Arsenic (As) species were quantified by HPLC-HG-AFS in water and vegetables from a rural area of West Bengal (India). Inorganic species predominated in vegetables (including rice) and drinking water; in fact, inorganic arsenic (i-As) represented more than 80% of the total arsenic (t-As) content. To evaluate i-As intake in an arsenic affected rural village, a food survey was carried out on 129 people (69 men and 60 women). The data from the survey showed that the basic diet, of this rural population, was mainly rice and vegetables, representing more than 50% of their total daily food intake. During the periods when nonvegetarian foods (fish and meat) were scarce, the importance of rice increased, and rice alone represented more than 70% of the total daily food intake. The food analysis and the food questionnaires administrated led us to establish a daily intake of i-As of about 170 microg i-As day (-1), which was above the tolerable daily intake of 150 microg i-As day (-1), generally admitted. Our results clearly demonstrated that food is a very important source of i-As and that this source should never be forgotten in populations depending heavily on vegetables (mainly rice) for their diet.
Existing frameworks for analysing interactions between social and natural systems (e.g. Social-Ecological Systems framework, Ecosystem Services concept) do not sufficiently consider and operationalize the dynamic interactions between people's values, attitudes and understandings of the human-nature relationship at both individual and collective levels. We highlight the relevance of individual and collective understandings of the human-nature relationship as influencing factors for environmental behaviour, which may be reflected in natural resource management conflicts, and review the diversity of existing social-cultural concepts, frameworks and associated research methods. Particular emphasis is given to the contextsensitivity of social-cultural concepts in decision-making. These aspects are translated into a conceptual model aiming not to replace but to expand and enhance existing frameworks. Integrating this model into existing frameworks provides a tool for the exploration of how social-cultural concepts of nature interact with existing contexts to influence governance of social-ecological systems.
The public justification for nature conservation currently rests on two pillars: hedonic (instrumental) values, and moral values. Yet, these representations appear to do little motivational work in practice; biodiversity continues to decline, and biodiversity policies face a wide implementation gap. In seven EU countries, we studied why people act for nature beyond professional obligations. We explore the motivations of 105 committed actors for nature in detail using life-history interviews, and trace these back to their childhood. Results show that the key concept for understanding committed action for nature is meaningfulness. People act for nature because nature is meaningful to them, connected to a life that makes sense and a difference in the world. These eudemonic values (expressing the meaningful life) constitute a crucial third pillar in the justification of nature conservation. Important policy implications are explored, e.g. with respect to public discourse and the encounter with nature in childhood.
Understanding the causes of land use change is of great importance for issues of tropical deforestation, agricultural development and biodiversity conservation. Many quantitative studies, therefore, aim to link land use change to its causal 'driving forces.' The epistemology of virtually all these studies is inductive, searching for correlations within relatively large, sometimes spatially explicit, datasets. This can be sound science but we here aim to exemplify that there is also scope for more deductive approaches that test a pre-defined explanatory theory. The paper first introduces the principles and merits of inductive and more deductive types of land use modeling. It then presents one integrated causal model that is subsequently specified to predict land use in an area in northeastern Philippines in a deductive manner, and tested against the observed land use in that area. The same set of land use data is also used in an inductive (multinomial regression) approach. With a goodness-of-prediction of 70% of the deductive model and a goodness-of-fit of 77% of the inductive model, both perform equally well, statistically. Because the deductive model explicitly contains not only the causal factors but also the causal mechanisms that explain land use, the deductive model then provides a more truly causal, as well as more theory-connected, understanding of land use.This provides land use scholarship with an invitation to add more deductive (theory-driven and theory-building) daring to its methodological repertoire.
The aim of this study was to explore the feasibility and effectiveness of mindful walking in nature as a possible means to maintain mindfulness skills after a mindfulness-based cognitive therapy (MBCT) or mindfulness-based stress reduction (MBSR) course. Mindful walking alongside the river Rhine took place for 1, 3, 6, or 10 days, with a control period of a similar number of days, 1 week before the mindful walking period. In 29 mindfulness participants, experience sampling method (ESM) was performed during the control and mindful walking period. Smartphones offered items on positive and negative affect and state mindfulness at random times during the day. Furthermore, self-report questionnaires were administered before and after the control and mindful walking period, assessing depression, anxiety, stress, brooding, and mindfulness skills. ESM data showed that walking resulted in a significant improvement of both mindfulness and positive affect, and that state mindfulness and positive affect prospectively enhanced each other in an upward spiral. The opposite pattern was observed with state mindfulness and negative affect, where increased state mindfulness predicted less negative affect. Exploratory questionnaire data indicated corresponding results, though non-significant due to the small sample size. This is the first time that ESM was used to assess interactions between state mindfulness and momentary affect during a mindfulness intervention of several consecutive days, showing an upward spiral effect. Mindful walking in nature may be an effective way to maintain mindfulness practice and further improve psychological functioning.
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