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High-resolution vegetation and climate change associated with Pliocene Australopithecus afarensis.

Plio-Pleistocene global climate change is believed to have had an important influence on local habitats and early human evolution in Africa. Responses of hominin lineages to climate change have been difficult to test, however, because this procedure requires well documented evidence for connections between global climate and hominin environment. Through high-resolution pollen data from Hadar, Ethiopia, we show that the hominin Australopithecus afarensis accommodated to substantial environmental variability between 3.4 and 2.9 million years ago. A large biome shift, up to 5 degrees C cooling, and a 200- to 300-mm/yr rainfall increase occurred just before 3.3 million years ago, which is consistent with a global marine delta(18)O isotopic shift.

Animals↗

Cenozoic continental climatic evolution of Central Europe.

Continental climate evolution of Central Europe has been reconstructed quantitatively for the last 45 million years providing inferred data on mean annual temperature and precipitation, and winter and summer temperatures. Although some regional effects occur, the European Cenozoic continental climate record correlates well with the global oxygen isotope record from marine environments. During the last 45 million years, continental cooling is especially pronounced for inferred winter temperatures but hardly observable from summer temperatures. Correspondingly, Cenozoic cooling in Central Europe is directly associated with an increase of seasonality. In contrast, inferred Cenozoic mean annual precipitation remained relatively stable, indicating the importance of latent heat transport throughout the Cenozoic. Moreover, our data support the concept that changes in atmospheric CO2 concentrations, although linked to climate changes, were not the major driving force of Cenozoic cooling.

Carbon Dioxide↗

Abrupt tropical climate change: past and present.

Three lines of evidence for abrupt tropical climate change, both past and present, are presented. First, annually and decadally averaged delta(18)O and net mass-balance histories for the last 400 and 2,000 yr, respectively, demonstrate that the current warming at high elevations in the mid- to low latitudes is unprecedented for at least the last 2 millennia. Second, the continuing retreat of most mid- to low-latitude glaciers, many having persisted for thousands of years, signals a recent and abrupt change in the Earth's climate system. Finally, rooted, soft-bodied wetland plants, now exposed along the margins as the Quelccaya ice cap (Peru) retreats, have been radiocarbon dated and, when coupled with other widespread proxy evidence, provide strong evidence for an abrupt mid-Holocene climate event that marked the transition from early Holocene (pre-5,000-yr-B.P.) conditions to cooler, late Holocene (post-5,000-yr-B.P.) conditions. This abrupt event, approximately 5,200 yr ago, was widespread and spatially coherent through much of the tropics and was coincident with structural changes in several civilizations. These three lines of evidence argue that the present warming and associated glacier retreat are unprecedented in some areas for at least 5,200 yr. The ongoing global-scale, rapid retreat of mountain glaciers is not only contributing to global sea-level rise but also threatening freshwater supplies in many of the world's most populous regions.

Greenhouse Effect↗

Rapid evolution of flowering time by an annual plant in response to a climate fluctuation.

Ongoing climate change has affected the ecological dynamics of many species and is expected to impose natural selection on ecologically important traits. Droughts and other anticipated changes in precipitation may be particularly potent selective factors, especially in arid regions. Here we demonstrate the evolutionary response of an annual plant, Brassica rapa, to a recent climate fluctuation resulting in a multiyear drought. Ancestral (predrought) genotypes were recovered from stored seed and raised under a set of common environments with descendant (postdrought) genotypes and with ancestorxdescendant hybrids. As predicted, the abbreviated growing seasons caused by drought led to the evolution of earlier onset of flowering. Descendants bloomed earlier than ancestors, advancing first flowering by 1.9 days in one study population and 8.6 days in another. The intermediate flowering time of ancestorxdescendant hybrids supports an additive genetic basis for divergence. Experiments confirmed that summer drought selected for early flowering, that flowering time was heritable, and that selection intensities in the field were more than sufficient to account for the observed evolutionary change. Natural selection for drought escape thus appears to have caused adaptive evolution in just a few generations. A systematic effort to collect and store propagules from suitable species would provide biologists with materials to detect and elucidate the genetic basis of further evolutionary shifts driven by climate change.

Biological Evolution↗

Climatic suitability for malaria transmission in Africa, 1911-1995.

Time series analysis of a climate-driven model of malaria transmission shows limited evidence for an increase in suitability during the last century across Africa. Outside areas where climate was always or never suitable, <17% of the continent showed significant trends in malaria transmission. Of these areas, 5.7% showed positive deterministic trends, 6.1% had negative deterministic trends, and 5.1% exhibited stochastic trends. In areas with positive trends, precipitation, rather than temperature, was the primary forcing variable. This analysis highlights the need to examine the relationship between climate and malaria more closely and to fully consider nonclimatic factors as drivers of increased malaria transmission across the continent.

Africa↗

Global climate change.

Most of the last 100,000 years or longer has been characterized by large, abrupt, regional-to-global climate changes. Agriculture and industry have developed during anomalously stable climatic conditions. New, high-resolution analyses of sediment cores using multiproxy and physically based transfer functions allow increasingly confident interpretation of these past changes as having been caused by "band jumps" between modes of operation of the climate system. Recurrence of such band jumps is possible and might be affected by human activities.

Agriculture↗

Nonglacial rapid climate events: past and future.

The paleoclimate record makes it clear that rapid climate shifts of the 20th century are only a subset of possible climate system behavior that might occur in the absence of glacial conditions, and that climatic surprises could be a challenge for society even in the absence of significant greenhouse warming.

Animals↗

Climate change is affecting altitudinal migrants and hibernating species.

Calendar date of the beginning of the growing season at high altitude in the Colorado Rocky Mountains is variable but has not changed significantly over the past 25 years. This result differs from growing evidence from low altitudes that climate change is resulting in a longer growing season, earlier migrations, and earlier reproduction in a variety of taxa. At our study site, the beginning of the growing season is controlled by melting of the previous winter's snowpack. Despite a trend for warmer spring temperatures the average date of snowmelt has not changed, perhaps because of the trend for increased winter precipitation. This disjunction between phenology at low and high altitudes may create problems for species, such as many birds, that migrate over altitudinal gradients. We present data indicating that this already may be true for American robins, which are arriving 14 days earlier than they did in 1981; the interval between arrival date and the first date of bare ground has grown by 18 days. We also report evidence for an effect of climate change on hibernation behavior; yellow-bellied marmots are emerging 38 days earlier than 23 years ago, apparently in response to warmer spring air temperatures. Migrants and hibernators may experience problems as a consequence of these changes in phenology, which may be exacerbated if climate models are correct in their predictions of increased winter snowfall in our study area. The trends we report for earlier formation of permanent snowpack and for a longer period of snow cover also have implications for hibernating species.

Altitude↗

Correlation between asthma and climate in the European Community Respiratory Health Survey.

The European Community Respiratory Health Survey, performed during 1991-1993, found a remarkable geographical variability in the prevalence of asthma and asthma-like symptoms in individuals aged 20-44 yr. The highest values occurred in the English-speaking centers. In the present investigation, the ecological relationship between climate and symptom prevalence was evaluated in the 48 centers of the European Community Respiratory Health Survey. Meteorological variables were derived from the Global Historical Climatology Network and were averaged over an 11-yr period (i.e., 1980-1990). Respiratory symptom prevalence was directly related to temperature in the coldest month and was related inversely to the temperature in the hottest month. Warm winters and cool summers are features of oceanic climate found in most English-speaking centers of the European Community Respiratory Health Survey (i.e., England, New Zealand, and Oregon). In conclusion, climate can account for significant geographic variability in respiratory symptom prevalence.

Adult↗

Spatial patterns of anthropometric variation in India with reference to geographic, climatic, ethnic and linguistic backgrounds.

BACKGROUND: Anthropometric variation can be fruitfully utilized to investigate microevolutionary processes. Anthropometric variations in the Indian subcontinent based on stature and three indices (Cephalic Index, Nasal Index, and Total Facial Index) are highly variable and discriminative among populations across geographical regions. AIMS: Anthropometric variation in stature, Cephalic Index (CI), Nasal Index (NI) and Total Facial Index (TFI) were investigated with respect to ethnic, linguistic, geographical and climatic affiliation, across the Indian subcontinent. SUBJECTS AND METHODS: Published data on anthropometric variations of 531 populations from the Indian subcontinent were analysed using discriminant analysis and spatial autocorrelation analysis. RESULTS: Discriminant analysis of the four anthropometric variables shows that stature and NI are good discriminators for populations of different languages. Stature, NI and CI discriminate well among populations of diverse ethnic origin and climatic conditions in different regions. TFI is not a good discriminator for populations of diverse ethnic, linguistic and climatic attributes. Spatial autocorrelation analysis showed significant departure from randomness, suggesting geographic structuring. The Moran's I estimate is positive and statistically significant for the four variables at low distances but exhibits significant negative association at higher values. CONCLUSION: The results suggest geographical clines for the four anthropometric variables and indicate the influence of population structure on the studied variables.

Analysis of Variance↗

The potential health impacts of climate change: an overview.

Climate change would have a range of impacts on human health. Health impacts would be caused by the direct effect of climatic factors on human health, such as heat stress, and possible changes in the frequency and intensity of extreme weather events such as storms, floods and droughts. Impacts on health would also be mediated by the indirect effects of climate change, such as changes in availability of food and water and the distribution of vector-borne diseases. The majority of health impacts would be adverse and would depend greatly on the vulnerability of populations.

Acclimatization↗

Conceptual and methodological challenges in predicting the health impacts of climate change.

Describing (not to mention quantifying) the anticipated adverse health impacts of global climate change poses basic challenges to biomedical science. First and foremost, it is beset with uncertainties and complexities; it is necessarily an 'If-Then' exercise, that takes as given climatologists' estimates of the plausible range of greenhouse-induced climate change over the coming century. The health impacts of climate change would generally not occur via the familiar direct-acting mechanisms that characterise local environmentally-induced toxicology or pathophysiology; therefore they would lack the mechanistic directness-of-effect that epidemiological research methods are best equipped to study. Rather, the health impacts would occur on a larger scale, and would result predominantly from perturbations of natural biogeochemical systems that reduce Earth's capacity for life support. Therefore, scientists will need to address the assessment of impacts within an ecological framework, and with an unusually long time horizon. This assessment requires a new capacity for systems-based thinking, predictive modelling, and dealing with uncertainty. Scientists, policy-makers and general public will have to adjust to unfamiliar styles of 'anticipatory' science, with an unusual overlay of uncertainty and provisionality.

Climate↗

The climate change convention and human health.

The United Nations Framework Convention on Climate Change, signed at Rio in June 1992, is intended to minimize climate change and its impact. Much of its text is ambiguous and it is not specifically directed to health considerations. It is, however, recognized that adverse effects of climate change on health are a concern of humankind, and health is an integral part of the Convention. The Convention includes commitments by the developed countries to reduce emissions of greenhouse gases and to increase public awareness of these commitments. The significance of the Convention in these respects is discussed critically and future developments considered.

Climate↗

Selected climatic variables and blood pressure in Central European patients with chronic renal failure on haemodialysis treatment.

UNLABELLED: BACKGROUND/AIMS;Higher blood pressure (BP) in winter has been documented in healthy and hypertensive adults. It may potentially contribute to the observed excess winter cardiovascular mortality in the general population. The aim of the study was to assess whether BP varies similarly among patients with chronic renal failure on haemodialysis treatment, who present an increased risk of cardiovascular death. METHODS: We retrospectively analysed values of pre-dialysis BP and parameters of fluid retention--pre-dialysis body weight and inter-dialytic weight gain measured in 49 patients (23 male, 26 female; aged 46.0+/-13.5 years) from 1995 to 1998. For each patient we calculated deviations of monthly mean values of systolic BP, diastolic BP, pre-dialysis body weight and inter-dialytic weight gain from the lowest monthly means of these parameters in a given year. Monthly means of these deviations for the whole study group (dSBP, dDBP, dBW, dWG, respectively) were subsequently computed. Monthly means of air temperature (T), air relative humidity (H) and atmospheric pressure (AP) were provided by the local Institute of Meteorology. The Wilcoxon paired test was applied to compare mean values of BPs and parameters of fluid retention of every patient in three warmest and three coldest months of each year. Spearman rank correlation analysis was employed to evaluate relationships between dSBP, dDBP and climatic variables, dBW or dWG. RESULTS: Systolic BP was higher in summer than in winter (146.6+/-20.5 vs 143.4+/-18.9 mmHg; p<0.00001). Diastolic BP was also higher in summer than in winter (82.6+/-8.5 vs 79.6+/-7.3 mmHg; p<10(-9)). Pre-dialysis body weight and inter-dialytic weight gain did not differ between summer and winter (66.0+/-13.2 vs 66.0+/-13.2 kg; p=0.98 and 2.27+/-0.6 vs 2.29+/-0.5 kg; p=0.53). There was a positive correlation between dSBP and T (RS=0.424, p<0.003), as well as dDBP and T (RS=0.591, p<0.00001) and an inverse correlation between dSBP and H (RS=-0.372, p<0.01), as well as dDBP and H (RS=-0.408, p<0.004). There were no significant associations between BPs and AP, dBW or dWG. CONCLUSIONS: In haemodialysed patients from southern Poland, BP is higher in summer than in winter. Changes in BP are related to seasonal changes in climatic variables--air temperature and air relative humidity. Seasonal variation in BP is not associated with variation in fluid retention. Possible alteration of cardiovascular reactivity to changes in climatic environment in haemodialysed chronic renal failure patients may be one of the potential explanations of these observations.

Adult↗

Knowledge, attitudes and behaviours related to climate change in Alberta, Canada: implications for public health policy and practice.

Climate change has received recent extensive media attention (e.g., Kyoto Protocol) and is currently on the international public health agenda. The purpose of this study was to survey knowledge, attitudes and behaviours related to climate change in the province of Alberta, Canada. A random sample of 600 Alberta households, using proportional quotas based on the Canada Census of the Alberta population, was surveyed on knowledge, attitudes and behaviours related to climate change using a computer-assisted telephone interviewing protocol. Albertans are highly concerned, particularly about health problems related to the environment and air pollution; yet are only moderately informed about a variety of environmental issues. While the great majority of Albertans appear to be engaged in environmental behaviours at home, fewer consider energy efficiency when purchasing consumer goods. An even smaller percentage makes environmentally conscious transportation decisions. To encourage the population to make recommended environmental behaviours, mass media approaches may do well to target the specific beliefs that were deemed salient (e.g., promote the association between environment issues and health). The public health sector has a major role in working with inter-sectoral groups to address this significant public health issue.

Adolescent↗

The influence of climate on the oxygen isotopes in tree rings.

Natural variations in the oxygen isotope ratio 18O/16O are occurring in the hydrological cycle as a result of isotope fractionations during evaporation and condensation. These processes imprint a valuable climatic signal in the precipitation, which is stored in ice caps as well as in the cellulose of trees. Recent developments in the continuous-flow analysis of 18O/16O of organic matter now enable a systematic application of this method in tree rings. It becomes possible to build maps of the past oxygen isotope distribution in continental areas, yielding important information on regional climate changes. In this paper, the factors influencing the isotope composition of tree rings are discussed with an example from trees in northern Eurasia. Oxygen isotope values of Larix, Picea and Pinus trees were measured over a large climatic gradient extending from Norway to Siberia. The spatial isotope variations were highly correlated to the annual mean temperature (r2 = 0.84), whereby the slope of the corresponding regression line was 0.35%/degrees C. When considering the changes in 18O/16O during the 20th century, not only the temperature, but also changes in the precipitation patterns have to be considered, in particular the observed increase in the amount of winter precipitation.

Asia↗

An epidemic of coccidioidomycosis in Arizona associated with climatic changes, 1998-2001.

BACKGROUND: Reports of coccidioidomycosis cases in Arizona have increased substantially. We investigated factors associated with the increase. METHODS: We analyzed the National Electronic Telecommunications System for Surveillance (NETSS) data from 1998 to 2001 and used Geographic Information Systems (GIS) to map high-incidence areas in Maricopa County. Poisson regression analysis was performed to assess the effect of climatic and environmental factors on the number of monthly cases; a model was developed and tested to predict outbreaks. RESULTS: The overall incidence in 2001 was 43 cases/100,000 population, a significant (P<.01, test for trend) increase from 1998 (33 cases/100,000 population); the highest age-specific rate was in persons > or =65 years old (79 cases/100,000 population in 2001). Analysis of NETSS data by season indicated high-incidence periods during the winter (November-February). GIS analysis showed that the highest-incidence areas were in the periphery of Phoenix. Multivariable Poisson regression modeling revealed that a combination of certain climatic and environmental factors were highly correlated with seasonal outbreaks (R2=0.75). CONCLUSIONS: Coccidioidomycosis in Arizona has increased. Its incidence is driven by seasonal outbreaks associated with environmental and climatic changes. Our study may allow public-health officials to predict seasonal outbreaks in Arizona and to alert the public and physicians early, so that appropriate preventive measures can be implemented.

Adult↗

Combining population-dynamic and ecophysiological models to predict climate-induced insect range shifts.

Hundreds of species are shifting their ranges in response to recent climate warming. To predict how continued climate warming will affect the potential, or “bioclimatic range,” of a skipper butterfly, we present a population‐dynamic model of range shift in which population growth is a function of temperature. We estimate the parameters of this model using previously published data for Atalopedes campestris. Summer and winter temperatures affect population growth rate independently in this species and therefore interact as potential range‐limiting factors. Our model predicts a two‐phase response to climate change; one range‐limiting factor gradually becomes dominant, even if warming occurs steadily along a thermally linear landscape. Whether the range shift accelerates or decelerates and whether the number of generations per year at the range edge increases or decreases depend on whether summer or winter warms faster. To estimate the uncertainty in our predictions of range shift, we use a parametric bootstrap of biological parameter values. Our results show that even modest amounts of data yield predictions with reasonably small confidence intervals, indicating that ecophysiological models can be useful in predicting range changes. Nevertheless, the confidence intervals are sensitive to regional differences in the underlying thermal landscape and the warming scenario.

Animals↗