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\"When William Temple Hornaday wrote this text for the Smithsonian Institution in 1889, the thirty million buffalo that had once roamed North America had been reduced to a few hundred. Alarmed by this decimation, Hornaday - a hunter, zoologist, writer, and the Smithsonian's chief taxidermist - set out for Montana to collect specimens for preservation at the Smithsonian. One of the main results of his trip was The Extermination of the American Bison, a timely recounting of the history and destruction of the buffalo, and a landmark work in early conservation advocacy.\"--Jacket.

Although gastro-oesophageal reflux disease (GORD) is a common medical complaint, there is currently no consensus on the global prevalence of GORD. The aim of this study was to conduct a systematic review and meta-analysis on GORD prevalence and risk factors at a global level. MEDLINE, EMBASE, CINAHL, Scopus, Cochrane library, and Google Scholar were systematically searched, without language restrictions, for studies on the prevalence and risk factors of GORD. Data were pooled using a random effects model (95% confidence interval), and the odds ratio and relative risk for each risk factor were calculated. Out of 34,355 search results, 96 records reporting the results from 102 studies fulfilled the inclusion criteria, representing 37 countries and all regions of the UN geoscheme. The global pooled prevalence of GORD was 13.98% and varied greatly according to region (12.88% in Latin America and the Caribbean to 19.55% in North America) and country (4.16% in China to 22.40% in Turkey). Using the United Nations 2017 Revision of World Population Prospects, the estimated number of individuals suffering from GORD globally is 1.03 billion. Multiple risk factors associated with a significant increase in the risk of GORD were also identified. This systematic review and meta-analysis revealed that although a substantial proportion (13.98%) of the global population suffers from GORD, there are significant variations between regions and countries. Risk factors for GORD were also identified which may allow clinicians to recognise individuals most at risk.

\"Strangers No More is the first book to compare immigrant integration across key Western countries. Focusing on low-status newcomers and their children, it examines how they are making their way in four critical European countries--France, Germany, Great Britain, and the Netherlands--and, across the Atlantic, in the United States and Canada. This systematic, data-rich comparison reveals their progress and the barriers they face in an array of institutions--from labor markets and neighborhoods to educational and political systems--and considers the controversial questions of religion, race, identity, and intermarriage. Richard Alba and Nancy Foner shed new light on questions at the heart of concerns about immigration. They analyze why immigrant religion is a more significant divide in Western Europe than in the United States, where race is a more severe obstacle. They look at why, despite fears in Europe about the rise of immigrant ghettoes, residential segregation is much less of a problem for immigrant minorities there than in the United States. They explore why everywhere, growing economic inequality and the proliferation of precarious, low-wage jobs pose dilemmas for the second generation. They also evaluate perspectives often proposed to explain the success of immigrant integration in certain countries, including nationally specific models, the political economy, and the histories of Canada and the United States as settler societies. Strangers No More delves into issues of pivotal importance for the present and future of Western societies, where immigrants and their children form ever-larger shares of the population.\"--Jacket.

Background. Around two-thirds of global GHG emissions are directly and indirectly linked to household consumption, with a global average of about 6 tCO2eq/cap. The average per capita carbon footprint of North America and Europe amount to 13.4 and 7.5 tCO2eq/cap, respectively, while that of Africa and the Middle East-to 1.7 tCO2eq/cap on average. Changes in consumption patterns to low-carbon alternatives therefore present a great and urgently required potential for emission reductions. In this paper, we synthesize emission mitigation potentials across the consumption domains of food, housing, transport and other consumption. Methods. We systematically screened 6990 records in the Web of Science Core Collections and Scopus. Searches were restricted to (1) reviews of lifecycle assessment studies and (2) multiregional input-output studies of household consumption, published after 2011 in English. We selected against pre-determined eligibility criteria and quantitatively synthesized findings from 53 studies in a meta-review. We identified 771 original options, which we summarized and presented in 61 consumption options with a positive mitigation potential. We used a fixed-effects model to explore the role of contextual factors (geographical, technical and socio-demographic factors) for the outcome variable (mitigation potential per capita) within consumption options. Results and discussion. We establish consumption options with a high mitigation potential measured in tons of CO2eq/capita/yr. For transport, the options with the highest mitigation potential include living car-free, shifting to a battery electric vehicle, and reducing flying by a long return flight with a median reduction potential of more than 1.7 tCO2eq/cap. In the context of food, the highest carbon savings come from dietary changes, particularly an adoption of vegan diet with an average and median mitigation potential of 0.9 and 0.8 tCO2eq/cap, respectively. Shifting to renewable electricity and refurbishment and renovation are the options with the highest mitigation potential in the housing domain, with medians at 1.6 and 0.9 tCO2eq/cap, respectively. We find that the top ten consumption options together yield an average mitigation potential of 9.2 tCO2eq/cap, indicating substantial contributions towards achieving the 1.5 °C-2 °C target, particularly in high-income context.

\"Wampum has become a synonym for money, and it is widely assumed that it served the same purposes as money among the Native Algonquians even after coming into contact with European colonists' money. But to equate wampum with money only matches one slippery term with another, as money itself was quite ill-defined in North America for decades during its colonization. Fledgling colonial currencies assimilated much more from Native American trading practices than they imposed on the locals, so much so that colonists regularly expressed fears of \"becoming Indians\" in their widespread use of paper money, a novel economic innovation adapted from wampum. In this stimulating and intriguing book, Marc Shell illuminates the context in which wampum was used by describing how money circulated in the colonial period and the early history of the United States. Wampum itself, generally tubular beads made from clam or conch shells, was hardly a primitive version of a coin or dollar bill, as it represented to both Native Americans and colonial Europeans a unique medium through which language, art, culture, and even conflict were negotiated. This wide-ranging exploration of economics, literature, and racial and ethnic imagery throughout American history is extensively illustrated with more than a hundred images of documents, artworks, and artifacts, including numerous depictions of Native Americans on paper money.\"--Jacket.

The North American multi-model ensemble (NMME) is a multi-model seasonal forecasting system consisting of a collection of models generated from several climate modelling centers. This research examined the monthly precipitation in North Maluku generated by five NMME models. The purpose of this research is to assess the performance of monthly precipitation prediction by using RMSE and Rank Histogram analysis. The NMME models are verified against observed precipitation. The analysis shows that they are biased and underdispersive. Among the five NMME models, the Center for Ocean-Land-Atmosphere Studies (COLA) exhibits the best predictive skill. The performances of the Canadian Meteorological Centre (CMC) are relatively worse than that of the other models. The COLA model shows relatively high skill when used to forecast May-November monthly precipitation. Meanwhile, the National Oceanic and Atmospheric Administration (NOAA)'s Geophysical Fluid Dynamics Laboratory (GFDL) model shows high skill in December-April periods. The ensemble forecast is calibrated with the BMA approach in order to obtain reliable forecasts.

Determining the mechanisms driving range-wide reductions in Atlantic salmon marine survival is hindered by an insufcient understanding of their oceanic ecology and distribution. We attached 204 pop-up satellite archival tags to post-spawned salmon when they migrated to the ocean from seven European areas and maiden North American salmon captured at sea at West Greenland. Individuals migrated further north and east than previously reported and displayed increased diving activity near oceanographic fronts, emphasizing the importance of these regions as feeding areas. The oceanic distribution difered among individuals and populations, but overlapped more between geographically proximate than distant populations. Dissimilarities in distribution likely contribute to variation in growth and survival within and among populations due to spatio-temporal diferences in environmental conditions. Climate-induced changes in oceanographic conditions will alter the location of frontal areas and may have stock-specifc efects on Atlantic salmon population dynamics, likely having the largest impacts on southern populations.

The physical expansion of urban areas lead to lasting impacts on landscapes and livelihoods. Here, we conduct a global synthesis of trends in urban land expansion, in urban population densities, and lands converted into urban from 1970 to 2010. We find that small-medium urban areas lead their larger counterparts in both rates of urban land expansion and decreases in urban population densities. Urban population densities have consistently declined only in India, China, North America, and Europe with significant exceptions across city sizes. Over 60% of the reported urban expansion was formerly agricultural land with China, Southeast Asia, and Europe in the lead. Counterfactual analysis suggests that, due to the decrease in urban population densities, an estimated 125 000 km2 land was converted to urban land uses that could have otherwise remained in cultivation or as natural vegetation. In particular, in India and Nigeria, with much of their populations dependent on agriculture, 85% and 30% more land, respectively, was converted to urban land due to decreasing urban population densities. With increasing urbanization, proactive management of urban land expansion, especially in small and medium cities, will be critical for saving agricultural lands in peri-urban regions while creating equitable and affordable urban landscapes.

The summer of 2018 witnessed a number of extreme weather events such as heatwaves in North America, Western Europe and the Caspian Sea region, and rainfall extremes in South-East Europe and Japan that occurred near-simultaneously. Here we show that some of these extremes were connected by an amplified hemisphere-wide wavenumber 7 circulation pattern. We show that this pattern constitutes an important teleconnection in Northern Hemisphere summer associated with prolonged and above-normal temperatures in North America, Western Europe and the Caspian Sea region. This pattern was also observed during the European heatwaves of 2003, 2006 and 2015 among others. We show that the occurrence of this wave 7 pattern has increased over recent decades.

Warming surface temperatures have driven a substantial reduction in the extent and duration of Northern Hemisphere snow cover 1 – 3 . These changes in snow cover affect Earth’s climate system via the surface energy budget, and influence freshwater resources across a large proportion of the Northern Hemisphere 4 – 6 . In contrast to snow extent, reliable quantitative knowledge on seasonal snow mass and its trend is lacking 7 – 9 . Here we use the new GlobSnow 3.0 dataset to show that the 1980–2018 annual maximum snow mass in the Northern Hemisphere was, on average, 3,062 ± 35 billion tonnes (gigatonnes). Our quantification is for March (the month that most closely corresponds to peak snow mass), covers non-alpine regions above 40° N and, crucially, includes a bias correction based on in-field snow observations. We compare our GlobSnow 3.0 estimates with three independent estimates of snow mass, each with and without the bias correction. Across the four datasets, the bias correction decreased the range from 2,433–3,380 gigatonnes (mean 2,867) to 2,846–3,062 gigatonnes (mean 2,938)—a reduction in uncertainty from 33% to 7.4%. On the basis of our bias-corrected GlobSnow 3.0 estimates, we find different continental trends over the 39-year satellite record. For example, snow mass decreased by 46 gigatonnes per decade across North America but had a negligible trend across Eurasia; both continents exhibit high regional variability. Our results enable a better estimation of the role of seasonal snow mass in Earth’s energy, water and carbon budgets. Applying a bias correction to a state-of-the-art dataset covering non-alpine regions of the Northern Hemisphere and to three other datasets yields a more constrained quantification of snow mass in March from 1980 to 2018.