Preprints
https://doi.org/10.5194/egusphere-2024-1069
https://doi.org/10.5194/egusphere-2024-1069
18 Apr 2024
 | 18 Apr 2024
Status: this preprint is open for discussion.

Drought Research Exhibits Shifting Priorities, Trends and Geographic Patterns

Roland Baatz, Gohar Ghazaryan, Michael Hagenlocher, Claas Nendel, Andrea Toreti, and Ehsan Eyshi Rezaei

Abstract. Drought research addresses a major natural hazard with adverse impacts towards achieving the sustainable development goals. Here, we analyzed more than 130,000 peer-reviewed articles indexed in Scopus, spanning from 1901 to 2022 using a generative model. The results delineate distinct shifts in research priorities. Plant genetic research for drought-tolerant genotypes and methods in drought forecasting are the major topics with highest and still increasing relative contribution to drought research. Importance of ecology, groundwater and forest research decreases in relative terms. Until 1983, interdisciplinarity of drought research was steadily decreasing, marking a pivotal shift, followed by a consistent rise in interdisciplinarity from 2007 onwards. Geospatial patterns reveal a focus on forecasting methods in all regions, and particular focus on policy and society in Africa and Oceania. In future, we recommend research and funding agencies to strengthen the track of more interdisciplinary and systemic cross-topic drought research in order to cope with drought as a multi-sectoral risk requiring multi-sectoral response frameworks.

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Roland Baatz, Gohar Ghazaryan, Michael Hagenlocher, Claas Nendel, Andrea Toreti, and Ehsan Eyshi Rezaei

Status: open (until 14 Jun 2024)

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Roland Baatz, Gohar Ghazaryan, Michael Hagenlocher, Claas Nendel, Andrea Toreti, and Ehsan Eyshi Rezaei
Roland Baatz, Gohar Ghazaryan, Michael Hagenlocher, Claas Nendel, Andrea Toreti, and Ehsan Eyshi Rezaei

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Short summary
Our analysis of over 130,000 peer-reviewed articles on drought research reveals critical shifts towards interdisciplinary approaches. Research priorities are identified in methodological advancements of drought forecasting and in plant genetics. The systemic nature of drought impacts is demonstrated. Challenges identified are the integration of plant physiological response in forecasting, fostering machine learning and early warning systems, and more systemic drought resilience frameworks.