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气候变化还是土地利用动态:我们知道气候变化指标表明了什么吗?

Climate change or land use dynamics: do we know what climate change indicators indicate?

机构信息

Grup d'Ecologia del Paisatge, Àrea de Biodiversitat, Centre Tecnològic Forestal de Catalunya, Solsona, Catalonia, Spain.

出版信息

PLoS One. 2011 Apr 21;6(4):e18581. doi: 10.1371/journal.pone.0018581.

Abstract

Different components of global change can have interacting effects on biodiversity and this may influence our ability to detect the specific consequences of climate change through biodiversity indicators. Here, we analyze whether climate change indicators can be affected by land use dynamics that are not directly determined by climate change. To this aim, we analyzed three community-level indicators of climate change impacts that are based on the optimal thermal environment and average latitude of the distribution of bird species present at local communities. We used multiple regression models to relate the variation in climate change indicators to: i) environmental temperature; and ii) three landscape gradients reflecting important current land use change processes (land abandonment, fire impacts and urbanization), all of them having forest areas at their positive extremes. We found that, with few exceptions, landscape gradients determined the figures of climate change indicators as strongly as temperature. Bird communities in forest habitats had colder-dwelling bird species with more northern distributions than farmland, burnt or urban areas. Our results show that land use changes can reverse, hide or exacerbate our perception of climate change impacts when measured through community-level climate change indicators. We stress the need of an explicit incorporation of the interactions between climate change and land use dynamics to understand what are current climate change indicators indicating and be able to isolate real climate change impacts.

摘要

不同的全球变化因素会对生物多样性产生相互影响,这可能会影响我们通过生物多样性指标来检测气候变化具体影响的能力。在这里,我们分析了气候变化指标是否会受到土地利用动态的影响,而这些动态并非直接由气候变化决定。为此,我们分析了基于鸟类物种最佳热环境和分布平均纬度的三种基于群落水平的气候变化影响指标。我们使用多元回归模型将气候变化指标的变化与:i)环境温度;以及 ii)三个景观梯度联系起来,这些梯度反映了当前重要的土地利用变化过程(土地废弃、火灾影响和城市化),所有这些过程都以森林地区为正极端。我们发现,除了少数例外情况,景观梯度与温度一样强烈地决定了气候变化指标的数值。森林生境中的鸟类群落栖息着比农田、燃烧区或城市区更寒冷、分布更靠北的鸟类物种。我们的研究结果表明,当通过群落水平的气候变化指标来衡量时,土地利用变化可以逆转、隐藏或加剧我们对气候变化影响的感知。我们强调需要明确纳入气候变化和土地利用动态之间的相互作用,以了解当前的气候变化指标所指示的内容,并能够隔离真正的气候变化影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0174/3080866/27ed7b19f022/pone.0018581.g001.jpg

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