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The article presents information on some modern conceptions of biology related to human species. It is noted that species' adaptation to different modes of life was assumed by the Darwinian Theory. According to the author, modern school of evolutionists believes that they have not evolved by natural selection but rather arose as mutations. He suggests that one must conclude that man anthropoid apes mainly in adaptational characters, which he believes as inborn or congenital.

Motivated by the idea that there should be a close relationship between biological significance and low power driving of spike neural networks (SNNs), this paper aims to focus on spike-frequency adaptation, which deviates significantly from existing biological meaningfulness, and develop a new spike-frequency adaptation with more biological characteristics. As a result, this paper proposes the s e n s o r y a d a p t a t i o n method that reflects the mechanisms of the human sensory organs, and studies network architectures and neuron models for the proposed method. Next, this paper introduces a dedicated SNN simulator that can selectively apply the conventional spike-frequency adaptation and the proposed method, and provides the results of functional verification and effectiveness evaluation of the proposed method. Through intensive simulation, this paper reveals that the proposed method can produce a level of training and testing performance similar to the conventional method while significantly reducing the number of spikes to 32.66% and 45.63%, respectively. Furthermore, this paper contributes to SNN research by showing an example based on in-depth analysis that embedding biological meaning in SNNs may be closely related to the low-power driving characteristics of SNNs. [ABSTRACT FROM AUTHOR]

Case studies are valuable tools for instruction but are often limited to a single topic and a single class period. Courses such as evolution that synthesize multiple concepts around a common theme, however, can use a single case study type project that extends over the entire semester to develop and link core concepts. A central theme in evolutionary biology is determining if complex biological traits represent adaptations that arose by natural selection. The instructional model presented here engages students in a step-by-step process to answer this question of adaptation for a trait of their choosing. In this process, the instructor first introduces the major concepts required to address adaptation. As each major concept is developed in class, students apply this concept to their particular trait, using information gathered from published studies. Students then report their research back to the class. At the end of the semester, each group synthesizes their evidence into a paper developing an argument as to whether or not their trait fits the criteria of being an adaptation. This project provides students with ownership of course material, gets students to act as practicing scientists, and helps them integrate and apply theoretical material to real questions. [ABSTRACT FROM AUTHOR]

The Global Polio Eradication Initiative (GPEI) was launched in 1988 with the aim of completely clearing wild polio viruses by 2000. More than three decades later, the goal has not been achieved, although spectacular advances have been made, with wild polio virus reported in only 2 countries in 2019. In spite of such progress, novel challenges have been added to the equation, most importantly outbreaks of vaccine-derived polio cases resulting from reversion to neurovirulence of attenuated vaccine virus, and insufficient coverage of vaccination. In the context of the latest discussions on malaria eradication, the GPEI experience provides more than a few lessons to the malaria field when considering a coordinated eradication campaign. The WHO Strategic Advisory Committee on Malaria Eradication (SAGme) stated in 2020 that in the context of more than 200 million malaria cases reported, eradication was far from reach in the near future and, therefore, efforts should remain focused on getting back on track to achieve the objectives set by the Global Technical Strategy against Malaria (2016–2030). Acknowledging the deep differences between both diseases and the stages they are in their path towards eradication, this paper draws from the history of GPEI and highlights relevant insights into what it takes to eradicate a pathogen in fields as varied as priority setting, global governance, strategy, community engagement, surveillance systems, and research. Above all, it shows the critical need for openness to change and adaptation as the biological, social and political contexts vary throughout the time an eradication campaign is ongoing. [ABSTRACT FROM AUTHOR]

The article discusses research by Manolo Gouy and colleagues from the University of Lyon in France regarding the search for different means of tracing the last universal common ancestor (LUCA). Topics include a brief explanation of LUCA, a description of the ribosomal RNA and protein sequence analysis Gouy and colleagues performed, and Gouy and his colleagues' hypothesis regarding LUCA's environmental adaptations.

Human performance, endurance, and resilience have biological limits that are genetically and epigenetically predetermined but perhaps not yet optimized. There are few systematic, rigorous studies on how to raise these limits and reach the true maxima. Achieving this goal might accelerate translation of the theoretical concepts of conditioning, hormesis, and stress adaptation into technological advancements. In 2017, an Air Force-sponsored conference was held at the University of Massachusetts for discipline experts to display data showing that the amplitude and duration of biological performance might be magnified and to discuss whether there might be harmful consequences of exceeding typical maxima. The charge of the workshop was "to examine and discuss and, if possible, recommend approaches to control and exploit endogenous defense mechanisms to enhance the structure and function of biological tissues." The goal of this white paper is to fulfill and extend this workshop charge. First, a few of the established methods to exploit endogenous defense mechanisms are described, based on workshop presentations. Next, the white paper accomplishes the following goals to provide: (1) synthesis and critical analysis of concepts across some of the published work on endogenous defenses, (2) generation of new ideas on augmenting biological performance and resilience, and (3) specific recommendations for researchers to not only examine a wider range of stimulus doses but to also systematically modify the temporal dimension in stimulus inputs (timing, number, frequency, and duration of exposures) and in measurement outputs (interval until assay end point, and lifespan). Thus, a path forward is proposed for researchers hoping to optimize protocols that support human health and longevity, whether in civilians, soldiers, athletes, or the elderly patients. The long-term goal of these specific recommendations is to accelerate the discovery of practical methods to conquer what were once considered intractable constraints on performance maxima. [ABSTRACT FROM AUTHOR]

Gene conversion is a ubiquitous phenomenon that leads to the exchange of genetic information between homologous DNA regions and maintains coevolving multi-gene families in most prokaryotic and eukaryotic organisms. In this paper, we study its implications for the evolution of a single functional gene with a silenced duplicate, using two different models of evolution on rugged fitness landscapes. Our analytical and numerical results show that, by helping to circumvent valleys of low fitness, gene conversion with a passive duplicate gene can cause a significant speedup of adaptation, which depends nontrivially on the frequency of gene conversion and the structure of the landscape. We find that stochastic effects due to finite population sizes further increase the likelihood of exploiting this evolutionary pathway. A universal feature appearing in both deterministic and stochastic analysis of our models is the existence of an optimal gene conversion rate, which maximizes the speed of adaptation. Our results reveal the potential for duplicate genes to act as a "scratch paper" that frees evolution from being limited to strictly beneficial mutations in strongly selective environments. [ABSTRACT FROM AUTHOR]

The diversity of genetic and non-genetic processes that make offspring resemble their parents are increasingly well understood. In addition to genetic inheritance, parent–offspring similarity is affected by epigenetic, behavioural and cultural mechanisms that collectively can be referred to as non-genetic inheritance. Given the generality of the Price equation as a description of evolutionary change, is it not surprising that the Price equation has been adopted to model the evolutionary implications of non-genetic inheritance. In this paper, we briefly introduce the heredity perspectives on which those models rely, discuss the extent to which these perspectives make different assumptions and place different emphases on the roles of heredity and development in evolution, and the types of empirical research programmes they motivate. The existence of multiple perspectives and explanatory aims highlight, on the one hand, the versatility of the Price equation and, on the other hand, the importance of understanding how heredity and development can be conceptualized in evolutionary studies. This article is part of the theme issue 'Fifty years of the Price equation'. [ABSTRACT FROM AUTHOR]

In this paper, a reliability-based optimization approach is applied using a recently proposed CMA-ES with optimal covariance update and storage complexity. Cholesky-CMA-ES gives a significant increase in optimization speed and reduces the runtime complexity of the standard CMA-ES. The reliability index is the shortest distance between the surface of Limit-State Function (LSF) and the origin of the standard normal space. Hence, finding the reliability index can be expressed as a constrained optimization problem. To verify the concept and test the feasibility of this algorithm, several numerical examples consisting of mathematical and highly nonlinear civil engineering problems are investigated. The reliability indexes obtained agree reasonably well with reported values from some existing approximation methods and Monte Carlo simulation. [ABSTRACT FROM AUTHOR]

Research into biological materials often centers on the impressive material properties produced in Nature. In the process, however, this research often neglects the ecologies of the materials, the organismal contexts relating to how a biological material is actually used. In biology, materials are vital to organismal interactions with their environment and their physiology, and also provide records of their phylogenetic relationships and the selective pressures that drive biological novelties. With the papers in this symposium, we provide a view on cutting-edge work in biological materials science. The collected research delivers new perspectives on fundamental materials concepts, offering surprising insights into biological innovations and challenging the boundaries of materials' characterization techniques. The topics, systems, and disciplines covered offer a glimpse into the wide range of contemporary biological materials work. They also demonstrate the need for progressive "whole organism thinking" when characterizing biological materials, and the importance of framing biological materials research in relevant, biological contexts. [ABSTRACT FROM AUTHOR]

The pathogenesis of mycoplasmas requires their attachment to the epithelial mucosa membrane of the host cells, followed by colonisation and necrotic destruction of the submucosal tissue. The extent of this pathogenesis depends on the ability of species of Mycoplasma to effectively attach and invade the host's tissue. In this regard, the cytadherence tip organelle has evolved within the mycoplasmas to accomplish this feat. However, species of Mycoplasma that do not possess the specialized structure remain virulent with the use of surface-membrane lipoproteins. The lipoprotein ligands bind to sulfatides and sialoglycoconjugates on the host's mucosa membranes. This host-mycoplasma interaction, though poorly studied, appears to have a wide underlying array of complex molecular mechanisms, which after activation trigger cytadherence, immunomodulation and virulence. Mycoplasmas with their highly redundant minimal genomes display dynamic genotypic and phenotypic plasticity; a trait that has allowed them to adapt, persist and survive successfully in adverse niches through circumvention and tempering of the host's humoral immune response. Additionally, the linkages between the mycoplasmas persistence and chronic inflammatory diseases in humans necessitate examining the host-mycoplasma interaction at the proteogenomic level. This paper provides an overview on the molecular mechanisms involved in cytadherence, surface-membrane antigenic variation and survival strategies of human urogenital mycoplasmas. [ABSTRACT FROM AUTHOR]

Graphical abstract This work was supported by the Woolf Fisher Trust and the Cambridge Commonwealth, European and International Trust, in the form of a Woolf Fisher Scholarship (2014). Highlights • Few studies explore the processes and possible impacts of adaptation constraints. • A lack of empirical depth means that they are often ignored in policy formulation. • This paper proposes a method for exploring the empirics of adaptation constraints. • Numerical preference functions are estimated for 15 salient constraints. • These constraints could be modelled quantitatively and should no longer be ignored. Abstract The concept of adaptation constraints has become well known in the climate change literature. It describes impediments to the process of adaptation that could in principle be overcome but often are not. Many adaptation constraints have been identified and described in the literature across a wide range of contexts, and the importance of their influence on climate change adaptation is clear. However most studies have focussed on describing constraints rather than exploring their origins, processes, and possible impacts. As a consequence, it has been difficult to operationalise the concept to provide information meaningful to decision makers. This study demonstrates an approach to estimating empirically the processes and the impacts of adaptation constraints, based on a case-study of farmers in New Zealand. It combines established social scientific methods to explore the processes underlying a range of adaptation constraints and estimate the impacts that these constraints may have. The approach can be used to explore further the social and economic impacts of adaptation constraints. This information can then be used to consider sub-optimal adaptation to climate change more fully, and paves the way for policy responses that are more conscious of the human elements of climate change adaptation. [ABSTRACT FROM AUTHOR]

Abstract Categorising is arguably one of the first steps in cognition, because it enables high-level cognitive processing. For a similar reason, categorising is a first step—a preprocessing step—in artificial intelligence, specifically in decision-making, reasoning, and natural language processing. In this paper we categorise the motion of entities. Such categorisations, also known as qualitative representations, represent the preprocessing step for navigation problems with dynamical obstacles. As a central result, we present a general method to generate categorisations of motion based on categorisations of space. We assess its general validity by generating two categorisations of motion from two different spatial categorisations. We show examples of how the categorisations of motion describe and control trajectories. We also establish its soundness in cognitive and mathematical principles. [ABSTRACT FROM AUTHOR]

Abstract Adaptation to water scarcity induced by future climate change will be crucial for the viability of agricultural economies in many areas of the world. In this paper, we study the acquisition of supplemental irrigation water rights as an adaptation strategy undertaken by irrigation-dependent farmers in response to historical climate change. By exploiting the panel structure of a unique dataset of farm-level supplemental right adoption decisions in the state of Oregon, we establish a relationship between climate conditions, competition for local water resources, and the acquisition of supplemental rights. Our results indicate that a warmer, drier climate increases the likelihood that irrigated farms acquire supplemental rights, suggesting that farmers in Oregon have used supplemental rights to adapt to historical climate change. We also find evidence of heterogeneous effects suggesting that junior irrigators, groundwater-dependent irrigators, and farmers with access to a relatively lower volume of water have been most affected by historical climate change with respect to their supplemental water right acquisition decisions. [ABSTRACT FROM AUTHOR]

Abstract MicroRNA (miRNA) are endogenous small noncoding RNA gene products, on average 22 nt long, that play important regulatory roles in mediating gene expression by binding to and targeting mRNAs for degradation or translational repression. In this paper we identify both novel and conserved miRNA sequences present in the genome of the gray mouse lemur, Microcebus marinus. In total, 122 conserved and 44 novel miRNA were identified with high confidence from the lemur genome (Mmur_2.0) and were used for expression analysis. All conserved and novel miRNA were subjected to relative quantification by RT-qPCR in liver samples from control and torpid lemurs. A total of 26 miRNA (16 conserved and 10 novel) showed increased levels during primate torpor, whereas 31 (30 conserved and 1 novel) decreased. Additional in silico mapping of the predicted mRNA targets of torpor-responsive mature miRNA suggested that miRNA that increased during torpor were collectively involved in cell development and survival pathways, while miRNA that decreased were enriched in targeting immune function. Overall, the study suggests new regulatory mechanisms of primate torpor via miRNA action. Highlights • Characterization of torpor-responsive miRNA expression from the Gray mouse lemur • Identification of novel torpor-responsive lemur miRNA • In silico prediction of torpor-responsive miRNA targets and cellular function in coordinating primate torpor [ABSTRACT FROM AUTHOR]

Schultz, M.T. and Smith, E.R., 2016. Assessing the resilience of coastal systems: A probabilistic approach. Resilience is the ability to anticipate, prepare for, and adapt to changing conditions and withstand, respond to, and recover rapidly from disruptions. Methods and tools to quantify resilience are needed to provide actionable intelligence to plan, design, construct, and manage coastal systems. This paper describes how a probabilistic measure of resilience can be assessed for a coastal community using a Bayesian network. The measure of resilience is the joint probability of meeting two management objectives, one with respect to the level of system performance and the other with respect to the length of time required to restore system performance. This paper describes a pilot study to demonstrate the approach in Jamaica Bay, New York, a dense, urban, residential community located on the southern coast of Long Island. Results of the pilot study illustrate how practical information can be developed to support decisions about managing coastal systems. The pilot study provides insights into data and information requirements; the advantages, challenges, and limitations of the approach; and the feasibility of implementing this approach for operations. This approach to resilience assessment is well suited for coastal planning contexts because it explicitly incorporates information about uncertainty in the severity of coastal storm events, as well as uncertainty in how the system will perform when exposed to storm loads. The method challenges the community to establish explicit objectives for coastal resilience, identifies what data are needed to monitor progress toward objectives, and provides a platform from which to explore how those objectives might be achieved in practice. [ABSTRACT FROM AUTHOR]

Adaptation is a crucial biological function possessed by many sensory systems. Early work has shown that some influential equilibrium models can achieve accurate adaptation. However, recent studies indicate that there are close relationships between adaptation and nonequilibrium. In this paper, we provide an explanation of these two seemingly contradictory results based on Markov models with relatively simple networks. We show that as the nonequilibrium driving becomes stronger, the system under consideration will undergo a phase transition along a fixed direction: from non-adaptation to simple adaptation then to oscillatory adaptation, while the transition in the opposite direction is forbidden. This indicates that although adaptation may be observed in equilibrium systems, it tends to occur in systems far away from equilibrium. In addition, we find that nonequilibrium will improve the performance of adaptation by enhancing the adaptation efficiency. All these results provide a deeper insight into the connection between adaptation and nonequilibrium. Finally, we use a more complicated network model of bacterial chemotaxis to validate the main results of this paper. [ABSTRACT FROM AUTHOR]

This paper suggests (i) that while work on animal innovation has made good progress in understanding some of the proximate mechanisms and selective regimes through which innovation emerges, it has somewhat neglected the role of the social environment of innovation; a neglect manifest in the fact that innovation counts are almost always counts of resource-acquisition innovations; the invention of social tools is rarely considered. The same is true of many experimental projects, as these typically impose food acquisition tasks on their experimental subjects. (ii) That neglect is important, because innovations often pose collective action problems; the hominin species were technically innovative because they were also socially adaptable. (iii) In part for this reason, there remains a disconnect between research on hominin innovation and research on animal innovation. (iv) Finally, the paper suggests that there is something of a disconnect between the theoretical work on innovation in hominin evolution (based on theories of cultural evolution) and the experimental tradition on human innovation. That disconnect is largely due to the theoretical work retreating from strong claims about the proximate mechanisms of human cultural accumulation. [ABSTRACT FROM AUTHOR]

This paper provides an analysis of adaptation to extreme climate changes using the Australian animal husbandry data. The paper finds that farmers have adapted to a hot and arid climate regime through animal husbandry. The number of sheep vastly increases into arid ecosystems while the number of beef cattle does not decline in high temperatures. In the future climate system in which Australia becomes hotter and more arid, we predict that farmers will increase by large percentages the numbers of beef cattle and/or sheep owned in order to adapt to a highly unfavorable climate condition, especially into the arid ecosystems. This paper shows how humanity has adapted to climate extremes taking into account changing ecosystems. [ABSTRACT FROM AUTHOR]

Abstract: Persistence of natural populations during periods of climate change is likely to depend on migration (range shifts) or adaptation. These responses were traditionally considered discrete processes and conceptually divided into the realms of ecology and evolution. In a milestone paper, Davis and Shaw (2001) Science 292:673 argued that the interplay of adaptation and migration was central to biotic responses to Quaternary climate, but since then there has been no synthesis of efforts made to set up this research program. Here we review some of the salient findings from molecular genetic studies assessing ecological and evolutionary responses to Quaternary climate change. These studies have revolutionized our understanding of population processes associated with past species migration. However, knowledge remains limited about the role of natural selection for local adaptation of populations to Quaternary environmental fluctuations and associated range shifts, and for the footprints this might have left on extant populations. Next‐generation sequencing technologies, high‐resolution paleoclimate analyses, and advances in population genetic theory offer an unprecedented opportunity to test hypotheses about adaptation through time. Recent population genomics studies have greatly improved our understanding of the role of contemporary adaptation to local environments in shaping spatial patterns of genetic diversity across modern‐day landscapes. Advances in this burgeoning field provide important conceptual and methodological bases to decipher the historical role of natural selection and assess adaptation to past environmental variation. We suggest that a process called “temporal conditional neutrality” has taken place: some alleles favored in glacial environments become selectively neutral in modern‐day conditions, whereas some alleles that had been neutral during glacial periods become under selection in modern environments. Building on this view, we present a new integrative framework for addressing the interplay of demographic and adaptive evolutionary responses to Quaternary climate dynamics, the research agenda initially envisioned by Davis and Shaw (2001) Science 292:673. [ABSTRACT FROM AUTHOR]

In the context of climate adaptation planning there are relationships between adaptation drivers and adaptation measures, which makes the selection and implementation of the adaptation measures a challenging task. This challenge may be addressed by: structuring the adaptation problem using a multiple perspective adaptation framework; and applying a context specific precedence grammar logic for selecting and evaluating adaptation measures. Precedence grammar logic is a set of rule based algorithms (grammar) that are based on the relationships in a local adaptation context. This paper demonstrates the application of a context specific precedence grammar logic in an adaptation context in Can Tho, Vietnam. Adaptation pathways comprising flood adaptation measures (i.e. dike heightening) for this case were generated using rule based algorithms based on the relationships between the drivers and the adaptation measures. The results show that complex adaptation issues that are structured, can be resolved using a context specific adaptation grammar approach. [ABSTRACT FROM AUTHOR]

Climate change is estimated to substantially reduce crop yields in Sub-Saharan West Africa by 2050. Yet, a limited number of studies also suggest that several adaptation measures may mitigate the effects of climate change induced yield loss. In this paper, we used AquaCrop, a process-based model developed by the FAO (The Food and Agriculture Organization, Rome, Italy), to quantify the risk of climate change on several key cereal crops in the Niger Basin. The crops analyzed include maize, millet, and sorghum under rain fed cultivation systems in various agro-ecological zones within the Niger Basin. We also investigated several adaptation strategies, including changes in the sowing dates, soil nutrient status, and cultivar. Future climate change is estimated using nine ensemble bias-corrected climate model projection results under RCP4.5 and RCP8.5 (RCP--Representative Concentration Pathway) emissions scenario at mid future time period, 2021/25-2050. The results show that on average, temperature had a larger effect on crop yields so that the increase in precipitation could still be a net loss of crop yield. Our simulated results showed that climate change effects on maize and sorghum yield would be mostly positive (2% to 6% increase) in the Southern Guinea savanna zone while at the Northern Guinea savanna zone it is mostly negative (2% to 20% decrease). The results show that at the Sahelian zone the projected changes in temperature and precipitation have little to no impact on millet yield for the future time period, 2021/25-2050. In all agro-ecological zones, increasing soil fertility from poor fertility to moderate, near optimal and optimal level significantly reversed the negative yield change respectively by over 20%, 70% and 180% for moderate fertility, near optimal fertility, and optimal fertility. Thus, management or adaptation factors, such as soil fertility, had a much larger effect on crop yield than the climatic change factors. These results provide actionable guidance on effective climate change adaptation strategies for rain fed agriculture in the region. [ABSTRACT FROM AUTHOR]

Local adaptation arises as a result of selection by the local environment favoring phenotypes that enhance fitness. Geographic patterns of phenotypic variation are in part due to this selective process. Classically, the genetic basis of those phenotypes has been studied in plant populations using a quantitative genetic approach in which plants from different source populations are grown in common environments, in reciprocal transplant experiments, or in studies across a wide geographic and environmentally heterogeneous area. Limitations of these approaches to understanding the genetic basis of phenotypic variation can now be addressed with next generation sequencing, gene expression profiles, and epigenetic analysis. In this paper, I summarize contemporary genomic research on local adaptation by comparing findings from the Arabidopsis annual plant model system with long-lived tree species in four kinds of local adaptation studies: 1) genomic studies of transplant experiments; 2) landscape genomic studies; 3) gene expression studies; 4) epigenetic studies of local adaptation. Although the basic study designs of common garden, reciprocal transplants, and geographic variation have remained constant, the inclusion of contemporary genomic approaches has provided substantive advances in our understanding of the genetic underpinnings of local adaptation, including the impact of climate, the identification of candidate genes involved in genotype-by-environment interactions, and evidence for the potential role of epigenetic modification. Despite these advances, new questions are arising and key areas for future research include more exploration of gene networks in response to biotic and abiotic stressors and improved statistical tools for traits with polygenic inheritance. [ABSTRACT FROM AUTHOR]

The cooling effect of greenspaces is an important ecosystem service, essential for mitigating the urban heat island (UHI) effect and thus increasing urban resilience to climate change. Techniques based on landscape planning to alleviate the increasing frequency of extreme climate are becoming more of a focus in urban ecology studies. In this paper, we proposed and defined the urban cooling island (UCI) extent, intensity, and efficiency, as well as the threshold value of efficiency (TVoE) introduced from the “law of diminishing marginal utility” for the first time. The radiative transfer equation has been compared with other algorithms and used to retrieve accurate land surface temperature (LST) in a subtropical city of China − Fuzhou. Two important and arguable factor − size and shape of greenspaces also been expressed and explored. The results indicate that: (1) larger-sized greenspaces produce a higher cooling effect. However, there exist a TVoE, which is in line with our hypothesis. The TVoE in Fuzhou is 4.55 ha. (2) The circles and squares greenspaces have a significant correlation with LST and also show the highest UCI intensity and efficiency. (3) 92% of the maximum extent of greenspaces are within the 30–180 m limit, and the mean UCI extent and intensity are 104 m and 1.78 °C. (4) The greenspaces connected with waterbodies intensified the UCI effects, whereas the grassland-based greenspace shows the weakest UCI effects. The methodology and results of this study could help urban planners to mitigate the UHI effects efficiently, and to employ the climate adaptive planning. [ABSTRACT FROM AUTHOR]

Over the past twelve years the number of papers that explore the impacts of climate change on biodiversity in the conservation literature has grown on average by 20% annually. By categorising these papers on their primary research questions, we show that the vast majority of these articles (88.6%) focus only on those impacts that arise directly as a result of climate change, ignoring the potentially significant indirect threats that arise from human adaptation responses. This pattern has remained fairly consistent throughout the review period (2000-2012), with a trend towards more articles considering both direct and indirect impacts towards the end of the period. We also find a bias in the time-frames considered by published articles that project future impacts of climate change on biodiversity, with more than three-quarters (77.9%) of papers only considering impacts after 2031, and almost half (49.1%) only considering impacts after 2051. This focus on long-term, direct impacts creates a mismatch, not only with the life-cycles of species and timescales of many ecological processes, but also with most management and policy timelines and the short-term nature of human decision making processes. The focus on studying the long-term, direct impacts of climate change on biodiversity is likely a function of the lack of availability of climate projections on shorter temporal scales; a perception that short-term impacts will be minor; and, insufficient integration with the social and political sciences. While the direct impact of changes in mean climatic conditions will significantly change the biosphere by the end of the century, near term changes in seasonality and extreme events coupled with human adaptation responses are likely to have substantial impacts much sooner, threatening the survival of species and ecosystems. It is therefore essential that we balance our research efforts to facilitate a better understanding of these more imminent threats. [ABSTRACT FROM AUTHOR]

Evolutionary theory is the foundation of the biological sciences, yet conveying it to General Biology students often presents a challenge, especially at larger institutions where student numbers in foundation courses can exceed several hundred per lecture section. We present a pedagogically sound exercise that utilizes a series of simple and inexpensive simulations to convey the concept of evolution through mutation and natural selection. Questions after each simulation expand student comprehension; a class discussion encourages advanced thinking on mutation and speciation. A final paper requires students to synthesize their learning by summarizing selected papers on these topics. A grading rubric for the papers is included. [ABSTRACT FROM AUTHOR]

Abstract: This paper focuses on community engagement, and particularly the inclusion of women, in water management as a response to climate change. Addressing water-related problems is central to climate change adaptation, and civil society, marginalized populations and women, in particular, must be involved. This is for both moral and pragmatic reasons: not only are the marginalized the first and worst affected by extreme weather events, but they also possess local ecological, social and political knowledge which can inform and contribute significantly to climate change adaptation strategies. Because of their social roles and position worldwide, women are greatly affected by water scarcity and flooding, and tend to be gravely impacted by poor water management, yet they face great difficulties in participating effectively in governance bodies. Sustainable long-term management of water resources in the face of climate change requires the participation of women, who possess knowledge of effective social technologies for coping with and adapting to climate change. Community-based environmental education is therefore required in order to expand the equitable involvement of women in water-related climate change adaptation activities and policy development. Environmental non-governmental organizations worldwide, working on shoestring budgets at the local level, are developing a range of methods to organize, raise consciousness and confidence, and help local activists create successful climate defense programs. This paper discusses South–North initiatives and models for community-based environmental and climate change education which are using the democratic opening provided by watershed-based governance structures to broaden grassroots participation, especially of women, in political processes. We outline the activities and results of two international projects: the Sister Watersheds project, with Brazilian and Canadian partners (2002–2008); and a Climate Change Adaptation in Africa project with partners in Canada, Kenya, Mozambique, and South Africa (2010–2012). [Copyright &y& Elsevier]

World experts of different disciplines, from molecular biology to macroecology, recognize the value of cave ecosystems as ideal ecological and evolutionary laboratories. Among other subterranean taxa, spiders stand out as intriguing model organisms for their ecological role of top predators, their unique adaptations to the hypogean medium and their sensitivity to anthropogenic disturbance.As the description of the first eyeless spider (Stalita taenaria), an array of papers on subterranean spider biology, ecology and evolution has been published, but a comprehensive review on these topics is still lacking. We provide a general overview of the spider families recorded in hypogean habitats worldwide,we reviewthe different adaptations of hypogean spiders to subterranean life, andwe summarize the information gathered so far about their origin, population structure, ecology and conservation status. Finally, we point out the limits of the knowledgewe currently have regarding hypogean spiders, aiming to stimulate future research. [ABSTRACT FROM AUTHOR]

While the climate of Western Europe has been deeply affected by the abrupt climate change that took place in the late '1980s of the twentieth century, a similar signal is detected only few years later, in 1994, in Georgia. Grapevine phenology is deeply influenced by climate and this paper aimed to analyze how phenological timing changed before and after the climatic change of 1994. Availability of thermal resources in the two climatic phases for the five altitudinal belts in the 0-1250-m range was analyzed. A phenological dataset gathered in two experimental sites during the period 2012-2014, and a suitable thermal dataset was used to calibrate a phenological model based on the normal approach and able to describe BBCH phenological stages 61 (beginning of flowering), 71 (fruit set), and 81 (veraison). Calibration was performed for four relevant Georgian varieties (Mtsvane Kakhuri, Rkatsiteli, Ojaleshi, and Saperavi). The model validation was performed on an independent 3-year dataset gathered in Gorizia (Italy). Furthermore, in the case of variety Rkatsiteli, the model was applied to the 1974-2013 thermal time series in order to obtain phenological maps of the Georgian territory. Results show that after the climate change of 1994, Rkatsiteli showed an advance, more relevant at higher altitudes where the whole increase of thermal resource was effectively translated in phenological advance. For instance the average advance of veraison was 5.9 days for 250-500 m asl belt and 18.1 days for 750-1000 m asl). On the other hand, at lower altitudes, phenological advance was depleted by superoptimal temperatures. As a final result, some suggestions for the adaptation of viticultural practices to the current climatic phase are provided. [ABSTRACT FROM AUTHOR]

Adaptation of agents through learning or evolution is an important component of the resilience of Complex Adaptive Systems (CAS). Without adaptation, the flexibility of such systems to cope with outside pressures would be much lower. To study the capabilities of CAS to adapt, social simulations with agent-based models (ABMs) provide a helpful tool. However, the value of ABMs for studying adaptation depends on the availability of methodologies for sensitivity analysis that can quantify resilience and adaptation in ABMs. In this paper we propose a sensitivity analysis methodology that is based on comparing time-dependent probability density functions of output of ABMs with and without agent adaptation. The differences between the probability density functions are quantified by the so-called earth-mover’s distance. We use this sensitivity analysis methodology to quantify the probability of occurrence of critical transitions and other long-term effects of agent adaptation. To test the potential of this new approach, it is used to analyse the resilience of an ABM of adaptive agents competing for a common-pool resource. Adaptation is shown to contribute positively to the resilience of this ABM. If adaptation proceeds sufficiently fast, it may delay or avert the collapse of this system. [ABSTRACT FROM AUTHOR]

Effective stakeholder involvement is crucial for the management of protected areas, especially when new challenges like adaptation to climate change need to be addressed. Under these circumstances, science-based stakeholder involvement is required. However, there is often a gap between the information produced by science and the need for information from stakeholders. Along with the design and implementation of adaptive management strategies and policies, efforts must be taken to adjust messages about conservation and adaptation issues, to make them easier to understand, relevant and acceptable for stakeholders. In this paper, the experience of closing the gap between scientific information and the user needs of stakeholders in the Biebrza Valley is documented. The requirements of efficient stakeholder dialogue and the raising of awareness are then indicated. We conclude that many attempts to raise awareness of environmental conservation require improvements. Messages often need to be adjusted for different stakeholders and their various perception levels to efficiently anticipate the potential impacts of the changing climate on ecosystem management. We also revealed that the autonomous adaptation measures implemented by stakeholders to mitigate impacts of climatic change often contradict adaptive management planned and implemented by environmental authorities. We conclude that there is a demand for boundary spanners that can build a bridge between complex scientific outputs and stakeholder needs. [ABSTRACT FROM AUTHOR]

The Canadian Arctic is uniquely sensitive to climate change impacts, including rapidly warming temperatures, sea ice change, and permafrost degradation. Adaptation-including efforts to manage climate change risks, reduce damages, and take advantage of new opportunities-has been identified as a priority for policy action across government levels. However, our understanding of adaptation in the Canadian North is limited: Is adaptation taking place, to what stresses, and what does it look like? In this paper we answer these questions for the Inuit territory of Nunavut, systematically cataloguing and reviewing government-led adaptation programs and policies at community, territorial, and federal levels, drawing on publically available information. We documented a total of 700 discrete adaptation initiatives. The focus on adaptation to-date has primarily been at the groundwork level, aimed at informing and preparing for adaptation through impact assessments, adaptation planning exercises, and stakeholder engagement. Adaptation in Nunavut has been driven by cross-scale coordination and leadership from the territorial and federal government. Our study finds few examples of concrete actions for planned adaptation, such as changes to or creation of policies that enable adaptation, alterations to building codes and infrastructure design with changing geo-hazards, or enhanced disaster planning and emergency preparedness in light of projected impacts. This study indicates a need for formal adaptation plans for the Governments of Canada and Nunavut, emphasis on adaptation monitoring and evaluation, and a greater role of Inuit traditional knowledge and cultural values in adaptation policy. [ABSTRACT FROM AUTHOR]

Autochthonous Pramenka (Zackel) sheep has been recognized as an important element of regional agro-biodiversity, relevant to the tradition that encompasses the cultural heritage of Serbia. The recognition that locally adapted animal breeds gained genetic resistance and adaptability through evolution; modern sustainable farming practices are far more attuned to the need for preserving and utilizing Zackel sheep types. The risk factors leading to rapid and severe decline in Vlashko-Vitoroga Zackel sheep population have been described in the paper. The objective of the study was to obtain the data necessary for development of conservation and sustainable use strategies of Vlashko-Vitoroga Zackel sheep. Determination of the conservation value upon characteristics of the breed was performed, in aim to identify priorities in accordance with the criteria of Food and Agriculture Organization of the United Nations (FAO). The positive and negative characteristics of the Vlashko-Vitoroga Zackel sheep, opportunities for utilization, as well as ambiental challenges that affect the breed were analyzed in the paper. The importance of this breed for maintenance of cultural tradition, landscape preservation and longterm rural development by in-situ conservation through utilization is also discussed in the paper. [ABSTRACT FROM AUTHOR]

Ecological models that model species’ adaptation to changing environments may become increasingly important tools for ecologists and environmental scientists faced with the challenges of our changing world. Individual-based models (IBMs) facilitate the modeling of individual diversity and adaptive behaviors. When organisms are modeled with structures that provide inheritable parametric diversity, intergenerational adaptation may also be simulated. These adaptive IBMs may be difficult to calibrate so as to be consistent with field data patterns. The pattern-oriented modeling (POM) calibration approach, whereby model outputs are compared to field data patterns at the end of each simulation, may be limited and computationally expensive under many circumstances. This research further explores an approach, denoted pattern-guided evolution (PGE), that uses field data patterns obtained from published research, to guide the evolution of model organisms within each model simulation. Our preliminary research showed that when demonstrated with an adaptive IBM of an old-field ecosystem, the approach yielded populations of virtual organisms with inheritable parametric diversity, which if well calibrated could potentially be used in future models for simulating adaptive change. However, the model produced in the preliminary studies only partially matched field data patterns, and thus did not confirm the utility of the PGE approach for model calibration. This paper presents three main contributions. Firstly, the paper describes several important improvements to the original approach, which resulted in a model that matched the expected patterns well. Secondly, additional testing was performed to analyze the reusability of the model entities yielded by the approach. Combined, these two contributions confirm the utility of the PGE method for calibrating IBMs for simulating adaptive change. Finally, we estimate that the PGE approach is likely to be ten or more times less computationally costly than that of the conventional POM approach to IBM calibration. [Copyright &y& Elsevier]

Motivation: Imaging genetics combines brain imaging and genetic information to identify the relationships between genetic variants and brain activities. When the data samples belong to different classes (e.g. disease status), the relationships may exhibit class-specific patterns that can be used to facilitate the understanding of a disease. Conventional approaches often perform separate analysis on each class and report the differences, but ignore important shared patterns. Results: In this paper, we develop a multivariate method to analyze the differential dependency across multiple classes. We propose a joint sparse canonical correlation analysis method, which uses a generalized fused lasso penalty to jointly estimate multiple pairs of canonical vectors with both shared and class-specific patterns. Using a data fusion approach, the method is able to detect differentially correlated modules effectively and efficiently. The results from simulation studies demonstrate its higher accuracy in discovering both common and differential canonical correlations compared to conventional sparse CCA. Using a schizophrenia dataset with 92 cases and 116 controls including a single nucleotide polymorphism (SNP) array and functional magnetic resonance imaging data, the proposed method reveals a set of distinct SNP-voxel interaction modules for the schizophrenia patients, which are verified to be both statistically and biologically significant. Availability and Implementation: The Matlab code is available at https://sites.google.com/site/jian fang86/JSCCA. [ABSTRACT FROM AUTHOR]

Climate change presents perhaps the greatest economic and environmental challenge we have ever faced. Climate change and its associated impacts, adaptation and vulnerability have become the focus of current policy, business and research. This paper provides invaluable information for those interested in climate change and its impacts. This paper comprehensively reviews the advances made in the development of regional climate change scenarios and their application in agricultural impact, adaptation and vulnerability assessment. Construction of regional climate change scenarios evolved from the application of arbitrary scenarios to the application of scenarios based on general circulation models (GCMs). GCM-based climate change scenarios progressed from equilibrium climate change scenarios to transient climate change scenarios; from the use of direct GCM outputs to the use of downscaled GCM outputs; from the use of single scenarios to the use of probabilistic climate change scenarios; and from the application of mean climate change scenarios to the application of integrated climate change scenarios considering changes in both mean climate and climate variability. [ABSTRACT FROM AUTHOR]

In the midst of a global fisheries crisis, there has been great interest in the fostering of adaptation and resilience in fisheries, as a means to reduce vulnerability and improve the capacity of fishing society to adapt to change. However, enhanced resilience does not automatically result in improved well-being of people, and adaptation strategies are riddled with difficult choices, or trade-offs, that people must negotiate. This paper uses the context of fisheries to explore some apparent tensions between adapting to change on the one hand, and the pursuit of well-being on the other, and illustrates that trade-offs can operate at different levels of scale. It argues that policies that seek to support fisheries resilience need to be built on a better understanding of the wide range of consequences that adaptation has on fisher well-being, the agency people exert in negotiating their adaptation strategies, and how this feeds back into the resilience of fisheries as a social-ecological system. The paper draws from theories on agency and adaptive preferences to illustrate how agency might be better incorporated into the resilience debate. [ABSTRACT FROM AUTHOR]

Vietnam's coastal zone provides a diverse range of natural resources and favourable conditions for social and economic development. However, its coastal ecosystems are highly vulnerable, due to several natural coastal hazards, over-exploitation and other human activities. In spite of diverse interventions, Vietnam's coastal zone continues to experience significant damage from floods, erosion and typhoons. These hazards are being intensified by climate change and associated rising sea levels. This paper assesses the potential vulnerability of Vietnam's coast to climate change and discusses possible adaptation policies and plan to reduce the impacts. GIS analysis was used for the assessment of coastal vulnerability. Related literature was reviewed to develop detailed understanding of coastal adaptation to climate change. Adaptation policies and plans were appraised to identify potential coastal adaptation policies and plans that could be adapted by Vietnam. It was identified that vulnerability of the coastal zone of Vietnam could not be attributed only to climatic factors, but also to the physical condition of the coastline. Much of Vietnam's coastline, particularly, areas around the Red River delta and the Mekong River have elevations below 1 m. These coastlines are largely developed and serve as economic centres of the country, which makes the coast more vulnerable to climate change and the rising sea level. The paper concluded that a non-structural approach (coastal buffer zones, building houses on stilts, storm warning systems, growing of flood-resistant crops and elevated storm shelters with medicine and food storage) could be used by Vietnam to adapt her low-lying coastline around the two deltas to climate change as this strategy enables vulnerable areas to be occupied for longer before eventual retreat. However, for these policies to be successful, it should be planned, implemented well in advance, monitored and evaluated over time. [ABSTRACT FROM AUTHOR]

In recent years, policy makers and scientists have become interested in the dynamic links between migration and environmental change (Döös in Global Environ Change 7(1):41-61, ; Adger et al. in Living with Environmental Change: Social vulnerability, adaptation and resilience in Vietnam, ; Gunderson and Holling in Panarchy-understanding transformations in systems of humans and nature, Island Press, Washington, DC, Gunderson and Holling ; Scoones et al. in Dynamic systems and the challenge of sustainability, ; Galaz et al. in Ecosystems under pressure. A policy brief for the International Commission on Climate Change and Development, ). Recently, scoping activities have emerged to produce empirical observations about the role of environmental change in decisions about human mobility, including a range of movements from voluntary to forced migration and displacement. One notable recent attempt to contribute to the base of knowledge about the links between environmental change and migration has been the European Commission co-sponsored the Environmental Change and Forced Scenarios (EACH-FOR) project. The EACH-FOR project was created to assess the impact of environmental change on migration at the local, national, regional and international level. This paper shares the methods and fieldwork experiences of a first-time, multicontinent survey of environmental change and migration from the research project supported by the European Commission: Environmental Change and Forced Migration Scenarios (EACH-FOR, Contract Number 044468, ). This paper has three purposes. First, the authors explore issues related to how EACH-FOR designed its methodological approach for the first global survey of environmental change and migration. The paper then describes how the project attempted to create a method that would produce comparable results in a challenging context of multiple scientific challenges and trade-offs for research design. The second purpose of this paper is to examine how field researchers implemented and used this methodology in the EACH-FOR project. This paper takes a closer look at the fieldwork approach applied in investigating the 23 EACH-FOR project case studies. These case studies presented diverse local conditions and social contexts and different types of environmental changes. The paper discusses some of the practical considerations and shortcomings of the method in practice and illustrates how local researchers from selected case studies managed the challenges of their complex assignment. The third purpose of this paper is to explore lessons learned from the initial fieldwork experience and fruitful directions for future research. [ABSTRACT FROM AUTHOR]

The papers in this volume discuss projections of climate change impacts upon humans and ecosystems under a global mean temperature rise of 4°C above preindustrial levels. Like most studies, they are mainly single-sector or single-region-based assessments. Even the multi-sector or multi-region approaches generally consider impacts in sectors and regions independently, ignoring interactions. Extreme weather and adaptation processes are often poorly represented and losses of ecosystem services induced by climate change or human adaptation are generally omitted. This paper addresses this gap by reviewing some potential interactions in a 4°C world, and also makes a comparison with a 2°C world. In a 4°C world, major shifts in agricultural land use and increased drought are projected, and an increased human population might increasingly be concentrated in areas remaining wet enough for economic prosperity. Ecosystem services that enable prosperity would be declining, with carbon cycle feedbacks and fire causing forest losses. There is an urgent need for integrated assessments considering the synergy of impacts and limits to adaptation in multiple sectors and regions in a 4°C world. By contrast, a 2°C world is projected to experience about one-half of the climate change impacts, with concomitantly smaller challenges for adaptation. Ecosystem services, including the carbon sink provided by the Earth’s forests, would be expected to be largely preserved, with much less potential for interaction processes to increase challenges to adaptation. However, demands for land and water for biofuel cropping could reduce the availability of these resources for agricultural and natural systems. Hence, a whole system approach to mitigation and adaptation, considering interactions, potential human and species migration, allocation of land and water resources and ecosystem services, will be important in either a 2°C or a 4°C world. [ABSTRACT FROM AUTHOR]

The implications of environmental change for migration are little understood. Migration as a response to climate change could be seen as a failure of in situ adaptation methods, or migration could be alternatively perceived as a rational component of creative adaptation to environmental risk. This paper frames migration as part of an adaptation response to climate change impacts to natural resource condition and environmental hazards. Thresholds will be reached by communities after which migration will become a vital component of an effective adaptation response. Such changes to migration patterns have the potential to undermine migration policy unless appropriate preparations are undertaken. This paper describes an approach to assist researchers to frame how climate change will influence migration by critically analysing how thresholds of fundamental change to migration patterns could be identified, primarily in relation to two case studies in Nepal and Thailand. Future policy for internal and international migration could be guided by the analysis of such thresholds of non-linear migration and resourced effectively to ensure that socio-economic and humanitarian outcomes are maximised. [ABSTRACT FROM AUTHOR]

In 1749, Linnaeus presided over the dissertation “ Oeconomia Naturae,” which argued that each creature plays an important and particular role in nature’s economy. This phrase should be familiar to readers of Darwin, for he claims in the Origin that “all organic beings are striving, it may be said, to seize on each place in the economy of nature.” Many scholars have discussed the influence of political economy on Darwin’s ideas. In this paper, I take a different tack, showing that Darwin’s idea of an economy of nature stemmed from the views of earlier naturalists like Linnaeus and Lyell. I argue, in the first section of the paper, that Linnaeus’ idea of oeconomia naturae is derived from the idea of the animal economy, and that his idea of politia naturae is an extension of the idea of a politia civitatis. In the second part, I explore the use of the concept of stations in the work of De Candolle and Lyell – the precursor to Darwin’s concept of places. I show in the third part of the paper that the idea of places in an economy of nature is employed by Darwin at many key points in his thinking: his discussion of the Galapagos birds, his reading of Malthus, etc. Finally, in the last section, I demonstrate that the idea of a place in nature’s economy is essential to Darwin’s account of divergence. To tell his famous story of divergence and adaptation, Darwin needed the economy of nature. [ABSTRACT FROM AUTHOR]

Climate change awareness has become very important to develop adaptation strategies for climate change impacts. Climate change impacts varied in type and intensity for different countries, but the lack of awareness is making developing countries more vulnerable to the alarming impacts of climate change. The purpose of this study was to explore the level of awareness to make adaptation strategy for climate change impacts in Lahore, Pakistan. Relevant literature on climate change awareness revealed that climate change awareness in Pakistan was very low. The findings of this paper were based on a detailed survey conducted with the general public of Lahore. This research paper was attempted to find out the existing level of climate change awareness for making better adaptation strategy in Lahore. [ABSTRACT FROM AUTHOR]

Twenty years ago, Albert Bennett published a paper in the influential book New directions in ecological physiology arguing that individual variation was an ‘underutilized resource’. In this paper, I review our state of knowledge of the magnitude, mechanisms and functional significance of phenotypic variation, plasticity and flexibility in endocrine systems, and argue for a renewed focus on inter-individual variability. This will provide challenges to conventional wisdom in endocrinology itself, e.g. re-evaluation of relatively simple, but unresolved questions such as structure–function relationships among hormones, binding globulins and receptors, and the functional significance of absolute versus relative hormone titres. However, there are also abundant opportunities for endocrinologists to contribute solid mechanistic understanding to key questions in evolutionary biology, e.g. how endocrine regulation is involved in evolution of complex suites of traits, or how hormone pleiotropy regulates trade-offs among life-history traits. This will require endocrinologists to embrace the raw material of adaptation (heritable, individual variation and phenotypic plasticity) and to take advantage of conceptual approaches widely used in evolutionary biology (selection studies, reaction norms, concepts of evolutionary design) as well as a more explicit focus on the endocrine basis of life-history traits that are of primary interest to evolutionary biologists (cf. behavioural endocrinology). [ABSTRACT FROM AUTHOR]

Adaptation is defined as the planned or unplanned, reactive or anticipatory, successful or unsuccessful response of a system to a change in its environment. This paper examines the current status of adaptation to sea-level rise and climate change in the context of European coasts. Adaptation can greatly reduce the impact of sea-level rise (and other coastal changes), although it requires adjustment of coastal management policies to changing circumstances. Consequently, adaptation is a social, political, and economic process, rather than just a technical exercise, as it is often conceived. The Synthesis and Upscaling of sea-level Rise Vulnerability Assessment Studies project has shown that adaptation to sea-level rise is widely divergent among European countries. Crudely, four groups of countries were identified: 1. Those that do not worry about accelerated sea-level rise and should not as their coasts are not susceptible 2. Those that do not worry as they have more urgent problems 3. Those that do not worry but probably should 4. Those that do worry and have started to adapt At the European Union level, while coastal management is a focus, this effort is mainly targeted at today's problems. Hence, this paper suggests the need for a concerted effort to address adaptation in coastal zones across Europe. Sharing of experience among countries would facilitate this process. [ABSTRACT FROM AUTHOR]

This paper examines the role of African Initiated Churches (AICs) in the lives of African migrant laborers in Israel. Its aim is to attain a deeper understanding of religion and church affiliation among African migrant laborers in Israel from the perspective of the Africans themselves. It traces the creation and development of the AICs in Israel, including the various services and activities that the churches provided for their members in the social, economic and political arenas. It argues that the African churches in Israel occupied a particularly large and central place in their members' lives compared to migrant churches in other western diasporas, taking on roles of other traditional social, economic, political and civil actors in Africa. The paper examines the AICs' multiple adaptations to unique conditions in Israel and to the needs of their membership. Though many of the patterns identified are similar to those found in other diaspora communities, certain features of Israel and its society, mainly those connected to the Jewish identity of the State of Israel and the limited civic horizon open to non-Jews, made for substantial differences. These features forced Africans to create their own Afro-Christian space to fulfill their needs and became the key anchors in the spiritual, emotional and practical lives of the African migrants in Israel. Finally this article argues that the churches became the main space for the production of a sense of belonging within the Israeli civic context, in spite of the fact that the migrants' religious identities and institutions were not used as vehicles for recognition or channels for gaining legitimacy in Israel's public sphere. [ABSTRACT FROM AUTHOR]

Although some studies of seed dispersal mutualisms have documented adaptive relationships between fruits and frugivores, others have shown that adaptive patterns are constrained by phylogenetic, historical or climatic effects. Variable results among studies have thwarted attempts to find a paradigm to unite the field and direct research. Two recent studies in Global Ecology and Biogeography exemplify this dichotomy. One paper reported adaptive relationships between abundances of birds and fruits, while the other study found that bird-fruit abundance patterns were constrained by climatic effects. Almost paradoxically, both studies were conducted at the same locale. However, they focused on different spatio-temporal scales. These results are surprisingly consistent with several other recent studies that have taken a macroecological approach. They also indicate that mutualistic relationships between fruits and frugivores are scale dependent. When viewed together, recent work suggests that the conflicting results of previous studies may result from spatio-temporal variability of mutualistic relationships. This paper briefly reviews the emerging field of seed dispersal macroecology. A growing appreciation for scale appears to be leading the field in a new direction. [ABSTRACT FROM AUTHOR]

The governance of climate adaptation involves the collective efforts of multiple societal actors to address problems, or to reap the benefits, associated with impacts of climate change. Governing involves the creation of institutions, rules and organizations, and the selection of normative principles to guide problem solution and institution building. We argue that actors involved in governing climate change adaptation, as climate change governance regimes evolve, inevitably must engage in making choices, for instance on problem definitions, jurisdictional levels, on modes of governance and policy instruments, and on the timing of interventions. Yet little is known about how and why these choices are made in practice, and how such choices affect the outcomes of our efforts to govern adaptation. In this introduction we review the current state of evidence and the specific contribution of the articles published in this Special Feature, which are aimed at bringing greater clarity in these matters, and thereby informing both governance theory and practice. Collectively, the contributing papers suggest that the way issues are defined has important consequences for the support for governance interventions, and their effectiveness. The articles suggest that currently the emphasis in adaptation governance is on the local and regional levels, while underscoring the benefits of interventions and governance at higher jurisdictional levels in terms of visioning and scaling-up effective approaches. The articles suggest that there is a central role of government agencies in leading governance interventions to address spillover effects, to provide public goods, and to promote the long-term perspectives for planning. They highlight the issue of justice in the governance of adaptation showing how governance measures have wide distributional consequences, including the potential to amplify existing inequalities, access to resources, or generating new injustices through distribution of risks. For several of these findings, future research directions are suggested. [ABSTRACT FROM AUTHOR]

This paper presents results from a study of Czech Local Action Groups (LAGs), focusing on gaining knowledge about their internally perceived legitimacy and their potential role in local adaptation to climate change. Former studies on the role of governance networks in climate change adaptation have suggested that these networks' legitimacy are crucial for their success. In this article we provide an analytical framework that can be used to address different aspects of local governance networks which are important for their legitimacy and the way they are apt as instruments for climate change adaptation actions. We also present a survey among LAG members that provide empirical data that we discuss in the article. The framework and the data are discussed with reference to existing contributions in the intersection of legitimacy, governance networks and climate change adaptation. A specific aim is to provide research based recommendations for further improving LAGs as an adaptation instrument. In addition, knowledge is generated that will be interesting for further studies of similar local governance initiatives in the climate change adaptation context. [ABSTRACT FROM AUTHOR]

Expanding from remote areas of Mexico to a worldwide scale, the ten-striped insect, the Colorado potato beetle (CPB, Leptinotarsa decemlineata Say), has risen from being an innocuous beetle to a prominent global pest. A diverse life cycle, phenotypic plasticity, adaptation to adverse conditions, and capability to detoxify or tolerate toxins make this insect appear to be virtually "indestructible". With increasing advances in molecular biology, tools of biotechnological warfare were deployed to combat CPB. In the last three decades, genetically modified potato has created a new challenge for the beetle. After reviewing hundreds of scientific papers dealing with CPB control, it became clear that even biotechnological means of control, if used alone, would not defeat the Colorado potato beetle. This control measure once again appears to be provoking the potato beetle to exhibit its remarkable adaptability. Nonetheless, the potential for adaptation to these techniques has increased our knowledge of this pest and thus opened possibilities for devising more sustainable CPB management programs. [ABSTRACT FROM AUTHOR]