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Structured and unstructured citizen science: Seven decades of expanding bird populations in central Ontario, Canada

机译:结构化和非结构化的公民科学:加拿大安大略省中部鸟类发展的七十年

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Citizens' observations of wildlife offer a wealth of information. Such data, however, may be prone to biases or inaccuracies - in particular, the over-reporting of novel species and under-reporting of common or mundane species. Few studies have assessed the relationship between unstructured and structured observations using long-term data. We compared 69 years of voluntary bird sightings, recorded in the regular publication of Peterborough Field Naturalists (PFN), 1948-2016, to systematic Christmas Bird Counts (CBC; during winter) and Breeding Bird Surveys (BBS; during spring) in central Ontario, Canada. We focused on seven species that had expanded their ranges into the area: Northern Cardinal (Cardinalis cardinalis), House Finch (Haemorhous mexicanus), Purple Finch (Haemorhous purpureus), Red-bellied Woodpecker (Melanerpes carolinus), Wild Turkey (Meleagris gallopavo), Canada Goose (Branta canadensis), and American Robin (Turdus migratorius). For each species, we compared the first record, the annual number of sightings, and the annual relative abundance from the PFN to the first record and annual relative abundance in the CBC and BBS. We anticipated that naturalists' accounts would be more sensitive to the arrival of novel species but would underestimate abundance as the species became common.In general, our results agreed with these predictions. In 11 of 12 cases, the naturalists detected a species well in advance of the CBC and BBS - on average by 1 1/2 decades (range: 5-33 years). The correlations in bird abundance between unstructured (PFN) and structured (CBC and BBS) data were variable; most were weak and negative. We found significant negative correlations for the two most common species, Northern Cardinal (winter) and House Finch (spring), as well as for Wild Turkey (winter), and a positive correlation for the rarest species, the Red-bellied Woodpecker (spring). We surmise that novelty underlies these results - that rarity increases the likelihood of reporting by non-professionals. We conclude that unstructured observations are valuable in detecting novel species, but they may be inconsistent, even inverse, indicators of the abundance of expanding species, once established.
机译:市民对野生动植物的观察提供了丰富的信息。但是,此类数据可能易于产生偏差或不准确,特别是新物种的过度报道和普通或普通物种的报道不足。很少有研究使用长期数据评估非结构化观察与结构化观察之间的关系。我们将1948-2016年Peterborough Field Naturalists(PFN)的定期出版物中记录的69年自愿鸟类发现与安大略省中部地区的系统化圣诞节鸟类计数(CBC;冬季)和繁殖鸟类调查(BBS;春季)进行了比较,加拿大。我们集中研究了将其范围扩大到该地区的7个物种:北红衣主教(Cardinalis cardinalis),家雀(Haemorhous mexicanus),紫雀(Haemorhous purpureus),红腹啄木鸟(Melanerpes carolinus),野生火鸡(Meleagris gallopavo) ,加拿大鹅(Branta canadensis)和美国罗宾(Turdus migratorius)。对于每个物种,我们比较了第一记录,每年的目击次数以及PFN的年度相对丰度与CBC和BBS中的第一记录和年度相对丰度。我们预计博物学家的说法将对新物种的到来更加敏感,但随着物种变得普遍而低估了其丰富程度。总体而言,我们的结果与这些预测相符。在12个案例中的11个案例中,博物学家在CBC和BBS之前就发现了一个物种,平均提前了1 1/2年(范围:5-33年)。非结构化(PFN)数据和结构化(CBC和BBS)数据之间的鸟类丰度相关性是可变的;大多数是弱者和消极者。我们发现两个最常见的物种北红衣主教(冬季)和House Finch(春季)以及野生火鸡(冬季)具有显着的负相关,而最稀有的物种红腹啄木鸟(春季)则具有正相关。 )。我们推测新颖性是这些结果的基础-稀有性增加了非专业人员举报的可能性。我们得出的结论是,非结构化观测对于发现新物种非常有价值,但一旦建立,它们可能是不一致的,甚至是相反的指示,表明物种不断丰富。

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