根据富营养化风险对湖泊进行分类的全球类型学方法

IF 2 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Eirini Politi, Mark E. J. Cutler, Laurence Carvalho, John S. Rowan
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引用次数: 0

摘要

了解湖泊生态系统如何应对人为干扰和气候变化,对于采取适当的适应和补救措施以实现湖泊的可持续管理和保护至关重要。然而,湖泊富营养化的风险取决于湖泊系统的固有特征和生态行为。为了能够考虑到驱动湖泊系统变化的所有不同因素,需要制定一个分类方案,以确定湖泊对变化的适应力(或敏感度)等级。对于世界上大多数湖泊来说,缺乏应用这种方法的数据,这对绘制、监测和了解区域及全球湖泊在应对气候变化、土地利用/土地管理和进一步干扰压力时的表现有着深远的影响。在这项研究中,采用基于类型学的方法对湖泊富营养化风险进行了评估,该方法是利用来自全球 738 个湖泊及其集水区的遥感、建模和开放访问数据集开发的。新框架根据 (i) 湖泊对富营养化的自然敏感性以及 (ii) 湖泊对外部压力的适应能力对湖泊进行分类。独立的天基水质评估表明,富营养化风险较高的湖泊通常叶绿素-a 浓度较高,这为该方法提供了支持。虽然存在其他分类方案,但所提出方法的新颖之处在于它结合了解释变量(十个湖泊和集水区指标),制定了一个全球适用的框架。研究结果表明,93% 的研究地点显示出集水区在加速或减缓营养物质负荷方面对水体的低度至中度风险,而 6% 的研究地点显示出对这种外部影响的高度敏感性,即具有高富营养化率的风险潜力。了解每个水体预计富营养化或可能富营养化的速度,为预测人类压力和气候变化对湖泊系统现在和未来的影响提供了参考框架。对较为敏感的湖泊进行有针对性的监测,可确保不会错过可能发生不可逆转或破坏性水体变化的早期预警信号。因此,这一全球富营养化风险评估框架有助于更好地保障、管理和保护淡水资源,促进未来社会和生态系统的福祉以及可持续的经济增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A global typological approach to classify lakes based on their eutrophication risk

A global typological approach to classify lakes based on their eutrophication risk

A global typological approach to classify lakes based on their eutrophication risk

Understanding how lake ecosystems respond to anthropogenic disturbance and climate change is crucial to apply suitable adaptation and remediation measures for their sustainable management and protection. However, the risk of lake eutrophication is dependent upon inherent lake system characteristics and ecological behaviour. To be able to account for all the varying factors that drive changes in lake systems, a classification scheme that can assign levels of lake resilience (or sensitivity) to change is required. For most lakes around the world there is a lack of data to apply such an approach, with profound implications on the ability to map, monitor and understand regional and global lake behaviour in response to climate change, land use/land management and further disturbance pressures. In this study, lake eutrophication risk was assessed using a typology-based approach developed using remotely sensed, modelled and open access datasets from 738 lakes and their catchments worldwide. The new framework classifies lakes according to (i) their natural sensitivity to eutrophication and, by extension, (ii) their resilience to external pressures. Support for the approach is evidenced from independent space-based water quality assessment illustrating that lakes with higher risk of eutrophication typically exhibit higher chlorophyll-a concentrations. Whilst other classifications schemes exist, the novelty of the proposed approach is that it combines explanatory variables (ten lake and catchment metrics) to develop a framework with global applicability. Results showed that 93% of the study sites exhibited low-to-moderate risk of the catchment on the water body in terms of accelerating or slowing down nutrient loading, whereas 6% of the study sites exhibited high sensitivity to such external influence, i.e. risk potential for having high rates of eutrophication. Knowing the rate at which each water body is expected to, or could become, more eutrophic provides a frame of reference in the prediction of the effect of human pressures and climate change on lake systems, both now and in the future. Targeted monitoring of more sensitive lakes can ensure that early warning signs of potentially irreversible or damaging water body change will not be missed. This global risk eutrophication assessment framework can, therefore, help to better safeguard, manage and protect freshwater resources for future societal and ecosystem wellbeing and sustainable economic growth.

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来源期刊
Aquatic Sciences
Aquatic Sciences 环境科学-海洋与淡水生物学
CiteScore
3.90
自引率
4.20%
发文量
60
审稿时长
1 months
期刊介绍: Aquatic Sciences – Research Across Boundaries publishes original research, overviews, and reviews dealing with aquatic systems (both freshwater and marine systems) and their boundaries, including the impact of human activities on these systems. The coverage ranges from molecular-level mechanistic studies to investigations at the whole ecosystem scale. Aquatic Sciences publishes articles presenting research across disciplinary and environmental boundaries, including studies examining interactions among geological, microbial, biological, chemical, physical, hydrological, and societal processes, as well as studies assessing land-water, air-water, benthic-pelagic, river-ocean, lentic-lotic, and groundwater-surface water interactions.
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