Graham Hugh A, Puttock Alan, Macfarlane William W, Wheaton Joseph M, Gilbert Jordan T, Campbell-Palmer Róisín, Elliott Mark, Gaywood Martin J, Anderson Karen, Brazier Richard E
University of Exeter, Devon, UK.
Department of Watershed Sciences, Utah State University, Logan, UT USA.
Eur J Wildl Res. 2020;66(3):42. doi: 10.1007/s10344-020-01379-w. Epub 2020 May 7.
Eurasian beaver () populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BDC) model, classifying suitability of river reaches for dam construction, to estimate location and number of dams at catchment scales. Models were executed across three catchments, in Great Britain (GB), containing beaver. An area of 6747 km was analysed for BFI and 16,739 km of stream for BDC. Field surveys identified 258 km of channel containing beaver activity and 89 dams, providing data to test predictions. Models were evaluated using a categorical binomial Bayesian framework to calculate probability of foraging and dam construction. BFI and BDC models successfully categorised the use of reaches for foraging and damming, with higher scoring reaches being preferred. Highest scoring categories were ca. 31 and 79 times more likely to be used than the lowest for foraging and damming respectively. Zero-inflated negative binomial regression showed that modelled dam capacity was significantly related ( = 0.01) to observed damming and was used to predict numbers of dams that may occur. Estimated densities of dams, averaged across each catchment, ranged from 0.4 to 1.6 dams/km, though local densities may be up to 30 dams/km. These models provide fundamental information describing the distribution of beaver foraging habitat, where dams may be constructed and how many may occur. This supports the development of policy and management concerning the reintroduction and recolonisation of beaver.
欧亚河狸()种群正在欧洲各地扩张。根据所处位置不同,河狸水坝带来多种益处且/或需要进行管理。我们利用全国可得数据开发了:河狸觅食指数(BFI),用于识别河狸觅食栖息地;以及河狸水坝容量(BDC)模型,用于对河段建造水坝的适宜性进行分类,以估算流域尺度上水坝的位置和数量。这些模型在英国(GB)的三个有河狸的流域进行了应用。对面积为6747平方千米的区域进行了河狸觅食指数分析,对16739千米的溪流进行了河狸水坝容量分析。实地调查确定了258千米有河狸活动的河道以及89座水坝,提供了用于检验预测的数据。使用分类二项贝叶斯框架对模型进行评估,以计算觅食和建造水坝的概率。河狸觅食指数和河狸水坝容量模型成功地对河段用于觅食和筑坝的情况进行了分类,得分较高的河段更受青睐。得分最高的类别用于觅食和筑坝的可能性分别比得分最低的类别高出约31倍和79倍。零膨胀负二项回归表明,模拟的水坝容量与观察到的筑坝情况显著相关(=0.01),并被用于预测可能出现的水坝数量。每个流域的水坝估计密度平均为0.4至1.6座水坝/千米,不过局部密度可能高达30座水坝/千米。这些模型提供了描述河狸觅食栖息地分布、可能建造水坝的地点以及可能出现水坝数量的基础信息。这有助于制定有关河狸重新引入和重新定居的政策及管理措施。