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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Identifying land cover variability distinct from land cover change: Cheatgrass in the Great Basin
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Identifying land cover variability distinct from land cover change: Cheatgrass in the Great Basin

机译：识别不同于土地覆被变化的土地覆被变化：大盆地的草茅

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摘要

An understanding of land use/land cover change at local, regional, and global scales is important in an increasingly human-dominated biosphere. Here, we report on an under-appreciated complexity in the analysis of land cover change important in arid and semi-arid environments. In these environments, some land cover types show a high degree of inter-annual variability in productivity. In this study, we show that ecosystems dominated by non-native cheatgrass {Bromus tectorum} show an inter-annual amplified response to rainfall distinct from native shrub/bunch grass in the Great Basin, US. This response is apparent in time series of Landsat and Advanced Very High Resolution Radiometer (AVHRR) that encompass enough time to include years with high and low rainfall, Based on areas showing a similar amplified response elsewhere in the Great Basin, 20,000 km{sup}2, or 7% of land cover, are currently dominated by cheatgrass. Inter-annual patterns, like the high variability seen in cheatgrass-dominated areas, should be considered for more accurate land cover classification. Land cover change science should be aware that high inter-annual variability is inherent in annual dominated ecosystems and does not necessarily correspond to active land cover change.
机译：在越来越多的人为主导的生物圈中，了解地方，区域和全球范围内的土地利用/土地覆被变化非常重要。在此，我们报告了在干旱和半干旱环境下重要的土地覆被变化分析中被低估的复杂性。在这些环境中，某些土地覆被类型的生产力年际变化很大。在这项研究中，我们表明，以非本地无盖金枪鱼（Bromus tectorum）为主的生态系统对年降雨量的年际放大响应与美国大盆地的天然灌木/束草不同。该响应在Landsat和高级超高分辨率辐射计（AVHRR）的时间序列中很明显，该时间序列包含足够的时间以包括高低降雨的年份，基于大盆地其他地方20,000 km {sup}目前，草皮草占了2％或7％的土地覆盖率。为了更准确地进行土地覆被分类，应考虑采用年际模式，例如在以草茅草为主的地区中出现的高变异性。土地覆被变化科学应该意识到，年度主导的生态系统固有高的年际变化，不一定与活跃的土地覆被变化相对应。

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