利用溪流溶解氧和光照关系估算山区源头溪流生态系统的溪流初级生产力

IF 2.5 3区 环境科学与生态学 Q2 ECOLOGY Ecohydrology Pub Date : 2024-08-08 DOI:10.1002/eco.2699
Sandra R. Villamizar, Catalina Segura, Dana R. Warren
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引用次数: 0

摘要

源头溪流会影响碳循环,但对其生产力的估算仍具有挑战性。我们建议使用溶解氧数据(饱和度百分比,DOsat)和现场光合有效辐射(PAR)数据来绘制 DOsat~PAR 曲线,以类比著名的光合作用-辐照度(P-E)曲线。我们研究的前提是,虽然这些曲线很简单,但它们提供了溪流生态系统生产力动态的详细信息。我们使用俄勒冈海岸山脉两条溪流的数据来研究每日总初级生产力(GPP)。我们利用 DOsat~PAR 回归曲线中光限制部分的特性,建立了一个估算 GPP 的模型。我们发现,DO-PAR 关系的斜率在 1.6 × 10-4 和 0.045 之间变化很大,并且具有很强的相关性(r2 > 0.78)。两个研究地点之一(橡树溪)的数据用于模型开发,而另一个地点(南岔米尔溪)的数据用于模型验证。通过比较贝叶斯框架(streamMetabolizer)计算出的 GPP 估计值和我们根据 DOsat~PAR 回归曲线的变化率得出的原始数据驱动的 GPP 估计值,检验了该模型量化离散暴雨事件对溪流生产力影响的能力。所提出的方法成功地估算了上游水域的 GPP。我们预计,这种方法可用于评估干扰,并构建对其他溪流生态系统生产力动态的基线认识,而不受当前溪流代谢模型方法学挑战的影响。
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Using stream dissolved oxygen and light relationships to estimate stream primary production on mountainous headwater stream ecosystems

Headwater streams influence the carbon cycle, but their productivity estimation remains challenging. We propose the use of dissolved oxygen data (% saturation, DOsat) and on-site photosynthetically active radiation (PAR) data to develop DOsat~PAR curves as an analogy to the well-known photosynthesis–irradiance (P–E) curves. The premise of our research is that although these curves are simple, they provide detailed information of stream ecosystem productivity dynamics. We used data from two streams in the Oregon Coast Range to investigate daily gross primary productivity (GPP). We used properties of the light-limited portion of the DOsat~PAR regression curves to produce a model to estimate GPP. We found that the slope of the DO–PAR relation varied widely between 1.6 × 10−4 and 0.045 and had strong correlations (r2 > 0.78). The data from one of the two study sites (Oak Creek) was used for model development while the data from the other site (South Fork Mill Creek) was used for model validation. The model's ability to quantify the effects of a discrete storm event on stream productivity was tested by comparing GPP estimates calculated through a Bayesian framework (streamMetabolizer) and our raw data-driven estimates of GPP which were based on the variability of the DOsat~PAR regression curves. The proposed methodology was successful in estimating GPP in headwaters. We foresee that this method may be used to assess disturbances and construct a baseline understanding of productivity dynamics in other headwater ecosystems that is independent of the methodological challenges of the current stream metabolism models.

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来源期刊
Ecohydrology
Ecohydrology 环境科学-生态学
CiteScore
5.10
自引率
7.70%
发文量
116
审稿时长
24 months
期刊介绍: Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management. Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.
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