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机械收割有效控制了杨树的入侵,无人机数据加强了处理后的监测。

Mechanical Harvesting Effectively Controls Young spp. Invasion and Unmanned Aerial Vehicle Data Enhances Post-treatment Monitoring.

作者信息

Lishawa Shane C, Carson Brendan D, Brandt Jodi S, Tallant Jason M, Reo Nicholas J, Albert Dennis A, Monks Andrew M, Lautenbach Joseph M, Clark Eric

机构信息

Institute of Environmental Sustainability, Loyola University ChicagoChicago, IL, USA.

Human Environment Systems Center, Boise State UniversityBoise, ID, USA.

出版信息

Front Plant Sci. 2017 Apr 25;8:619. doi: 10.3389/fpls.2017.00619. eCollection 2017.

Abstract

The ecological impacts of invasive plants increase dramatically with time since invasion. Targeting young populations for treatment is therefore an economically and ecologically effective management approach, especially when linked to post-treatment monitoring to evaluate the efficacy of management. However, collecting detailed field-based post-treatment data is prohibitively expensive, typically resulting in inadequate documentation of the ecological effects of invasive plant management. Alternative approaches, such as remote detection with unmanned aerial vehicles (UAV), provide an opportunity to advance the science and practice of restoration ecology. In this study, we sought to determine the plant community response to different mechanical removal treatments to a dominant invasive wetland macrophyte ( spp.) along an age-gradient within a Great Lakes coastal wetland. We assessed the post-treatment responses with both intensive field vegetation and UAV data. Prior to treatment, the oldest stands had the lowest plant diversity, lowest native sedge ( spp.) cover, and the greatest cover. Following treatment, plots that were mechanically harvested below the surface of the water differed from unharvested control and above-water harvested plots for several plant community measures, including lower dominance, lower native plant cover, and greater floating and submerged aquatic species cover. Repeated-measures analysis revealed that above-water cutting increased plant diversity and aquatic species cover across all ages, and maintained native spp. cover in the youngest portions of stands. UAV data revealed significant post-treatment differences in normalized difference vegetation index (NDVI) scores, blue band reflectance, and vegetation height, and these remotely collected measures corresponded to field observations. Our findings suggest that both mechanically harvesting the above-water biomass of young stands and harvesting older stands below-water will promote overall native community resilience, and increase the abundance of the floating and submerged aquatic plant guilds, which are the most vulnerable to invasions by large macrophytes. UAV's provided fast and spatially expansive data compared to field monitoring, and effectively measured plant community structural responses to different treatments. Study results suggest pairing UAV flights with targeted field data collection to maximize the quality of post-restoration vegetation monitoring.

摘要

入侵植物的生态影响会随着入侵时间的推移而急剧增加。因此,针对入侵时间较短的种群进行治理是一种经济且有效的生态管理方法,特别是当与治理后的监测相结合以评估管理效果时。然而,收集详细的基于实地的治理后数据成本过高,通常导致对入侵植物管理的生态影响记录不足。诸如使用无人机进行遥感探测等替代方法,为推进恢复生态学的科学研究和实践提供了契机。在本研究中,我们试图确定在大湖沿岸湿地内,植物群落对一种优势入侵湿地大型植物(某物种)沿年龄梯度进行的不同机械清除处理的响应。我们通过密集的实地植被调查和无人机数据来评估治理后的响应情况。在处理之前,入侵时间最长的群落植物多样性最低,本土莎草(某物种)覆盖度最低,而入侵植物覆盖度最大。处理之后,在水面以下进行机械收割的样地在若干植物群落指标上与未收割的对照样地及水面以上收割的样地有所不同,包括入侵植物优势度更低、本土植物覆盖度更低以及漂浮和沉水水生植物覆盖度更高。重复测量分析表明,水面以上割除增加了所有年龄段的植物多样性和水生物种覆盖度,并在入侵群落最年轻的部分维持了本土某物种的覆盖度。无人机数据显示,归一化植被指数(NDVI)得分、蓝波段反射率和植被高度在处理后存在显著差异,并且这些遥感收集的指标与实地观测结果相符。我们的研究结果表明,对入侵群落最年轻部分的水面以上生物量进行机械收割以及对较老群落进行水面以下收割,都将促进本土群落的整体恢复力,并增加最易受到大型植物入侵影响的漂浮和沉水水生植物类群的丰度。与实地监测相比,无人机能够提供快速且空间范围广泛的数据,并有效地测量植物群落对不同处理的结构响应。研究结果表明,将无人机飞行与有针对性的实地数据收集相结合,可最大限度地提高恢复后植被监测的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/5403916/bfa77edee210/fpls-08-00619-g0001.jpg

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