The impact of crop parameters and surrounding habitats on different pollinator group abundance on agricultural fields
The impact of crop parameters and surrounding habitats on different pollinator group abundance on agricultural fields
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DOI：
10.1016/j.agee.2017.03.009
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发表时间：
2017-06-01
影响因子：
6.6
通讯作者：
Schroeder, B.
中科院分区：
文献类型：
--
作者：
Brandt, K.;Glemnitz, M.;Schroeder, B.
花粉是一种重要的生态系统服务。然而，传粉媒介正在减少，它们的服务越来越受到威胁。下降是由几个因素造成的，其中大多数与农业管理有关。然而，景观系统的复杂性，包括种植和非种植区，使得很难解决，甚至量化的传粉昆虫丰富的农业实践的作用。因此，本文的目的是提高我们的理解传粉者丰富度和它们的栖息地利用之间的关系。我们打算确定和量化的驱动环境因素，决定传粉者丰富的农业景观的作物和景观尺度。这些信息有助于我们设计算法，可以作为预测农业领域传粉者丰度的基础。为了整合不同的环境条件下的数据采样进行了农场在三个不同的地区在德国。传粉者被分为不同的群体，有三个聚集水平。我们观察到的作物参数以及景观参数的领域，除了时间方面。然后计算广义线性模型（GLM）。我们的研究结果表明，作物和景观参数影响传粉者丰富的农田。然而，所包括的参数的解释力变化强烈的特定传粉者群体之间的聚集水平。此外，物种群体之间的差异提高了解释力相比，更聚合的模型。我们还发现，在分析传粉者丰度时，特定传粉者群体的主要活动期与作物物种的资源供应之间的时间匹配是一个关键因素。总之，我们表明，授粉服务的评估和支持，应进行个别授粉群体。在研究传粉者丰度时，作物和景观尺度都应该考虑。一系列不同的栖息地的要求和不同的活动期的授粉群体必须涵盖维持授粉服务，因此，不同的景观和不同的作物轮作是至关重要的。(C)2017爱思唯尔B.V.保留所有权利。
Pollination is a key ecosystem service. Pollinators, however, are in decline and their service is increasingly threatened. The decline is driven by several factors, most of which are related to agricultural management. However, the complexity of the landscape system, consisting of both cropped and non cropped areas, makes it difficult to address or even quantify the role of farming practices in pollinator abundance. Therefore, the aim of this paper is to improve our understanding of the relationships between pollinator abundance and their habitat use. We intend to identify and quantify the driving environmental factors that determine pollinator abundance in agricultural landscapes on the crop and landscape scale. These information helps us to design algorithms that can be used as a basis for predicting pollinator abundance on agricultural fields. To integrate varying environmental conditions data sampling was performed on farms in three different regions in Germany. Pollinators were classified into different groups with three aggregation levels. We observed crop parameters as well as landscape parameters in the areas surrounding fields in addition to temporal aspects. Generalized linear models (GLMs) were then calculated. Our results showed that both crop and landscape parameters affect pollinator abundance on agricultural fields. However, the explanatory power of the included parameters varied strongly among the particular pollinator groups and between aggregation levels. Furthermore, differentiation between species groups improves the explanatory power compared to models that are more aggregated. We also found that the temporal match between main activity periods of the particular pollinator groups and resource supply by the crop species is a key factor when analysing pollinator abundance. In conclusion, we demonstrated that the assessment and support of pollination services should be carried out with regard to individual pollinator groups. When studying pollinator abundance, the crop as well as the landscape scale should be addressed. A range of different habitat requirements and different activity periods of the pollinator groups must be covered to maintain pollination services, and therefore both diverse landscapes and diverse crop rotations are of crucial importance. (C) 2017 Elsevier B.V. All rights reserved.