Absence of winter and spring monsoon changes water level and rapidly shifts metabolism in a subtropical lake

Tsai, Jeng‐Wei; Kratz, Timothy K.; Rusak, James A.; Shih, Wan-Yu; Liu, Wen‐Cheng; Tang, Sen-Lin; Chiu, Chih‐Yu

doi:10.1080/iw-6.3.844

Cited by 13 publications

(10 citation statements)

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“…The more heterotrophic prairie pond had a much greater contact between the bottom of the pond and the water than the woodland pond (bottom surface area:volume ratio is 3.9 m ¡1 for the prairie pond compared to 1.1 m ¡1 for the woodland pond) which is likely partially responsible for the high frequency of periods of nighttime hypoxia. Tsai et al (2016) found that NEP decreased with decreases in water level in a mesotrophic subtropical lake, likely due to a change in stratification pattern and the concentration of nutrients in a lower volume lake. Most of the change was attributed however to a greater reduction in R than an increase in GPP.…”

Section: Discussionmentioning

confidence: 91%

Comparison of ecosystem processes in a woodland and prairie pond with different hydroperiods

Hornbach

Hove

Ensley-Field

et al. 2017

Journal of Freshwater Ecology

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Shallow lakes and ponds constitute a significant number of water bodies worldwide. Many are heterotrophic, indicating that they are likely net contributors to global carbon cycling. Climate change is likely to have important impacts on these waterbodies. In this study, we examined two small Minnesota ponds; a permanent woodland pond and a temporary prairie pond. The woodland pond had lower levels of phosphorus and phytoplankton than the prairie pond. Using the open water oxygen method, we found the prairie pond typically had a higher level of gross primary production (GPP) and respiration (R) than the woodland pond, although the differences between the ponds varied with season. Despite the differences in GPP and R between the ponds the net ecosystem production was similar with both being heterotrophic. Since abundant small ponds may play an important role in carbon cycling and are likely to undergo changes in temperature and hydroperiod associated with climate change, understanding pond metabolism is critical in predicting impacts and designing management schemes to mitigate changes.

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Section: Discussionmentioning

confidence: 91%

Comparison of ecosystem processes in a woodland and prairie pond with different hydroperiods

Hornbach

Hove

Ensley-Field

et al. 2017

Journal of Freshwater Ecology

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“…Hence, higher lake levels of Cueifong Lake during strong EAWM phases lead to dilution of dissolved nutrients and a decrease in aquatic productivity. In contrast, a weaker EAWM leads to lower lake levels and increase in dissolved nutrients content that will support aquatic productivity (Tsai et al, 2016). P aq and EM 2 show a positive relationship, which supports that both proxies independently reflect an EAWM signal, with an increase in P aq and in EM 2 during weak EAWM phases.…”

Section: Discussionmentioning

confidence: 99%

East Asian winter monsoon variation during the last 3000 years as recorded in a subtropical mountain lake, northeastern Taiwan

et al. 2021

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The East Asian Winter Monsoon (EAWM) is a fundamental part of the global monsoon system that affects nearly one-quarter of the world’s population. Robust paleoclimate reconstructions in East Asia are complicated by multiple sources of precipitation. These sources, such as the EAWM and typhoons, need to be disentangled in order to understand the dominant source of precipitation influencing the past and current climate. Taiwan, situated within the subtropical East Asian monsoon system, provides a unique opportunity to study monsoon and typhoon variability through time. Here we combine sediment trap data with down-core records from Cueifong Lake in northeastern Taiwan to reconstruct monsoonal rainfall fluctuations over the past 3000 years. The monthly collected grain-size data indicate that a decrease in sediment grain size reflects the strength of the EAWM. End member modelling analysis (EMMA) on sediment core and trap data reveals two dominant grain-size end-members (EMs), with the coarse EM 2 representing a robust indicator of EAWM strength. The downcore variations of EM 2 show a gradual decrease over the past 3000 years indicating a gradual strengthening of the EAWM, in agreement with other published EAWM records. This enhanced late-Holocene EAWM can be linked to the expansion of sea-ice cover in the western Arctic Ocean caused by decreased summer insolation.

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“…In tropical South America, for example, increased fire frequency is expected to cause a substantial reduction in tree cover and expand the forest-savanna transitional area, under less favorable climate conditions [47]. Similarly, an increased frequency of drought events in a sub-tropical lake was coincident with increased variance in net ecosystem production in the lake [48]. Storm events are also predicted to increase their frequency and extent under a changing climate and to the extent this will affect both terrestrial and aquatic ecosystems, the modelled increase in variance suggests an impairment of our ability to predict ecosystem response [4].…”

Section: Discussionmentioning

confidence: 99%

Stochastic disturbance regimes alter patterns of ecosystem variability and recovery

Fraterrigo¹,

Langille²,

Rusak³

2020

PLoS ONE

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Altered ecosystem variability is an important ecological response to disturbance yet understanding of how various attributes of disturbance regimes affect ecosystem variability is limited. To improve the framework for understanding the disturbance regime attributes that affect ecosystem variability, we examine how the introduction of stochasticity to disturbance parameters (frequency, severity and extent) alters simulated recovery when compared to deterministic outcomes from a spatially explicit simulation model. We also examine the agreement between results from empirical studies and deterministic and stochastic configurations of the model. We find that stochasticity in disturbance frequency and spatial extent leads to the greatest increase in the variance of simulated dynamics, although stochastic severity also contributes to departures from the deterministic case. The incorporation of stochasticity in disturbance attributes improves agreement between empirical and simulated responses, with 71% of empirical responses correctly classified by stochastic configurations of the model as compared to 47% using the purely deterministic model. By comparison, only 2% of empirical responses were correctly classified by the deterministic model and misclassified by stochastic configurations of the model. These results indicate that stochasticity in the attributes of a disturbance regime alters the patterns and classification of ecosystem variability, suggesting altered recovery dynamics. Incorporating stochastic disturbance processes into models may thus be critical for anticipating the ecological resilience of ecosystems. OPEN ACCESS Citation: Fraterrigo JM, Langille AB, Rusak JA (2020) Stochastic disturbance regimes alter patterns of ecosystem variability and recovery. PLoS ONE 15(3): e0229927. https://doi.

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Absence of winter and spring monsoon changes water level and rapidly shifts metabolism in a subtropical lake

Cited by 13 publications

References 1 publication

Comparison of ecosystem processes in a woodland and prairie pond with different hydroperiods

Comparison of ecosystem processes in a woodland and prairie pond with different hydroperiods

East Asian winter monsoon variation during the last 3000 years as recorded in a subtropical mountain lake, northeastern Taiwan

Stochastic disturbance regimes alter patterns of ecosystem variability and recovery

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