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How well do regional or national Breeding Bird Survey data predict songbird population trends at an intact boreal site?

机译:区域或国家的“繁殖鸟调查”数据如何很好地预测完整的北方地区的鸣禽数量趋势?

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A study to monitor boreal songbird trends was initiated in 1998 in a relatively undisturbed and remote part of the boreal forest in the Northwest Territories, Canada. Eight years of point count data were collected over the 14 years of the study, 1998-2011. Trends were estimated for 50 bird species using generalized linear mixed-effects models, with random effects to account for temporal (repeat sampling within years) and spatial (stations within stands) autocorrelation and variability associated with multiple observers. We tested whether regional and national Breeding Bird Survey (BBS) trends could, on average, predict trends in our study area. Significant increases in our study area outnumbered decreases by 12 species to 6, an opposite pattern compared to Alberta (6 versus 15, respectively) and Canada (9 versus 20). Twenty-two species with relatively precise trend estimates (precision to detect > 30% decline in 10 years; observed SE ≤ 3.7%/year) showed nonsignificant trends, similar to Alberta (24) and Canada (20). Precision-weighted trends for a sample of 19 species with both reliable trends at our site and small portions of their range covered by BBS in Canada were, on average, more negative for Alberta (1.34% per year lower) and for Canada (1.15% per year lower) relative to Fort Liard, though 95% credible intervals still contained zero. We suggest that part of the differences could be attributable to local resource pulses (insect outbreak). However, we also suggest that the tendency for BBS route coverage to disproportionately sample more southerly, developed areas in the boreal forest could result in BBS trends that are not representative of range-wide trends for species whose range is centred farther north.
机译:1998年,在加拿大西北地区的一片相对未受干扰的北方森林中,开展了一项监测北方鸣禽趋势的研究。在研究的14年(1998-2011年)中收集了八年的点数数据。使用广义线性混合效应模型对50种鸟类的趋势进行了估算,并采用随机效应来说明时间(相关年份内的重复采样)和空间(林内站位)的自相关性以及与多个观察者相关的变异性。我们测试了区域和国家育鸟调查(BBS)趋势是否可以平均预测我们研究区域的趋势。我们研究区域的显着增加数量减少了12种,减少了6种,与艾伯塔省(分别为6和15)和加拿大(9和20)相比,情况相反。 22种具有相对精确趋势估计的物种(10年内可检测到30%的下降精度;观察到的SE≤3.7%/年)显示出不显着的趋势,类似于艾伯塔省(24)和加拿大(20)。平均而言,在我们站点上具有可靠趋势且在加拿大BBS覆盖的一小部分样本中的19种样本的精确加权趋势平均而言,对艾伯塔省(每年降低1.34%)和加拿大(1.15%)的负面影响更大(相对于Fort Liard,每年更低),尽管95%的可信区间仍为零。我们建议部分差异可能归因于当地资源脉冲(昆虫爆发)。但是,我们还建议,BBS路线覆盖的趋势是在偏南森林的偏南,发达地区不成比例地取样,这可能导致BBS趋势不能代表范围更北的物种的全范围趋势。

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