Coupled water-carbon modelling in data-limited sites: a new approach to explore future agroforestry scenarios DOI Creative Commons
Salim Goudarzi, Chris Soulsby, Jo Smith

et al.

Published: July 31, 2024

Abstract. Agroforestry is considered an important strategy for mitigating against, and adapting to, climate change. Questions yet remain regarding the potential impacts of different tree species on water/carbon cycling at locations, scales under climatic conditions. There urgent need numerical models capable quantifying agroforestry a host ecosystem services including carbon sequestration soil water/river flow regulation. A key challenge in modelling systems that they depend heavily moisture as main driver many biogeochemical processes. Soil itself highly variable with properties (and therefore location) but also depth. Given target sites are often ungauged, location-specific must inevitably rely only data available from satellites and/or nearby weather stations which do not typically cover subsurface, i.e., there incommensurability between data-availability system complexity. To overcome this, we propose RSEEP, new ecohydrological model requires rainfall, evapotranspiration, surface its calibration. We demonstrate RSEEP’s capability water site Scotland where observations depths vegetation types. then couple RSEEP to well-known RothC (i) test RothC’s sensitivity method, (ii) simulate water-carbon dynamics three silvo-pastoral (all 400 stems/ha density) Scotland; these are: evergreen conifer (Scots Pine), deciduous (Hybrid Larch), broadleaf (Sycamore) trees. find more accurate accounting methods can significantly overestimate stocks. Under current future pathway (RCP6.0), 40 years after planting trees, above+below ground storage be 2–5 times (100–250 t/ha) higher silvo-pasture than pasture depending species, Larch having highest Sycamore lowest. exhibits preserving drier conditions, Pine shows river regulation both wet dry conditions our site. The choice should made site-specifically based service management priorities/objectives. Examining scenarios drought- flood-relevant logical next step.

Language: Английский

Seasonal and Inter‐Annual Dynamics in Water Quality and Stream Metabolism in a Beaver‐Impacted Drought‐Sensitive Lowland Catchment DOI Creative Commons
Famin Wang, Doerthe Tetzlaff, Christian Birkel

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(2)

Published: Feb. 1, 2025

ABSTRACT Increasing drought frequency and severity from climate change are causing streamflow to become increasingly intermittent in many areas. This has implications for the spatio‐temporal characteristics of water quality regimes which need be understood terms risks provision clean public supplies instream habitats. Recent advances sensor technology allow reliable accurate high‐resolution monitoring a growing number parameters. Here, we continuously monitored suite parameters over 3 years an stream network eutrophic, lowland Demnitzer Millcreek catchment, Germany. We focused on effects wetland systems impacted by beaver dams diurnal, seasonal inter‐annual variation dynamics at two sites, upstream downstream these wetlands. then used data model metabolism. Dissolved oxygen pH were higher wetlands, while conductivity, turbidity, chlorophyll phosphorous concentrations downstream. found clear diurnal cycling dissolved both sites. These correlated with hydroclimatic changes metabolism, becoming pronounced as temperatures increased flows decreased spring summer. Upstream wetlands this corresponded rapidly heterotrophic modelled Gross Primary Production (GPP) was exceeded Ecosystem Respiration (ER). Downstream, where GPP lower, usually strongly prone hypoxic conditions (i.e., insufficient oxygen) before ceased coincided lower velocities deeper channels Seasonal variations mainly correlate factors (particularly temperature) their influence streamflow. study highlights that heterotrophy hypoxia rivers central Europe is important feature streams agricultural landscapes continue leaching nutrients. insights contribute evidence base understanding how will affect quantity rural resources presence beavers requires management responses.

Language: Английский

Citations

1
Recent Developments and Emerging Challenges in Tracer‐Aided Modeling DOI Creative Commons
Hyekyeng Jung, Doerthe Tetzlaff, Christian Birkel

et al.

Wiley Interdisciplinary Reviews Water, Journal Year: 2025, Volume and Issue: 12(2)

Published: March 1, 2025

ABSTRACT During the last decade, tracer‐aided hydrological models (TAMs) have been applied in numerous studies and successfully evolved for different purposes. Such confirmed value of tracer data modeling, offering insights into internal storages, water sources, flow pathways, mixing processes, ages, which cannot be derived from hydrometric alone. The direct coupling tracers flux tracking balance can reduce model uncertainty through increased biogeochemical process knowledge. More specifically, such simultaneously capture celerity responses with velocities (and age) particles. As a result availability high‐resolution characterizing functioning across Critical Zone entire landscapes, together rapid improvement computing capacity, four major advances reshaped capability TAMs, we review this paper: (1) enhanced representation spatial heterogeneity, (2) more explicit conceptualization ecohydrological partitioning, (3) application to larger catchment scales, (4) incorporation non‐conservative coupled quality modeling. However, persistent challenges also emerged, particularly relation acquisition, mismatches between information content scale application, uncertainties structures, as well adaptation multi‐criteria calibration. In review, recent remaining TAMs summarized discussed particular focus on conservative models.

Language: Английский

Citations

0
Ecohydrological resilience and the landscape water storage continuum in droughts DOI
Doerthe Tetzlaff, Hjalmar Laudon, Shuxin Luo

et al.

Nature Water, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Language: Английский

Citations

3
The ecohydrology of rewilding: A pressing need for evidence in the restoration of upland Atlantic salmon streams DOI Creative Commons
Chris Soulsby,

A. F. Youngson,

J. Webb

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(5)

Published: May 1, 2024

Abstract Recent interest in landscape re‐wilding and ecological restoration has resulted a proliferation of large‐scale projects many countries that have the potential to cause significant ecohydrological change. In Scotland an increasing number watershed “restoration” schemes are motivated by declining Atlantic salmon populations threat climate These usually involve riparian planting shade streams re‐engineering river channels “enhance” habitat. However, need for, objectives of, these often highly uncertain there is no compelling scientific evidence suggest they likely be successful halting declines. Remarkably, ‐ which affect can rivers with highest conservation designations protected landscapes been subject limited environmental assessment. some cases, engineering activities pose risk juvenile salmon, existing high quality habitat may degraded streams. This commentary highlights urgent for more evidence‐based approaches management complex systems.

Language: Английский

Citations

2
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress DOI Creative Commons
Maria Magdalena Warter, Doerthe Tetzlaff, Christian Marx

et al.

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(11), P. 3907 - 3924

Published: Nov. 14, 2024

Abstract. Flow regimes are increasingly impacted by more extreme natural hazards of droughts and floods as a result climate change, compounded anthropogenic influences in both urban intensively managed rural catchments. However, the characteristics sustainable flow that needed to maintain or restore hydrologic, biogeochemical ecological functions under rapid global change remain unclear contested. We conducted an intercomparison two streams Berlin–Brandenburg region northeast Germany, which mesoscale subcatchments Spree river: intermittent agricultural stream (the Demnitzer Millcreek) heavily anthropogenically Panke). Through tracer-based analyses using stable water isotopes, we identified dominant physical processes (runoff sources, flowpaths age characteristics) sustaining streamflow over multiple years (2018–2023), including three major drought (2018–2020, 2021–2022). In stream, low flows regulated through artificially increased baseflow from treated wastewater effluents (by up 80 %), whilst storm drainage drives rapid, transient high-flow runoff responses (up %) intense convective summer rainfall. The groundwater-dominated experienced extended no-flow periods during (∼ 60 % year) only moderate coefficients (< 10 winter along near-surface paths after heavy streams, groundwater dominance with young influence prevails, ages despite significant higher ones 15 %). Urban cover resulted mean transit time ∼ 4 compared arable land at 3 years, highlighting interlinkages use catchment properties on times. Understanding seasonal interannual variability generation hydrological template has potential assess impacts sustainability future management, wider quality implications across environments.

Language: Английский

Citations

1
Assessing the Hydrological Response to Land Use Changes Linking SWAT and CA‐Markov Models DOI
Chongfeng Ren, Xiyun Deng, Hongbo Zhang

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(11)

Published: Nov. 1, 2024

ABSTRACT Land use change, as a major driving factor of watershed hydrological process, has significant influence on change. In addition, series models, important tools for simulating impacts, are widely employed in studying land However, when employing model to analyse the impacts changes, most previous studies focused evolution historical change and lacked reasonable predictions future use. Therefore, it is necessary extend such scenarios cope with possible variations basin. Given this, this paper making Wuwei section Shiyang River Basin study area, coupled SWAT (Soil Water Assessment Tool) simulation CA‐Markov (cellular automata‐Markov chain) prediction regional effects caused by changes. general directly uses system‐generated suitability atlas. contrast, applied logistic regression Multi‐criteria evaluation (MCE) methods construct atlas, thereby establishing Logistic‐CA‐Markov MCE‐CA‐Markov models. Based results, main results follows: (1) The area mainly grassland barren, accounting more than 80%. Additionally, forest changing at highest rate among all types. (2) terms percentage forest, predicted (Multi‐criteria evaluation‐cellular largest coverage (57.78%), whereas Logistic lowest (54.69%), indicating that former pays attention sustainable development ecological environment. (3) area's R 2 = 0.83, NSE 0.79, PBIAS −18.6%, validation 0.81, 0.76, −17.8% demonstrate favourable application model. (4) simulated runoff under scenarios, amount increasing would eventually rise water yield (WYLD) lateral (LATQ), subsurface (GWQ), reducing surface (SURQ). contributes better understanding impact resources balance, thus guiding management development.

Language: Английский

Citations

1
Hydrological connectivity drives intra- and inter-annual variation in water quality in an intermittent stream network in a mixed land use catchment under drought DOI Creative Commons
Famin Wang, Doerthe Tetzlaff, Tobias Goldhammer

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 648, P. 132420 - 132420

Published: Nov. 26, 2024

Language: Английский

Citations

1
Coupled water-carbon modelling in data-limited sites: a new approach to explore future agroforestry scenarios DOI Creative Commons
Salim Goudarzi, Chris Soulsby, Jo Smith

et al.

Published: July 31, 2024

Abstract. Agroforestry is considered an important strategy for mitigating against, and adapting to, climate change. Questions yet remain regarding the potential impacts of different tree species on water/carbon cycling at locations, scales under climatic conditions. There urgent need numerical models capable quantifying agroforestry a host ecosystem services including carbon sequestration soil water/river flow regulation. A key challenge in modelling systems that they depend heavily moisture as main driver many biogeochemical processes. Soil itself highly variable with properties (and therefore location) but also depth. Given target sites are often ungauged, location-specific must inevitably rely only data available from satellites and/or nearby weather stations which do not typically cover subsurface, i.e., there incommensurability between data-availability system complexity. To overcome this, we propose RSEEP, new ecohydrological model requires rainfall, evapotranspiration, surface its calibration. We demonstrate RSEEP’s capability water site Scotland where observations depths vegetation types. then couple RSEEP to well-known RothC (i) test RothC’s sensitivity method, (ii) simulate water-carbon dynamics three silvo-pastoral (all 400 stems/ha density) Scotland; these are: evergreen conifer (Scots Pine), deciduous (Hybrid Larch), broadleaf (Sycamore) trees. find more accurate accounting methods can significantly overestimate stocks. Under current future pathway (RCP6.0), 40 years after planting trees, above+below ground storage be 2–5 times (100–250 t/ha) higher silvo-pasture than pasture depending species, Larch having highest Sycamore lowest. exhibits preserving drier conditions, Pine shows river regulation both wet dry conditions our site. The choice should made site-specifically based service management priorities/objectives. Examining scenarios drought- flood-relevant logical next step.

Language: Английский

Citations

0