Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality—A methodology to support discussions on land-use perspectives

Groot, J.C.J.; Rossing, W.A.H.; Jellema, A.; Stobbelaar, D.J.; Renting, H.; Ittersum, M.K. van

doi:10.1016/j.agee.2006.03.037

Cited by 170 publications

(104 citation statements)

References 44 publications

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“…However, comparative analyses on the potential differences in multiple ESs and their trade-offs of different vegetation types have rarely been conducted. Lastly, as trade-offs exist across different spatial and temporal scales (Groot et al 2007), a well-designed sampling scheme is indispensable to make the spatial scale match the corresponding time scale within the dataset and ensure that the analyzed ES data are intrinsically correlated in a dynamic ecosystem. For example, as vegetation uses soil water at different soil depths at different times, e.g., time of day, season, or changing precipitation pattern (Kurc and Small 2007), the assessment of trade-offs for soil-based ESs must depend on how the variables are measured.…”

Section: Limitation Of This Study and Further Directionsmentioning

confidence: 99%

Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes

et al. 2014

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Trade-off is defined as a situation where one ecosystem service (ES) increases while another decreases. In a broader sense, trade-off also refers to unidirectional changes with uneven paces or rates in ESs. Although trade-off analysis for multiple ESs is more integral for ecosystem assessment and management, studies regarding trade-offs are rare in the literature, especially at the landscape scale or across large environmental gradients. Here, we evaluated the co-variations of multiple ESs of black locust (Robinia pseudoacacia) plantations along a precipitation gradient (400-650 mm) on the Loess Plateau using a quantitative trade-off approach. The multiple ESs had complex relationships, with significant regional variations along the gradient. Aboveground carbon, soil organic carbon (SOC), soil total nitrogen (STN), and soil water content (SWC) showed increasing trends with precipitation, but understory plant diversity (UPD) did not. The highest trade-offs were between UPD and SWC and the lowest trade-offs were between SOC and STN among all of the ES pairs. The differences in the trade-offs of varied ES combinations could be the result of unique competition relationships, mass allocation strategies, and time lags. Stand age appeared to be another critical variable in determining the values of ESs and their trade-offs along the precipitation gradient. The decreasing SWC with stand age indicated that the gaining of the other ESs was at the cost of SWC consumption. Because multiple ESs and their trade-offs exhibit high spatial variations across the landscape, spatially explicit management is needed to maintain the benefits while mitigating negative impacts in this water-limited landscape.

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Section: Limitation Of This Study and Further Directionsmentioning

confidence: 99%

Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes

et al. 2014

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“…Inspired by the classification made in (Groot et al 2007), we distinguished studies dealing with economic crop planning, water resources management issues, landscape ecology issues including forest management, and nature restoration (Groot et al 2007;Badarudin et al 2009). Many classifications of the studies dealing with land use allocation are possible following the used method, e.g., simulated annealing, taboo search, evolutionary algorithms, the type of decisions to be The main steps of a particle swarm optimization algorithm implemented, i.e., land use allocation to crops, configuration of the landscape, or combination of allocation and configuration, and the spatiotemporal decision levels, i.e., operational, tactical, strategic.…”

Section: Land Use Optimization Using Metaheuristicsmentioning

confidence: 99%

“…This case study was related to the Northern Frisian Woodlands, where environmental cooperatives and other stakeholders were investigating adjustments and reconfigurations of a grassland-dominated landscape with hedgerows bordering the fields. In their first paper, Groot et al (2007) used the Landscape IMAGES framework and a differential evolution algorithm to help decision-makers from various backgrounds to investigate the trade-offs between nature conservation, agricultural profit, and landscape quality and biodiversity. The adjustments of land-use intensity and hedgerows presence aimed to optimize four objectives reflecting the opinions of various stakeholders.…”

Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

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%

“…These objectives were to maximize the farmer's gross margin by guarantying an acceptable agronomic yield, to maximize the diversification of the botanical composition of fields and hedgerows, to maximize variation in plant communities in the fields and half-openness of the landscape, and to minimize nutrient losses to the environment. 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).…”

Section: Reconfiguration Of Existing Landscape For Nature Conservatiomentioning

confidence: 99%

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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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Bridging the gap between conservation delivery and economics with precision agriculture

McConnell

2019

Wildl. Soc. Bull.

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Agricultural landscapes are important for natural resource conservation, but present numerous obstacles associated with intensive agricultural production. Chief among these challenges is the competing economics outcomes of conservation and crop production. Understanding these outcomes requires quantifying economics of crop production and conservation enrollment. Precision agriculture technology provides a mechanism to address these needs by using advanced technology to quantify spatially explicit profitability in agricultural fields. Precision agriculture's application to conservation planning represents a growing field of research. I present a brief overview of precision agriculture technology and its application in natural resource conservation. I discuss the role precision agriculture can play in United States conservation policy, highlight hindrances to adopting this technology, and provide recommendations for future application. I outline a new approach of targeted conservation delivery that focuses on return on investment to agricultural producers and discuss the role of precision agriculture in this approach. Increased adoption and application of this technology in natural resource conservation will require substantial investment from state wildlife agencies, nongovernmental organizations, farm managers, rural banks, and agricultural companies. Precision agriculture represents the next paradigm shift in natural resource conservation where spatially explicit conservation decisions are made that optimize conservation and profitability to produce environmentally resilient, multifunctional agricultural landscapes.

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Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality—A methodology to support discussions on land-use perspectives

Cited by 170 publications

References 44 publications

Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes

Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes

Metaheuristics for agricultural land use optimization. A review

Bridging the gap between conservation delivery and economics with precision agriculture

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