Application and assessment of a dynamic riparian vegetation model to predict the spatial distribution of vegetation in two Japanese river systems

Sanjaya, Kelum; Asaeda, Takashi

doi:10.1016/j.jher.2017.05.002

Cited by 12 publications

(10 citation statements)

References 65 publications

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“…At the same time, recent studies suggest that these ecosystems are among the most sensitive of all ecosystems to the effect of both natural and anthropogenic disturbances (Feld et al, 2018; Fu et al, 2016). Principally, the sedimentary processes and hydrologic regimes determine the habitat distribution of these ecosystems, and local and landscape‐scale perturbations reset riparian vegetation communities at different spatial scales (Palmquist, Ralston, Merritt, & Shafroth, 2018; Sanjaya & Asaeda, 2017a).…”

Section: Introductionmentioning

confidence: 99%

The long‐term legacy of riparian vegetation in a hydrogeomorphologically remodelled fluvial setting

Nallaperuma

Asaeda

2020

River Research & Apps

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The typical Japanese river maintains a vegetation-suppressive effect on riparian habitats. During recent decades, most Japanese rivers have encountered extensive human-induced alterations, and over time, the rivers have been transformed from unvegetated to vegetated. The lower Tedori River, which is a representative case of this phenomenon, is located in a region that exhibits signs of global climate change. According to quantitative analyses of sediment, the river corridor has historically reached an equilibrium since the prohibition of heavy sediment extraction activities, and the water discharge is stable because of dams. The contemporaneous vegetation encroachment was observed in a historical imagery survey and the vegetation dynamics of the river reach for the past 18 years were analysed to identify forcing hydro-climatic variables. The normalized difference vegetation index (NDVI) was adopted for the surveillance of vegetation dynamics, and multiple regression analysis was employed to evaluate its relationship with predictor variables. River water level was the strongest determinant of NDVI, with both Pearson correlation and standardized β coefficients of −0.405, while air temperature was next, with values of 0.363 and 0.288, respectively. These findings were supported by the spatial distribution of temporally advancing vegetation patches determined using the aerial imagery and pixel value maxima of NDVI bands. In addition, the development of vegetation patches will presumably give rise to more pro-vegetation surroundings in the riparian zone through reciprocal linkages with hydrogeomorphic processes. These objective predictions may help inform the proactive planning for river and coastal management.

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Section: Introductionmentioning

confidence: 99%

The long‐term legacy of riparian vegetation in a hydrogeomorphologically remodelled fluvial setting

Nallaperuma

Asaeda

2020

River Research & Apps

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“…The Asahi River originally included numerous gravel bars. Researchers in Japan have studied the hydrodynamics and riparian ecosystems in rivers with vegetation (Maeno & Watanabe, 2008;Sanjaya & Asaeda, 2017;Tanaka & Yagisawa, 2010;Toda, Ikeda, Kumagai, & Asano, 2005). Consequently, as Watanabe, Maeno, Shirai, and Fujiwara (2006) reported, the construction of these dams has induced forestation and has reduced the gravel bars ( Figure 2).…”

Section: Introductionmentioning

confidence: 99%

“…Since the 1990s, river forestation has often been reported by river administrative bureaus in Japan. Researchers in Japan have studied the hydrodynamics and riparian ecosystems in rivers with vegetation (Maeno & Watanabe, 2008;Sanjaya & Asaeda, 2017;Tanaka & Yagisawa, 2010;Toda, Ikeda, Kumagai, & Asano, 2005). Forestation in F I G U R E 1 Location of the Asahi River and the distributary Hyakken River in Japan with the kilometre post (KP) values representing the longitudinal distance (km) from the river mouth rivers has caused several difficulties.…”

Section: Introductionmentioning

confidence: 99%

Estimation of distributed flow resistance in vegetated rivers using airborne topo‐bathymetric LiDAR and its application to risk management tasks for Asahi River flooding

Yoshida

Maeno

Ogawa

et al. 2019

J Flood Risk Management

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This report describes a method of extracting vegetation conditions and topo-bathymetric data of rivers using airborne LiDAR with near-infrared and green pulsed lasers. Parameters related to flow resistance attributable to vegetation in rivers were found using point cloud data of LiDAR with support from supervised classification. Comparison of data obtained from simulations and observations was used to assess the applicability of the proposed method for examination of lower Asahi River flooding that occurred in Japan in September 2011. Results demonstrated that the methodology used herein can estimate flow resistance parameterisation of vegetation distributed on a reach scale. This study also used numerical tests to elucidate effects of established vegetation for flood control at the lower Asahi River bifurcation point using a historically important fixed weir. Results of these numerical tests demonstrated that the method can elucidate effective means of managing vegetation removal around the bifurcation point. K E Y W O R D S flooding, flow resistance, topo-bathymetric LiDAR, vegetation

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“…Our methodology suits the early stages of the planning process as it provides an overview of possible measures to adapt to climate change and the associated capital expenditures, plus the hydrodynamic and ecologic effects. Compared to other DSSs targeted at intervention planning (Hübner et al, 2009;Schielen and Gijsbers, 2003), we added the option for automatic positioning and parameterization of measures over arbitrary areas, costs, and the number of stakeholders. Our modular structure enables more evaluation criteria to be added.…”

Section: Discussionmentioning

confidence: 99%

“…Newman et al (2017) reviewed 101 DSSs for natural hazards, of which 19 focused on fluvial flood risk. Two included studies in the Netherlands: Hübner et al (2009) developed the "Nature-oriented flood damage prevention", targeting regional water systems, whereas Schielen and Gijsbers (2003) created "DSS-large rivers", which was oriented towards the national to continental scale. Both DSSs required the manual implementation of landscaping measures in the accompanying geographic information system (GIS).…”

Section: Introductionmentioning

confidence: 99%

Towards multi-objective optimization of large-scale fluvial landscaping measures

Straatsma

Fliervoet

Kabout

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. Adapting densely populated deltas to the combined impacts of climate change and socioeconomic developments presents a major challenge for their sustainable development in the 21st century. Decisions for the adaptations require an overview of cost and benefits and the number of stakeholders involved, which can be used in stakeholder discussions. Therefore, we quantified the trade-offs of common measures to compensate for an increase in discharge and sea level rise on the basis of relevant, but inexhaustive, quantitative variables. We modeled the largest delta distributary of the Rhine River with adaptation scenarios driven by (1) the choice of seven measures, (2) the areas owned by the two largest stakeholders (LS) versus all stakeholders (AS) based on a priori stakeholder preferences, and (3) the ecological or hydraulic design principle. We evaluated measures by their efficiency in flood hazard reduction, potential biodiversity, number of stakeholders as a proxy for governance complexity, and measure implementation cost. We found that only floodplain lowering over the whole study area can offset the altered hydrodynamic boundary conditions; for all other measures, additional dike raising is required. LS areas comprise low hanging fruits for water level lowering due to the governance simplicity and hydraulic efficiency. Natural management of meadows (AS), after roughness smoothing and floodplain lowering, represents the optimum combination between potential biodiversity and flood hazard lowering, as it combines a high potential biodiversity with a relatively low hydrodynamic roughness. With this concept, we step up to a multidisciplinary, quantitative multi-parametric, and multi-objective optimization and support the negotiations among stakeholders in the decision-making process.

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Application and assessment of a dynamic riparian vegetation model to predict the spatial distribution of vegetation in two Japanese river systems

Cited by 12 publications

References 65 publications

The long‐term legacy of riparian vegetation in a hydrogeomorphologically remodelled fluvial setting

The long‐term legacy of riparian vegetation in a hydrogeomorphologically remodelled fluvial setting

Estimation of distributed flow resistance in vegetated rivers using airborne topo‐bathymetric LiDAR and its application to risk management tasks for Asahi River flooding

Towards multi-objective optimization of large-scale fluvial landscaping measures

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