A pilot study of methodology for the development of farmland habitat reports for sustainability assessments

IF 0.9 4区 农林科学 Q3 AGRICULTURE, MULTIDISCIPLINARY
J. Finn, P. Moran
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引用次数: 0

Abstract

The inclusion of farm maps of habitat features is becoming an urgent requirement for assessments of farm-scale sustainability and for compliance or benchmarking with national and international sustainability certification and accreditation schemes. Traditional methods of habitat assessment rely strongly on field-based surveys, which are logistically demanding and relatively costly. We describe and investigate a process that relies on information technology to develop a scalable method that can be applied across multiple farms to reduce the significant logistical challenges and financial costs of traditional habitat surveys. A key impediment to the routine development of farm habitat maps is the lack of information on the type of habitats that occur on a land parcel. Within a pilot project comprising 187 farms, we developed and implemented a process for creating farm habitat reports and investigate the accuracy of visual interpretation of satellite imagery by an ecologist aiming to identify habitat types. We generated customised farm reports that included a colour-coded farm habitat map and habitat information (type, area, relative wildlife importance). Visual assessment of satellite imagery achieved an overall accuracy of 96% in its ability to discriminate between land parcels with habitats categorised by this study as being of either high or low nature conservation value. Assessment of satellite imagery achieved an overall accuracy of 90% in its ability to discriminate among Fossitt level II habitat classes, and an overall accuracy of 81% when using individual habitat classes (Fossitt level III). There was, however, considerable variation in the accuracy associated with individual habitat classes. We conclude that this methodology based on satellite imagery is sufficiently accurate to be used for the incorporation of farmland habitats into farm-scale sustainability assurance, but should, at most, use Fossitt level II habitat classes. We discuss future challenges and opportunities for the development of farm habitat maps and plans for their use in sustainability certification schemes.
为可持续性评估编写农田生境报告的方法试点研究
列入生境特征的农场地图正成为评估农场规模可持续性以及遵守国家和国际可持续性核证和认可计划或制定基准的迫切要求。传统的生境评估方法在很大程度上依赖于实地调查,这在后勤方面要求很高,而且费用相对昂贵。我们描述和调查了一个依赖信息技术开发可扩展方法的过程,该方法可应用于多个农场,以减少传统栖息地调查的重大后勤挑战和财务成本。农场生境地图常规开发的一个主要障碍是缺乏关于一块土地上生境类型的信息。在一个包括187个农场的试点项目中,我们开发并实施了一个创建农场栖息地报告的流程,并调查了生态学家对卫星图像进行视觉解释的准确性,以确定栖息地类型。我们生成了定制的农场报告,其中包括彩色编码的农场栖息地地图和栖息地信息(类型、面积、相对野生动物重要性)。卫星图像的视觉评估在区分被本研究分类为高自然保护价值或低自然保护价值的土地地块的能力方面达到了96%的总体准确性。对卫星图像的评估在区分Fossitt II级栖息地类别的能力上达到了90%的总体精度,而在使用单个栖息地类别(Fossitt III级)时,总体精度为81%。然而,与单个栖息地类别相关的精度存在相当大的差异。我们得出的结论是,这种基于卫星图像的方法足够精确,可以用于将农田生境纳入农场规模的可持续性保证,但最多应该使用fositt II级生境分类。我们讨论了未来发展的挑战和机遇,以及在可持续认证计划中使用的农场栖息地地图和计划。
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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来源期刊
CiteScore
2.50
自引率
20.00%
发文量
23
审稿时长
>36 weeks
期刊介绍: The Irish Journal of Agricultural and Food Research is a peer reviewed open access scientific journal published by Teagasc (Agriculture and Food Development Authority, Ireland). Manuscripts on any aspect of research of direct relevance to Irish agriculture and food production, including plant and animal sciences, food science, agri environmental science, soils, engineering, buildings, economics and sociology, will be considered for publication. The work must demonstrate novelty and relevance to the field of research. Papers published or offered for publication elsewhere will not be considered, but the publication of an abstract does not preclude the publication of the full paper in this journal.
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