Landscape, cropping and field boundary influences on bird abundance
Landscape, cropping and field boundary influences on bird abundance
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景观、耕作和田界对鸟类丰度的影响
DOI：
10.1111/j.1600-0587.2011.06839.x
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发表时间：
2012
期刊：
影响因子：
5.9
通讯作者：
Siriwardena G
中科院分区：
文献类型：
--
作者：
Siriwardena G
考虑到英国可能发生的巨大土地利用变化，有必要预测其对生物多样性的影响。这种预测需要了解决定物种丰度的栖息地因素。我们与英国农田鸟类丰度在1平方公里规模的三个变量集：景观组成（例如，林地，城市和耕地面积），字段边界特征和作物。然后，我们使用多模型推理来总结每个变量集的模型拟合，并比较它们的解释力，以确定三种形式的农场景观描述的相对重要性。每个集合中的重要变量显示了农田鸟类群落最重要的栖息地特征，包括景观变量的模型为31种鸟类中的21种提供了最佳拟合，而田间边界变量对7种鸟类和1种作物变量最重要。控制景观的影响后，我们发现，田间边界的变化是略大于种植的影响。当单独考虑农田专用物种时，这些模式仍然存在。这表明，景观是鸟类丰度的最重要的决定因素，种植模式和领域的边界特性的影响，只有在景观结构的限制。然而，从管理的角度来看，边界，特别是作物仍然很重要，因为它们更不稳定，仍然可以驱动人口变化。影响多个物种的重要单一变量包括林地（即使在以农田为主的景观中也主要是负面的），树木的树篱（提供筑巢栖息地和歌曲）以及景观和作物的异质性（主要是正面影响）。结果表明，哪些生境特征通过管理行动为诱导的人口变化提供了最大的范围，并可能为土地利用变化预测模型的输入提供关系。
Given likely dramatic land use changes in the UK, there is a need to predict their impact upon biodiversity. Such predictions require an understanding of the habitat factors that determine species’ abundances. We relate British farmland bird abundance at the 1 km square scale to three variable sets: landscape composition (for example, areas of woodland, urban and arable), field boundary characteristics and cropping. We then use multi‐model inference to summarize model fits for each variable set and compare their explanatory power to identify the relative importance of the three forms of description of the farm landscape. The important variables across species within each set show the habitat features that are most significant for the farmland bird community.Models comprising landscape variables provided the best fits for 21 of 31 bird species, while field boundary variables were most important for seven species and cropping variables for one. After controlling for landscape influences, we then found that field boundary variation was slightly more influential than cropping. These patterns remained when farmland‐specialist species were considered alone. This shows that landscapes are the most important determinant of bird abundance and that cropping patterns and field boundary characteristics are influential only within the constraints of landscape structure. However, boundaries and, especially, crops remain important from a management perspective because they are more volatile, and can still drive population change. Important single variables that affected multiple species included woodland (predominantly negative even within farmland‐dominated landscapes), hedges with trees (providing nesting habitat and song‐posts) and heterogeneity both of landscapes and of cropping (predominantly positive effects). The results indicate which habitat features offer the most scope for induced population changes via management action and potentially provide relationships for input into predictive models with respect to land‐use change.
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影响因子：
5.7
作者：
Robinson, RA;Wilson, JD;Crick, HQP
通讯作者：
Crick, HQP
影响因子：
2.1
作者：
Davey, Catherine M.;Vickery, Juliet A.;Siriwardena, Gavin M.
通讯作者：
Siriwardena, Gavin M.
英国低地耕地田凫的保护管理
影响因子：
2.1
作者：
Robert D. Sheldon;M. Bolton;S. Gillings;Andrew M. Wilson
通讯作者：
Andrew M. Wilson
农田鸟类丰度趋势：平滑常见鸟类普查指数的定量比较
DOI：
--
发表时间：
1998
期刊：
影响因子：
--
作者：
G. Siriwardena;S. Baillie;S. T. Buckland;R. Fewster;J. Marchant;Jeremy D. Wilson
通讯作者：
Jeremy D. Wilson
设计冬季鸟类地图集野外方法：采样的时间和空间问题以及与栖息地的相互作用
影响因子：
1.3
作者：
S. Gillings
通讯作者：
S. Gillings