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首页> 外文期刊>The Journal of Ecology >Demographic back-casting reveals that subtle dimensions of climate change have strong effects on population viability
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Demographic back-casting reveals that subtle dimensions of climate change have strong effects on population viability

机译:人口背面铸造表明,气候变化的微妙尺寸对人口活力有很大影响

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摘要

The effects of climate change on population viability reflect the net influence of potentially diverse responses of individual-level demographic processes (growth, survival, regeneration) to multiple components of climate. Articulating climate-demography connections can facilitate forecasts of responses to future climate change as well as back-casts that may reveal how populations responded to historical climate change. We studied climate-demography relationships in the cactusCyclindriopuntia imbricata; previous work indicated that our focal population has high abundance but a negative population growth rate, where deaths exceed births, suggesting that it persists under extinction debt. We parameterized a climate-dependent integral projection model with data from a 14-year field study, then back-casted expected population growth rates since 1900 to test the hypothesis that recent climate change has driven this population into extinction debt. We found clear patterns of climate change in our central New Mexico study region but, contrary to our hypothesis,C. imbricatahas most likely benefitted from recent climate change and is on track to reach replacement-level population growth within 37 years, or sooner if climate change accelerates. Furthermore, the strongest feature of climate change (a trend towards years that are overall warmer and drier, captured by the first principal component of inter-annual variation) was not the main driver of population responses. Instead, temporal trends in population growth were dominated by more subtle, seasonal climatic factors with relatively weak signals of recent change (wetter and milder cool seasons, captured by the second and third principal components). Synthesis. Our results highlight the challenges of back-casting or forecasting population dynamics under climate change, since the most apparent features of climate change may not be the most important drivers of ecological responses. Environmentally explicit demographic models can help meet this challenge, but they must consider the magnitudes of different aspects of climate change alongside the magnitudes of demographic responses to those changes.
机译:气候变化对人口活力的影响反映了个体级别人口统计过程(生长,生存,再生)对气候的多种组成部分的潜在不同反应的净影响。铰接式气候人口统计地连接可以促进对未来气候变化以及可能揭示人口如何应对历史气候变化的回应的反应。我们研究了Cactuscyclindriopuntia Imbricata的气候数据关系;以前的工作表明,我们的焦点群体具有高丰度,但死亡人口增长率超过了诞生,这表明它在灭绝债务下仍然存在。我们将气候依赖的整体投影模型参数化,从19岁的现场研究中的数据进行了数据,然后回到了预期的预期人口增长率以来,从1900年开始测试最近的气候变化使这一人民陷入灭绝债务的假设。我们发现了我们新墨西哥州中部学习区域的清晰模式,但与我们的假设相反,C。 Imbricatahas最有可能受益于最近的气候变化,并在37年内达到更换级别的人口增长,如果气候变化加速,则迅速达到更换级别的人口增长。此外,气候变化的最强大特征(跨越年度变异的第一个主要成员的趋势,捕获的趋势是整体温暖的,捕获的趋势)不是人口反应的主要驱动因素。相反,人口增长的时间趋势是由更细微的,季节性气候因素的主导,最近发生变化的相对较弱的信号(较湿更潮湿的酷季,由第二和第三主成分捕获)。合成。由于气候变化最明显的特征,我们的结果突出了背部铸造或预测人口动态的挑战,因为气候变化的最明显的特征可能不是生态反应最重要的驱动因素。环境明确的人口统计模型可以帮助满足这一挑战,但他们必须考虑气候变化的不同方面的大小与这些变化的人口统计响应的大小。

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