A Whittaker Biome‐Based Framework to Account for the Impact of Climate Change on Catchment Behavior

Deshmukh, Ankit; Singh, Riddhi

doi:10.1029/2018wr023113

Cited by 12 publications

(11 citation statements)

References 43 publications

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“…1a, b). We projected MAT and MAP at sampling sites in a Whittaker biome plot to show how plant biomes are distributed in association with long-term precipitation and temperature [25]. We collected climate data with a high temporal and spatial resolution from 2007 to 2013.…”

Section: Introductionmentioning

confidence: 99%

Temperature and Precipitation Drive Elevational Patterns of Microbial Beta Diversity in Alpine Grasslands

Yang

Niu

et al. 2021

Microb Ecol

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Understanding the mechanisms underlying biodiversity patterns is a central issue in ecology, while how temperature and precipitation jointly control the elevational patterns of microbes is understudied. Here, we studied the effects of temperature, precipitation and their interactions on the alpha and beta diversity of soil archaea and bacteria in alpine grasslands along an elevational gradient of 4,300-5,200 m on the Tibetan Plateau. Alpha diversity was examined on the basis of species richness and evenness, and beta diversity was quanti ed with the recently developed metric of local contributions to beta diversity (LCBD).Typical alpine steppe and meadow ecosystems were distributed below and above 4,850 m, respectively, which was consistent with the two main constraints of mean annual temperature (MAT) and mean annual precipitation (MAP). Species richness and evenness showed decreasing elevational patterns in archaea and nonsigni cant or U-shaped patterns in bacteria. The LCBD of both groups exhibited signi cant U-shaped elevational patterns, with the lowest values occurring at 4,800 m. For the three diversity metrics, soil pH was the primary explanatory variable in archaea, explaining over 20.1% of the observed variation, whereas vegetation richness, total nitrogen and the K/Al ratio presented the strongest effects on bacteria, with relative importance values of 16.1%, 12.5% and 11.6%, respectively. For the microbial community composition of both archaea and bacteria, the moisture index showed the dominant effect, explaining 17.6% of the observed variation, followed by MAT and MAP. Taken together, temperature and precipitation exerted considerable indirect effects on microbial richness and evenness through local environmental and energy supply-related variables, such as vegetation richness, whereas temperature exerted a larger direct in uence on LCBD and the community composition. Our ndings highlighted the profound in uence of temperature and precipitation interactions on microbial beta diversity in alpine grasslands on the Tibetan Plateau.

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Section: Introductionmentioning

confidence: 99%

Temperature and Precipitation Drive Elevational Patterns of Microbial Beta Diversity in Alpine Grasslands

Yang

Niu

et al. 2021

Microb Ecol

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“…Significant evidence has emerged to suggest that many conceptual hydrologic models calibrated on dry (wet) periods show biases when used for projecting hydrology in wet (dry) periods (Coron et al, 2014; Dakhlaoui et al, 2017; Fowler et al, 2016; Li et al, 2012; Merz et al, 2011; Saft et al, 2016; Vaze et al, 2010). Therefore, frameworks of changing parameters were developed under different climate change scenarios (Deshmukh & Singh, 2019; Bai et al, 2021). Alternatively, modelling studies of physics‐based models have shown the important role of groundwater in catchment processes (Condon, Atchley, & Maxwell, 2020; Condon, Markovich, et al, 2020; Soulsby et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Assess hydrological responses to a warming climate at the Lysina Critical Zone Observatory in Central Europe

Zheng

Lamačová

et al. 2021

Hydrological Processes

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Climate warming is having profound effects on the hydrological cycle by increasing atmospheric demand, changing water availability, and snow seasonality. Europe suffered three distinct heat waves in 2019, and 11 of the 12 hottest years ever recorded took place in the past two decades, which will potentially change seasonal streamflow patterns and long-term trends. Central Europe exhibited six dry years in a row since 2014. This study uses data from a well-documented headwater catchment in Central Europe (Lysina) to explore hydrological responses to a warming climate.We applied a lumped parameter hydrologic model Brook90 and a distributed model Penn State Integrated Hydrologic Model (PIHM) to simulate long-term hydrological change under future climate scenarios. Both models performed well on historic streamflow and in agreement with each other according to the catchment water budget. In addition, PIHM was able to simulate lateral groundwater redistribution within the catchment validated by the groundwater table dynamics. The long-term trends in runoff and low flow were captured by PIHM only. We applied different EURO-CORDEX models with two emission scenarios (Representative Concentration Pathways RCP 4.5, 8.5) and found significant impacts on runoff and evapotranspiration (ET) for the period of 2071-2100. Results from both models suggested reduced runoff and increased ET, while the monthly distribution of runoff was different. We used this catchment study to understand the importance of subsurface processes in projection of hydrologic response to a warming climate.

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“…Our approach begins by applying a 12-parameter rainfall-runoff model over each watershed 's historical (1980-1990) climate to obtain behavioral parameter sets (Section 2.1). Following Deshmukh and Singh (2019), we update all behavioral parameter sets for each watershed that undergoes a climate-induced biome transition. The updated sets are used to simulate runoff in the postchange analysis period of 1999-2009.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Deshmukh and Singh (2019) proposed a TSFT approach based on the Whittaker‐biome plot (Whittaker, 1970). This plot is based on the biological concept of convergence—similar environmental conditions lead to the evolution of adaptations that result in resemblance between unrelated organisms (Ricklefs, 2008).…”

Section: Introductionmentioning

confidence: 99%

Improving Rainfall‐Runoff Model Reliability Under Nonstationarity of Model Parameters: A Hypothesis Testing Based Framework

Vora

Singh

2022

Water Resources Research

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Rainfall‐runoff models are used to project the impact of climate change on water resources. Often, models are parameterized over historical climate prior to simulating runoff under changed climates. An increasing body of literature indicates that this assumption of model parameter invariance to climate can introduce significant simulation biases as projected climate deviates from historical climate. One way to consider the effect of climate on model parameterization is to regionalize model parameters using historical data and use that information to project parameters’ probable distribution under a changed climate. These approaches, termed trading space‐for‐time (TSFT), have shown promising results when simulating mean annual runoff, but their ability to reproduce time varying daily runoff response remains unexplored. Here, we design experiments to identify possible ways to account for the influence of climate on model parameters by building upon a recently developed Whittaker‐biome‐based TSFT framework. We perform 35 experiments, each representing different hypotheses regarding how model parameters may be altered with climate. We test these hypotheses for seven watersheds across the conterminous United States that undergo significant climate change between 1980–1990 and 1999–2009. Our results show that updated parameters for the best experiment increased median Nash–Sutcliffe Efficiency for the two most climate‐impacted watersheds in our analyses from 0.37 to 0.35 to 0.64 and 0.49, respectively. Improvements in simulation performance for watersheds transitioning from the boreal forest and the woodland/shrubland biomes to the temperate seasonal forest biome were attributed to altered snow and routing parameters, respectively.

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A Whittaker Biome‐Based Framework to Account for the Impact of Climate Change on Catchment Behavior

Cited by 12 publications

References 43 publications

Temperature and Precipitation Drive Elevational Patterns of Microbial Beta Diversity in Alpine Grasslands

Temperature and Precipitation Drive Elevational Patterns of Microbial Beta Diversity in Alpine Grasslands

Assess hydrological responses to a warming climate at the Lysina Critical Zone Observatory in Central Europe

Improving Rainfall‐Runoff Model Reliability Under Nonstationarity of Model Parameters: A Hypothesis Testing Based Framework

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