The contribution of nature to people: Applying concepts of values and properties to rate the management importance of natural elements

Smith, Michael J.; Wagner, Christian; Wallace, Ken; Pourabdollah, Amir; Lewis, Loretta

doi:10.1016/j.jenvman.2016.02.007

Cited by 14 publications

(4 citation statements)

References 43 publications

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“…The work presented here relies upon the use of the IAA (Wagner et al ) which has been employed previously as a method to quickly and effectively capture and aggregate people’s beliefs (Smith et al ; Smith et al ; Wallace et al ). Ongoing research by the Lab for Uncertainty in Data and Decision Making at the University of Nottingham (headed by Christian Wagner; http://www.lucidresearch.org/ ‐ last checked 23/09/2019) is increasingly providing empirical support for the notion that the IAA can effectively capture people’s beliefs along with any associated uncertainty.…”

Section: Resultsmentioning

confidence: 99%

A structured analysis of risk to important wildlife elements in three Australian Wildlife Conservancy sanctuaries

Smith

Jackson

Palmer

et al. 2019

Eco Management Restoration

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This project arose from a need to conduct a number of risk assessments to facilitate the management of AWC wildlife sanctuaries.Summary Where data and information are lacking, structured expert risk assessments can provide a powerful tool to progress natural resource planning. In many situations, practitioners make informal assessments of risk within small groups that typically constitute employees. In this study, we report on three small (in terms of experts) structured expertbased risk assessment case studies conducted by expert employees of a not-for-profit organisation (Australian Wildlife Conservancy) to demonstrate the utility of the approach. The case studies were carried out for three wildlife sanctuaries managed by AWC: Faure Island, Karakamia and Paruna. The likelihood that a set of direct risk factors would cause management failure for sets of important wildlife elements in the three sanctuaries was elicited from the small group of ecological experts. The analysis was couched in terms of a management aim to not lose species from each wildlife element over the management period of 25 years with current management. The experts believed, in particular, that increasing temperature and decreasing water availability associated with climate change were likely to impact significantly upon the vegetation elements and water-reliant fauna associated with the sanctuaries. Some vegetation elements were also thought likely to be at risk of overgrazing, unsuitable fire regimes and, in some cases, disease. In addition to predation by exotic predators at one sanctuary, the experts identified additional direct risk factors for various fauna elements associated with expected changes to the vegetation elements, including reduction in food availability, nesting habitat, and generally important life media. From the risk analyses, a preliminary conceptual model was developed to underpin monitoring and to indicate areas for possible management intervention and research. The case studies demonstrate that even in a small workplace team, structured risk assessments can be efficiently accomplished and can provide expedient and transparent information that effectively captures and aggregates the views of the experts.

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Section: Resultsmentioning

confidence: 99%

A structured analysis of risk to important wildlife elements in three Australian Wildlife Conservancy sanctuaries

Smith

Jackson

Palmer

et al. 2019

Eco Management Restoration

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“…[54]), and the human valuation of natural elements (e.g. [55]). Managing forests in light of climate change requires understanding climate’s potential effects on not only forests, but also industries and communities [26].…”

Section: Discussionmentioning

confidence: 99%

A fuzzy logic decision support model for climate-driven biomass loss risk in western Oregon and Washington

Sheehan

Bachelet

2019

PLoS ONE

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Dynamic global vegetation model (DGVM) projections are often put forth to aid resource managers in climate change-related decision making. However, interpreting model results and understanding their uncertainty can be difficult. Sources of uncertainty include embedded assumptions about atmospheric CO2 levels, uncertain climate projections driving DGVMs, and DGVM algorithm selection. For western Oregon and Washington, we implemented an Environmental Evaluation Modeling System (EEMS) decision support model using MC2 DGVM results to characterize biomass loss risk. MC2 results were driven by climate projections from 20 General Circulation Models (GCMs) and Earth System Models (ESMs), under Representative Concentration Pathways (RCPs) 4.5 and 8.5, with and without assumed fire suppression, for three different time periods. We produced maps of mean, minimum, and maximum biomass loss risk and uncertainty for each RCP / +/- fire suppression / time period. We characterized the uncertainty due to RCP, fire suppression, and climate projection choice. Finally, we evaluated whether fire or climate maladaptation mortality was the dominant driver of risk for each model run. The risk of biomass loss generally increases in current high biomass areas within the study region through time. The pattern of increased risk is generally south to north and upslope into the Coast and Cascade mountain ranges and along the coast. Uncertainty from climate future choice is greater than that attributable to RCP or +/- fire suppression. Fire dominates as the driving factor for biomass loss risk in more model runs than mortality. This method of interpreting DGVM results and the associated uncertainty provides managers with data in a form directly applicable to their concerns and should prove helpful in adaptive management planning.

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“…On the one hand, this result could be interpreted taking into consideration that participants mostly did not encounter animals during the FB session. Smith et al 2016 [80] indicated that a visible element may mostly include large (size of individuals) sedentary species, and less visible elements may include species that are shy, cryptic (mostly hidden from sight even if they are large), very small, etc. Furthermore, they considered them to be best viewed at the optimum time of day for the component species (e.g., birds may be best seen early in the morning).…”

Section: Natural Elements Contributing To Well-beingmentioning

confidence: 99%

A Multi-Country Study Assessing the Mechanisms of Natural Elements and Sociodemographics behind the Impact of Forest Bathing on Well-Being

Subirana-Malaret

Miró²,

Camacho-Guzmán

et al. 2023

Forests

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Interventions such as forest bathing (slow, mindful nature walks) have been shown to increase our connection to nature and be an effective intervention for improving health and well-being. However, there is variation in the activities delivered during forest bathing and the guidance given. Few researchers have evaluated which activities, elements of nature, and senses are responsible for improvements in well-being. The current evaluation addresses this gap and also monitors the emotional state and nature connection following guided forest bathing walks. Participants (N = 1142) across 35 countries completed post-walk evaluation surveys online. Results suggest that well-being and nature connection were rated very highly following forest bathing activities. Experiencing happy feelings and trusting emotions were especially highly rated. The natural elements perceived as contributing the most to well-being were sound-related elements. In terms of sociodemographics, women had higher well-being and nature connection ratings than men; ratings were higher in specialised nature resort areas, with little difference between natural and urban park areas; higher scores were seen in the southern hemisphere and during hot or long-day seasons. This has implications for forest bathing, forest therapy, and nature-based training organisations and their guides who want to improve their method of intervention delivery, maximise well-being, and enhance nature connection.

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The contribution of nature to people: Applying concepts of values and properties to rate the management importance of natural elements

Cited by 14 publications

References 43 publications

A structured analysis of risk to important wildlife elements in three Australian Wildlife Conservancy sanctuaries

A structured analysis of risk to important wildlife elements in three Australian Wildlife Conservancy sanctuaries

A fuzzy logic decision support model for climate-driven biomass loss risk in western Oregon and Washington

A Multi-Country Study Assessing the Mechanisms of Natural Elements and Sociodemographics behind the Impact of Forest Bathing on Well-Being

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