Showing papers by "Helmholtz Centre for Environmental Research - UFZ published in 2015"
TL;DR: The discovery and cultivation of a completely nitrifying bacterium from the genus Nitrospira, a globally distributed group of nitrite oxidizers, and the genome of this chemolithoautotrophic organism encodes the pathways both for ammonia and nitrite oxidation.
Abstract: Nitrification, the oxidation of ammonia via nitrite to nitrate, has always been considered to be a two-step process catalysed by chemolithoautotrophic microorganisms oxidizing either ammonia or nitrite. No known nitrifier carries out both steps, although complete nitrification should be energetically advantageous. This functional separation has puzzled microbiologists for a century. Here we report on the discovery and cultivation of a completely nitrifying bacterium from the genus Nitrospira, a globally distributed group of nitrite oxidizers. The genome of this chemolithoautotrophic organism encodes the pathways both for ammonia and nitrite oxidation, which are concomitantly activated during growth by ammonia oxidation to nitrate. Genes affiliated with the phylogenetically distinct ammonia monooxygenase and hydroxylamine dehydrogenase genes of Nitrospira are present in many environments and were retrieved on Nitrospira-contigs in new metagenomes from engineered systems. These findings fundamentally change our picture of nitrification and point to completely nitrifying Nitrospira as key components of nitrogen-cycling microbial communities.
1,648 citations
National University of Cordoba1, Addis Ababa University2, National Autonomous University of Mexico3, State University of Campinas4, United Nations Environment Programme5, UNESCO6, United States Department of Agriculture7, Indiana University8, University of British Columbia9, Commonwealth Scientific and Industrial Research Organisation10, University of Paris-Sud11, Landcare Research12, University College London13, Autonomous University of Madrid14, University of Cambridge15, Council for Scientific and Industrial Research16, University of Southern Denmark17, United Nations University18, Virginia Tech College of Natural Resources and Environment19, The Nature Conservancy20, University of the South Pacific21, University of East Anglia22, Kyushu University23, King Abdulaziz City for Science and Technology24, University of Washington25, Budapest University of Technology and Economics26, Environmental Law Institute27, Ankara University28, University of Portsmouth29, Chinese Academy of Sciences30, Indian Institute of Technology Bombay31, Kyoto University32, Joseph Fourier University33, National Scientific and Technical Research Council34, University of Yaoundé35, Polish Academy of Sciences36, University of São Paulo37, École Normale Supérieure38, University of Otago39, Stanford University40, University of Queensland41, Azim Premji University42, Helmholtz Centre for Environmental Research - UFZ43, University of Ghana44, Corvinus University of Budapest45, Stockholm University46, Lakehead University47, Indian Institute of Forest Management48, Seoul National University49, Sofia University50
TL;DR: The first public product of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES) is its Conceptual Framework as discussed by the authors, which will underpin all IPBES functions and provide structure and comparability to the syntheses that will produce at different spatial scales, on different themes, and in different regions.
1,585 citations
Université catholique de Louvain1, Utrecht University2, Institut national de la recherche agronomique3, Centre national de la recherche scientifique4, Université du Québec à Montréal5, Royal Society for the Protection of Birds6, University of Cambridge7, University of Padua8, University of Sussex9, Natural Resources Canada10, Purdue University11, Helmholtz Centre for Environmental Research - UFZ12, Smithsonian Institution13, University of Neuchâtel14, University of Saskatchewan15, Washington State University16, University of Bergen17, University of Stirling18
TL;DR: In this paper, a review of the global literature explores these risks and show a growing body of evidence that persistent, low concentrations of these insecticides pose serious risks of undesirable environmental impacts.
Abstract: Since their discovery in the late 1980s, neonicotinoid pesticides have become the most widely used class of insecticides worldwide, with large-scale applications ranging from plant protection (crops, vegetables, fruits), veterinary products, and biocides to invertebrate pest control in fish farming. In this review, we address the phenyl-pyrazole fipronil together with neonicotinoids because of similarities in their toxicity, physicochemical profiles, and presence in the environment. Neonicotinoids and fipronil currently account for approximately one third of the world insecticide market; the annual world production of the archetype neonicotinoid, imidacloprid, was estimated to be ca. 20,000 tonnes active substance in 2010. There were several reasons for the initial success of neonicotinoids and fipronil: (1) there was no known pesticide resistance in target pests, mainly because of their recent development, (2) their physicochemical properties included many advantages over previous generations of insecticides (i.e., organophosphates, carbamates, pyrethroids, etc.), and (3) they shared an assumed reduced operator and consumer risk. Due to their systemic nature, they are taken up by the roots or leaves and translocated to all parts of the plant, which, in turn, makes them effectively toxic to herbivorous insects. The toxicity persists for a variable period of time—depending on the plant, its growth stage, and the amount of pesticide applied. A wide variety of applications are available, including the most common prophylactic non-Good Agricultural Practices (GAP) application by seed coating. As a result of their extensive use and physicochemical properties, these substances can be found in all environmental compartments including soil, water, and air. Neonicotinoids and fipronil operate by disrupting neural transmission in the central nervous system of invertebrates. Neonicotinoids mimic the action of neurotransmitters, while fipronil inhibits neuronal receptors. In doing so, they continuously stimulate neurons leading ultimately to death of target invertebrates. Like virtually all insecticides, they can also have lethal and sublethal impacts on non-target organisms, including insect predators and vertebrates. Furthermore, a range of synergistic effects with other stressors have been documented. Here, we review extensively their metabolic pathways, showing how they form both compound-specific and common metabolites which can themselves be toxic. These may result in prolonged toxicity. Considering their wide commercial expansion, mode of action, the systemic properties in plants, persistence and environmental fate, coupled with limited information about the toxicity profiles of these compounds and their metabolites, neonicotinoids and fipronil may entail significant risks to the environment. A global evaluation of the potential collateral effects of their use is therefore timely. The present paper and subsequent chapters in this review of the global literature explore these risks and show a growing body of evidence that persistent, low concentrations of these insecticides pose serious risks of undesirable environmental impacts.
1,131 citations
TL;DR: There is strong evidence that soils, waterways, and plants in agricultural environments and neighboring areas are contaminated with variable levels of neonicotinoids or fipronil mixtures and their metabolites, and this provides multiple routes for chronic exposure of nontarget animals.
Abstract: Systemic insecticides are applied to plants using a wide variety of methods, ranging from foliar sprays to seed treatments and soil drenches. Neonicotinoids and fipronil are among the most widely used pesticides in the world. Their popularity is largely due to their high toxicity to invertebrates, the ease and flexibility with which they can be applied, their long persistence, and their systemic nature, which ensures that they spread to all parts of the target crop. However, these properties also increase the probability of environmental contamination and exposure of nontarget organisms. Environmental contamination occurs via a number of routes including dust generated during drilling of dressed seeds, contamination and accumulation in arable soils and soil water, runoff into waterways, and uptake of pesticides by nontarget plants via their roots or dust deposition on leaves. Persistence in soils, waterways, and nontarget plants is variable but can be prolonged; for example, the half-lives of neonicotinoids in soils can exceed 1,000 days, so they can accumulate when used repeatedly. Similarly, they can persist in woody plants for periods exceeding 1 year. Breakdown results in toxic metabolites, though concentrations of these in the environment are rarely measured. Overall, there is strong evidence that soils, waterways, and plants in agricultural environments and neighboring areas are contaminated with variable levels of neonicotinoids or fipronil mixtures and their metabolites (soil, parts per billion (ppb)-parts per million (ppm) range; water, parts per trillion (ppt)-ppb range; and plants, ppb-ppm range). This provides multiple routes for chronic (and acute in some cases) exposure of nontarget animals. For example, pollinators are exposed through direct contact with dust during drilling; consumption of pollen, nectar, or guttation drops from seed-treated crops, water, and consumption of contaminated pollen and nectar from wild flowers and trees growing near-treated crops. Studies of food stores in honeybee colonies from across the globe demonstrate that colonies are routinely and chronically exposed to neonicotinoids, fipronil, and their metabolites (generally in the 1–100 ppb range), mixed with other pesticides some of which are known to act synergistically with neonicotinoids. Other nontarget organisms, particularly those inhabiting soils, aquatic habitats, or herbivorous insects feeding on noncrop plants in farmland, will also inevitably receive exposure, although data are generally lacking for these groups. We summarize the current state of knowledge regarding the environmental fate of these compounds by outlining what is known about the chemical properties of these compounds, and placing these properties in the context of modern agricultural practices.
902 citations
TL;DR: It appears that environmentally relevant concentrations of neonicotinoids in surface waters worldwide are well within the range where both short- and long-term impacts on aquatic invertebrate species are possible over broad spatial scales.
873 citations
Institut national de la recherche agronomique1, University of Lorraine2, United States Department of Energy3, Hungarian Academy of Sciences4, Clark University5, Helmholtz Centre for Environmental Research - UFZ6, Lund University7, University of Hasselt8, Universidade Federal de Viçosa9, University of Lyon10, University of Turin11, Aix-Marseille University12, King Abdulaziz University13, University of Oslo14, Swedish University of Agricultural Sciences15, Max Planck Society16, University of Bremen17, Harvard University18, Swiss Federal Institute for Forest, Snow and Landscape Research19, Pierre-and-Marie-Curie University20, University of Cologne21
TL;DR: Convergent evolution of the mycorrhizal habit in fungi occurred via the repeated evolution of a 'symbiosis toolkit', with reduced numbers of PCWDEs and lineage-specific suites of myCorrhiza-induced genes.
Abstract: To elucidate the genetic bases of mycorrhizal lifestyle evolution, we sequenced new fungal genomes, including 13 ectomycorrhizal (ECM), orchid (ORM) and ericoid (ERM) species, and five saprotrophs, which we analyzed along with other fungal genomes. Ectomycorrhizal fungi have a reduced complement of genes encoding plant cell wall-degrading enzymes (PCWDEs), as compared to their ancestral wood decayers. Nevertheless, they have retained a unique array of PCWDEs, thus suggesting that they possess diverse abilities to decompose lignocellulose. Similar functional categories of nonorthologous genes are induced in symbiosis. Of induced genes, 7-38% are orphan genes, including genes that encode secreted effector-like proteins. Convergent evolution of the mycorrhizal habit in fungi occurred via the repeated evolution of a 'symbiosis toolkit', with reduced numbers of PCWDEs and lineage-specific suites of mycorrhiza-induced genes.
799 citations
Utrecht University1, Institut national de la recherche agronomique2, French Institute of Health and Medical Research3, University of Sussex4, Natural Resources Canada5, Purdue University6, Helmholtz Centre for Environmental Research - UFZ7, Smithsonian Institution8, University of Saskatchewan9, Université catholique de Louvain10, Washington State University11, University of Bergen12
TL;DR: Enough knowledge exists to conclude that existing levels of pollution with neonicotinoids and fipronil resulting from presently authorized uses frequently exceed the lowest observed adverse effect concentrations and are thus likely to have large-scale and wide ranging negative biological and ecological impacts on a wide range of non-target invertebrates in terrestrial, aquatic, marine and benthic habitats.
Abstract: We assessed the state of knowledge regarding the effects of large-scale pollution with neonicotinoid insecticides and fipronil on non-target invertebrate species of terrestrial, freshwater and marine environments. A large section of the assessment is dedicated to the state of knowledge on sublethal effects on honeybees (Apis mellifera) because this important pollinator is the most studied non-target invertebrate species. Lepidoptera (butterflies and moths), Lumbricidae (earthworms), Apoidae sensu lato (bumblebees, solitary bees) and the section “other invertebrates” review available studies on the other terrestrial species. The sections on freshwater and marine species are rather short as little is known so far about the impact of neonicotinoid insecticides and fipronil on the diverse invertebrate fauna of these widely exposed habitats. For terrestrial and aquatic invertebrate species, the known effects of neonicotinoid pesticides and fipronil are described ranging from organismal toxicology and behavioural effects to population-level effects. For earthworms, freshwater and marine species, the relation of findings to regulatory risk assessment is described. Neonicotinoid insecticides exhibit very high toxicity to a wide range of invertebrates, particularly insects, and field-realistic exposure is likely to result in both lethal and a broad range of important sublethal impacts. There is a major knowledge gap regarding impacts on the grand majority of invertebrates, many of which perform essential roles enabling healthy ecosystem functioning. The data on the few non-target species on which field tests have been performed are limited by major flaws in the outdated test protocols. Despite large knowledge gaps and uncertainties, enough knowledge exists to conclude that existing levels of pollution with neonicotinoids and fipronil resulting from presently authorized uses frequently exceed the lowest observed adverse effect concentrations and are thus likely to have large-scale and wide ranging negative biological and ecological impacts on a wide range of non-target invertebrates in terrestrial, aquatic, marine and benthic habitats.
649 citations
TL;DR: A general description of the mathematical and numerical formulations used in modern numerical reactive transport codes relevant for subsurface environmental simulations is presented, along with a selective list of applications that highlight their capabilities and historical development.
Abstract: A general description of the mathematical and numerical formulations used in modern numerical reactive transport codes relevant for subsurface environmental simulations is presented. The formulations are followed by short descriptions of commonly used and available subsurface simulators that consider continuum representations of flow, transport, and reactions in porous media. These formulations are applicable to most of the subsurface environmental benchmark problems included in this special issue. The list of codes described briefly here includes PHREEQC, HPx, PHT3D, OpenGeoSys (OGS), HYTEC, ORCHESTRA, TOUGHREACT, eSTOMP, HYDROGEOCHEM, CrunchFlow, MIN3P, and PFLOTRAN. The descriptions include a high-level list of capabilities for each of the codes, along with a selective list of applications that highlight their capabilities and historical development.
600 citations
University of Ottawa1, University of Calgary2, York University3, University of Reading4, University of Mons5, Helmholtz Centre for Environmental Research - UFZ6, Wildlife Preservation Canada7, University of Vermont8, University of Connecticut9, American Museum of Natural History10, University of Alaska Fairbanks11, United States Department of Agriculture12
TL;DR: Using long-term observations across Europe and North America over 110 years, testing for climate change–related range shifts in bumblebee species across the full extents of their latitudinal and thermal limits and movements along elevation gradients found cross-continentally consistent trends in failures to track warming through time at species’ northern range limits.
Abstract: For many species, geographical ranges are expanding toward the poles in response to climate change, while remaining stable along range edges nearest the equator. Using long-term observations across Europe and North America over 110 years, we tested for climate change–related range shifts in bumblebee species across the full extents of their latitudinal and thermal limits and movements along elevation gradients. We found cross-continentally consistent trends in failures to track warming through time at species’ northern range limits, range losses from southern range limits, and shifts to higher elevations among southern species. These effects are independent of changing land uses or pesticide applications and underscore the need to test for climate impacts at both leading and trailing latitudinal and thermal limits for species.
559 citations
McGill University1, State University of Campinas2, Rhodes University3, University of Paris-Sud4, National Autonomous University of Mexico5, Chiang Mai University6, Université catholique de Louvain7, Stanford University8, Council for Scientific and Industrial Research9, National University of Cordoba10, Stockholm Resilience Centre11, University of Aveiro12, Martin Luther University of Halle-Wittenberg13, Helmholtz Centre for Environmental Research - UFZ14, University of Southampton15, Pennsylvania State University16, University of Göttingen17, Arizona State University18, VU University Amsterdam19, National Scientific and Technical Research Council20, University of York21
TL;DR: The ecoSERVICES project as discussed by the authors is a platform to foster global coordination of multidisciplinary sustainability science through the lens of ecosystem services, focusing on three key questions that will improve incorporation of ecosystem service research into decision-making for the sustainable use of natural resources to improve human well-being.
550 citations
TL;DR: In this paper, a review examines 219 publications to provide an overview of the current state of research on the relationship between humans and urban green spaces, group the different research approaches by identifying the main research areas, methods, and target groups, and highlight important future prospects in urban green space research.
Swiss Federal Institute of Aquatic Science and Technology1, Helmholtz Centre for Environmental Research - UFZ2, Umeå University3, Technische Universität München4, National and Kapodistrian University of Athens5, University of Tübingen6, Ministry of Infrastructure and the Environment7, Norwegian Institute for Water Research8, University of Antwerp9, Suez Environnement10, University of Padua11, Norwegian Institute for Air Research12, ETH Zurich13
TL;DR: A dataset from a collaborative non-target screening trial organised by the NORMAN Association is used to review the state-of-the-art and discuss future perspectives of non- target screening using high-resolution mass spectrometry in water analysis.
Abstract: In this article, a dataset from a collaborative non-target screening trial organised by the NORMAN Association is used to review the state-of-the-art and discuss future perspectives of non-target screening using high-resolution mass spectrometry in water analysis. A total of 18 institutes from 12 European countries analysed an extract of the same water sample collected from the River Danube with either one or both of liquid and gas chromatography coupled with mass spectrometry detection. This article focuses mainly on the use of high resolution screening techniques with target, suspect, and non-target workflows to identify substances in environmental samples. Specific examples are given to emphasise major challenges including isobaric and co-eluting substances, dependence on target and suspect lists, formula assignment, the use of retention information, and the confidence of identification. Approaches and methods applicable to unit resolution data are also discussed. Although most substances were identified using high resolution data with target and suspect-screening approaches, some participants proposed tentative non-target identifications. This comprehensive dataset revealed that non-target analytical techniques are already substantially harmonised between the participants, but the data processing remains time-consuming. Although the objective of a “fully-automated identification workflow” remains elusive in the short term, important steps in this direction have been taken, exemplified by the growing popularity of suspect screening approaches. Major recommendations to improve non-target screening include better integration and connection of desired features into software packages, the exchange of target and suspect lists, and the contribution of more spectra from standard substances into (openly accessible) databases.
TL;DR: In this article, a systematic review of empirical studies that test for motivation crowding effects triggered by economic incentives to encourage nature conservation is presented, concluding that, as economic instruments for conservation are increasingly being used worldwide, it is crucial to assess existing intrinsic motivations and expected changes in people's motivational structures prior to large-scale implementation.
TL;DR: In this article, the authors introduce a classification of technologies based on interfacing microbiology and electrochemistry and argue that BESs comprise all systems based on bioelectrochemistry, with a further layer of termini through the use of METs.
Abstract: Microbial electrochemistry is the study and application of interactions between living microbial cells and electrodes (i.e. electron conductors, capacitive materials). For a long time this subfield of bioelectrochemistry has been the interest of mainly fundamental researchers. This has considerably changed during the last decade and microbial electrochemistry gained interest from applied researchers and engineers. These researchers took the microbial fuel cell (MFC), which is a system that converts the chemical energy of organic material in wastewater into electric power, from a concept to a technology. In addition, a plethora of derivative technologies, such as microbial electrolysis cells (MECs), microbial desalination cells (MDCs), photomicrobial fuel cells (photoMFCs), microbial electrosynthesis (MES), and biocomputing have been developed. The growing number of systems is often referred to in literature under the termini bioelectrochemical system (BES), microbial electrochemical technology (MET), or electrobiotechnology. Within this article we introduce a classification of technologies based on interfacing microbiology and electrochemistry. We argue that BESs comprise all systems based on bioelectrochemistry, with a further layer of termini through the use of METs. Primary METs are based on extracellular electron transfer (direct or mediated), whereas secondary METs include systems in which electrochemistry is connected – at least through ionic contact – with a microbial process via the electrochemical control or adaptation of environmental parameters, such as pH or metabolite concentration level.
TL;DR: A comprehensive overview of the current knowledge on microbiological degradation of several of the most common plastic types is provided to illustrate the analytical challenges concerning the evaluation of plastic biodegradation as well as constraints likely standing against the evolution of effective biodegrading pathways.
Abstract: Synthetic polymers, commonly named plastics, are among the most widespread anthropogenic pollutants of marine, limnic and terrestrial ecosystems. Disruptive effects of plastics are known to threaten wildlife and exert effects on natural food webs, but signs for and knowledge on plastic biodegradation are limited. Microorganisms are the most promising candidates for an eventual bioremediation of environmental plastics. Laboratory studies have reported various effects of microorganisms on many types of polymers, usually by enzymatic hydrolysis or oxidation. However, most common plastics have proved to be highly recalcitrant even under conditions known to favour microbial degradation. Knowledge on environmental degradation is yet scarcer. With this review, we provide a comprehensive overview of the current knowledge on microbiological degradation of several of the most common plastic types. Furthermore, we illustrate the analytical challenges concerning the evaluation of plastic biodegradation as well as constraints likely standing against the evolution of effective biodegradation pathways.
TL;DR: In this article, the authors argue that the social sciences should refrain from adjusting to standardized research agendas and templates, and that a more urgent analytical challenge lies in exposing, challenging and extending the ontological assumptions that inform how we make sense of and respond to a rapidly changing environment.
Abstract: This paper asks how the social sciences can engage with the idea of the Anthropocene in productive ways. In response to this question we outline an interpretative research agenda that allows critical engagement with the Anthropocene as a socially and culturally bounded object with many possible meanings and political trajectories. In order to facilitate the kind of political mobilization required to meet the complex environmental challenges of our times, we argue that the social sciences should refrain from adjusting to standardized research agendas and templates. A more urgent analytical challenge lies in exposing, challenging and extending the ontological assumptions that inform how we make sense of and respond to a rapidly changing environment. By cultivating environmental research that opens up multiple interpretations of the Anthropocene, the social sciences can help to extend the realm of the possible for environmental politics.
TL;DR: In this paper, the authors explore how ecosystem disservices have been recognized in the scientific literature and how the concept has been used in the discussion of socio-ecological systems, and they use a quantitative approach to assess geographical spread, focus and indicator choice.
Lüneburg University1, Stockholm Environment Institute2, McGill University3, National Autonomous University of Mexico4, Stellenbosch University5, Stockholm University6, University of Wisconsin-Madison7, Royal Swedish Academy of Sciences8, James Cook University9, Helmholtz Centre for Environmental Research - UFZ10, VU University Amsterdam11, University of Bayreuth12
TL;DR: The concept of social-ecological systems is useful for understanding the interlinked dynamics of environmental and societal change as discussed by the authors, which has helped facilitate increased recognition of the dependence of humanity on ecosystems; improved collaboration across disciplines, and between science and society; increased methodological pluralism leading to improved systems understanding; and major policy frameworks considering socialecological interactions.
Stockholm University1, Rijkswaterstaat2, IRSA3, Environmental Protection Agency4, University of Gothenburg5, Swiss Federal Institute of Aquatic Science and Technology6, Marine Scotland7, Suffolk University8, United Kingdom Department for Environment, Food and Rural Affairs9, RWTH Aachen University10, Helmholtz Centre for Environmental Research - UFZ11
TL;DR: In this article, the authors present a technical report on aquatic effect-based monitoring tools (e.g. biomarkers and bioassays) that could be used in the context of different monitoring programmes linking chemical and ecological status assessment.
Abstract: The Water Framework Directive (WFD), 2000/60/EC, requires an integrated approach to the monitoring and assessment of the quality of surface water bodies. The chemical status assessment is based on compliance with legally binding Environmental Quality Standards (EQSs) for selected chemical pollutants (priority substances) of EU-wide concern. In the context of the mandate for the period 2010 to 2012 of the subgroup Chemical Monitoring and Emerging Pollutants (CMEP) under the Common Implementation Strategy (CIS) for the WFD, a specific task was established for the elaboration of a technical report on aquatic effect-based monitoring tools. The activity was chaired by Sweden and co-chaired by Italy and progressively involved several Member States and stakeholders in an EU-wide drafting group. The main aim of this technical report was to identify potential effect-based tools (e.g. biomarkers and bioassays) that could be used in the context of the different monitoring programmes (surveillance, operational and investigative) linking chemical and ecological status assessment. The present paper summarizes the major technical contents and findings of the report.
TL;DR: In this paper, the authors used country-level panel data (1961-2011) to allocate the land areas used to produce food for human consumption, waste and biofuels, and attribute the food production area changes to diet, population and yields drivers.
Abstract: The nexus of population growth and changing diets has increased the demands placed on agriculture to supply food for human consumption, animal feed and fuel. Rising incomes lead to dietary changes, from staple crops, towards commodities with greater land requirements, e.g. meat and dairy products. Despite yield improvements partially offsetting increases in demand, agricultural land has still been expanding, causing potential harm to ecosystems, e.g. through deforestation. We use country-level panel data (1961-2011) to allocate the land areas used to produce food for human consumption, waste and biofuels, and to attribute the food production area changes to diet, population and yields drivers. The results show that the production of animal products dominates agricultural land use and land use change over the 50-year period, accounting for 65% of land use change. The rate of extensification of animal production was found to have reduced more recently, principally due to the smaller effect of population growth. The area used for bioenergy was shown to be relatively small, but formed a substantial contribution (36%) to net agricultural expansion in the most recent period. Nevertheless, in comparison to dietary shifts in animal products, bioenergy accounted for less than a tenth of the increase in demand for agricultural land. Population expansion has been the largest driver for agricultural land use change, but dietary changes are a significant and growing driver. China was a notable exception, where dietary transitions dominate food consumption changes, due to rapidly rising incomes. This suggests that future dietary changes will become the principal driver for land use change, pointing to the potential need for demand-side measures to regulate agricultural expansion. (C) 2015 Elsevier Ltd. All rights reserved. (Less)
TL;DR: The PMM and GM are compared regarding their prospects and limitations and suggestions are made regarding the potential use and implementation of both approaches for process–pattern analysis.
Utrecht University1, Princeton University2, Colorado School of Mines3, University of California, Irvine4, California Institute of Technology5, Goethe University Frankfurt6, University of Kassel7, National Center for Atmospheric Research8, George Mason University9, Delft University of Technology10, Forschungszentrum Jülich11, Helmholtz Centre for Environmental Research - UFZ12, University of Waterloo13
TL;DR: In this paper, the authors reflect the discussions that were held among the authors during and after the Workshop ‘Hyper-resolution global hydrological modelling: the next======¯¯¯¯¯¯step’ held on 13-14 February 2014 in Utrecht, the======Netherlands.
Abstract: The contents of this paper reflect the discussions that were
held among the authors during and after the Workshop
‘Hyper-resolution global hydrological modelling: the next
step’ held on 13–14 February 2014 in Utrecht, the
Netherlands.
TL;DR: Analysis of the spatial patterns of fairy circles obtained from representative 25-ha aerial images of north-west Namibia supports the hypothesis that fairy circles are self-organized vegetation patterns that emerge from positive biomass-water feedbacks involving water transport by extended root systems and soil-water diffusion.
Abstract: The mysterious ‘fairy circles’ are vegetation-free discs that cover vast areas along the pro-Namib Desert. Despite 30 yr of research their origin remains unknown. Here we adopt a novel approach that focuses on analysis of the spatial patterns of fairy circles obtained from representative 25-ha aerial images of north-west Namibia. We use spatial point pattern analysis to quantify different features of their spatial structures and then critically inspect existing hypotheses with respect to their ability to generate the observed circle patterns. Our working hypothesis is that fairy circles are a self-organized vegetation pattern. Finally, we test if an existing partial-differential-equation model, that was designed to describe vegetation pattern formation, is able to reproduce the characteristic features of the observed fairy circle patterns. The model is based on key-processes in arid areas such as plant competition for water and local resource-biomass feedbacks.
The fairy circles showed at all three study areas the same regular spatial distribution patterns, characterized by Voronoi cells with mostly six corners, negative correlations in their size up to a distance of 13 m, and remarkable homogeneity over large spatial scales. These results cast doubts on abiotic gas-leakage along geological lines or social insects as causal agents of their origin. However, our mathematical model was able to generate spatial patterns that agreed quantitatively in all of these features with the observed patterns. This supports the hypothesis that fairy circles are self-organized vegetation patterns that emerge from positive biomass-water feedbacks involving water transport by extended root systems and soil-water diffusion. Future research should search for mechanisms that explain how the different hypotheses can generate the patterns observed here and test the ability of self-organization to match the birth- and death dynamics of fairy circles and their regional patterns in the density and size with respect to environmental gradients.
TL;DR: In this article, the authors demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling.
Abstract: Two prominent limitations of species distribution models (SDMs) are spatial biases in existing occurrence data and a lack of spatially explicit predictor variables to fully capture habitat characteristics of species. Can existing and emerging remote sensing technologies meet these challenges and improve future SDMs? We believe so. Novel products derived from multispectral and hyperspectral sensors, as well as future Light Detection and Ranging (LiDAR) and RADAR missions, may play a key role in improving model performance. In this perspective piece, we demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling. We hope this interdisciplinary perspective will motivate ecologists, remote sensing experts and modelers to work together for developing a more refined SDM framework in the near future.
Helmholtz Centre for Environmental Research - UFZ1, University of Liverpool2, University of Gothenburg3, Spanish National Research Council4, RWTH Aachen University5, University of Birmingham6, State University of Campinas7, Wageningen University and Research Centre8, Masaryk University9, Swiss Federal Institute of Aquatic Science and Technology10, Brunel University London11, Leibniz Association12, University of Bern13, University of Novi Sad14, Norwegian Institute for Water Research15, Nanjing University16
TL;DR: The vision of the international, EU-funded project SOLUTIONS is described, where three routes are explored to link the occurrence of chemical mixtures at specific sites to the assessment of adverse biological combination effects, and comprehensive arrays of effect-based tools and trait-based field observations are explored.
TL;DR: In this article, the authors assess how the ecosystem service framework is organized and implemented in the current urban green planning structure of the city of Berlin, based on an analysis of strategic planning documents and expert interviews with local stakeholders.
TL;DR: In this paper, the authors proposed a methodological approach to assess regulating ES mismatches on the basis of environmental quality standards and policy goals, which can be used as a common minimum threshold to determine whether the difference between ES supply and demand is problematic for human well-being.
University of Bergen1, Utrecht University2, Université du Québec à Montréal3, The Lodge4, University of Cambridge5, University of Padua6, University of Sussex7, Natural Resources Canada8, Purdue University9, Helmholtz Centre for Environmental Research - UFZ10, Smithsonian Institution11, University of Neuchâtel12, University of Saskatchewan13, Washington State University14, Université catholique de Louvain15, University of Stirling16
TL;DR: The present scale of use of fipronil and neonicotinoid has resulted in widespread contamination of agricultural soils, freshwater resources, wetlands, non-target vegetation and estuarine and coastal marine systems, which means that many organisms inhabiting these habitats are being repeatedly and chronically exposed to these compounds.
Abstract: The side effects of the current global use of pesticides on wildlife, particularly at higher levels of biological organization: populations, communities and ecosystems, are poorly understood (Kohler and Triebskorn 2013). Here, we focus on one of the problematic groups of agrochemicals, the systemic insecticides fipronil and those of the neonicotinoid family. The increasing global reliance on the partly prophylactic use of these persistent and potent neurotoxic systemic insecticides has raised concerns about their impacts on biodiversity, ecosystem functioning and ecosystem services provided by a wide range of affected species and environments. The present scale of use, combined with the properties of these compounds, has resulted in widespread contamination of agricultural soils, freshwater resources, wetlands, non-target vegetation and estuarine and coastal marine systems, which means that many organisms inhabiting these habitats are being repeatedly and chronically expose...
TL;DR: In this article, the authors investigated long-term time series of stream water quality and quantity of nine neighboring catchments in Central Germany ranging from relatively pristine mountain catchments to agriculturally dominated lowland catchments, spanning large gradients in land use, geology, and climatic conditions.
Met Office1, University of New South Wales2, European Centre for Medium-Range Weather Forecasts3, Helmholtz Centre for Environmental Research - UFZ4, George Mason University5, National Oceanic and Atmospheric Administration6, Commonwealth Scientific and Industrial Research Organisation7, Royal Netherlands Meteorological Institute8, Goddard Space Flight Center9, Centre national de la recherche scientifique10
TL;DR: In this article, both simple physically-based models and empirical relationships were used as the benchmarks, and simulations were performed with 13 LSMs using atmospheric forcing for 20 sites, and then model performance relative to these benchmarks was examined.
Abstract: The Protocol for the Analysis of Land Surface Models (PALS) Land Surface Model Benchmarking Evalu- ation Project (PLUMBER) was designed to be a land surface model (LSM) benchmarking intercomparison. Unlike the traditional methods of LSM evaluation or comparison, benchmarking uses a fundamentally different approach in that it sets expectations of performance in a range of metrics a priori—before model simulations are performed. This can lead to very different conclusions about LSM performance. For this study, both simple physically based models and empirical relationships were used as the benchmarks. Simulations were performed with 13 LSMs using atmospheric forcing for 20 sites, and then model performance relative to these benchmarks was examined. Results show that even for commonly used statistical metrics, the LSMs’ performance varies considerably when compared to the different benchmarks. All models outperform the simple physically based benchmarks, but for sensible heat flux the LSMs are themselves outperformed by an out-of-sample linear re- gression against downward shortwave radiation. While moisture information is clearly central to latent heat flux prediction, the LSMs are still outperformed by a three-variable nonlinear regression that uses instantaneous atmospheric humidity and temperature in addition to downward shortwave radiation. These results highlight the limitations of the prevailing paradigm of LSM evaluation that simply compares an LSM to observations and to other LSMs without a mechanism to objectively quantify the expectations of performance. The authors con- clude that their results challenge the conceptual view of energy partitioning at the land surface.