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Defining functional biomes and monitoring their change globally

机译:定义功能性生物群落并在全球范围内监测其变化

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Biomes are important constructs for organizing understanding of how the worlds' major terrestrial ecosystems differ from one another and for monitoring change in these ecosystems. Yet existing biome classification schemes have been criticized for being overly subjective and for explicitly or implicitly invoking climate. We propose a new biome map and classification scheme that uses information on (i) an index of vegetation productivity, (ii) whether the minimum of vegetation activity is in the driest or coldest part of the year, and (iii) vegetation height. Although biomes produced on the basis of this classification show a strong spatial coherence, they show little congruence with existing biome classification schemes. Our biome map provides an alternative classification scheme for comparing the biogeochemical rates of terrestrial ecosystems. We use this new biome classification scheme to analyse the patterns of biome change observed over recent decades. Overall, 13% to 14% of analysed pixels shifted in biome state over the 30-year study period. A wide range of biome transitions were observed. For example, biomes with tall vegetation and minimum vegetation activity in the cold season shifted to higher productivity biome states. Biomes with short vegetation and low seasonality shifted to seasonally moisture-limited biome states. Our findings and method provide a new source of data for rigorously monitoring global vegetation change, analysing drivers of vegetation change and for benchmarking models of terrestrial ecosystem function.
机译:生物群落是重要的结构,用于组织对世界主要陆地生态系统之间的差异以及对这些生态系统变化的监视。然而,现有的生物群落分类方案被批评为过于主观,或者明示或暗示地引用了气候。我们提出了一种新的生物群落图和分类方案,该方案使用以下信息:(i)植被生产力指数;(ii)最低的植被活动是否在一年中最干旱或最冷的季节;以及(iii)植被高度。尽管基于此分类产生的生物群落显示出很强的空间连贯性,但与现有生物群落分类方案几乎没有一致性。我们的生物群落图提供了一种可供选择的分类方案,用于比较陆地生态系统的生物地球化学速率。我们使用这种新的生物群落分类方案来分析近几十年来观察到的生物群落变化模式。总体而言,在30年的研究期内,有13%至14%的被分析像素的生物群落状态发生了变化。观察到广泛的生物群落过渡。例如,在寒冷季节具有高植被和最低植被活动的生物群落转移到了生产力较高的生物群落状态。植被短,季节性低的生物群落转变为季节性水分受限的生物群落。我们的发现和方法为严格监测全球植被变化,分析植被变化的驱动力以及为陆地生态系统功能建立基准模型提供了新的数据来源。

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