Kleuren Mengen:diversiteit in een dynamisch ruraal landschap

Woonopgave, waterveiligheid, duurzame voedselvoorziening, biodiversiteitsherstel, klimaat- en energietransitie, …: het zijn allemaal brandende vraagstukken die zonder voldoende ruimte niet opgelost kunnen worden. Niet verwonderlijk daarom dat veel van deze grote kwesties samenkomen op het platteland. Het maakt dat het platteland steeds meer verstrengeld en vervlochten raakt, en het praktisch onmogelijk wordt de maatschappelijke opgaven afzonderlijk van elkaar op te lossen.Wat doet dit met de ruimtelijke inrichting van het platteland? Bij de officiële aanvaarding van zijn bijzondere leerstoel ‘Natuurinclusieve Plattelandsontwikkeling’ gaat hoogleraar Martijn van der Heide in op deze actuele vraag.Specifieke aandacht gaat daarbij uit naar de ruimtelijke inpassing van natuurcombinaties, waarbij natuur wordt verbonden met andere maatschappelijke opgaven. Dus niet louter het afschermen van natuur in Natura 2000-gebieden, maar juist óók het duurzaam gebruiken van natuur om deze grote opgaven te realiseren. Dat laatste betekent dat je niet in monocausale ketens kunt blijven denken, maar dat een geïntegreerde aanpak cruciaal is. Bijvoorbeeld met ecologisch-economische analyses die de meerwaarde van natuurinclusiviteit inzichtelijk maken. Vergroten natuurcombinaties de brede welvaart in een regio?Tegelijkertijd: de toekomst van natuurinclusieve plattelandsontwikkeling ligt niet louter en alleen in deze en andere cijfermatige analyses. Want wil je mensen verbinden, en tot actie bewegen, wil je een doorbraak realiseren in de besluitvorming, dan heb je een gemeenschappelijk verhaal nodig. Wat is dit verhaal over een natuurinclusief platteland? Een urgente, maar lastige vraag met alle boerenonrust op het platteland die een hang naar het ‘eigene’ versterkt, en tot regionalisme kan leiden. Hoe is tegen zo’n decor een natuurinclusief verhaal te maken, dat belanghebbenden verbindt en in beweging brengt

RESILIENCE OF SOCIAL-ECOLOGICAL SYSTEMS IN EUROPEAN RURAL AREAS: THEORY AND PROSPECTS

In today’s world, rural areas are confronted with a spectrum of changes. These changes have multiple characters, varying from changes in ecosystem conditions to socioeconomic impacts, such as food- and financial crises. They present serious problems to rural management and largely affect future perspectives of rural areas. Rural resilience refers to the capacity of a rural region to adapt to changing external circumstances in such a way that a satisfactory standard of living is maintained, while coping with its inherent ecological, economic and social vulnerability. Rural resilience describes how rural areas are affected by external shocks and how it influences system dynamics. This paper further eradicates on this concept, by exploring in detail what the importance is of resilience theory within rural areas. An answer is tried to be given to the question how to detect resilience in rural areas, by reviewing the existing literature and to the question how to enhance resilient rural development. Finally questions are formulated for further research within the field of rural resilience.Resilience, social-ecological systems, rural development, complex adaptive systems, system dynamics, Agribusiness, Agricultural and Food Policy, Environmental Economics and Policy,

Measuring the Economic Value of Two Habitat Defragmentation Policy Scenarios for the Veluwe, The Netherlands

This paper offers an economic value assessment of a nature protection programme in the Veluwe. This programme involves two defragmentation scenarios: the first scenario connects the central part of the Veluwe with the IJssel river forelands in a north-eastern direction, while the second scenario is focused on defragmentation in a south-western direction, where the Rhine river forelands are located. The valuation is based on a questionnaire that was administered during face-to-face interviews in the Veluwe area and through the Internet. We employ a contingent valuation approach to assess the respondents’ willingness to pay for the realisation of the defragmentation scenarios. It appears that the mean willingness to pay for the two defragmentation scenarios are € 59.7 and € 162.2 per respondent. These two willingness-to-pay estimates, which refer to a lump sum payment (or ‘once-and-for-all payment’), are based on a lognormal and Weibull distribution respectively. In addition to the willingness to pay, we also estimate recreation benefits of the Veluwe. To that end, we use the travel cost technique, the purpose of which is to arrive at an estimate of the site’s consumer surplus. According to this technique, the yearly recreational benefits are estimated between € 0.06 and € 0.45 per visitor. Whereas the former estimate is based on the fuel costs only, the latter covers also insurance and maintenance costs, and capital depreciation. Finally, we performed an aggregation of individual WTP estimates over Dutch households. With the resulting aggregate estimates we are able to compare the total costs and benefits of the two scenarios for habitat fragmentation in the Veluwe. The result of such a simple comparison turns out to critically depend on whether the mean or median estimate is used for aggregation. If aggregation of individual WTP estimates is based on mean values, then the benefits far exceed the estimated costs of defragmentation. In other words, based on an integrated economic-ecological analysis it makes sense to execute the defragmentation measures described in the scenarios. However, aggregate estimates obtained by using median values result in higher costs than aggregate estimates that are based on mean values. Even stronger, median-based estimates show that the costs of implementing scenario 2 are higher than the total benefits of this scenario.Economic value, Nature protection, Defragmentation policy, Veluwe

Regional Economic growth and accessibility: The case of the Netherlands

Shift-share is a popular, relatively easy to apply, tool in spatial analysis. Upon its initial development and use in the 1970s the literature has shown that serious drawbacks of the shift-share technique should be noted (e.g., lack of theoretical basis, sensitivity to level of aggregation). But several solutions have been proposed, and besides, when a technique is simple and apparently useful, it will be both widely used and heavily criticized. The aim of this paper was to apply a shift- share analysis for the labour volume and value added. This was done for 40 so-called COROP-regions in the Netherlands over several subperiods of the most recent decades (1973-1993). It was shown that the development over time of the three shift-share effects for labour volume and value added were much the same. This was not only shown by means of a Geographic Information System but also statistically proved. Other relationships between the outcomes of the shift-share analysis and a few, more or less, economic variables were investigated as well. And lastly, an interesting aspect was the course of the regional growth of value added and employment over time. This development was illustrated by using a concentration-coefficient.

Restoration ecology meets design-engineering:Mimicking emergent traits to restore feedback-driven ecosystems

Ecosystems shaped by habitat-modifying organisms such as reefs, vegetated coastal systems and peatlands, provide valuable ecosystem services, such as carbon storage and coastal protection. However, they are declining worldwide. Ecosystem restoration is a key tool for mitigating these losses but has proven failure-prone, because ecosystem stability often hinges on self-facilitation generated by emergent traits from habitat modifiers. Emergent traits are not expressed by the single individual, but emerge at the level of an aggregation: a minimum patch-size or density-threshold must be exceeded to generate self-facilitation. Self-facilitation has been successfully harnessed for restoration by clumping transplanted organisms, but requires large amounts of often-limiting and costly donor material. Recent advancements highlight that kickstarting self-facilitation by mimicking emergent traits can similarly increase restoration success. Here, we provide a framework for combining expertise from ecologists, engineers and industrial product designers to transition from trial-and-error to emergent trait design-based, cost-efficient approaches to support large-scale restoration.</p

Social innovation – A future pathway for Blue growth?

The European Union has launched the Blue growth concept as a strategy for stimulating economic growth in European seas. It is accompanying the core principles of the Green growth paradigm that seek to stimulate smart, sustainable and inclusive growth of economic activities. Focusing on Blue growth, this article examines its adequacy to enable social innovation as a strategy for the use and management of marine resources. Social innovation is interpreted as the changing behaviour of a group of actors joined in a network, leading to new and improved ways of collaborative action within the group and beyond. Social innovation can contribute to changing behaviour across different institutional settings, across markets and public sectors, and to enhancing bottom-up responsible inventiveness towards integration of social, economic and environmental objectives. Based on case-study research it is concluded that, to secure long-term sustainable development over short-term benefits, a social innovation perspective in the maritime domain will depend on cooperation, inclusiveness and trust

Restoration ecology meets design-engineering: Mimicking emergent traits to restore feedback-driven ecosystems

Ecosystems shaped by habitat-modifying organisms such as reefs, vegetated coastal systems and peatlands, provide valuable ecosystem services, such as carbon storage and coastal protection. However, they are declining worldwide. Ecosystem restoration is a key tool for mitigating these losses but has proven failure-prone, because ecosystem stability often hinges on self-facilitation generated by emergent traits from habitat modifiers. Emergent traits are not expressed by the single individual, but emerge at the level of an aggregation: a minimum patch-size or density-threshold must be exceeded to generate self-facilitation. Self-facilitation has been successfully harnessed for restoration by clumping transplanted organisms, but requires large amounts of often-limiting and costly donor material. Recent advancements highlight that kickstarting self-facilitation by mimicking emergent traits can similarly increase restoration success. Here, we provide a framework for combining expertise from ecologists, engineers and industrial product designers to transition from trial-and-error to emergent trait design-based, cost-efficient approaches to support large-scale restoration