Modelling long-term water yield effects of forest management in a Norway spruce forest

Yu, Xuan; Lamačová, Anna; Duffy, Christopher; Krám, Pavel; Hruška, Jakub; White, Tim; Bhatt, G.

doi:10.1080/02626667.2014.897406

Cited by 27 publications

(22 citation statements)

References 40 publications

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“…(ii) Meteorological data, which contained hourly precipitation, air temperature, wind speed, relative humidity and global radiation, were provided by the national meteorological service, the Czech Hydrometeorological Institute (CHMI). Hydrological observations included stream discharge data and groundwater level data (Yu et al, 2015). (iii) A soil map was provided by the Forest Management Institute (ÚHÚL) of the Czech Republic, Brandýs nad Labem, branch Karlovy Vary.…”

Section: Data Compilationmentioning

confidence: 99%

“…Due to the relatively simple topography, 455 irregular triangles and 37 linear segments of the stream channel were generated as the PIHM simulation domain (Yu et al, 2015). The average area of the triangles was 648.44 m 2 and the average length of the channels was 28.25 m (Fig.…”

Section: Data Compilationmentioning

confidence: 99%

“…A key research objective of SoilTrEC is to develop an integrated mathematical model of hydropedologic and ecohydrologic processes and functions (Banwart et al, 2011(Banwart et al, , 2012. Yu et al (2015) implemented PIHM at Lysina to examine the hydrological processes during managed forest land use for intensive silviculture. The modeling results qualitatively evaluated the impacts of different forest management scenarios on the hydrological regime at Lysina.…”

Section: Introductionmentioning

confidence: 99%

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Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Lamačová

Duffy

et al. 2016

Computers & Geosciences

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a b s t r a c tEvapotranspiration (ET) continues to be a difficult process to estimate in seasonal and long-term water balances in catchment models. Approaches to estimate ET typically use vegetation parameters (e.g., leaf area index [LAI], interception capacity) obtained from field observation, remote sensing data, national or global land cover products, and/or simulated by ecosystem models. In this study we attempt to quantify the uncertainty that spatial evapotranspiration estimation introduces into hydrological simulations when the age of the forest is not precisely known. The Penn State Integrated Hydrologic Model (PIHM) was implemented for the Lysina headwater catchment, located 50°03′N, 12°40′E in the western part of the Czech Republic. The spatial forest patterns were digitized from forest age maps made available by the Czech Forest Administration. Two ET methods were implemented in the catchment model: the Biome-BGC forest growth sub-model (1-way coupled to PIHM) and with the fixed-seasonal LAI method. From these two approaches simulation scenarios were developed. We combined the estimated spatial forest age maps and two ET estimation methods to drive PIHM. A set of spatial hydrologic regime and streamflow regime indices were calculated from the modeling results for each method. Intercomparison of the hydrological responses to the spatial vegetation patterns suggested considerable variation in soil moisture and recharge and a small uncertainty in the groundwater table elevation and streamflow. The hydrologic modeling with ET estimated by Biome-BGC generated less uncertainty due to the plant physiology-based method. The implication of this research is that overall hydrologic variability induced by uncertain management practices was reduced by implementing vegetation models in the catchment models.

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Section: Data Compilationmentioning

confidence: 99%

Section: Data Compilationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Lamačová

Duffy

et al. 2016

Computers & Geosciences

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“…Increased vegetation greenness, resulting from watershed management projects such as afforestation, reforestation, and improved agricultural practices, can improve terrestrial ecosystem productivity [4,5]. However, some studies have shown that vegetation greening can reduce watershed water yield (also referred to as streamflow or runoff); thus, it can reduce the water resources available for humans [1,6,7]. In fact, in arid and semi-arid areas, numerous studies have suggested that increased vegetation greenness can induce water demand conflicts, but few studies have investigated water yield responses on increased vegetation greenness in humid areas [4,8].…”

Section: Introductionmentioning

confidence: 99%

Increased Vegetation Greenness Aggravates Water Conflicts during Lasting and Intensifying Drought in the Poyang Lake Watershed, China

Tang

Cai

Gong

et al. 2018

Forests

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An increase in vegetation greenness can improve ecosystem productivity, but also reduce the water supply, creating the potential for conflicting water demands between ecosystems and humans. This problem has been well-assessed and is most evident in dry environments. However, in humid regions, the potential effects of vegetation greenness on water yields under drought conditions are not well understood. To address this gap, we focused on the Poyang Lake watershed in the humid region of southern China. Based on the Standardized Precipitation Evapotranspiration Index and a satellite-derived leaf area index dataset during the growing seasons of 1984 to 2013, several typical dry growing seasons were selected as the study conditions. An existing Water Supply Stress Index model was modified to investigate how the changes in vegetation greenness affected water yield and to explore potentially conflicting water demands between ecosystems and humans under drought conditions. Our results showed that an increase of 20-80% in vegetation greenness generally resulted in a reduction of 3-27% in water yield under drought conditions. Large reductions in water yield mainly were observed in forested areas due to large increases in forest greenness. Moreover, increased vegetation greenness caused a 2 to 3 times greater reduction in water yield during continuing and intensifying droughts than during a short moderate drought period. Thus, in this study, during continuing and intensifying droughts, increased vegetation greenness can cause or aggravate water conflicts in sub-watersheds with high forest cover and high human water demands. Therefore, given the increasing frequency of extreme climatic events, afforestation with a targeted approach should be implemented as it would provide the most benefits. In addition, selective harvesting in forested areas with high density could be an effective strategy to maintain water supply in humid regions.

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“…Groundwater pumping in a given triangular grid is incorporated through a sink flux term (Kumar and Duffy, 2015). PIHM has been successfully applied at multiple scales in 15 diverse hydro-climatic regimes in both North America and Europe (e.g., Chen et al, 2015;Seo et al, 2016;Shi et al, 2013;Wang et al, 2013;Yu et al, 2013).…”

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confidence: 99%

Assessing the resiliency of surface water and groundwater systems under groundwater pumping

Seo

Mahinthakumar

Sankarasubramanian

et al. 2017

Preprint

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Abstract:Since surface water and groundwater systems are fully coupled and integrated systems, increased groundwater withdrawal during drought may reduce groundwater discharges into the stream, thereby prolonging both systems' recovery from drought. To analyze watershed response to basin-level groundwater pumping, we propose an uncertainty framework to understand the 5 resiliency of groundwater and surface water systems using a fully-coupled hydrologic model under transient pumping. The proposed framework incorporates uncertainties in initial conditions to develop robust estimates of restoration times of both surface water and groundwater systems and quantifies how pumping impacts state variables such as soil moisture. Groundwater pumping impacts over a watershed were also analyzed under different pumping volumes and different 10 potential climate scenarios. Our analyses show that groundwater restoration time is more sensitive to variability in climate forcings as opposed to changes in pumping volumes. After the cessation of pumping, streamflow recovers quickly in comparison to groundwater, which has higher persistence. Pumping impacts on various hydrologic variables were also discussed. Given that surface water and groundwater are inter-connected, optimal management of the both 15 resources should be considered to improve the watershed resiliency under drought. Potential for developing optimal conjunctive management plans using seasonal-to-interannual climate forecasts is also discussed.Hydrol. Earth Syst. Sci. Discuss., https://doi

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Modelling long-term water yield effects of forest management in a Norway spruce forest

Cited by 27 publications

References 40 publications

Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Increased Vegetation Greenness Aggravates Water Conflicts during Lasting and Intensifying Drought in the Poyang Lake Watershed, China

Assessing the resiliency of surface water and groundwater systems under groundwater pumping

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