Identification of habitat requirements of farmland birds based on a hierarchical structured monitoring scheme

J. Hoffmann, U. Wittchen, U. Stachow, Gert Berger
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引用次数: 9

Abstract

Agricultural landscapes are essential for the conservation of biodiversity. Nevertheless, a negative trend continues to be observed in many rural areas for the most prominent indicator species group, the farmland birds. However, clear cause-effect relationships are rarely reported and sometimes difficult to deduce, especially from monitoring data which are based only on the detection of species and counts of the numbers of individuals. Because the identification of habitat preferences is a precondition for farmland bird biodiversity conservation efforts, a monitoring scheme for the simultaneous collection and analysis of bird and land use data was developed and tested. In order to assign the occurrence of bird species to land characteristics at various spatial scales and different land use and crop types, we applied a hierarchical structured sampling design. The spatial scales were ‘agricultural landscape’, ‘agricultural landscapes types’, ‘field crops and other habitats’ and ‘vegetation structures’. These scales were integrated with a novel concept, the ‘habitat matrix’ (HM). This method was applied to farmland breeding bird abundances on 29 plots, each 1 km² in size, by the use of the territory mapping method. The same plots were enlarged by a 100 m buffer and the sizes and location of habitats documented. Vegetation height, coverage and density was also recorded for all crop fields in the study area. We propose that this monitoring method facilitates the identification of scale dependent relationships between farmland bird habitat characteristics and bird abundance. This is demonstrated by the farmland bird species Corn Bunting (Emberiza calandra), Skylark (Alauda arvensis), and Whinchat (Saxicola rubetra). The breeding territories of these species reveal large differences within the various spatial scales ‘agricultural landscape’, ‘agricultural landscape types’ and ‘field crops’. Throughout the breeding season the abundances varied, dependent on the field crop and the development of vegetation structures (height, coverage, and density). HM-analysis led to the identification of specific habitat configurations preferred by individual bird species within the agricultural landscape. These findings indicate that the methodology has the potential to design monitoring schemes for the identification of cause-and-effects of landscape configuration, land use and land use changes on the habitat suitability and abundance of farmland birds.
基于分层结构监测方案的农田鸟类生境需求识别
农业景观对保护生物多样性至关重要。然而,在许多农村地区,最突出的指示物种群——农田鸟类——继续出现消极趋势。然而,很少报告明确的因果关系,有时也难以推断,特别是从仅基于物种检测和个体数量的监测数据中。由于栖息地偏好的确定是农田鸟类生物多样性保护工作的先决条件,因此制定并测试了同时收集和分析鸟类和土地利用数据的监测方案。为了将不同空间尺度、不同土地利用方式和作物类型下鸟类的发生与土地特征联系起来,我们采用了分层结构抽样设计。空间尺度为“农业景观”、“农业景观类型”、“大田作物及其他生境”和“植被结构”。这些尺度与一个新概念“栖息地矩阵”(HM)相结合。该方法应用于29个面积为1 km²的农田鸟类丰度样地,采用领土制图法。同样的样地扩大了100米缓冲区,并记录了栖息地的大小和位置。同时记录了研究区所有农田的植被高度、覆盖度和密度。该监测方法有助于识别农田鸟类栖息地特征与鸟类丰度之间的尺度依赖关系。这一点在农田鸟类中得到了证明,如玉米鹀(Emberiza calandra)、云雀(Alauda arvensis)和白眉雀(Saxicola rubetra)。这些物种的繁殖区域在不同的空间尺度“农业景观”、“农业景观类型”和“大田作物”之间存在很大差异。在整个繁殖季节,丰度随田间作物和植被结构(高度、覆盖度和密度)的发展而变化。hm分析确定了农业景观中单个鸟类偏好的特定栖息地配置。这些结果表明,该方法有潜力设计监测方案,以确定景观配置、土地利用和土地利用变化对农田鸟类生境适宜性和丰度的因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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