Abstract:Exposure to nature can strengthen an individual's sense of connectedness (i.e., emotional/cognitive bonds to the natural world) and enhance psychological restoration (e.g., feeling relaxed/refreshed). To date there have been few large studies looking at the role type and quality of natural environments may have on these outcomes. The present study used data from a large survey in England (sample analyzed = 4,515), which asked participants to recall a recent visit to nature. After controlling for covariates, respondents recalled greater connectedness to nature and restoration following visits to rural and coastal locations compared to urban green-space, and to sites of higher environmental quality (operationalized by protected/designated area status e.g., Nature Reserves). A series of structural equation analyses provided evidence for a bidirectional association between connectedness and restoration. Consideration of the psychological benefits associated with different types and quality of environment has implications for human health, environmental management, and conservation.
A B S T R A C TThere is a multitude of ecosystem service classifications available within the literature, each with its own advantages and drawbacks. Elements of them have been used to tailor a generic ecosystem service classification for the marine environment and then for a case study site within the North Sea: the Dogger Bank. Indicators for each of the ecosystem services, deemed relevant to the case study site, were identified. Each indicator was then assessed against a set of agreed criteria to ensure its relevance and applicability to environmental management. This paper identifies the need to distinguish between indicators of ecosystem services that are entirely ecological in nature (and largely reveal the potential of an ecosystem to provide ecosystem services), indicators for the ecological processes contributing to the delivery of these services, and indicators of benefits that reveal the realized human use or enjoyment of an ecosystem service. It highlights some of the difficulties faced in selecting meaningful indicators, such as problems of specificity, spatial disconnect and the considerable uncertainty about marine species, habitats and the processes, functions and services they contribute to.
Assessments of the combined ecological impacts of ocean acidification and warming (OAW) and their social and economic consequences can help develop adaptive and responsive management strategies in the most sensitive regions. Here, available observational and experimental data, theoretical, and modelling approaches are combined to project and quantify potential effects of OAW on the future fisheries catches and resulting revenues and employment in the UK under different CO 2 emission scenarios. Across all scenarios, based on the limited available experimental results considered, the bivalve species investigated were more affected by OAW than the fish species considered, compared with ocean warming alone. Projected standing stock biomasses decrease between 10 and 60%. These impacts translate into an overall fish and shellfish catch decrease of between 10 and 30% by 2020 across all areas except for the Scotland >10 m fleet. This latter fleet shows average positive impacts until 2050, declining afterwards. The main driver of the projected decreases is temperature rise (0.5-3.3°C), which exacerbate the impact of decreases in primary production (10-30%) in UK fishing waters. The inclusion of the effect of ocean acidification on the carbon uptake of primary producers had very little impact on the projections of potential fish and shellfish catches (<1%). The <10 m fleet is likely to be the most impacted by-catch decreases in the short term (2020-50), whereas the effects will be experienced more strongly by the >10 m fleet by the end of the century in all countries. Overall, losses in revenue are estimated to range between 1 and 21% in the short term (2020-50) with England and Scotland being the most negatively impacted in absolute terms, and Wales and North Ireland in relative terms. Losses in total employment (fisheries and associated industries) may reach approximately 3-20% during 2020-50 with the >10 m fleet and associated industries bearing the majority of the losses.
This study analyzes organic adoption decisions using a rich set of time-to-organic durations collected from avocado small-holders in Michoacán Mexico. We derive robust, intrasample predictions about the profiles of entry and exit within the conventional-versus-organic complex and we explore the sensitivity of these predictions to choice of functional form. The dynamic nature of the sample allows us to make retrospective predictions and we establish, precisely, the profile of organic entry had the respondents been availed optimal amounts of adoption-restraining resources. A fundamental problem in the dynamic adoption literature, hitherto unrecognized, is discussed and consequent extensions are suggested.JEL classifications: Q12, O33, C41, C11
22A mixed-method approach was used to assess and value the ecosystem services derived from the 23 Dogger Bank, an extensive shallow sand bank in the southern North Sea. Three parallel studies were 24 undertaken that 1) identified and quantified, where possible, how indicators for ecosystem service 25 provision may change according to two future scenarios, 2) assessed members of the public's 26 willingness-to-pay for improvements to a small number of ecosystem services as a consequence of a 27 hypothetical management plan, and 3) facilitated a process of deliberation that allowed members of 28 the public to explore the uses of the Dogger Bank and the conflicts and dilemmas involved in its 29 management. Each of these studies was designed to answer different and specific research 30 questions and therefore contributes different insights about the ecosystem services delivered by the 31 Dogger Bank. This paper explores what can be gained by bringing these findings together post hoc 32 and the extent to which the different methods are complementary. Findings suggest that mixed-33 method research brings more understanding than can be gained from the individual approaches 34 alone. Nevertheless, the choice of methods used and how these methods are implemented strongly 35 affects the results obtained. 36 37 2
Ocean acidification is increasingly recognized as a component of global change that could have a wide range of impacts on marine organisms, the ecosystems they live in, and the goods and services they provide humankind. Assessment of these potential socio-economic impacts requires integrated efforts between biologists, chemists, oceanographers, economists and social scientists. But because ocean acidification is a new research area, significant knowledge gaps are preventing economists from estimating its welfare impacts. For instance, economic data on the impact of ocean acidification on significant markets such as fisheries, aquaculture and tourism are very limited (if not non-existent), and non-market valuation studies on this topic are not yet available. Our paper summarizes the current understanding of future OA impacts and sets out what further information is required for economists to assess socio-economic impacts of ocean acidification. Our aim is to provide clear directions for multidisciplinary collaborative research.Electronic supplementary materialThe online version of this article (doi:10.1007/s00227-012-2031-5) contains supplementary material, which is available to authorized users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.