Using BBIRD Methodology in a Logistically Constrained Study

Sallie J. Hejl1,2 and Jennifer A. Holmes1

ABSTRACT— One of the goals of the Breeding Biology Research and Monitoring Database (BBIRD) program is to examine the effects of management and other anthropogenic disturbances on avian breeding productivity. The BBIRD program relies on a network of cooperators using standardized sampling protocols to find and monitor the nests of all species or a subset (focal group) of species in an area. In a study of fragmentation effects on forest birds, we initially used the community-level BBIRD approach, finding and monitoring nests of as many species as we could. From 1992-1994, we found twice as many nests in the second year (154 nests of 27 species) and third year (141 nests of 23 species) as in the first year (65 nests of 15 species), but in most cases, we found insufficient numbers per species to make good inferences. In general, we found more nests of common than of uncommon species, but we could not easily find nests of all of the common species. Cavity nests and enclosed nests generally were easier to find than open-cup nests, but nests of most species took large amounts of time to monitor. Each observer was able to monitor from 10 to 15 nests per day. In 1995, we realized that to get good information on nesting productivity in these habitats, we either had to hire more people to cover more plots, or to focus on fewer species. We decided to focus on two old-growth associates, with a primary emphasis on Winter Wrens (Troglodytes troglodytes) and a secondary emphasis on Brown Creepers (Certhia americana), resulting in our finding 51 wren and 13 creeper nests. We also colorbanded these species to obtain data on pairing success, probability of renesting, number of broods per season, and return rates. In addition, colorbanding helped us confirm that we had obtained most of the wren nests in each area and were able to minimize a potential bias in nest success studies: that of discovering only easy-to-find nests. We obtained good information on Winter Wrens, and minimal information on Brown Creepers. Our study illustrates that breeding productivity studies are labor intensive and often encounter budgetary and other logistical constraints (e.g., low nest densities and difficult habitat in which to work). In addition, when trying to address landscape-level questions, such as the effects of fragmentation, locating accessible replicate plots of rare habitat can be difficult. Even for the most common species in cedar/hemlock old-growth forests, replicate plots are essential for obtaining sufficient sample sizes of nests to test hypotheses. We agree with current BBIRD recommendations that suggest eight 35-50 ha plots/treatment for areas with low nest density. We found that our habitat required one person/50-ha plot to find most nests of focal species and to monitor those nests. Thus, we would need 16 field assistants for an ideal expanded study comparing nesting success in fragmented and continuous forests, in which we would expect to find about 20 nests per treatment per year for each of five focal species. When limited by constraints such as ours, we suggest that researchers focus on one to five focal species. If focusing on a few species, then colorbanding individual birds to examine additional aspects of population dynamics also may be possible.

1 USDA Forest Service
   Rocky Mountain Research Station
   P. O. Box 8089
   Missoula, MT 59807

2Current address:
   715 South 4th St. West
   Missoula, MT 59801