欧洲游戏数据收集的标准化:一个案例研究

IF 1.8 3区 生物学 Q3 ECOLOGY European Journal of Wildlife Research Pub Date : 2023-11-29 DOI:10.1007/s10344-023-01746-3
Carmen Ruiz-Rodríguez, José A. Blanco-Aguiar, Azahara Gómez-Molina, Sonia Illanas, Javier Fernández-López, Pelayo Acevedo, Joaquín Vicente
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引用次数: 0

摘要

为了以支持政策制定者和自然资源管理者的方式监测野生动物种群,必须使用允许在项目之间和跨时间进行比较的框架和方法来收集数据。尽管狩猎统计数据可能是监测狩猎物种数量趋势的可靠数据来源,但在欧洲,甚至在各国内部,也从未建立过收集和分析这些数据的标准化框架。在这里,我们描述了一个关于在西班牙使用狩猎统计数据的案例研究,以便(i)描述西班牙大陆地区大型猎物统计数据收集框架的可变性,(ii)为国家层面的标准化方法提出最小公分母。所确定的方法的主要差异是每个区域收集不同的变量,使用不同的空间和时间分辨率,并遵循不同的方法。我们根据狩猎数据收集系统的相似性对区域进行分组,描述了空间格局,并确定了社会经济因素是区域间方法差异的潜在驱动因素。为了实现国家一级的方法标准化,必须纳入与工作有关的变量和改进的时间分辨率(到事件级)。建议使用应用软件以标准化的方式从现场收集信息,这需要将利益相关者作为监测过程的一部分。应用软件的设计应该是有意的,并且只有在明确了监控程序的目标之后才能进行设计。使狩猎数据开放获取将改善科学和专业部门的协作和信息传递。我们的建议可以适用于其他欧洲国家,这将使狩猎数据在大空间尺度上对人口监测和野生动物政策制定更有用。“欧洲野生动物观察站”(www.wildlifeobservatory.org)是一个由欧洲野生动物观察和监测点组成的网络,诸如此类的倡议可能会改善数据交换和标准化协议,从而更好地利用狩猎统计数据来监测欧洲野生动物种群。
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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Towards standardising the collection of game statistics in Europe: a case study

In order to monitor wildlife populations in a manner that supports policy makers and natural resource managers, data must be collected using frameworks and methodologies that allow for comparisons between projects and across time. Though hunting statistics may represent a reliable data source for monitoring population trends in game species, a standardised framework for collecting and analysing this data has never been established in Europe, even within countries. Here we describe a case study on the use of hunting statistics in Spain in order to (i) describe the variability in big game statistics collection frameworks across mainland regions of Spain and (ii) propose a minimum common denominator for a standardised approach at the country level. The main differences in methodologies identified are that each region collects different variables, uses different spatial and temporal resolution, and follows different methodologies. We described spatial patterns by grouping regions based on similarities in the hunting data collection system and identified socio-economic factors as a potential driver of differences in methodologies among regions. Hunting effort-related variables and improved temporal resolution (to the event level) must be incorporated in order to achieve country-level standardisation of methodologies. The use of application software to collect information from the field in a standardised way is recommended, which necessitates engaging stakeholders as part of the monitoring process. Applications software should be designed intentionally, and only after clear objectives for the monitoring program have been defined. Making hunting data open access will improve collaboration and information transfer to scientific and professional sectors. Our recommendations can be adapted to other European countries, which would make hunting data more useful for population monitoring and wildlife policy-making at large spatial scales. Initiatives such as the “European Wildlife Observatory” (www.wildlifeobservatory.org), a network of wildlife observation and monitoring points in Europe, may improve data exchange and standardise protocols, leading to better utilisation of hunting statistics for European wildlife population monitoring.

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来源期刊
CiteScore
3.40
自引率
5.00%
发文量
68
审稿时长
2 months
期刊介绍: European Journal of Wildlife Research focuses on all aspects of wildlife biology. Main areas are: applied wildlife ecology; diseases affecting wildlife population dynamics, conservation, economy or public health; ecotoxicology; management for conservation, hunting or pest control; population genetics; and the sustainable use of wildlife as a natural resource. Contributions to socio-cultural aspects of human-wildlife relationships and to the history and sociology of hunting will also be considered.
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