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The ecological status of grasslands on lowland farmlands in western Ireland and implications for grassland classification and nature value assessment

机译:西爱尔兰低地农田的草地生态状况及其对草地分类和自然价值评估的意义

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The identification and protection of High Nature Value (HNV) farmland is an objective of the European Rural Development policy which has yet to be met by Member States. Remote sensing and models based on farm statistics are commonly used to identify HNV farmland. Use of datasets such as Corine Landcover Classes is widespread but it has been acknowledged that such datasets can significantly overlook fine-scale biodiversity features. In countries where farmland is predominantly grass-based, there is an added difficulty in distinguishing between grassland types without undertaking field-scale survey work. This study was conducted to improve our knowledge of grassland biodiversity on lowland farms with a view to helping assess their potential conservation value in a High Nature Value farmland context. We analysed the grassland species composition of 603 fields on 32 lowland farms and investigated their relationship to management, ecological and spatial descriptors. Non-metric Multidimensional Scaling (NMS) and Multi-Response Permutation Procedure (MRPP) analyses of the grasslands and their ecology on these farms revealed a continuum between semi-natural and improved agricultural grasslands, including an intermediate Semi-Improved Grassland type. This gradation from improved to semi-natural grassland highlights the biodiversity variation that occurs on farms that are frequently considered to be of low nature value. Statistical analyses showed that management practices, and especially soil fertility, were most strongly associated with grassland type. The detailed description of the grasslands that occur on these lowland farms has the potential to provide a better assessment of the overall nature value of a farm, potentially aiding the identification of Type 2 High Nature Value farmland. Before this can be achieved, however, there is a need to amend the grassland classification system used in Ireland in order that intermediate semi-natural grassland assemblages can be identified at the field level. Field surveys are necessary for this level of detail.
机译:识别和保护高自然价值(HNV)农田是欧洲农村发展政策的目标,而成员国尚未实现。基于农场统计数据的遥感和模型通常用于识别HNV农田。诸如Corine Landcover Classes之类的数据集的使用非常广泛,但是已经认识到,此类数据集可以大大忽略精细尺度的生物多样性特征。在农田以草为主的国家中,不进行田间规模的调查工作就很难区分草地类型。进行这项研究的目的是提高我们对低地农场的草地生物多样性的了解,以帮助评估在高自然价值农田中其潜在的保护价值。我们分析了32个低地农场的603个农田的草地物种组成,并研究了它们与管理,生态和空间指标的关系。对这些农场的草地及其生态学进行非度量多维标度(NMS)和多响应置换程序(MRPP)分析,发现半自然草地和改良农业草地之间是一个连续体,包括中等半改良草地类型。从改良到半天然的草地,这种等级突出了通常被认为具有较低自然价值的农场上发生的生物多样性变化。统计分析表明,管理措施,尤其是土壤肥力,与草地类型密切相关。对这些低地农场上发生的草地的详细描述有可能对农场的整体自然价值进行更好的评估,从而有可能帮助识别2类高自然价值的农田。但是,在实现这一目标之前,需要修改爱尔兰使用的草地分类系统,以便可以在田野一级识别中间的半天然草地组合。为此,必须进行现场调查。

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