Spatial planning for lowland stream basins using a bioeconomic model

Walsum, Paul van; Helming, J.F.M.; Stuyt, L.C.P.M.; Schouwenberg, E.P.A.G.; Groenendijk, P.

doi:10.1016/j.envsoft.2007.08.006

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…To link nutrient applications and potential emissions to water with emissions to water that really take place, different types of models should be used. In doing so, our model could be linked with a model of the regional hydrological, natural, and agricultural system as a whole (van Walsum et al, 2008;Bateman et al, 2006;Jacobsen et al, 2006). A disadvantage of such a regional system is that it is very demanding in terms of its data requirements.…”

Section: Manure Market Regionmentioning

confidence: 99%

Modelling the economic consequences of the EU Water Framework Directive for Dutch agriculture

Helming¹,

Reinhard

2009

Journal of Environmental Management

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Section: Manure Market Regionmentioning

confidence: 99%

Modelling the economic consequences of the EU Water Framework Directive for Dutch agriculture

Helming¹,

Reinhard

2009

Journal of Environmental Management

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“…In terms of runoff routing and reservoir routines, WW is similar to other hydro-economic models like the Nile Economic Optimization Model [ 41 ], Ganges Economic Optimization Model [ 42 ], and Indus Basin model [ 37 ]. WW has been previously applied to the Nile Basin for quantifying the contribution of rainfed and irrigated agriculture to overall food security and, at a more local level, for solving complex issues of flood mitigation and water quality management in basins in Europe [ 43 ]. The WW model code is formulated within a Mixed Integer Linear Programming framework (MILP).…”

Section: Methodology and Datamentioning

confidence: 99%

Flexible Strategies for Coping with Rainfall Variability: Seasonal Adjustments in Cropped Area in the Ganges Basin

et al. 2016

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One of the main manifestations of climate change will be increased rainfall variability. How to deal with this in agriculture will be a major societal challenge. In this paper we explore flexibility in land use, through deliberate seasonal adjustments in cropped area, as a specific strategy for coping with rainfall variability. Such adjustments are not incorporated in hydro-meteorological crop models commonly used for food security analyses. Our paper contributes to the literature by making a comprehensive model assessment of inter-annual variability in crop production, including both variations in crop yield and cropped area. The Ganges basin is used as a case study. First, we assessed the contribution of cropped area variability to overall variability in rice and wheat production by applying hierarchical partitioning on time-series of agricultural statistics. We then introduced cropped area as an endogenous decision variable in a hydro-economic optimization model (WaterWise), coupled to a hydrology-vegetation model (LPJmL), and analyzed to what extent its performance in the estimation of inter-annual variability in crop production improved. From the statistics, we found that in the period 1999–2009 seasonal adjustment in cropped area can explain almost 50% of variability in wheat production and 40% of variability in rice production in the Indian part of the Ganges basin. Our improved model was well capable of mimicking existing variability at different spatial aggregation levels, especially for wheat. The value of flexibility, i.e. the foregone costs of choosing not to crop in years when water is scarce, was quantified at 4% of gross margin of wheat in the Indian part of the Ganges basin and as high as 34% of gross margin of wheat in the drought-prone state of Rajasthan. We argue that flexibility in land use is an important coping strategy to rainfall variability in water stressed regions.

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“…Multi-objective optimisation allows illuminating trade-offs through exploration of nexus interdependencies [12,41]. We applied the bio-economic model 'WaterWise' [42,43], which has the specific ability to generate spatially varied patterns of measures that make best use of the available land and water resources (supplementary information for equations).…”

Section: Multi-objective Optimization Of Sdgsmentioning

confidence: 99%

Strong trade-offs characterise water-energy-food related sustainable development goals in the Ganges–Brahmaputra–Meghna River basin

Siderius

Walsum

Biemans

2022

Environ. Res. Lett.

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The United Nations’ Sustainable Development Goals (SDGs) set ambitious policy targets for 2030 to overcome poverty while preserving the planet. These goals are not perfectly aligned; trade-offs emerge during implementation at regional and local levels, such as in a river basin. Here, we quantify important trade-offs between water, energy, and food-related SDGs in the Ganges-Brahmaputra-Meghna River basin, a climate vulnerability hotspot, using multi-objective optimisation based on detailed water resources and crop production modelling and accounting for uncertainties in the costs of water, labour, and land. The trade-off between food production and agricultural profit is strong; the amount of people fed would be reduced by more than two-thirds, were profitability maximized. However, we do see the potential to achieve higher profitability in agriculture against limited loss of food and hydropower production and limited impact on downstream environmental flows, although continued reliance on groundwater and energy, currently unsustainable, needs to be mitigated.

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Spatial planning for lowland stream basins using a bioeconomic model

Cited by 12 publications

References 14 publications

Modelling the economic consequences of the EU Water Framework Directive for Dutch agriculture

Modelling the economic consequences of the EU Water Framework Directive for Dutch agriculture

Flexible Strategies for Coping with Rainfall Variability: Seasonal Adjustments in Cropped Area in the Ganges Basin

Strong trade-offs characterise water-energy-food related sustainable development goals in the Ganges–Brahmaputra–Meghna River basin

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