Point count summary statistics differentially predict reproductive activity in bird-habitat relationship studies

Point count summary statistics (e.g. mean abundance, maximum abundance, frequency and presence/absence) reflect different assumptions about behavioral and population processes. In this paper we (1) determine the frequency and usage trends of different point count summary statistics in recent ornitho...

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Veröffentlicht in:Journal of ornithology 2005-04, Vol.146 (2), p.151-159
Hauptverfasser: Betts, Matthew G., Simon, Neal P. P., Nocera, Joseph J.
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Sprache:eng
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Zusammenfassung:Point count summary statistics (e.g. mean abundance, maximum abundance, frequency and presence/absence) reflect different assumptions about behavioral and population processes. In this paper we (1) determine the frequency and usage trends of different point count summary statistics in recent ornithological literature, and (2) assess how well point count data, summarized using five common statistics, predict an alternate measure of habitat quality–reproductive activity. For the 100 journal years we reviewed (10 journals over 10 years), 148 papers used point counts to evaluate bird habitat relationships. The number of papers using point counts has increased over the decade. Mean abundance, the most common summary statistic, was used more than twice as frequently as the next most common summary statistics. Only 25.7% (38 papers) provided a justification for use of a particular summary technique. We conducted point counts in three Canadian study regions (New Brunswick, Nova Scotia, and Newfoundland and Labrador) comprised of two ecosystem types (forest and grassland). While there was a statistically significant positive correlation between point count data and reproductive activity data for most species, we found that point counts were often unsuccessful at predicting reproductive activity in forest birds. For species where point counts adequately predicted reproductive activity mean abundance and frequency were consistently the best predictors. Our results indicate that statistics using information on intra-season (multiple-visit) occupancy tend to be better estimators of reproductive activity.
ISSN:2193-7192
2193-7206
DOI:10.1007/s10336-005-0074-9