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Detecting vegetation cover change on the summit of Cadillac Mountain using multi-temporal remote sensing datasets: 1979,2001, and 2007

机译:使用多时相遥感数据集检测凯迪拉克山顶的植被覆盖变化:1979、2001和2007

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This study examines the efficacy of management strategies implemented in 2000 to reduce visitor-induced vegetation impact and enhance vegetation recovery at the summit loop trail on Cadillac Mountain at Acadia National Park, Maine. Using single-spectral high-resolution remote sensing datasets captured in 1979, 2001, and 2007, pre-classification change detection analysis techniques were applied to measure fractional vegetation cover changes between the time periods. This popular sub-alpine summit with low-lying vegetation and attractive granite outcrop-pings experiences dispersed visitor use away from the designated trail, so three pre-defined spatial scales (small, 0-30 m; medium, 0-60 m; and large, 0-90 m) were examined in the vicinity of the summit loop trail with visitor use (experimental site) and a site chosen nearby in a relatively pris- tine undisturbed area (control site) with similar spatial scales. Results reveal significant changes in terms of rates of vegetation impact between 1979 and 2001 extending out to 90 m from the summit loop trail with no management at the site. No significant differences were detected among three spatial zones (inner, 0-30 m; middle, 30-60 m; and outer, 60-90 m) at the experimental site, but all were significantly higher rates of impact compared to similar spatial scales at the control site (all p < 0.001). In contrast, significant changes in rates of recovery between 2001 and 2007 were observed in the medium and large spatial scales at the experimental site under management as compared to the control site (all p < 0.05). Also during this later period a higher rate of recovery was observed in the outer zone as compared to the inner zone at the experimental site (p < 0.05). The overall study results suggest a trend in the desired direction for the site and visitor management strategies designed to reduce vegetation impact and enhance vegetation recovery at the summit loop trail of Cadillac Mountain since 2000. However, the vegetation recovery has been rather minimal and did not reach the level of cover observed during the 1979 time period. In addition, the advantages and some limitations of using remote sensing technologies are discussed in detecting vegetation change in this setting and potential application to other recreation settings.
机译:这项研究考察了2000年实施的管理策略在缅因州阿卡迪亚国家公园的凯迪拉克山山顶环路上减少游客引起的植被影响并增强植被恢复的有效性。使用1979、2001和2007年捕获的单光谱高分辨率遥感数据集,应用预分类变化检测分析技术来测量各个时间段之间植被覆盖率的变化。这个受欢迎的亚高山峰顶植被低洼,花岗岩露头吸引人,游客分散使用指定路线,因此三个预先定义的空间范围(小,0-30 m;中,0-60 m;以及在山顶环径附近测试了0-90 m宽),以供访客使用(实验地点),并在相对原始的不受干扰区域(控制地点)附近选择地点,且空间规模相似。结果表明,从1979年到2001年,植被覆盖率从山顶环路延伸至90 m,没有现场管理,植被变化率发生了显着变化。在实验地点的三个空间区域(内部0-30 m;中间30-60 m;外部60-90 m)之间未检测到显着差异,但与相似的空间尺度相比,所有区域的撞击率均显着更高在对照部位(所有p <0.001)。相比之下,在2001年至2007年之间,在受管理的实验地点与对照地点相比,在中型和大型空间尺度上观察到恢复率的显着变化(所有p <0.05)。同样在此后期,与实验部位的内部区域相比,外部区域的回收率更高(p <0.05)。总体研究结果表明,自2000年以来,旨在减少凯迪拉克山顶环路上的植被影响并增强植被恢复的场地和游客管理策略朝着理想的方向发展。但是,植被恢复一直很小,并且没有达到1979年期间观察到的掩盖水平。此外,还讨论了使用遥感技术的优点和一些局限性,以检测该环境中的植被变化以及在其他娱乐场所中的潜在应用。

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