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首页> 外文期刊>Estuarine Coastal and Shelf Science >Climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes
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Climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes

机译：西北太平洋潮汐沼泽地区植物峰值生物量和生长物候的气候相关变化

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摘要

The interannual variability of tidal marsh plant phenology is largely unknown and may have important ecological consequences. Marsh plants are critical to the biogeomorphic feedback processes that build estuarine soils, maintain marsh elevation relative to sea level, and sequester carbon. We calculated Tasseled Cap Greenness, a metric of plant biomass, using remotely sensed data available in the Landsat archive to assess how recent climate variation has affected biomass production and plant phenology across three maritime tidal marshes in the Pacific Northwest of the United States. First, we used clipped vegetation plots at one of our sites to confirm that tasseled cap greenness provided a useful measure of aboveground biomass (r(2) = 0.72). We then used multiple measures of biomass each growing season over 20-25 years per study site and developed models to test how peak biomass and the date of peak biomass varied with 94 climate and sea-level metrics using generalized linear models and Akaike Information Criterion (AIC) model selection. Peak biomass was positively related to total annual precipitation, while the best predictor for date of peak biomass was average growing season temperature, with the peak 7.2 days earlier per degree C. Our study provides insight into how plants in maritime tidal marshes respond to interannual climate variation and demonstrates the utility of time-series remote sensing data to assess ecological responses to climate stressors. Published by Elsevier Ltd.
机译：潮汐沼泽植物物候的年际变化很大程度上是未知的，并且可能具有重要的生态后果。沼泽植物对于建立河口土壤，维持沼泽相对于海平面的海拔以及封存碳的生物地貌反馈过程至关重要。我们使用Landsat档案库中的遥感数据计算了Tasseled Cap Greenness（一种衡量植物生物量的指标），以评估近期气候变化如何影响了美国西北太平洋三处海潮沼泽地的生物量生产和植物物候。首先，我们在一个站点上使用修剪的植被图来确认流苏帽的绿色度是地上生物量的有效度量（r（2）= 0.72）。然后，我们在每个研究地点的每个生长季节20-25年内对生物量进行多种测量，并使用广义线性模型和Akaike信息准则（Akaike Information Criterion）开发了模型，以测试94种气候和海平面度量标准下的峰值生物量和峰值生物量的日期（ AIC）模型选择。峰值生物量与年总降水量呈正相关，而峰值生物量日期的最佳预测指标是平均生长季节温度，峰值为每摄氏度7.2天。我们的研究提供了海洋潮汐沼泽植物如何应对年际气候的见解。变化并证明了时序遥感数据在评估对气候压力源的生态响应中的作用。由Elsevier Ltd.发布

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