Distinct latitudinal patterns of shifting spring phenology across the Appalachian Trail Corridor

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY Ecology Pub Date : 2024-08-28 DOI:10.1002/ecy.4403
Jordon C. Tourville, Georgia L. D. Murray, Sarah J. Nelson
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Abstract

Warming associated with climate change will advance the onset of spring phenology for many forest plants across the Eastern United States. Understory forbs and spring ephemerals that fix a disproportionate amount of carbon during early spring may be negatively affected by earlier canopy closure; however, information on the spatial patterns of phenological change for these communities is still lacking. To assess the potential for changes in spring phenological windows, we synthesized observations from the Appalachian Mountain Club's (AMCs) Mountain Watch (MW) project, the National Phenology Network (NPN), and AMC's iNaturalist projects between 2004 and 2022 (n = 118,250) across the length of the Appalachian Trail (AT) Corridor (34° N–46° N latitude). We used hierarchical Bayesian modeling to examine the sensitivity of spring flowering and leaf-out for 11 understory species and 14 canopy tree species to mean spring temperature (April–June). We conducted analyses across the AT Corridor, partitioned by regions of 4° latitude (south, mid-Atlantic, and north). Spring phenologies for both understory plants and canopy trees advanced with warming (~6 and ~3 days/°C, respectively). However, the sensitivity of each group varied by latitude, with the phenology of trees and understory plants advancing to a greater degree in the mid-Atlantic region (~10 days/°C) than in the southern or northern regions (~5 days/°C). While we find evidence that phenological windows remain stable in the southern and mid-Atlantic portions of the AT, we observed an expansion of the spring phenological window in the north where there was greater understory forb temperature sensitivity compared with trees (~2.7 days/°C). Our analyses indicate the differential sensitivity of forest plant phenology to potential warming across a large latitudinal gradient in the Eastern United States. Further, evidence for a temperature-driven expansion of the spring phenological window suggests a potential beneficial effect for understory plants in the northern AT, although phenological mismatch with potential pollinators and increased vulnerability to late winter frosts are possible. Using extensive citizen-science datasets allows us to synthesize regional- and continental-scale data to explore spatial and temporal trends in spring phenology related to warming. Such data can help to standardize approaches in phenological research and its application to forest climate resiliency.

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阿巴拉契亚步道走廊春季物候变化的不同纬度模式
气候变化带来的气候变暖将使美国东部许多森林植物的春季物候期提前。早春期间固定了大量碳的下层草本植物和春季瞬生植物可能会受到树冠提前关闭的不利影响;然而,有关这些群落物候变化空间模式的信息仍然缺乏。为了评估春季物候窗口可能发生的变化,我们综合了阿巴拉契亚山区俱乐部(AMCs)山区观察(MW)项目、国家物候网络(NPN)和阿巴拉契亚山区俱乐部 iNaturalist 项目在 2004 年至 2022 年期间对阿巴拉契亚步道走廊(北纬 34°-46°)的观测数据(n = 118,250 个)。我们使用分层贝叶斯模型研究了 11 种林下物种和 14 种冠层树种的春季开花和落叶对春季平均气温(4 月至 6 月)的敏感性。我们对整个大西洋海岸走廊进行了分析,按纬度 4° 的区域划分(南部、大西洋中部和北部)。随着气候变暖,林下植物和冠层树木的春季物候期均有所提前(分别为 ~6 天/°C 和 ~3 天/°C)。然而,每类植物的敏感性因纬度而异,大西洋中部地区树木和林下植物的物候期(~10 天/°C)比南部或北部地区(~5 天/°C)提前的程度更大。虽然我们发现有证据表明,大西洋海岸南部和大西洋中部的物候窗口保持稳定,但我们观察到北部的春季物候窗口有所扩大,与树木相比,那里的林下植物对温度的敏感性更高(约 2.7 天/°C)。我们的分析表明,在美国东部较大的纬度梯度上,森林植物物候对潜在变暖的敏感性不同。此外,由温度驱动的春季物候窗口扩大的证据表明,虽然与潜在授粉者的物候不匹配以及更容易受到冬末霜冻的影响,但对北部AT地区的林下植物来说可能是有益的。利用广泛的公民科学数据集,我们可以综合区域和大陆尺度的数据,探索与气候变暖有关的春季物候的空间和时间趋势。这些数据有助于规范物候研究方法及其在森林气候适应性方面的应用。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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