Indicators
For the 2023 (third) Monitoring Report, the indicator system dating back to 2019 was reviewed and developed further. As a result of the current update, the DAS Monitoring Indicator system comprises 117 monitoring indicators in total: 67 indicators describe the impacts of climate change (Impact Indicators), 45 describe adaptation measures or activities and conditions supporting the adaptation process (Response Indicators), while another 5 are cross-sectional monitoring indicators
64 Indicators stemming from the 2019 Monitoring Report were updated based on the same methodology. 25 Indicators were revised on the basis of new scientific findings and / or changed baseline data. They are therefore presented in an altered form, although most of these appear under the same indicator title as before. 15 Indicators were deleted from the set, either because the relevant data sources no longer exist or it was possible to replace those indicators by others, or because it is no longer possible to illustrate the subject matter adequately by means of the data available. Most of the deletions (5 indicators each) used to appear in the ‘energy industry’ and ‘tourism industry’ action fields respectively. In those cases, there were question marks regarding the previously illustrated close relationships between the circumstances involved and climate change. 4 indicators were assigned a dormant status, as it is still not possible to update the indicators in question compared to their status in the 2015 report, and / or because methodical reviews are imminent. It is expected that these indicators will reappear in the 2027 Monitoring Report (possibly in an altered form). 28 indicators were newly created and make their first appearance in the 2023 Monitoring Report. Innovations are contained in nearly all action fields. The new indicators either replace indicators that have been removed from the set, or they address new themes which had not been examined before within the framework of the monitoring system. These indicators expand the thematic bandwidth and enhance the quality of the illustrations.
As far as the ‘water balance and water management’ action field is concerned, the work on the review and development of new indicators was carried out in close cooperation with experts at Federal and Länder level within the climate indicator subgroup which is part of the Federal / Länder ‘water working group’ LAWA. This group – appointed by the Standing Committee on Climate Change (LAWA-AK) – was tasked with bringing about a cross-Länder agreement on indicators which would allow the illustration of climate change impacts on issues pertaining to the water sector. Within the framework of a research project (DASIF) conducted on behalf of the Federal Environment Agency (UBA), three indicators – based on satellite data – were newly developed, to replace previous case-study indicators (see below), thus permitting to make statements on the situation nationwide. Within the framework of a broader UBA project, an indicator on the ‘soil’ action field was newly developed and incorporated in the new DAS indicator set.
Principally, all monitoring indicators are intended to illustrate, by means of time series, developments across the whole of Germany. In respect of thematic aspects which are not yet sufficiently underpinned by nationwide data to allow the creation of indicators, it was possible in some cases to develop case studies. In the 2023 Monitoring Report, 13 such case studies demonstrate by means of spatially limited data sets, what statements might be generated at the nationwide scale if the relevant data were available. In respect of the 2023 Monitoring Report, it was possible to develop indicators further – which in the 2019 Monitoring Report had been case-study indicators – thus permitting to include them in the current Monitoring Report as indicators of nationwide validity.
Regional differentiations in respect of indicator illustrations are not generally provided for in the nationwide Monitoring Report. However, in some individual cases, nationally averaged statements are difficult to interpret. With the aid of time series for individual wider areas (such as ‘north’ or ‘south’) it may be possible to provide more specific statements subject to the availability of relevant data. Map illustrations are a new feature now integrated in the 2023 Monitoring Report. These maps supplement the illustrations pertaining to time-series with regional differentiations for a specific time period.
The deadline for updating the time series in the current, that is to say. the third Monitoring Report was 30th September 2022. It follows that principally, the last-named date in the indicator charts refer to the year 2021. Wherever this seemed either meaningful or necessary, the report texts provide a prospect of developments in 2022.
Handling uncertainties
It is not possible to illustrate all relevant climate impacts and adaptation activities by means of quantitative monitoring indicators. Several processes of data collection are still in their initial stages. However, extended time series will be required before it is possible to interpret any relevant developments. The unavoidable limitations in terms of the availability of data also mean that the number of monitoring indicators used currently in action fields does not necessarily reflect their importance.
In respect of numerous monitoring indicators, it is possible to provide a qualitative description of causal relationships between observable changes in the environment, society or economy on one hand and climate change on the other. However, it is much more difficult to determine their significance, as ecological and societal systems are influenced by multiple factors. When assessing damage to forests, for example, it is necessary, in addition to any impacts of climate change such as seasonal heat or drought periods or severe storms, to take into account other impacts not related to climate change, such as nutrient inputs, acidification and high ozone concentrations which may impact the health of trees. Intense discussions have taken place (and are likely to continue) in the course of the (further) development of the DAS Monitoring indicator system regarding cause-and-effect-relationships, and during the work on adapting indicators to the latest state of the art.
Fuzzy interpretations can also occur in respect of adaptation measures. Numerous measures such as the operation of the heat warning service provided by DWD, have been taken specifically in the interest of climate adaptation. Other measures also contribute to adaptation but that is not their only purpose. For example, nature-oriented measures such as forest transformation or the greening of buildings have multiple positive effects for which they have been planned and implemented in the first place. In any case, these measures also support an effective adaptation process.
In view of the inevitable uncertainties and a degree of fuzziness as discussed above, the intention is to continue reviewing and redeveloping the monitoring indicator system in the course of future updating cycles.
Assessing the developments
DAS Monitoring Indicators are intended to facilitate an assessment of developments that have been observed. The benchmark is the DAS objective to reduce the vulnerability to climate change impacts and to maintain and augment the adaptability of natural and social systems to the inevitable impacts of climate change. The intention is that the political objectives outlined in various action fields can be maintained even when faced with changes in the climatic framework conditions.
The adaptation objectives are currently the subject of a wide-ranging process of discussions. The adaptation targets are currently undergoing a wide-ranging discussion process which aims at the development of quantified targets. The achievement of those targets should be tangibly verifiable by means of indicators, some of which may have to be newly developed. The future development of the DAS Monitoring Indicator system will include the integration of these new indicators. As far as the current monitoring indicators are concerned, there have been no quantified targets set so far, which would make an assessment of the time series possible. The assessment is restricted to the outcomes of a statistical trend analysis and an appraisal examining whether the trend is basically in line with DAS objectives. Nevertheless, a negative or positive appraisal of trends does not seem meaningful in all cases, as the consequences of the changes observed are not always fully known. For example, an earlier flowering of winter rapeseed as a consequence of climate change, indicates that climate change does impact agricultural cultivation. However, the earlier flowering is not in itself necessarily a positive or negative phenomenon as it is part of ecological relationships and dependences. In cases of this kind, the illustration is restricted purely to the outcome of the trend analysis without having been subjected to an appraisal.
In respect of their trend developments, the time series were classified within the framework of statistical trend analysis. Each trend analysis was carried out using the same statistical process for all indicators. The methodology underlying the process applied in respect of the 2019 Monitoring Report was further developed. The analysis was applied to both linear (rising and falling) trends and to trends with trend reversal (square trends) respectively. Trend reversal is useful – especially when observing extended time series – for describing developments which started out as negative trends but, owing to successful adaptation measures, have recently become positive, or vice versa. The analysis of linear trends is carried out for all time series from 7 data points onwards, whilst for square trends, it is carried out from 13 data points onwards. In the process of trend analysis, all data points of the available time series are taken into account. Any data series with insufficient data points or which are based on surveys that are irregular or too far apart temporally are eliminated from analysis. In addition, a statistical change analysis is now carried out additionally for data series with at least 30 data points. This type of analysis checks time series for any significant discontinuities or changes in the development. Basically, all data points of a time series are always entered into the trend analysis. In cases where indicators illustrate time series of different lengths, it follows that the comparison of the trends obtained is limited by this fact. For methodological details regarding trend analysis, please consult the Organisation Manual for DAS Monitoring (Organisationshandbuch zum DAS Monitoring).
I - United Nations General Assembly Resolution dated 25th September 2015 ‘Transforming our world: the 2030 UN-Agenda for Sustainable Development’ (https://documents.un.org/doc/undoc/gen/n15/291/89/pdf/n1529189.pdf). Goal 13 stipulates to ‘Take urgent action to combat climate change and its impacts’, and to ‘Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters in all countries’
1 - Die Bundesregierung (Hg.) 2015: Fortschrittsbericht zur Deutschen Anpassungsstrategie an den Klimawandel. Bundesministerium für Umwelt, Naturschutz und nukleare Sicherheit. 275 pp. https://www.bmuv.de/fileadmin/Daten_BMU/Download_PDF/Klimaschutz/klimawandel_das_fortschrittsbericht_bf.pdf
2 - Die Bundesregierung (Hg.) 2020: Zweiter Fortschrittsbericht zur Deutschen Anpassungsstrategie an den Klimawandel. 61 pp. und Anhänge. https://www.bmuv.de/fileadmin/Daten_BMU/Download_PDF/Klimaschutz/klimawandel_das_2_fortschrittsbericht_bf.pdf
3 - UBA – Umweltbundesamt (Hg.) 2022: Die Risiken des Klimawandels für Deutschland – Ergebnisse der Klimawirkungs- und Risikoanalyse 2021 sowie Schlussfolgerungen der Interministeriellen Arbeitsgruppe „Anpassung an den Klimawandel“. Dessau-Roßlau, 19 pp.
https://www.umweltbundesamt.de/sites/default/files/medien/376/publikationen/2022_fachbroschure_die_risiken_des_klimawandels_fur_deutschland_220218.pdf
4 - Tradowsky J. S., Philip S. Y., Kreienkamp F., Kew S. F., Lorenz P., Arrighi J., Bettmann T., Caluwaerts S., Chan S. C., Cruz L. de, Vries H. de, Demuth N., Ferrone A., Fischer E. M., Fowler H. J., Goergen K., Heinrich D., Henrichs Y., Kaspar F., Lenderink G., Nilson E., Otto F. E., Ragone F., Seneviratne S. I., Singh R. K., Skålevåg A., Termonia P., Thalheimer L., van Aalst M., van den Bergh J., van de Vyver H., Vannitsem S., van Oldenborgh G. J., van Schaeybroeck B., Vautard R., Vonk D., Wanders N. 2023: Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021. Climatic Change, 176 (7): 1-38.
5 - DWD – Deutscher Wetterdienst (Hg.) 2022: Klimatologischer Rückblick Sommer 2022. https://www.dwd.de/DE/leistungen/besondereereignisse/temperatur/20220921_bericht_sommer2022.pdf