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The transition to a sustainable economy currently involves a fundamental transformation of our capital markets. Lawmakers, in an attempt to overcome this challenge, frequently seek to prescribe and regulate how firms may address environmental, social, and governance (ESG) concerns by formulating conduct standards. Deviating from this conceptual starting point, the present paper makes the case for another path towards achieving greater sustainability in capital markets, namely through the empowerment of investors.
This trust in the market itself is grounded in various recent developments both on the supply side and the demand side of financial markets, and also in the increasing tendency of institutional investors to engage in common ownership. The need to build coalitions among different types of asset managers or institutional investors, and to convince fellow investors of a given initiative, can then act as an in-built filter helping to overcome the pursuit of idiosyncratic motives and supporting only those campaigns that are seconded by a majority of investors. In particular, institutionalized investor platforms have emerged over recent years as a force for investor empowerment, serving to coordinate investor campaigns and to share the costs of engagement.
ESG engagement has the potential to become a very powerful driver towards a more sustainability-oriented future. Indeed, I show that investor-led sustainability has many advantages compared to a more prescriptive, regulatory approach where legislatures are in the driver’s seat. For example, a focus on investor-led priorities would follow a more flexible and dynamic pattern rather than complying with inflexible pre-defined criteria. Moreover, investor-promoted assessments are not likely to impair welfare creation in the same way as ill-defined legal standards; they will also not trigger regulatory arbitrage and would avoid deadlock situations in corporate decision-making. Any regulatory activity should then be limited to a facilitative and supportive role.
Within the framework of the Transboundary Waters Assessment Programme (TWAP), initiated by the Global Environment Facility (GEF), we contributed to a comprehensive baseline assessment of transboundary aquifers (TBAs) by quantifying different groundwater indicators using the global water resources and water use model WaterGAP 2.2. All indicators were computed under current (2010) and projected conditions in 2030 and 2050 for 91 selected TBAs larger than 20,000 km2 and for each nation’s share of the TBAs (TBA-CU: country unit). TBA outlines were provided by the International Groundwater Resources Assessment Centre (IGRAC). The set of indicators comprises groundwater recharge, groundwater depletion, per-capita groundwater recharge, dependency on groundwater, population density, and groundwater development stress (groundwater withdrawals to groundwater recharge). Only the latter four indicators were projected to 2030 and 2050. Current-state indicators were quantified using the Watch Forcing Data climate dataset, while projections were based on five climate scenarios that were computed by five global climate models for the high-emissions scenario RCP 8.5. Water use projections were based on the Shared Socio-economic Pathway SSP2 developed within ISI-MIP. Furthermore, two scenarios of future irrigated areas were explored. For individual water use sectors, the fraction of groundwater abstraction was assumed to remain at the current level.
According to our assessment, aquifers with the highest current groundwater depletion rates worldwide are not transboundary. Exceptions are the Neogene Aquifer System (Syria) with 53 mm/yr between 2000 and 2009 and the Indus River Plain aquifer (India) with 28 mm/yr. For current conditions, we identified 20 out of 258 TBA-CUs suffering from medium to very high groundwater development stress, which are located in the Middle East and North Africa region, in South Asia, China, and the USA. Considering projections, ensemble means of per-cent changes or percent point changes to current conditions were determined. Per-capita groundwater recharge is projected to decrease in 80-90% of all TBA-CUs until 2030/2050. Due to the strongly varying projections of the global climate models, we applied a worst-case scenario approach to define future hotspots of groundwater development stress, taking into account the strongest computed increase until either 2030 or 2050 among all scenarios and individual GCMs. Based on this approach, the number of TBA-CUs under at least medium groundwater development stress increases from 20 to 58, comprising all hotspots under current conditions. New hotspots are projected to develop mainly in Sub-Saharan Africa, China, and Mexico.
Extreme convective precipitation events are among the most severe hazards in central Europe and are expected to intensify under global warming. However, the degree of intensification and the underlying processes are still uncertain. In this thesis, recent advances in continuous, radar-based precipitation monitoring and convection-permitting climate modeling are used to investigate Lagrangian properties of convective rain cells such as precipitation intensity, cell area, and precipitation sum and their relationship to large-scale, environmental conditions.
Firstly, convective precipitation objects are tracked in a gauge-adjusted radar-data set and the properties of these cells are related to large-scale environmental variables to investigate the observed super-Clausius-Clapeyron (CC) scaling of convective extreme precipitation. The Lagrangian precipitation sum of convective cells increases with dew point temperature at rates well above the CC-rate with increasing rates for higher dew point temperatures. These varying, high rates are caused by a covarying increase of CAPE with dew point temperature as well as the effect of high vertical wind shear causing an increase in cell area and thus precipitation sum. At the same time, cells move faster at high vertical wind shear so that Eulerian scaling rates are lower than Lagrangian but still above the CC-rate. The results show that wind shear and static instability need to be taken into account when transferring precipitation scaling under current climate conditions to future conditions. Secondly, the representation of convective cell properties in the convection-permitting climate model COSMO-CLM is evaluated. The model can simulate the observed frequency distributions of cell properties such as lifetime, area, mean and maximum intensity, and precipitation sum. The increase of area and intensity with lifetime is also well captured despite an underestimation of the intensity of the most severe cells. Furthermore, the model can represent the temperature scaling of intensity, area, and precipitation sum but fails to simulate the observed increase of lifetime. Thus, the model is suitable to study climatologies of convective storms in Germany. Thirdly, two COSMO-CLM projections at the end of the century under emission scenario RCP8.5 were investigated. While the number of convective cells and their lifetime remain approximately constant compared to present conditions, intensity and area increase strongly. The relative increase of intensity and area is largest for the highest percentiles meaning that extreme events intensify the most. The characteristic afternoon maximum of convective precipitation is damped, and shifted to later times of day which leads to an increase of nighttime precipitation in the future. Scaling rates of cell properties with dew point temperature are nearly identical in present and future in the simulation driven by the EC-Earth model which means that the upper limit of cell properties like intensity, area, and precipitation sum could be predicted from near-surface dew point temperature. However, this result could not be reproduced by the simulation driven by MIROC5 and needs further investigation.
Reduction of greenhouse gas (GHG) emissions to minimize climate change requires very significant societal effort. To motivate this effort, it is important to clarify the benefits of avoided emissions. To this end, we analysed the impact of four emissions scenarios on future renewable groundwater resources, which range from 1600 GtCO2 during the 21st century (RCP2.6) to 7300 GtCO2 (RCP8.5). Climate modelling uncertainty was taken into account by applying the bias-corrected output of a small ensemble of five CMIP5 global climate models (GCM) as provided by the ISI-MIP effort to the global hydrological model WaterGAP. Despite significant climate model uncertainty, the benefits of avoided emissions with respect to renewable groundwater resources (i.e. groundwater recharge (GWR)) are obvious. The percentage of projected global population (SSP2 population scenario) suffering from a significant decrease of GWR of more than 10% by the 2080s as compared to 1971–2000 decreases from 38% (GCM range 27–50%) for RCP8.5 to 24% (11–39%) for RCP2.6. The population fraction that is spared from any significant GWR change would increase from 29% to 47% if emissions were restricted to RCP2.6. Increases of GWR are more likely to occur in areas with below average population density, while GWR decreases of more than 30% affect especially (semi)arid regions, across all GCMs. Considering change of renewable groundwater resources as a function of mean global temperature (GMT) rise, the land area that is affected by GWR decreases of more than 30% and 70% increases linearly with global warming from 0 to 3 ° C. For each degree of GMT rise, an additional 4% of the global land area (except Greenland and Antarctica) is affected by a GWR decrease of more than 30%, and an additional 1% is affected by a decrease of more than 70%.
Climate change research is increasingly focusing on the dynamics among species, ecosystems and climates. Better data about the historical behaviours of these dynamics are urgently needed. Such data are already available from ecology, archaeology, palaeontology and geology, but their integration into climate change research is hampered by differences in their temporal and geographical scales. One productive way to unite data across scales is the study of functional morphological traits, which can form a common denominator for studying interactions between species and climate across taxa, across ecosystems, across space and through time—an approach we call ‘ecometrics’. The sampling methods that have become established in palaeontology to standardize over different scales can be synthesized with tools from community ecology and climate change biology to improve our understanding of the dynamics among species, ecosystems, climates and earth systems over time. Developing these approaches into an integrative climate change biology will help enrich our understanding of the changes our modern world is undergoing.
In Borstgrasrasen (Nardetalia) des Werra-Meißner-Gebietes (Nordhessen, Südniedersachsen) wurden 2012 nach 25 Jahren auf möglichst gleichen Untersuchungsflächen (quasi-Dauerflächen) Wiederholungsaufnahmen angefertigt, um den gegenwärtigen Zustand bzw. Veränderungen in diesem prioritären FFH-Lebensraumtyp zu erfassen. Es wurden insgesamt 61 Flächen untersucht. Neben der Artenzusammensetzung wurden auch Bodenparameter (pH, C/N-Verhältnis, Mächtigkeit der organischen Auflage) und die Nutzung erfasst.
Bei der Wiederholungsaufnahme 2012 waren, abgesehen von einer Aufforstungsfläche, noch auf allen Flächen Arten der Borstgrasrasen vorhanden. Die Flächen wurden 2012 überwiegend genutzt oder gepflegt, während 1986/87 Brachflächen noch bei weitem dominierten. Eine Düngung der Flächen erfolgte nicht. Trotz dieser generell günstigen Nutzungssituation lässt sich ein genereller Trend zur Eutrophierung feststellen, der sich hinsichtlich Artenzahl und Deckung in einer Zunahme von Arten des Wirtschaftsgrünlandes (Molinio-Arrhenatheretea) bei gleichzeitiger Abnahme der Borstgrasrasen-Kennarten äußert. Auch die Artenzahlen der übrigen Magerkeitszeiger nahmen im Mittel ab, während Verbrachungszeiger im Allgemeinen zunahmen. Eine Veränderung der Gesamtartenzahl war nicht festzustellen. Die mittleren Zeigerwerte spiegeln die Verschiebungen im Arteninventar durch erhöhte mittlere Reaktions- und Stickstoffzahlen wider. Strukturell hat in den vergangenen 25 Jahren vor allem eine generelle Zunahme der Moosschichtdeckung und eine Ausbreitung der Sträucher auf Brachflächen stattgefunden. Bei den Bodenparametern waren 2012 eine signifikante Erhöhung der pH-Werte, eine Einengung der C/N-Verhältnisse und eine Abnahme der Mächtigkeit der organischen Auflage (Of) feststellbar. Regressionsmodelle zeigen, dass dabei die Zunahme von Arten des Wirtschaftsgrünlandes direkt mit den ansteigenden pH-Werten zusammen hing, während die Veränderungen bei den Kennarten eher vom Ausgangs-C/N-Verhältnis, teilweise auch von der Entwicklung der organischen Auflage und der Nutzung abhängig waren. Die vorgefundenen Veränderungen werden vor dem Hintergrund möglicher Gefährdungsszenarien (Brache, Eutrophierung, Bodenversauerung, Klimawandel) diskutiert. Angesichts des unerwarteten Befundes einer Eutrophierung bei gleichzeitig nachlassender Bodenversauerung, wird die Hypothese aufgestellt, dass der seit den 1990er-Jahren erfolgte Rückgang der Schwefeldepositionen mit nachfolgender Erholung der Boden-pH-Werte und nachlassender Stressbelastung, z. B. durch Ammonium-Toxizität, die Veränderungen ausgelöst haben könnte. Außerdem deuten die Ergebnisse auf eine zumindest teilweise zu geringe Nutzungs- bzw. Pflegeintensität bzw. zu späte Nutzungstermine. Möglicherweise führt der erhöhte Eutrophierungsdruck hier auch zu verstärkten Anforderungen an das Management der Flächen. Eindeutige Indizien für klimabedingte Veränderungen im Arteninventar ließen sich nicht finden. Indirekte Effekte über eine erwärmungsbedingte Förderung der Mineralisationsraten oder ein ursächlicher Zusammenhang zwischen höheren Wintertemperaturen und der Zunahme der Moosdeckung lassen sich jedoch nicht ausschließen.
Making agriculture sustainable is a global challenge. In the European Union (EU), the Common Agricultural Policy (CAP) is failing with respect to biodiversity, climate, soil, land degradation as well as socio‐economic challenges.
The European Commission's proposal for a CAP post‐2020 provides a scope for enhanced sustainability. However, it also allows Member States to choose low‐ambition implementation pathways. It therefore remains essential to address citizens' demands for sustainable agriculture and rectify systemic weaknesses in the CAP, using the full breadth of available scientific evidence and knowledge.
Concerned about current attempts to dilute the environmental ambition of the future CAP, and the lack of concrete proposals for improving the CAP in the draft of the European Green Deal, we call on the European Parliament, Council and Commission to adopt 10 urgent action points for delivering sustainable food production, biodiversity conservation and climate mitigation.
Knowledge is available to help moving towards evidence‐based, sustainable European agriculture that can benefit people, nature and their joint futures.
The statements made in this article have the broad support of the scientific community, as expressed by above 3,600 signatories to the preprint version of this manuscript. The list can be found here (https://doi.org/10.5281/zenodo.3685632).
A free Plain Language Summary can be found within the Supporting Information of this article.
Vegetation responds to drought through a complex interplay of plant hydraulic mechanisms, posing challenges for model development and parameterization. We present a mathematical model that describes the dynamics of leaf water-potential over time while considering different strategies by which plant species regulate their water-potentials. The model has two parameters: the parameter λ describing the adjustment of the leaf water potential to changes in soil water potential, and the parameter Δψww describing the typical ‘well-watered’ leaf water potentials at non-stressed (near-zero) levels of soil water potential. Our model was tested and calibrated on 110 time-series datasets containing the leaf- and soil water potentials of 66 species under drought and non-drought conditions. Our model successfully reproduces the measured leaf water potentials over time based on three different regulation strategies under drought. We found that three parameter sets derived from the measurement data reproduced the dynamics of 53% of an drought dataset, and 52% of a control dataset [root mean square error (RMSE) < 0.5 MPa)]. We conclude that, instead of quantifying water-potential-regulation of different plant species by complex modeling approaches, a small set of parameters may be sufficient to describe the water potential regulation behavior for large-scale modeling. Thus, our approach paves the way for a parsimonious representation of the full spectrum of plant hydraulic responses to drought in dynamic vegetation models.
This monograph contributes to research in content and language integrated learning (CLIL). Amidst the absence of any educational standards as well as other research deficits, Chapter II sketches a conceptual framework with a competence model for multilingual CLIL classes in the social sciences. It develops a line of argument for the promotion of global discourse competence for democratic participation within a transnational civil society. The subsequent four chapters, comprising one conceptual, one methodological and two empirical contributions, look at different aspects of the conceptual framework. Chapter III defends the developed competence model and further specifies its idea of thought in proposing the construction of multilingual 'cosmopolitan classroom glocalities' for the genesis of 21st century skills. The example of #climonomics, a multilingual EU parliamentary debate about climate change, illustrates its practical realization within school education and exemplifies the contribution to education for sustainable development (ESD) and the value of democratic and participatory learning arrangements. Chapter IV introduces design-based action research (DBAR), the method used in Chapters V & VI. DBAR is a hybrid of action and design-based research and is thereby ideally suited for bridging the gap of theory and practice in educational research. Chapter IV argues for closer cooperation between academics and practitioners, along with pragmatic stakeholder participation by involving students and teachers into research, in a quest for inductively making practical knowledge scientific. Chapter V, more language-biased, draws on the notion of translanguaging and presents the concept of 'trans-foreign-languaging' as a multilingual approach to CLIL with first language (L1) use. During six weeks DBAR, a comprehensive CLIL teaching model with judicious and principled L1 use was designed together with the study group. The model offers affordance-based and differentiated methods for different learner types. Its genesis is reconstructed by a thick description of the natural classroom dynamics. Chapter VI, rather subjectbased, asks about the influence of such bilingual language use on emotions, in particular on the formation of political judgments. It suggests different ways to measure emotions during various natural classroom settings. The chapter concludes that CLIL with L1 use has the potential to engender a perfect equilibrium of emotional and rational learning, integrating emotions into learning and valuing its positive contribution towards appropriate and multilayered political judgments. The concluding Chapter VII binds the previous chapters together and discusses the results. Criteria for the generalization of the results are assessed, and limits demarcated. It highlights the contribution to CLIL research and looks into the future, suggesting further direct classroom interventions, also with the goal to prepare the research field for larger undertakings.
Waldwachstumsmodelle sind ein ideales Werkzeug, um Auswirkungen veränderter Umweltbedingungen auf das Wachstum der Bäume aufzuzeigen. Ziel des Teilprojektes „Waldwachstumsreaktionen und Systemprozesse“ im Rahmen von ENFORCHANGE war, durch die Kombination von Wachstumsmodellen mit unterschiedlichen methodischen Ansätzen regionale Auswirkungen standörtlicher und klimatischer Veränderungen auf die Waldentwicklung zu analysieren und somit bessere Grundlagen für eine angepasste Forstbetriebsplanung zu schaffen. Anhand des physiologischen Wachstumsmodells BALANCE wurde der Einfluss der prognostizierten Klimaänderungen auf das Wachstum der Bäume abgeschätzt. Die für verschiedene Baumarten und regionaltypische Bestände gewonnenen Reaktionsmuster konnten anschließend in das managementorientierte Wachstumsmodell SILVA übertragen werden. Die Entwicklung repräsentativer Waldbestände wurde in SILVA für einen Zeitraum von 30 Jahren simuliert, wobei verschiedene Nutzungsszenarien untersucht wurden, um Handlungsspielräume und mögliche strategische Planungen für Forstbetriebe aufzuzeigen. Die gewonnenen Erkenntnisse für die praktische Betriebsplanung wurden am Beispiel des kommunalen Forstbetriebes Zittau dargestellt. Es wird deutlich, wie die Forstplanung von derartigen Szenarioanalysen profitieren kann. Die Simulationsrechnungen unter Annahme geänderter Klimaverhältnisse zeigen, dass die Bestände unter diesen Bedingungen ein verringertes Reaktionsvermögen auf waldbauliche Maßnahmen aufweisen, was insbesondere bei den Zuwächsen bemerkbar ist. Dabei haben Laubholzbestände, die bereits jetzt auf 27% der Betriebsfläche stocken, vermutlich eine Pufferwirkung und mildern die Auswirkungen der Klimaänderungen auf die Produktivität des Gesamtbetriebes ab.