Fossil proxies of near-shore sea surface temperatures and seasonality from the late Neogene Antarctic shelf

We evaluate the available palaeontological and geochemical proxy data from bivalves, bryozoans, silicoflagellates, diatoms and cetaceans for sea surface temperature (SST) regimes around the nearshore Antarctic coast during the late Neogene. These fossils can be found in a number of shallow marine sedimentary settings from three regions of the Antarctic continent, the northern Antarctic Peninsula, the Prydz Bay region and the western Ross Sea. Many of the proxies suggest maximum spring–summer SSTs that are warmer than present by up to 5 °C, which would result in reduced seasonal sea ice. The evidence suggests that the summers on the Antarctic shelf during the late Neogene experienced most of the warming, while winter SSTs were little changed from present. Feedbacks from changes in summer sea ice cover may have driven much of the late Neogene ocean warming seen in stratigraphic records. Synthesized late Neogene and earliest Quaternary Antarctic shelf proxy data are compared to the multi-model SST estimates of the Pliocene Model Intercomparison Project (PlioMIP) Experiment 2. Despite the fragmentary geographical and temporal context for the SST data, comparisons between the SST warming in each of the three regions represented in the marine palaeontological record of the Antarctic shelf and the PlioMIP climate simulations show a good concordance.     

Preliminary results from the first national in situ gamma spectrometry survey of the United Kingdom

In situ gamma spectrometry was introduced as part of a national soil and herbage pollution survey of the United Kingdom (UK) in 2002, to evaluate its potential for complimenting or even replacing the conventional soil sampling approach in environmental monitoring. A total of 128 points were measured across the whole of the UK on a 50-km grid, including 11 calibration sites, encompassing a complete spectrum of soil types, geology and depositional environments. Good comparisons are demonstrated between in situ and soil sample derived estimates of environmental radioactivity from spatially matched sampling plans. Air kerma results and the contributions to air kerma rate are also presented and compared with calibrated conventional single parameter GM based instruments. The preliminary results are presented here and show that in situ gamma spectrometry provides a rapid and robust approach, providing spatially integrated estimates for environmental monitoring purposes.     

Transformative learning and adaptation to climate change in the Canadian Prairie agro-ecosystem

Agricultural production in the Canadian Prairies is expected to be negatively affected as climate change projections for the region indicate warmer temperatures, greater incidence and severity of extreme weather events, and reduced water availability and soil moisture. To understand climate change adaption, it is important to explore the learning process that underlies farmer’s adaptation practices in the region. Prairie farmers’ learning was analyzed using Transformative Learning Theory whereby learning is categorized into three types: instrumental, communicative, and transformative. All producers learned instrumentally to some degree, but farmers who placed less emphasis on maximizing economic returns generally showed secondary learning outcomes correlating economic and environmental benefits. Communicative learning was mainly limited to producer-producer dialogue to the exclusion of other organizational and institutional players in the agricultural system. Critical reflection was explored as an important precursor to transformative learning. Strong evidence of transformative learning was rare (observed in 11% of farmers), but indicators of transformative learning were diverse and was observed in 43% of farmers. Transformative learning is believed to be important for flexible decision-making and autonomous thinking, making it advantageous for responding to changing environmental conditions. The analysis shows that a large number of information sources, and communication of information in an experiential and observable way, is conducive to transformative learning. Adaptation to environmental uncertainty, resulting from changing climatic conditions, may be most effectively dealt with when individual farmers undergo transformative learning whereby underlying assumptions that govern actions, values, and claims to knowledge are questioned.     

The relative importance of COVID-19 pandemic impacts on biodiversity conservation globally

The COVID-19 pandemic has had an enormous impact on almost all aspects of human society and endeavor; the natural world and its conservation have not been spared. Through a process of expert consultation, we identified and categorized, into 19 themes and 70 subthemes, the ways in which biodiversity and its conservation have been or could be affected by the pandemic globally. Nearly 60% of the effects have been broadly negative. Subsequently, we created a compendium of all themes and subthemes, each with explanatory text, and in August 2020 a diverse group of experienced conservationists with expertise from across sectors and geographies assessed each subtheme for its likely impact on biodiversity conservation globally. The 9 subthemes ranked highest all have a negative impact. These were, in rank order, governments sidelining the environment during their economic recovery, reduced wildlife-based tourism income, increased habitat destruction, reduced government funding, increased plastic and other solid waste pollution, weakening of nature-friendly regulations and their enforcement, increased illegal harvest of wild animals, reduced philanthropy, and threats to survival of conservation organizations. In combination, these impacts present a worrying future of increased threats to biodiversity conservation but reduced capacity to counter them. The highest ranking positive impact, at 10, was the beneficial impact of wildlife-trade restrictions. More optimistically, among impacts ranked 11-20, 6 were positive and 4 were negative. We hope our assessment will draw attention to the impacts of the pandemic and, thus, improve the conservation community's ability to respond to such threats in the future.     

Gender,households, and decision‐making for wildfire safety

This paper considers the impact of gendered norms on decision‐making for wildfire preparation and response at the household level. Focusing on Australia, it provides a theoretical thematic analysis of data acquired in 107 interviews with residents of nine different localities. It builds on existing research on gender and disaster, as well as on decision‐making and wildfires, and analyses the narratives that centre on ‘split’ households plans (where a male partner plans to stay and a female partner plans to evacuate) and disagreements within heterosexual couples as to an appropriate wildfire safety plan. The study finds that gender inequality and differences in gendered expectations are likely to create difficult conditions for negotiation between members of a heterosexual couple when there is disagreement over a plan and that this may contribute to risky decision‐making practices and outcomes. The paper reiterates, therefore, the importance of taking into account the social construction of gender in wildfire research and policy.     

Grouping Lakes for Water Quality Assessment and Monitoring: The Roles of Regionalization and Spatial Scale

Regionalization frameworks cluster geographic data to create contiguous regions of similar climate, geology and hydrology by delineating land into discrete regions, such as ecoregions or watersheds, often at several spatial scales. Although most regionalization schemes were not originally designed for aquatic ecosystem classification or management, they are often used for such purposes, with surprisingly few explicit tests of the relative ability of different regionalization frameworks to group lakes for water quality monitoring and assessment. We examined which of 11 different lake grouping schemes at two spatial scales best captures the maximum amount of variation in water quality among regions for total nutrients, water clarity, chlorophyll, overall trophic state, and alkalinity in 479 lakes in Michigan (USA). We conducted analyses on two data sets: one that included all lakes and one that included only minimally disturbed lakes. Using hierarchical linear models that partitioned total variance into within-region and among-region components, we found that ecological drainage units and 8-digit hydrologic units most consistently captured among-region heterogeneity at their respective spatial scales using all lakes (variation among lake groups = 3% to 50% and 12% to 52%, respectively). However, regionalization schemes capture less among-region variance for minimally disturbed lakes. Diagnostics of spatial autocorrelation provided insight into the relative performance of regionalization frameworks but also demonstrated that region size is only partly responsible for capturing variation among lakes. These results suggest that regionalization schemes can provide useful frameworks for lake water quality assessment and monitoring but that we must identify the appropriate spatial scale for the questions being asked, the type of management applied, and the metrics being assessed.     

Global rarity of intact coastal regions

Management of the land–sea interface is essential for global conservation and sustainability objectives because coastal regions maintain natural processes that support biodiversity and the livelihood of billions of people. However, assessments of coastal regions have focused strictly on either the terrestrial or marine realm. Consequently, understanding of the overall state of Earth's coastal regions is poor. We integrated the terrestrial human footprint and marine cumulative human impact maps in a global assessment of the anthropogenic pressures affecting coastal regions. Of coastal regions globally, 15.5% had low anthropogenic pressure, mostly in Canada, Russia, and Greenland. Conversely, 47.9% of coastal regions were heavily affected by humanity, and in most countries (84.1%) >50% of their coastal regions were degraded. Nearly half (43.3%) of protected areas across coastal regions were exposed to high human pressures. To meet global sustainability objectives, all nations must undertake greater actions to preserve and restore the coastal regions within their borders.