Investigating farmers’ preferences for alternative PES schemes for carbon sequestration in UK agroecosystems

Aslam, Uzma; Termansen, Mette; Fleskens, Luuk

doi:10.1016/j.ecoser.2017.08.004

Cited by 36 publications

(17 citation statements)

References 41 publications

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“…In terms of understanding these other factors, there are at least two key fields that provide conceptual and empirical insights. The first come from behavioural studies, considering in particular, why some farmers voluntarily sign up to some policies and not others (Potter and Gasson, 1988;Brotherton, 1989;Brotherton, 1991;Wilson 1997;Zandersen, et al 2016;Aslam et al 2017). The second field is based in rural sociology and seeks to account for the persistence of "middle-range" family farms that are too big to be a "hobby" farm but too small to be economically viable on their own.…”

Section: Discussionmentioning

confidence: 99%

“…One such example is the study by Baltas and Korka (2001) that used a nested discrete choice model to analyse land-use allocation under risk. A number of choice modelling applications have investigated the determinants explaining farmers' participation in environmental programs that would eventually lead to changes in land-use (Cooper and Keim 1996, Vanslembrouck et al 2002, Lynch et al 2002, Shaikh et al 2007, Peterson et al 2007, Vedel et al, 2015Aslam et al, 2017). These studies have determined the probability of farmers' participation in hypothetical agricultural improvement programs and estimated their willingness to accept (WTA) compensation for participation in these programs.…”

Section: Introductionmentioning

confidence: 99%

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Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands

Termansen

Chapman

Quinn

et al. 2019

Resilience in Complex Socio-Ecological Systems

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It is well-recognised that to achieve long-term sustainable and resilient land management we needs to understand the coupled dynamics of social and ecological systems. Land use change scenarios, will often aim to understand i) the behaviours of land management, influenced by direct and indirect drivers, ii) the resulting changes in land use and iii) the environmental implications of these changes. While the literature in this field is extensive, approaches to parameterise coupled systems through integration of empirical social science based models and ecology based models still need further development. We propose an approach to land use dynamics modelling based on the integration of behavioural models derived from choice experiments and spatially explicit systems dynamics modelling. This involves the specification of a choice model to parameterise land use behaviour and the integration with a spatial habitat succession model.We test this approach in an upland socio-ecological system in the United Kingdom. We conduct a choice experiment with land managers in the Peak District National Park. The elicited preferences forms the basis for a behavioural model, which is integrated with a habitat succession model to predict the landscape level vegetation impacts. The integrated model allows us to create projections of how land use may change in the future under different environmental and policy scenarios, and the impact this may have on landscape vegetation patterns. We illustrate this by showing future projection of landscape changes related to hypothetical changes to EU level agricultural management incentives.The advantages of this approach are, (i) the approach takes into account potential environmental and management feedbacks, an aspect often ignored in choice modelling, (ii) the behavioural rules are revealed from actual and hypothetical choice data, which allows the research to test the empirical evidence for various determinants of choice, (iii) the behavioural choice models generates probabilities of alternative behaviours which makes them ideally suited for integration with simulation models.The paper concludes that the modelling approach offers a promissing route for linking socio-economic and ecological features of socio-ecological systems. Furthermore, our proposed approach allows testing of the underlying socio-economic and environmental drivers and their interaction in real environmental systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands

Termansen

Chapman

Quinn

et al. 2019

Resilience in Complex Socio-Ecological Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other AES studies focus on the protection of biodiversity in natural regions (Greiner et al, 2014), in home gardens (Birol et al, 2006;Birol et al, 2009), in forests (Matta et al, 2009;Santos et al, 2015;Lienhoop et al, 2015;Vorlaufer et al, 2017;Felardo and Berrens, 2018) and in arable land (Vaissière et al, 2017). Other EAS studies address soil conservation (Tesfaye et al, 2014), water-related ecosystem services (Beharry-Borg and Scarpa, 2010; Mulatu et al, 2014;Chaikaew et al, 2017) pesticide-free buffer zones (Christensen et al, 2011), optimization of fertilizer use (Wuepper et al, 2017), agriculture in protected and buffer areas (Rocchi et al, 2017), olive grove subsystems (Villanueva et al, 2017) silvopastoral systems (Raes et al, 2017), climate regulating services in agricultural systems (Aslam et al, 2017) and flood control (Zandersen et al, 2016). Wätzold and Drechsler (2005), Drechsler et al (2007), and Bamière et al (2011) evidence the importance of spatial patterns in designing AES.…”

Section: Related Empirical Literaturementioning

confidence: 99%

Farmers’ Preferences for Enhancing Sustainability in Arable Lands: Evidence From a Choice Experiment in Sicily

Salvo¹,

Cucuzza²,

Cosentino³

et al. 2018

New Medit

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We used discrete-choice experiments (DCE) to elicit farmers' preferences among alternative agrienvironmental schemes (AES) designed to reduce soil risk of erosion, maintain soil fertility, enhance countryside landscape, and preserve agrobiodiversity in arable lands of Sicily (Italy). Using appropriate models, we also investigated farmers' preference heterogeneity and spatial correlation. The results demonstrated a general positive and highly heterogeneous attitude in farmers toward the adoption of environmentally friendly practices and suggested the need of modulate AES according to preferences' heterogeneity respect to sustainable agricultural practices and local contexts.

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“…Studies are applied to a wide range of AES themes all over the world, e.g. rural development contracts (Villenueva et al 2017), conservation and biodiversity (Broch et al 2013;Adams et al 2014;Alló et al 2015;Gómez-Limón et al 2018), pesticide management (Christensen et al 2011;Kuhfuss et al 2016), land diversification requirements and production practices (Espinosa-Goded et al 2010;Jaeck and Lifran 2014;Schulz et al 2014), carbon sequestration and climate mitigation (Aslam et al 2017), and water quality improvements (Beharry-Borg et al 2013;Franzén et al 2016). A number of studies focus on AES contract characteristics, e.g.…”

Section: Introductionmentioning

confidence: 99%

Farmers’ preferences for nutrient and climate-related agri-environmental schemes: A cross-country comparison

Hasler

Czajkowski

Elofsson

et al. 2019

Ambio

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We use data from a survey of 2439 farmers in 5 countries around the Baltic Sea (Denmark, Estonia, Finland, Poland and Sweden) to investigate their preferences for adopting agricultural practices aimed at reducing nutrient leaching and greenhouse gas emissions. The measures considered are set-aside, catch crops and reduced fertilization. Contracts vary with respect to the area enrolled, contract length, possibility of premature termination, availability of professional advice and compensation. We quantitatively describe farmers' preferences in terms of their willingness-to-accept compensation for specific attributes of these contracts, if implemented. The results vary substantially between farm types (farmers' characteristics) and between the 5 countries, and support differentiation of contract obligations and payments to improve the uptake of Agri-Environmental Schemes. The results can be readily used to improve the design of country-specific nutrient reduction policies, in accordance with the next Common Agricultural Policy.

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Investigating farmers’ preferences for alternative PES schemes for carbon sequestration in UK agroecosystems

Cited by 36 publications

References 41 publications

Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands

Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands

Farmers’ Preferences for Enhancing Sustainability in Arable Lands: Evidence From a Choice Experiment in Sicily

Farmers’ preferences for nutrient and climate-related agri-environmental schemes: A cross-country comparison

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