Why bees are critical for achieving sustainable development

Reductions in global bee populations are threatening the pollination benefits to both the planet and people. Whilst the contribution of bee pollination in promoting sustainable development goals through food security and biodiversity is widely acknowledged, a range of other benefits provided by bees has yet to be fully recognised. We explore the contributions of bees towards achieving the United Nation’s Sustainable Development Goals (SDGs). Our insights suggest that bees potentially contribute towards 15 of the 17 SDGs and a minimum of 30 SDG targets. We identify common themes in which bees play an essential role, and suggest that improved understanding of bee contributions to sustainable development is crucial for ensuring viable bee systems.     

Quantifying the impact of vegetation-based metrics on species persistence when choosing offsets for habitat destruction

Developers are often required by law to offset environmental impacts through targeted conservation actions. Most offset policies specify metrics for calculating offset requirements, usually by assessing vegetation condition. Despite widespread use, there is little evidence to support the effectiveness of vegetation-based metrics for ensuring biodiversity persistence. We compared long-term impacts of biodiversity offsetting based on area only; vegetation condition only; area × habitat suitability; and condition × habitat suitability in development and restoration simulations for the Hunter Region of New South Wales, Australia. We simulated development and subsequent offsetting through restoration within a virtual landscape, linking simulations to population viability models for 3 species. Habitat gains did not ensure species persistence. No net loss was achieved when performance of offsetting was assessed in terms of amount of habitat restored, but not when outcomes were assessed in terms of persistence. Maintenance of persistence occurred more often when impacts were avoided, giving further support to better enforce the avoidance stage of the mitigation hierarchy. When development affected areas of high habitat quality for species, persistence could not be guaranteed. Therefore, species must be more explicitly accounted for in offsets, rather than just vegetation or habitat alone. Declines due to a failure to account directly for species population dynamics and connectivity overshadowed the benefits delivered by producing large areas of high-quality habitat. Our modeling framework showed that the benefits delivered by offsets are species specific and that simple vegetation-based metrics can give misguided impressions on how well biodiversity offsets achieve no net loss.     

Risk assessment of heavy metal(loid)s via Spinacia oleracea ingestion after sewage water irrigation practices in Vehari District

Environmental Science and Pollution Research - The use of sewage water as an irrigation source can be beneficial in agricultural practices, however, it may result in human health risks due to the...     

New York City Environmental Justice Alliance Waterfront Justice Project

This paper reviews key challenges and opportunities addressed by the New York City Environmental Justice Alliance's (NYC-EJA) Waterfront Justice Project, a citywide campaign to promote climate resilience and sustainability in urban industrial waterfront communities of New York City. NYC-EJA is a non-profit membership-driven network linking grassroots organisations from low-income neighbourhoods and communities of colour in their struggle for environmental justice. The Waterfront Justice Project is documenting community vulnerability in the context of climate change impacts, sources of industrial pollution, and demographic and socio-economic trends. This campaign is enabling community-based organisations, environmental justice communities, city planners, local and state government agencies, local business-owners, and other stakeholders to work in partnership to achieve community resilience while advocating for local jobs and promoting best practices in pollution prevention. New York City's waterfront policies ease the siting and clustering of public infrastructure, water pollution control plants, waste transfer stations, energy facilities, and heavy manufacturing uses in six areas designated as Significant Maritime and Industrial Areas (SMIAs). The SMIAs are located in environmental justice communities, largely low-income communities and communities of colour, in the South Bronx, Brooklyn, Queens, and Staten Island. New York City's local waterfront land use and zoning policies create cumulative risk exposure not only to residents and workers in the host waterfront communities, but also, in the event of storm surge or sea-level rise, to neighbouring, upland communities.     

Modelling short-term effects of ozone on morbidity: an application to the city of Milano,Italy, 1995–2003

In this paper, we explore a range of concerns that arise in measuring short-term effects of ozone on health. In particular, we tackle the problem of measuring exposure using alternative daily measures of ozone derived from hourly concentrations. We adopt the exposure paradigm of Chiogna and Bellini (Environmetrics 13:55–69, 2002) extending it to ozone concentrations, and we compare its performances with respect to traditional exposure measures by exploiting model selection. To investigate the stability of model selection, we then apply the idea of bootstrapping the modelling process.     

Assessing climate change and health vulnerability at the local level: Travis County,Texas

We created a measure to help comprehend population vulnerability to potential flooding and excessive heat events using health, built environment and social factors. Through principal component analysis (PCA), we created non‐weighted sum index scores of literature‐reviewed social and built environment characteristics. We created baseline poor health measures using 1999–2005 age‐adjusted cardiovascular and combined diabetes and hypertension mortality rates to correspond with social–built environment indices. We mapped US Census block groups by linked age‐adjusted mortality and a PCA‐created social–built environment index. The goal was to measure flooding and excessive heat event vulnerability as proxies for population vulnerability to climate change for Travis County, Texas. This assessment identified communities where baseline poor health, social marginalisation and built environmental impediments intersected. Such assessments may assist targeted interventions and improve emergency preparedness in identified vulnerable communities, while fostering resilience through the focus of climate change adaptation policies at the local level.