基于卫星时间序列的瑞士草原利用强度图:生态应用的挑战和机遇

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY Remote Sensing in Ecology and Conservation Pub Date : 2023-10-27 DOI:10.1002/rse2.372
Dominique Weber, Marcel Schwieder, Lukas Ritter, Tiziana Koch, Achilleas Psomas, Nica Huber, Christian Ginzler, Steffen Boch
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引用次数: 0

摘要

草原生态系统的土地利用集约化(即增加割草频率、加强放牧)对生物多样性和生态系统服务产生了强烈的负面影响。然而,关于草原利用强度的准确信息很难获得,并且仅限于地方或区域层面。最近的研究表明,可以使用卫星图像时间序列绘制大面积的割草事件。然而,这种方法的可转让性,特别是对山区的可转让能力,很少有人探讨,也很少有人调查其在生物多样性和保护方面的生态应用的相关性。在这里,我们使用基于规则的算法,使用Sentinel-2和Landsat 8卫星数据为瑞士绘制了2018-2021年草原管理事件(即割草和/或放牧)的年度地图。我们根据独立参考数据评估了管理事件的检测情况,这些数据是我们从瑞士各地广泛分布的公开网络摄像头的每日时间序列中获得的。我们进一步研究了产生的草原利用强度指标与全国实地调查得出的植物物种丰富度和生态指标值之间的关系。2020年和2021年基于网络摄像头的验证显示,大多数检测到的管理事件都是实际的割草/放牧事件(≥78%),但大量事件没有检测到(高达57%),尤其是高海拔地区的放牧事件。我们发现,植物物种丰富度较低,营养物质和割草耐受性的平均生态指标值较高,管理事件更频繁,而且开始时间更早。很大一部分方差是由我们的使用强度测量来解释的。因此,我们的研究结果强调,远程评估的管理事件可以在大尺度上以精细的空间和时间分辨率表征土地利用强度,并可以解释草原中的植物生物多样性模式。
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Grassland-use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications
Land-use intensification in grassland ecosystems (i.e. increased mowing frequency, intensified grazing) has a strong negative effect on biodiversity and ecosystem services. However, accurate information on grassland-use intensity is difficult to acquire and restricted to the local or regional level. Recent studies have shown that mowing events can be mapped for large areas using satellite image time series. The transferability of such approaches, especially to mountain areas, has been little explored, however, and the relevance for ecological applications in biodiversity and conservation has hardly been investigated. Here, we used a rule-based algorithm to produce annual maps for 2018–2021 of grassland-management events, that is, mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 satellite data. We assessed the detection of management events based on independent reference data, which we acquired from daily time series of publicly available webcams that are widely distributed across Switzerland. We further examined the relationships between the generated grassland-use intensity measures and plant species richness and ecological indicator values derived from a nationwide field survey. The webcam-based verification for 2020 and 2021 revealed that most detected management events were actual mowing/grazing events (≥78%), but that a substantial number of events were not detected (up to 57%), particularly grazing events at higher elevations. We found lower plant species richness and higher mean ecological indicator values for nutrients and mowing tolerance with more frequent management events and those starting earlier in the year. A large proportion of the variance was explained by our use-intensity measures. Our findings therefore highlight that remotely assessed management events can characterise land-use intensity at fine spatial and temporal resolutions across broad scales and can explain plant biodiversity patterns in grasslands.
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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