Validation of the exercise self-efficacy scale (ESE-S) for increased adherence to physical activity

Background: Various self-efficacy instruments have been used to predict exercise behavior. Many of these scales have been shown tobe valid and reliable measures for the strength dimension of self-efficacy, but have overlooked the construct’s dimensions of magnitude and generality. This study established the Exercise Self-Efficacy Scale (ESE-S), a measure of the strength, generality, and magnitude dimensions of exercise self-efficacy, as a valid tool towards the promotion and adherence of routine physical activity.Methods: Using a non-experimental, cross-sectional design, the ESE-S was administered to individuals aged 18 and older (n=270) whowere conveniently recruited from a large city located in Ohio. Participants were employees of a large, national company and consentedto participate in an employee wellness campaign over a two-day period. Participants completed the 24-item ESE-S onetime and demographic data were not collected. Confirmatory factor analysis was used to examine the 4-factor hypothesized structure of the ESE-S.Results: The confirmatory analysis showed that the data did not conform to the factorial structure as originally hypothesized, but didretain a 4-four factor solution. Final factors identified from the confirmatory analysis were internal strength, external strength, generality, and magnitude.Conclusions: This study confirmed a 4-factor, 21-item factorial structure. Although the structure differed from that hypothesized, theresults showed that the tool was a valid and reliable instrument to measure the dimensions of exercise self-efficacy commonly overlooked within the literature. Public health professionals and researchers can use the instrument to measure exercise self-efficacy and develop self-efficacy based exercise promotion programs

Physiological drought responses improve predictions of live fuel moisture dynamics in a Mediterranean forest.

The moisture content of live fuels is an important determinant of forest flammability. Current approaches for modelling live fuel moisture content typically focus on the use of drought indices. However, these have mixed success partly because of species-specific differences in drought responses. Here we seek to understand the physiological mechanisms driving changes in live fuel moisture content, and to investigate the potential for incorporating plant physiological traits into live fuel moisture models. We measured the dynamics of leaf moisture content, access to water resources (through stable isotope analyses) and physiological traits (including leaf water potential, stomatal conductance, and cellular osmotic and elastic adjustments) across a fire season in a Mediterranean mixed forest in Catalonia, NE Spain. We found that differences in both seasonal variation and minimum values of live fuel moisture content were a function of access to water resources and plant physiological traits. Specifically, those species with the lowest minimum moisture content and largest seasonal variation in moisture (Cistus albidus: 49–137% and Rosmarinus officinalis: 47–144%) were most reliant on shallow soil water and had the lowest values of predawn leaf water potential. Species with the smallest variation in live fuel moisture content (Pinus nigra: 96–116% and Quercus ilex: 56–91%) exhibited isohydric behaviour (little variation in midday leaf water potential, and relatively tight regulation of stomata in response to soil drying). Of the traits measured, predawn leaf water potential provided the strongest predictor of live fuel moisture content (R2 = 0.63, AIC = 249), outperforming two commonly used drought indices (both with R2 = 0.49, AIC = 258). This is the first study to explicitly link fuel moisture with plant physiology and our findings demonstrate the potential and importance of incorporating ecophysiological plant traits to investigating seasonal changes in fuel moisture and, more broadly, forest flammability.This study was made possible thanks to the collaboration of and the staff from the Natural Park of Poblet, P Sopeña, and the technical staff from MedForLab. This study was funded by the Spanish Government (RYC-2012-10970, AGL2015-69151-R). R. H. Nolan was supported with funding from the New South Wales Office of Environment and Heritage, via the Bushfire Risk Management Research Hub. We benefitted from critical comments from J Voltas, JM Moreno and L Serrano and instrument loans from R Savín

Some challenges for forest fire risk predictions in the21st Century

V.R.d.D. acknowledges funding from the National Natural Science Foundation in China(U20A20179, 31850410483), the talent proposals in Sichuan Province (2020JDRC0065), from SouthwestUniversity of Science and Technology (18ZX7131), and the MICINN (RTI2018-094691-B-C31). R.H.N.was supported with funding from the New South Wales Department of Planning, Industry andEnvironment, via the NSW Bushfire Risk Management Research Hub

Forests, fire and vegetation change impacts on Murray-Darling basin water resources

The Murray-Darling River system is perhaps Australia’s most important, with significant social, cultural and environmental values including 16 Ramsar listed wetlands. The MDB is home to 2.6 million people and produces about $24 billion worth in agricultural production each year (about one-third of total value for Australia). Hydrologic issues, typified by water availability and quality, have existed for many years, peaking during the Millennium drought from 1997 to 2010. Competing interests (i.e. irrigation, tourism, environmental heath), and the declining flows and water quality during droughts, led governments and water management agencies to consider the risks to water resources in the system in the early-mid 2000s. This paper reviews changes to risks associated with forest dynamics, as identified by - afforestation and bushfire–and considers new issues that have emerged since that analysis. It was found that the potential impacts of bushfire on stream flows were over-estimated in past studies, and that a planned significant afforestation expansion into agricultural and grazing land that was projected to reduce stream flows did not occur. While these two risks now do not seem likely to have significant future impacts on flows, or consequent effects on downstream users, the interaction of elevated CO2 and increasing temperatures on vegetation functioning and subsequent hydrologic consequences at catchment scale require further research and analysis. Reduced rainfall and increased temperatures under future climate change are likely to have an impact on inputs and flows. Uncertainties in how these changes, and feedbacks between climate, drought, more frequent fire and vegetation responses, impact on system hydrology also require further investigation

Forest fire threatens global carbon sinks and population centres under rising atmospheric water demand

Levels of fire activity and severity that are unprecedented in the instrumental record have recently been observed in forested regions around the world. Using a large sample of daily fire events and hourly climate data, here we show that fire activity in all global forest biomes responds strongly and predictably to exceedance of thresholds in atmospheric water demand, as measured by maximum daily vapour pressure deficit. The climatology of vapour pressure deficit can therefore be reliably used to predict forest fire risk under projected future climates. We find that climate change is projected to lead to widespread increases in risk, with at least 30 additional days above critical thresholds for fire activity in forest biomes on every continent by 2100 under rising emissions scenarios. Escalating forest fire risk threatens catastrophic carbon losses in the Amazon and major population health impacts from wildfire smoke in south Asia and east Africa.he authors acknowledge the New South Wales Government’s Department of Planning, Industry & Environment for providing funds to support this research via the NSW Bushfire Risk Management Research Hub. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. For CMIP the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Some of the analysis was carried out on the National Computational Infrastructure (NCI) which is supported by the Australian Commonwealth Government

Using dense Sentinel-2 time series to explore combined fire and drought impacts in eucalypt forests

Following one of the driest years on record, millions of hectares of forests in southeast Australia were burned in the 2019-20200 "Black Summer" wildfires. In addition to the areas burned, drought related canopy collapse, dieback and tree mortality was widely observed. In this paper, we present a method to map canopy damage due to drought and fire across a large area. Sentinel-2 satellite imagery was used in a monthly time series to highlight areas of forest where the Normalized Burn Ratio index was significantly below a pre-disturbance "stable" period. The stable period was defined as the 3 years prior to 2019 and the disturbance thresholds are based on bioregion specific standard deviations below pre-disturbance means. The novel methods enabled drought impacted forests to be identified, including those which were subsequently burned by wildfire. Across the 20 Mha of forests studied, 9.9 Mha (49%) fell below the disturbance threshold. Of that, 5.8 Mha was disturbed by fire and a further 4.1 Mha by drought outside of the fire extent. Within the fire extent, almost 0.9 Mha was identified as being significantly drought affected prior to being burned. An analysis of spectral recovery following substantial rainfall from February 2020 onward indicates that most of the areas impacted by both drought and fire have similar rates of recovery to those impacted only by fire. There are some areas, however, where the combined effects of the "double disturbance "appears to be hindering recovery. The methods presented here are easily transferrable and demonstrate an approach for monitoring forest disturbance at higher temporal and spatial scales than those typically used

Position statement and considerations for remotely delivered pulmonary rehabilitation services.

Statement and methods of development The challenge of access to pulmonary rehabilitation (PR) and meeting associated service demand is certainly not new. However, the COVID-19 pandemic set an unprecedented challenge evoking rapid adaptation of services. An inherent spotlight has been placed on remotely delivered services. As we look beyond the height of this pandemic, it is important to reflect and consider what has been learnt, and emerging perspectives on the future of PR service delivery. This document updates the ‘ACPRC statement and considerations for the remote delivery of pulmonary rehabilitation services during the COVID-19 pandemic’ (1) and seeks to provide pragmatic practical guidance for remotely delivered models of PR for healthcare professionals that should be used alongside local guidance. The recommendations provided are for guidance only, and may be updated in response to further national guidelines and new evidence. An online survey of PR healthcare professionals (ACPRC pulmonary rehabilitation provision during COVID-19 and beyond!) was conducted in the development of this document to scope current practice in PR services across the U.K. Informed by queries received by the ACPRC, the survey was first conducted in 2020 and repeated in July 2021 with the aim of capturing a snapshot of practice, one-year post onset of the COVID-19 pandemic. The survey was publicised and disseminated via Twitter using the @theACPRC handle, with request that one team member completed on behalf of their service. A summary of the 21 responses can be found in Appendix 1 which served to inform the content of this document. A literature review was undertaken to identify and integrate relevant published trials since the 2021 Cochrane review of telerehabilitation for people with chronic respiratory disease (2). Details of the search strategy can be found in Appendix 2 and summary of study characteristics and outcomes in Appendix 3. Anonymous feedback from four PR services was collated and analysed to identify common themes in experiences of remotely delivered PR services. A summary of this process and collated feedback can be found in Appendix 4. Key terms Remotely delivered models – the delivery of pulmonary rehabilitation services at a distance; the interaction between healthcare professional and participant using communication and information technologies, that may take place in real-time (synchronously) or asynchronously (1). It may be delivered by a virtual platform, an online web application or programme, or referred to as telerehabilitation (note: this terminology is used where studies have reported it). Field walking tests are commonly employed to evaluate exercise capacity, prescribe exercise, and evaluate treatment response in chronic respiratory diseases (3). The most valid, reliable and responsive ones are the six-minute walk test (6MWT), incremental (ISWT) and endurance walk test (ESWT). NACAP – the National Asthma and COPD Audit Programme is commissioned by the Healthcare Quality Improvement Partnership (HQIP), as part of the National Clinical Audit and Patient Outcomes Programme (NCAPOP), and currently covers England and Wales. The programme is led by the Royal College of Physicians (RCP) and includes a pulmonary rehabilitation workstream. PRSAS – the Pulmonary Rehabilitation Services Accreditation Scheme was launched in April 2018, and is run by the Royal College of Physicians (RCP)

A semi-mechanistic model for predicting daily variations in species-level live fuel moisture content

Live Fuel Moisture Content (LFMC) is one of the main factors affecting forest ignitability as it determines the availability of existing live fuel to burn. Currently, LFMC is monitored through spectral vegetation indices or inferred from meteorological drought indices. While useful, neither approach provides mechanistic insights into species-specific LFMC variation and they are limited in the ability to forecast LFMC under altered future climates. Here, we developed a semi-mechanistic model to predict daily variation in LFMC across woody species from different functional types by adjusting a soil water balance model which estimates predawn leaf water potential (Ψpd). Our overarching goal was to balance the trade-off between biological realism, which enhances model applicability, and parameterization complexity, which may limit its value within operational settings. After calibration, model predictions were validated against a dataset comprising 1659 LFMC observations across peninsular Spain, belonging to different functional types and from contrasting climates. The overall goodness of fit for our model (R2 = 0.5) was better than that obtained by an existing models based on drought indices (R2 = 0.3) or spectral vegetation indices (R2 = 0.1). We observed the best predictive performance for seeding shrubs (R2 = 0.6) followed by trees (R2 = 0.5) and resprouting shrubs (R2 = 0.4). Through its relatively simple parameterization, the approach developed here may pave the way for a new generation of process-based models that can be used for operational purposes within fire risk mitigation scenarios.This work was partly founded by the Spanish Government, grant number RTI2018-094691-B-C31 (MCIU/AEI/FEDER, EU) . R.B-R. ac-knowledges the Community of Madrid for the predoctoral contract PEJD-2019-PRE/AMB-15,644 funded by the Youth Employment Initia-tive (YEI) . M. De C. was supported by the Spanish Ministry of Science and Innovation via competitive grant CGL2017-89149-C2-2-R. UNED founding for open access publishing

Mulga, a major tropical dry open forest of Australia: Recent insights to carbon and water fluxes

© 2016 IOP Publishing Ltd. Mulga, comprised of a complex of closely related Acacia spp., grades from a low open forest to tall shrublands in tropical and sub-tropical arid and semi-arid regions of Australia and experiences warm-to-hot annual temperatures and a pronounced dry season. This short synthesis of current knowledge briefly outlines the causes of the extreme variability in rainfall characteristic of much of central Australia, and then discusses the patterns and drivers of variability in carbon and water fluxes of a central Australian low open Mulga forest. Variation in phenology and the impact of differences in the amount and timing of precipitation on vegetation function are then discussed. We use field observations, with particular emphasis on eddy covariance data, coupled with modelling and remote sensing products to interpret inter-seasonal and inter-annual patterns in the behaviour of this ecosystem. We show that Mulga can vary between periods of near carbon neutrality to periods of being a significant sink or source for carbon, depending on both the amount and timing of rainfall. Further, we demonstrate that Mulga contributed significantly to the 2011 global land sink anomaly, a result ascribed to the exceptional rainfall of 2010/2011. Finally, we compare and contrast the hydraulic traits of three tree species growing close to the Mulga and show how each species uses different combinations of trait strategies (for example, sapwood density, xylem vessel implosion resistance, phenological guild, access to groundwater and Huber value) to co-exist in this semi-arid environment. Understanding the inter-annual variability in functional behaviour of this important arid-zone biome and mechanisms underlying species co-existence will increase our ability to predict trajectories of carbon and water balances for future changing climates