News from GrassVeg.DE, the German grassland vegetation database

GrassVeg.DE is a collaborative vegetation-plot database associated with the Eurasian Dry Grassland Group (EDGG). It aims at collecting relevés of grasslands and other open habitats from Germany to safeguard these valuable data and provide them for scientific research, specifically for broad-scale analyses via the European Vegetation Archive (EVA). GrassVeg.DE has Bylaws that ensure a fair balance between the interests of data providers and data users. It is self-governed by an elected Governing Board, Custodian and Deputy Custodian. Founded in autumn 2016, it has now grown to 10,371 plots from all federal states of Germany except two. Currently, the majority of plots are from the four vegetation classes Juncetea maritimi, Festuco-Brometea, Koelerio-Corynephoretea and Molinio-Arrhenatheretea. Interested researchers are invited to join in order to continue the expansion of this database

Rescue and homogenisation of 140 years of glacier mass balance data in Switzerland

Glacier monitoring in Switzerland has resulted in some of the longest and most complete data series globally. Mass balance observations at individual locations, starting in the 19th century, are the backbone of the monitoring as they represent the raw and original glaciological data demonstrating the response of snow accumulation and snow/ice melt to changes in climate forcing. So far, however, the variety of sources of historic measurements has not been systematically processed and documented. Here, we present a new complete and extensive point glacier mass balance dataset for the Swiss Alps that provides attributes for data quality and corresponding uncertainties. Original sources were digitized or re-assessed to validate or to correct existing entries and to identify metadata. The sources of data are highly diverse and stem from almost 140 years of records, originating from handwritten field notes, unpublished project documents, various digital sources, published reports, as well as meta-knowledge of the observers. The project resulted in data series with metadata for 63 individual Swiss glaciers, including more than 60'000 point observations of mass balance. Data were systematically analyzed and homogenized, e.g. by supplementing partly missing information based on correlations inferred from direct measurements. A system to estimate uncertainty in all individual observations was developed indicating that annual point balance is measured with a typical error of 0.07 m water equivalent (w.e.), while the average error in winter snow measurements is 0.20 m w.e. Our dataset permits further investigating the climate change impacts on Swiss glaciers. Results show an absence of long-term trends in snow accumulation over glaciers, while melt rates have substantially increased over the last three decades.ISSN:1866-359

Rescue and homogenization of 140 years of glacier mass balance data in Switzerland

Glacier monitoring in Switzerland has resulted in some of the longest and most complete data series globally. Mass balance observations at individual locations, starting in the 19th century, are the backbone of the monitoring as they represent the raw and original glaciological data demonstrating the response of snow accumulation and snow/ice melt to changes in climate forcing. So far, however, the variety of sources of historic measurements has not been systematically processed and documented. Here, we present a new complete and extensive point glacier mass balance dataset for the Swiss Alps that provides attributes for data quality and corresponding uncertainties. Original sources were digitized or re-assessed to validate or to correct existing entries and to identify metadata. The sources of data are highly diverse and stem from almost 140 years of records, originating from handwritten field notes, unpublished project documents, various digital sources, published reports, and meta-knowledge of the observers. The project resulted in data series with metadata for 63 individual Swiss glaciers, including more than 60 000 point observations of mass balance. Data were systematically analysed and homogenized, e.g. by supplementing partly missing information based on correlations inferred from direct measurements. A system to estimate uncertainty in all individual observations was developed indicating that annual point balance is measured with a typical error of 0.07 m water equivalent (w.e.), while the average error in winter snow measurements is 0.20 m w.e. Our dataset permits further investigating the climate change impacts on Swiss glaciers. Results show an absence of long-term trends in snow accumulation over glaciers while melt rates have substantially increased over the last 3 decades. The complete dataset is available at DOI https://doi.org/10.18750/massbalance.point.2021.r2021 (GLAMOS, 2021).ISSN:1866-3516ISSN:1866-350

Integration of Non-CO2 Effects of Aviation in the EU ETS and under CORSIA

In addition to carbon dioxide, air traffic operation affects the climate through other emissions and atmospheric processes, such as the formation of ozone and contrail cirrus. The climate impact of these non-CO2 effects is strongly dependent on the emission location (in particular cruise altitude) and emission time (e.g. weather conditions) and, thus, highly non-linear to the fuel consumption. Although non-CO2 effects are responsible for about 2/3 of the climate impact of aviation, they are not yet taken into account in existing and currently planned emissions trading systems (e.g. EU ETS) or market-based measures (MBM, e.g. CORSIA 1). This research project focuses on the development of concepts for the integration of non-CO2 effects of air traffic into the EU ETS and under CORSIA. For this purpose, suitable climate metrics for assessing the relationship between non-CO2 and CO2 climate impacts are analyzed first (Part A). For selected non-CO2 calculation methodologies, the availability of the necessary data is examined and estimation procedures for non-existent data are investigated (Part B). Afterwards, the current practice in voluntary carbon markets for estimating CO2 and non-CO2 effects of aviation is presented (Part C). The additional administrative burden to verify reporting on aviation’s non-CO2 is examined in Part D. In the final step, key design parameters for the integration of non-CO2 consequences of aviation in the EU ETS and CORSIA are evaluated (Part E). The inclusion of non-CO2 effects in the EU ETS and CORSIA is highly recommended for climate-logical reasons and technically feasible, but involves an additional administrative burden for authorities and aircraft operators. The level of the resulting mitigation incentive as well as the additional effort is strongly depending on the calculation methodology of the CO2 equivalents. For this choice, a trade-off must be made between a simple operational feasibility and a high incentive level to modify flight routing and to reduce the NOx emission indices. False mitigation incentives, which can arise from to the non-linearity between non-CO2 climate effects and fuel consumption, must be prevented

GrassVeg.DE – the new collaborative vegetation-plot database for herbaceous vegetation types of Germany

Der Bericht stellt die neue kollaborative Vegetationsdatenbank GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) vor, die Vegetationsaufnahmen von Grasländern und anderen nicht-aquatischen Offenlandhabitaten Deutschlands sammelt, um sie national und international für die vegetationsökologische Forschung zur Verfügung zu stellen. GrassVeg.DE trägt die Daten zum European Vegetation Archive (EVA) und künftig auch zur globalen Vegetationsdatenbank „sPlot“ bei. Datenlieferanten von GrassVeg.DE behalten volle Verfügungsgewalt über ihre Daten und werden Mitglied des GrassVeg.DE-Konsortiums. Dadurch profitieren sie durch Co-Autorenschaften und Zitate von ihren Beiträgen und erlangen zugleich die Möglichkeit, selbst Projekte zu beantragen, die GrassVeg.DE- oder EVA-Daten nutzen. Die schnell wachsende GrassVeg.DE-Datenbank umfasste im Juli 2017 3.181 Vegetationsaufnahmen aus acht deutschen Bundesländern. Perspektivisch kann GrassVeg.DE dazu beitragen, eine konsistente Neuklassifikation der Graslandvegetationstypen Deutschlands im Rahmen der Synopsis der Pflanzengesellschaften Deutschlands zu ermöglichen. Wir schließen den Beitrag mit einem Aufruf, eigene und aus der Literatur digitalisierte Vegetationsaufnahmen zu GrassVeg.DE beizutragen.This report presents the new collaborative vegetation-plot database GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) which collects vegetation-plot records (relevés) from grasslands and other non-woodland and non-aquatic habitats from Germany to make them accessible for ecological research nationally and internationally. Data from GrassVeg.DE are provided to the European Vegetation Archive (EVA) and, in the future, also to the global database „sPlot“. Data providers of GrassVeg.DE retain full copyright of their data and becomd members of the GrassVeg.DE Consortium. Thereby, they profit from their contribution via co-authorships and citations as well as the option to propose own projects using the full GrassVeg.DE or EVA data. In July 2017, the fast-growing GrassVeg.DE data-base contained 3,181 vegetation plots, originating from eight federal states of Germany. In the future, GrassVeg.DE could facilitate the consistent re-classification of the grassland types within the series Synopsis der Pflanzengesellschaften Deutschlands. We conclude the report with a call to contribute own relevés and relevés digitised from the literature to GrassVeg.DE

Intraspecific trait variation in alpine plants relates to their elevational distribution

Climate warming is shifting the distributions of mountain plant species to higher elevations. Cold-adapted plant species are under increasing pressure from novel competitors that are encroaching from lower elevations. Plant capacity to adjust to these pressures may be measurable as variation in trait values within a species. In particular, the strength and patterns of intraspecific trait variation along abiotic and biotic gradients can inform us whether and how species can adjust their anatomy and morphology to persist in a changing environment. Here, we tested whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species' height ratio, its height relative to its nearest neighbour. Variation in alpine plant trait values over elevation differed depending on a species' median elevation and the breadth of its elevational range, with species with lower median elevations and larger elevational range sizes showing greater trait variation, i.e. a steeper slope in trait values, over their elevational distributions. These effects were evidenced by significant interactions between species' elevation and their elevational preference or range for several traits: vegetative height, generative height, specific leaf area and patch area. The height ratio of focal alpine species and their neighbours decreased in the lower part of their distribution because neighbours became relatively taller at lower elevations. In contrast, species with lower elevational optima maintained a similar height ratio with neighbours throughout their range. Synthesis. We provide evidence that species from lower elevations and those with larger range sizes show greater intraspecific trait variation, which may indicate a greater ability to respond to environmental changes. Also, larger trait variation of species from lower elevations may indicate stronger competitive ability of upslope shifting species, posing one further threat to species from higher ranges