Plant functional diversity and carbon storage - an empirical test in semi-arid forest ecosystems
Plant functional diversity and carbon storage - an empirical test in semi-arid forest ecosystems
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DOI：
10.1111/1365-2745.12012
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发表时间：
2013-01-01
影响因子：
5.5
通讯作者：
Diaz, Sandra
中科院分区：
文献类型：
--
作者：
Conti, Georgina;Diaz, Sandra
1.植被和土壤中的碳储存通过碳固存支持气候调节。由于植物物种捕获、储存和释放碳的能力不同，植物群落的集体功能特征（功能多样性）应该是陆地生态系统碳积累的主要驱动力。植物功能多样性的三个主要组成部分可以作为生态系统碳储量的驱动因素：最丰富的功能性状值、功能性状值的多样性和可能具有前两个组成部分所没有的额外效应的特定物种的丰富度.我们测试了这些组件之间的关联和碳储量在阿根廷的查科森林在相同的气候和高度相似的亲本材料的16个站点。不同的长期土地利用方式导致了不同立地的植物功能多样性差异.我们测量了27个物种的6个植物功能性状，并通过每个站点的物种丰度对它们进行加权，以计算每个单一性状和多个性状的群落加权平均值（CWM）和功能分歧（FDvar）。我们还测量了植物和土壤的碳储量。使用逐步多元回归分析，我们评估了哪些功能多样性组分最能解释碳储量。在多个模型中，株高和木材比重的CWM和FDvar都被保留为碳储量的预测因子，但没有叶片性状。茎秆性状的FDvar和FDiv与碳贮量均呈负相关。五种物种的丰度提高了一些碳储量模型的预测能力。合成.植物功能多样性的所有三个主要组成部分都有助于解释碳储存。在这些生态系统中，对碳储存最重要的是植物的相对丰度，这些植物的茎高，密度较小，在这些值附近的变化范围很窄。没有一致的碳储量和叶片性状之间的联系，通常与植物资源利用策略。性状分化与碳储量的负相关没有提供支持生态位互补促进这些森林生态系统碳储量的证据。
1. Carbon storage in vegetation and soil underpins climate regulation through carbon sequestration. Because plant species differ in their ability to capture, store and release carbon, the collective functional characteristics of plant communities (functional diversity) should be a major driver of carbon accumulation in terrestrial ecosystems.2. Three major components of plant functional diversity could be put forward as drivers of carbon storage in ecosystems: the most abundant functional trait values, the variety of functional trait values and the abundance of particular species that could have additional effects not incorporated in the first two components.3. We tested for associations between these components and carbon storage across 16 sites in the Chaco forest of Argentina under the same climate and on highly similar parental material. The sites differed in their plant functional diversity caused by different long-term land-use regimes.4. We measured six plant functional traits in 27 species and weighted them by the species abundance at each site to calculate the community-weighted mean (CWM) and the functional divergence (FDvar) of each single trait and of multiple traits (FDiv). We also measured plant and soil carbon storage. Using a stepwise multiple regression analysis, we assessed which of the functional diversity components best explained carbon storage.5. Both CWM and FDvar of plant height and wood-specific gravity, but no leaf traits, were retained as predictors of carbon storage in multiple models. Relationships of FDvar of stem traits and FDiv with carbon storage were all negative. The abundance of five species improved the predictive power of some of the carbon storage models.6. Synthesis. All three major components of plant functional diversity contributed to explain carbon storage. What matters the most to carbon storage in these ecosystems is the relative abundance of plants with tall, and to a lesser extent dense, stems with a narrow range of variation around these values. No consistent link was found between carbon storage and the leaf traits usually associated with plant resource use strategy. The negative association of trait divergence with carbon storage provided no evidence in support to niche complementarity promoting carbon storage in these forest ecosystems.