Samuelson Ash E, Leadbeater Ellouise
School of Biological Sciences Royal Holloway University of London Egham UK.
Ecol Evol. 2018 Apr 30;8(11):5598-5610. doi: 10.1002/ece3.4087. eCollection 2018 Jun.
Land-use change is one of the most important drivers of widespread declines in pollinator populations. Comprehensive quantitative methods for land classification are critical to understanding these effects, but co-option of existing human-focussed land classifications is often inappropriate for pollinator research. Here, we present a flexible GIS-based land classification protocol for pollinator research using a bottom-up approach driven by reference to pollinator ecology, with urbanization as a case study. Our multistep method involves manually generating land cover maps at multiple biologically relevant radii surrounding study sites using GIS, with a focus on identifying land cover types that have a specific relevance to pollinators. This is followed by a three-step refinement process using statistical tools: (i) definition of land-use categories, (ii) principal components analysis on the categories, and (iii) cluster analysis to generate a categorical land-use variable for use in subsequent analysis. Model selection is then used to determine the appropriate spatial scale for analysis. We demonstrate an application of our protocol using a case study of 38 sites across a gradient of urbanization in South-East England. In our case study, the land classification generated a categorical land-use variable at each of four radii based on the clustering of sites with different degrees of urbanization, open land, and flower-rich habitat. Studies of land-use effects on pollinators have historically employed a wide array of land classification techniques from descriptive and qualitative to complex and quantitative. We suggest that land-use studies in pollinator ecology should broadly adopt GIS-based multistep land classification techniques to enable robust analysis and aid comparative research. Our protocol offers a customizable approach that combines specific relevance to pollinator research with the potential for application to a wide range of ecological questions, including agroecological studies of pest control.
土地利用变化是传粉者种群广泛减少的最重要驱动因素之一。全面的土地分类定量方法对于理解这些影响至关重要,但现有的以人类为中心的土地分类方法通常不适用于传粉者研究。在此,我们以城市化为例,提出一种基于地理信息系统(GIS)的灵活土地分类方案,用于传粉者研究,该方案采用自下而上的方法,以传粉者生态学为依据。我们的多步骤方法包括使用GIS在研究地点周围多个具有生物学相关性的半径范围内手动生成土地覆盖图,重点是识别与传粉者具有特定相关性的土地覆盖类型。随后使用统计工具进行三步细化过程:(i)定义土地利用类别,(ii)对类别进行主成分分析,以及(iii)聚类分析以生成用于后续分析的分类土地利用变量。然后使用模型选择来确定分析的适当空间尺度。我们通过对英格兰东南部城市化梯度上的38个地点进行案例研究,展示了我们方案的应用。在我们的案例研究中,土地分类根据不同程度的城市化、开阔土地和花卉丰富栖息地的地点聚类,在四个半径处分别生成了一个分类土地利用变量。历史上,关于土地利用对传粉者影响的研究采用了从描述性和定性到复杂和定量的各种土地分类技术。我们建议传粉者生态学中的土地利用研究应广泛采用基于GIS的多步骤土地分类技术,以实现有力的分析并有助于比较研究。我们的方案提供了一种可定制的方法,将与传粉者研究的特定相关性与应用于广泛生态问题(包括害虫控制的农业生态研究)的潜力相结合。