Cost-effective Land Use Planning: Optimizing Land Use and Land Management Patterns to Maximize Social Benefits

Pennington, Derric; Dalzell, B. J.; Nelson, Erik; Mulla, D. J.; Taff, Steven J.; Hawthorne, Peter; Polasky, Stephen

doi:10.1016/j.ecolecon.2017.04.024

Cited by 63 publications

(38 citation statements)

References 25 publications

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“…In the absence of water quality monitoring data for sediment or nutrients in the study watersheds, we relied on calibration parameters from similar modeling efforts in the Minnesota River Basin (Dalzell et al 2012;Pennington et al 2017;Dalzell and Mulla 2018) to manually calibrate these models in the Middle Cedar River basin (see Table S1 provided in Supporting Information for parameters specification). Tillage, fertilizer application, and planting/harvest dates are based on farmer surveys (Minnesota Department of Agriculture 2007) and feedback from local stakeholders and commodity groups.…”

Section: Discharge-frequency Analysis (Module 1)mentioning

confidence: 99%

“…We performed model calibration and validation for the Wolf Creek watershed for hydrology. In the absence of water quality monitoring data for sediment or nutrients in the study watersheds, we relied on calibration parameters from similar modeling efforts in the Minnesota River Basin (Dalzell et al 2012;Pennington et al 2017;Dalzell and Mulla 2018) to manually calibrate these models in the Middle Cedar River basin (see Table S1 provided in Supporting Information for parameters specification). Evaluation of alternative management scenarios to achieve water quality goals are based on relative differences in nutrient export compared to the baseline management scenario.…”

Section: Discharge-frequency Analysis (Module 1)mentioning

confidence: 99%

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Flood Risk Reduction from Agricultural Best Management Practices

Antolini

Tate

Dalzell

et al. 2019

J American Water Resour Assoc

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Research Impact Statement: Agricultural best management practices (BMPs) can reduce flood risk, providing a co-benefit to nutrient reduction.ABSTRACT: Best management practices (BMPs) play an important role in improving impaired water quality from conventional row crop agriculture. In addition to reducing nutrient and sediment loads, BMPs such as fertilizer management, reduced tillage, and cover crops could alter the hydrology of agricultural systems and reduce surface water runoff. While attention is devoted to the water quality benefits of BMPs, the potential cobenefits of flood loss reduction are often overlooked. This study quantifies the effects of selected commonly applied BMPs on expected flood loss to agricultural and urban areas in four Iowa watersheds. The analysis combines a watershed hydrologic model, hydraulic model outputs, and a loss estimation model to determine relationships between hydrologic changes from BMP implementations and annual economic flood loss. The results indicate a modest reduction in peak discharge and economic loss, although loss reduction is substantial when urban centers or other high-value assets are located downstream in the watershed. Among the BMPs, wetlands, and cover crops reduce losses the most. The research demonstrates that watershed-scale implementation of agricultural BMPs could provide benefits of flood loss reduction in addition to water quality improvements.(

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Section: Discharge-frequency Analysis (Module 1)mentioning

confidence: 99%

Section: Discharge-frequency Analysis (Module 1)mentioning

confidence: 99%

Flood Risk Reduction from Agricultural Best Management Practices

Antolini

Tate

Dalzell

et al. 2019

J American Water Resour Assoc

Self Cite

View full text Add to dashboard Cite

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“…Impacts on intangible but important ES can be incorporated by finding an equivalent and understandable local definition or a benefit transfer method. The modeled results of ES trade-offs and synergies become more transferrable to policies when they can be quantified in monetary terms or percentages [96,97]. Further than focusing on the angle of local stakeholders, the reflection of perceptions by scientists or experts and the integration of field experiments could broaden the context and could improve the assessment of ES provision of different land use types and land use scenarios.…”

Section: Limitations Of a Stakeholder-based Modeling Approachmentioning

confidence: 99%

Land Use Scenario Modeling Based on Local Knowledge for the Provision of Ecosystem Services in Northern Ghana

Koo

Kleemann

Fürst

2018

Land

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The understanding of multiple effects by possible future development is essential for adapted land use planning. This study assessed the potential of land use scenarios for the provision of ecosystem services using local knowledge in two districts of northern Ghana. Local knowledge was gathered through surveys with extension officers, who are regarded as eligible knowledge holders for agricultural land use. Firstly, ecosystem services that were perceived as important by the stakeholders were identified, namely food, fodder, energy, construction materials, marketable products, water provision, and erosion control. Quantitative indicators were then determined to analyze the capacity of land use types to supply the ecosystem services. Land use scenarios were developed based on their applicability and capacity to mitigate climate change impacts. The perception of stakeholders was applied to evaluate changes in ecosystem services provision by the scenarios. A modeling approach for a spatially explicit simulation was used to assess the potential to provide ecosystem services at a district level. The results reflected the different trade-offs and synergies between ecosystem services of each scenario, depending on the district. Along with the local perception, characteristics of land use patterns also influenced the regional potential of ecosystem services provision.

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“…One approach to combine the various contributions of stakeholders and experts is to develop "optimal" spatial scenarios that integrate biophysical modeling and formal representation of stakeholder preferences (Bekele & Nicklow, 2005;Cibin & Chaubey, 2015;Pennington et al, 2017;Seppelt & Voinov, 2002). These scenarios take the form of maps specifying where different interventions should be undertaken on a landscape.…”

Section: Introductionmentioning

confidence: 99%

Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru

Hamel¹,

Blundo‐Canto

Kowal³

et al. 2019

SESMO

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Integrated watershed management allows decision-makers to balance competing objectives, for example agricultural production and protection of water resources. Here, we developed a spatially-explicit approach to support such management in the Cañete watershed, Peru. We modeled the effect of grazing management on three services – livestock production, erosion control, and baseflow provision – and used an optimization routine to simulate landscapes providing the highest level of services. Over the entire watershed, there was a trade-off between livestock productivity and hydrologic services and we identified locations that minimized this trade-off for a given set of preferences. Given the knowledge gaps in ecohydrology and practical constraints not represented in the optimizer, we assessed the robustness of spatial recommendations, i.e. revealing areas most often selected by the optimizer. We conclude with a discussion of the practical decisions involved in using optimization frameworks to inform watershed management programs, and the research needs to better inform the design of such programs.

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Cost-effective Land Use Planning: Optimizing Land Use and Land Management Patterns to Maximize Social Benefits

Cited by 63 publications

References 25 publications

Flood Risk Reduction from Agricultural Best Management Practices

Flood Risk Reduction from Agricultural Best Management Practices

Land Use Scenario Modeling Based on Local Knowledge for the Provision of Ecosystem Services in Northern Ghana

Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru

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