especially mature forest containing streams and wetlands.
Weber
Theodore C
TC
Maryland Department of Natural Resources, 580 Taylor Avenue, Annapolis, Maryland 21401, USA. tweber@conservationfund.org
Blank
Peter J
PJ
Sloan
Anne
A
D000818:Animals; D044822:Biodiversity; D001717:Birds; D001947:Breeding; D003247:Conservation of Natural Resources; D017753:Ecosystem; D004784:Environmental Monitoring; D040362:Geographic Information Systems; D008396:Maryland; D008954:Models, Biological; D014197:Trees