Designing a hedgerow network in a multifunctional agricultural landscape: Balancing trade-offs among ecological quality, landscape character and implementation costs

Groot, J.C.J.; Jellema, A.; Rossing, W.A.H.

doi:10.1016/j.eja.2009.07.002

Cited by 82 publications

(67 citation statements)

References 39 publications

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“…Two constraints regarding the limits on nutrient inputs and the proportion of herbage grazed were also taken into account (Groot et al 2007). Groot et al (2010) extended the previous study by using a similar approach to redesign spatial configurations of hedgerows, optimizing a set of seven objectives (Groot et al 2010). The considered objectives were related to the ecological quality, landscape character, and implementations costs.…”

Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

confidence: 99%

“…We can only point to Chikumbo et al (2012) and Groot et al (2010). The weighted sum approach remains the most used method despite its well-known drawbacks.…”

Section: An Increasing Number Of Objectives and Constraints: Scalabilmentioning

confidence: 99%

“…The approach was tested through an interactive session with the decision-makers who were asked to give their feedback at the beginning of the land use allocation (Janssen et al 2008). Groot et al (2007Groot et al ( , 2010 used differential evolution algorithms. The case study was to redesign the linear landscape elements in an agroecological zone in The Netherlands.…”

Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

confidence: 99%

See 2 more Smart Citations

Metaheuristics for agricultural land use optimization. A review

Memmah

Lescourret

Yao

et al. 2015

Agron. Sustain. Dev.

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Agricultural landscapes presently cover about 46 % of earth terrestrial surface. This cultivated area is decreasing, whereas the global food demand is projected to increase up to 70 % in 2050. The intensification of agriculture is not a solution to this food issue because intensive agriculture has often resulted in pollution and loss of biodiversity. On the other hand, mechanistic models with optimization algorithms can be used to design alternative land uses for sustainable agriculture. Here, we present a review of metaheuristics for land use optimization reported in 50 articles including 38 case studies carried out in 16 countries. Our main conclusions are: 1) the success of metaheuristics is problem-dependent. In general, metaheuristics enable search to escape from local optima and find a good global approximation solution.2) The choice of a given metaheuristic for solving a given problem seems to be driven by its historical use in a research team and by its popularity outside the metaheuristics research community, rather than by the characteristics of the problems to be solved and by the latest results from the metaheuristics research community. 3) Stakeholders of land use are increasingly involved at different levels of the land use optimization procedure and multi-actors decision-making methods are necessary to find trade-offs between their competing interests. 4) A future challenge is the use of parallelization techniques along with the hybridization of different metaheuristics or of metaheuristics with other optimization methods.

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Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

confidence: 99%

“…We can only point to Chikumbo et al (2012) and Groot et al (2010). The weighted sum approach remains the most used method despite its well-known drawbacks.…”

Section: An Increasing Number Of Objectives and Constraints: Scalabilmentioning

confidence: 99%

Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

confidence: 99%

See 1 more Smart Citation

Metaheuristics for agricultural land use optimization. A review

Memmah

Lescourret

Yao

et al. 2015

Agron. Sustain. Dev.

View full text Add to dashboard Cite

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“…In addition to these field-level studies, an increasing number of studies highlight the importance of higher levels of organisation when considering both production and ecological conservation objectives in agricultural areas (Groot et al, 2010;McMahon et al, 2010). At these higher levels of organisation, interactions between system components result in system behaviour that is not apparent when only the field level is considered.…”

Section: Introductionmentioning

confidence: 99%

Trade-offs between pasture production and farmland bird conservation: exploration of options using a dynamic farm model

Sabatier

Teillard

Rossing

et al. 2015

Animal

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In European grassland landscapes, grazing and mowing play a key role for the maintenance of high-quality habitats that host important bird populations. As grasslands are also key resources for cattle feeding, there is a need to develop management strategies that achieve the double objective of production and biodiversity conservation. The objective of this study was to use a modelling approach to generate recognisable patterns of bird dynamics in farms composed of different land use proportions, and to compare their production and ecological dimensions. We developed a dynamic model, which linked grassland management to bird population dynamics at the field and farm levels. The model was parameterised for two types of suckling farms corresponding to contrasting levels of grassland intensification and for two bird species of high conservation value. A viability algorithm was used to define and assess viable management strategies for production and ecological performance so as to draw the shape of the relationship between both types of performances for the two types of farms. Our results indicated that, at the farm level, there was a farming system effect with a negative and non-linear relationship linking performance. Improving bird population maintenance was less costly in extensive farms compared with intensive farms. At the field level, the model predicted the timing and intensity of land use, maximising either production or ecological performance. The results suggested that multi-objective grassland management would benefit from public policies that consider levels of organisation higher than the field level, such as the farm or the landscape.

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“…Further, empirical testing of the relative importance of landscape composition and configuration to multiple scales of ecology (e.g., individual, population, and community responses) is critical to validate current landscape-level models to improve landscape multifunctionality (Groot, Jellema, and Rossing 2010). More data and models of pollen gene flow (Colbach et al 2009) and of organism distribution and migration patterns as mediated by local and landscape factors will improve our ability to understand the landscape system as a whole (Groot, Jellema, and Rossing 2010).…”

Section: Genetic Individual and Population-level Metricsmentioning

confidence: 99%

Intersection between biodiversity conservation, agroecology, and ecosystem services

Liere

Jha

Philpott

2017

Agroecology and Sustainable Food Systems

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Agroecological research has improved our understanding of the drivers and benefits of biodiversity, thus providing the scientific basis needed to achieve agricultural multifunctionality. We review how agroecology has contributed to our understanding of the effects of local and landscape level drivers on beneficial insects, as well as on the ecosystem services they provide. Several syntheses from agroecosystem research indicate that both populations and biodiversity of pollinator and natural enemies decline with increases in local agricultural intensification and that landscape composition and configuration may mediate these local scale effects. Changes in agricultural management may affect predation and pollination services by altering the resource base for natural enemies and pollinators, by altering their species pool, and by modifying their interactions. The effects of these drivers depend on taxonomical or functional groups and landscape context. Studies that directly measure the cascading effects of landscape drivers on pest control and pollination services and plant level benefits are sparse. We propose five research themes to improve our understanding of the interface of agroecology, conservation, and ecosystem service research.

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Designing a hedgerow network in a multifunctional agricultural landscape: Balancing trade-offs among ecological quality, landscape character and implementation costs

Cited by 82 publications

References 39 publications

Metaheuristics for agricultural land use optimization. A review

Metaheuristics for agricultural land use optimization. A review

Trade-offs between pasture production and farmland bird conservation: exploration of options using a dynamic farm model

Intersection between biodiversity conservation, agroecology, and ecosystem services

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