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结合水深来预测具有大深度梯度湖泊中沉水植物的崩溃和恢复阈值。

Integrating water depth to predict the threshold of collapse and recovery of submerged macrophytes for lakes with large depth gradients.

作者信息

Yu Yexin, Li Yehao, Wang Haijun, Su Haojie, Rao Qingyang, Liu Ying, Xie Ping

机构信息

Yunnan Key Laboratory of Ecological Protection and Resource Utilization of River-Lake Networks, Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, China.

Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China.

出版信息

Front Plant Sci. 2025 Feb 24;16:1541394. doi: 10.3389/fpls.2025.1541394. eCollection 2025.

Abstract

INTRODUCTION

The nutrient threshold of collapse and recovery of submerged macrophytes have been widely reported for shallow lakes. However, understanding the threshold variation for lakes with water depth (Z) gradients remains limited.

METHODS

In this study, based on a field investigation of 9 lakes with varying water depths and nutrient levels in the Yunnan Plateau, southwest of China, we integrated water depth to predict the nutrient threshold of collapse and recovery of submerged macrophytes in lakes.

RESULTS

Our results showed that: 1) Canopy-forming submerged macrophytes, i.e. and , had a higher resistance to high nutrients and turbidity; 2) Submerged macrophyte species richness had a significantly negative response to water depth, while biomass did not; 3) A multiplication of turbidity (Turb) with water depth provided the best explanation for the collapse and recovery of submerged macrophytes for lakes with large depth gradients compared to the single variables; 4) The thresholds of Z/Z were 0.06 for the collapse of submerged macrophytes and 0.53 for the recovery of submerged macrophytes; the corresponding thresholds were 81.6 and 9.92 NTU m for Turb*Z, respectively.

DISCUSSION

Our findings on the thresholds of macrophyte collapse and recovery are expected to provide quantitative guidance for lake restoration of diverse water depths.

摘要

引言

浅水湖泊中沉水植物崩溃和恢复的营养阈值已被广泛报道。然而,对于具有水深(Z)梯度的湖泊,其阈值变化的了解仍然有限。

方法

在本研究中,基于对中国西南部云南高原9个水深和营养水平各异的湖泊的实地调查,我们综合考虑水深来预测湖泊中沉水植物崩溃和恢复的营养阈值。

结果

我们的结果表明:1)形成冠层的沉水植物,即[具体植物名称未给出]和[具体植物名称未给出],对高营养和高浊度具有更高的抗性;2)沉水植物物种丰富度对水深有显著的负响应,而生物量则没有;3)与单一变量相比,浊度(Turb)与水深的乘积能最好地解释具有大深度梯度湖泊中沉水植物的崩溃和恢复情况;4)沉水植物崩溃时Z/Z的阈值为0.06,恢复时为0.53;Turb*Z的相应阈值分别为81.6和9.92 NTU m。

讨论

我们关于大型植物崩溃和恢复阈值的研究结果有望为不同水深湖泊的恢复提供定量指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428f/11891350/7c890afdc011/fpls-16-1541394-g001.jpg

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