Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-18-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Mar 2018
Research article |
| 20 Mar 2018
The effect of soil moisture anomalies on maize yield in Germany
UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Stephan Thober
UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Volker Meyer
UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Luis Samaniego
UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
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Preprint withdrawn
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Rohini Kumar, Jude L. Musuuza, Anne F. Van Loon, Adriaan J. Teuling, Roland Barthel, Jurriaan Ten Broek, Juliane Mai, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1117–1131, https://doi.org/10.5194/hess-20-1117-2016, https://doi.org/10.5194/hess-20-1117-2016, 2016
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V. Meyer, N. Becker, V. Markantonis, R. Schwarze, J. C. J. M. van den Bergh, L. M. Bouwer, P. Bubeck, P. Ciavola, E. Genovese, C. Green, S. Hallegatte, H. Kreibich, Q. Lequeux, I. Logar, E. Papyrakis, C. Pfurtscheller, J. Poussin, V. Przyluski, A. H. Thieken, and C. Viavattene
Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, https://doi.org/10.5194/nhess-13-1351-2013, 2013
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Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
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Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
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This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
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This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
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We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 13–27, https://doi.org/10.5194/nhess-24-13-2024, https://doi.org/10.5194/nhess-24-13-2024, 2024
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Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 23, 3913–3930, https://doi.org/10.5194/nhess-23-3913-2023, https://doi.org/10.5194/nhess-23-3913-2023, 2023
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A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
Dong Qiu, Binglin Lv, Yuepeng Cui, and Zexiong Zhan
Nat. Hazards Earth Syst. Sci., 23, 3789–3803, https://doi.org/10.5194/nhess-23-3789-2023, https://doi.org/10.5194/nhess-23-3789-2023, 2023
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This paper divides preparedness behavior into minimal and adequate preparedness. In addition to studying the main factors that promote families' disaster preparedness, we also study the moderating effects of response efficacy and self-efficacy on preparedness actions by vulnerable families. Based on the findings of this study, policymakers can target interventions and programs that can be designed to remedy the current lack of disaster preparedness education for vulnerable families.
Jenni Barclay, Richie Robertson, and M. Teresa Armijos
Nat. Hazards Earth Syst. Sci., 23, 3603–3615, https://doi.org/10.5194/nhess-23-3603-2023, https://doi.org/10.5194/nhess-23-3603-2023, 2023
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Stories create avenues for sharing the meanings and social implications of scientific knowledge. We explore their value when told between scientists during a volcanic eruption. They are important vehicles for understanding how risk is generated during volcanic eruptions and create new knowledge about these interactions. Stories explore how risk is negotiated when scientific information is ambiguous or uncertain, identify cause and effect, and rationalize the emotional intensity of a crisis.
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
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This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
EGUsphere, https://doi.org/10.5194/egusphere-2023-2540, https://doi.org/10.5194/egusphere-2023-2540, 2023
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The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of Life Cycle Consequence (LCCon) Analysis.
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
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This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
EGUsphere, https://doi.org/10.5194/egusphere-2023-2185, https://doi.org/10.5194/egusphere-2023-2185, 2023
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Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho-Chi-Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
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Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
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This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
Stephen B. Ferencz, Ning Sun, Sean Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-149, https://doi.org/10.5194/nhess-2023-149, 2023
Revised manuscript accepted for NHESS
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Drought has long posed an existential threat to society. Population growth and economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008 – 2015 record drought in the Colorado Basin, Texas, United States is used as a case study to assess impacts and responses to severe drought.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-139, https://doi.org/10.5194/nhess-2023-139, 2023
Revised manuscript accepted for NHESS
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios, by emulating the dynamics and behavior of the population and the decision making regarding the starting time of the evacuation.
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
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Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
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Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
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This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
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The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-85, https://doi.org/10.5194/nhess-2023-85, 2023
Revised manuscript accepted for NHESS
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Transboundary river management for inter-city or inter province become very critical issue due to the ego sectoral and lack of responsibility sharing. This paper has recognized the most strategic flood risk driver from key stakeholder perspective.
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
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Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
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Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
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The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
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This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
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The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
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Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
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In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
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Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
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Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
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Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
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In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
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This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
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This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
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This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
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The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). In this work we present the main results of the three survey phases, with a comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the survey.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Cited articles
Agriculture Risk Management Team: Weather Index Insurance for Agriculture: Guidance for Development Practitioners, Tech. Rep. November, The World Bank, Washington, 2011.
Akaike, H.: Information theory and an extension of the maximum likelihood principle, in: International Symposium on Information Theory, 267–281, Springer New York, https://doi.org/10.1016/j.econlet.2011.12.027, 1973.
Andresen, J. A., Alagarswamy, G., Rotz, C. A., Ritchie, J. T., and LeBaron, A. W.: Weather impacts on maize, soybean, and alfalfa production in the Great Lakes region, 1895–1996, Agron. J., 93, 1059–1070, https://doi.org/10.2134/agronj2001.9351059x, 2001.
Angrist, J. D. and Pischke, J.-S.: Mostly harmless econometrics: an empiricist's companion, March, Princeton Univers. Press, https://doi.org/10.1057/be.2009.37, 2008.
Annan, F. and Schlenker, W.: Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat, Am. Econ. Rev., 105, 262–266, https://doi.org/10.1257/aer.p20151031, 2015.
Arellano, M.: PRACTITIONERS' CORNER: Computing Robust Standard Errors for Within-groups Estimators, Oxford B. Econ. Stat., 49, 431–434, https://doi.org/10.1111/j.1468-0084.1987.mp49004006.x, 1987.
Arnold, J. B.: ggthemes: Extra Themes, Scales and Geoms for “ggplot2” [R package ggthemes version 3.3.0], available at: https://cran.r-project.org/package=ggthemes (last access: 26 February 2018), 2016.
Auffhammer, M. and Schlenker, W.: Empirical studies on agricultural impacts and adaptation, Energ. Econ., 46, 555–561, https://doi.org/10.1016/j.eneco.2014.09.010, 2014.
Auffhammer, M., Hsiang, S. M., Schlenker, W., and Sobel, A.: Using Weather Data and Climate Model Output in Economic Analyses of Climate Change, Rev. Env. Econ. Policy, 7, 181–198, https://doi.org/10.1093/reep/ret016, 2013.
Barnabás, B., Jäger, K., and Fehér, A.: The effect of drought and heat stress on reproductive processes in cereals, Plant Cell Environ., 31, 11–38, https://doi.org/10.1111/j.1365-3040.2007.01727.x, 2008.
Basso, B. and Ritchie, J.: Temperature and drought effects on maize yield, Nat. Clim. Change, 4, 233, https://doi.org/10.1038/nclimate2139, 2014.
Becker, P., Imbery, F., Friedrich, K., Rauthe, M., Matzarakis, A., Grätz, A., and Janssen, W.: Klimatologische Einschätzung des Sommer 2015, Tech. rep., Deutscher Wetter Dienst, 2015.
Berry, S. T., Roberts, M. J., and Schlenker, W.: Corn Production Shocks in 2012 and Beyond: Implications for Harvest Volatility, in: The Economics of Food Price Volatility, edited by: Chavas, J.-P., Hummels, D., and Wright, B. D., 59–81, University of Chicago Press, 2014.
Bivand, R. and Lewin-Koh, N.: maptools: Tools for Reading and Handling Spatial Objects [R package version 0.8-41], 2017.
Bivand, R., Pebesma, E., and Gómez-Rubio, V.: Applied spatial data analysis with R, Springer, available at: http://link.springer.com/content/pdf/10.1007/978-1-4614-7618-4.pdf (last access: 26 February 2018), 2013.
Bivand, R., Keitt, T., Rowlingson, B., Pebesma, E., Sumner, M., Hijmans, R., and Rouault, E.: Bindings for the Geospatial Data Abstraction Library: Package “rgdal”, available at: https://cran.r-project.org/web/packages/rgdal/index.html (last access: 26 February 2018), 2016.
Bolaños, J. and Edmeades, G. O.: The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize, Field Crop. Res., 48, 65–80, https://doi.org/10.1016/0378-4290(96)00036-6, 1996.
Bundesministerium für Ernäherung und Landwirtschaft: Ernte 2015: Mengen und Preise, Tech. Rep. August, BMEL, 2015.
Burke, M. and Emerick, K.: Adaptation to Climate Change: Evidence from US Agriculture, Am. Econ. J.-Econ. Polic., 8, 106–140, https://doi.org/10.2139/ssrn.2144928, 2016.
Butler, E. E. and Huybers, P.: Adaptation of US maize to temperature variations, Nat. Clim. Change, 3, 68–72, https://doi.org/10.1038/nclimate1585, 2013.
Butler, E. E. and Huybers, P.: Variations in the sensitivity of US maize yield to extreme temperatures by region and growth phase, Environ. Res. Lett., 10, 8, https://doi.org/10.1088/1748-9326/10/3/034009, 2015.
Carleton, T. and Hsiang, S.: Social and Economic Impacts of Climate Change, Science, 353, 6304, https://doi.org/10.1126/science.aad9837, 2016.
Chetty, R.: Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods, Annu. Rev. Econ., 1, 451–488, https://doi.org/10.1146/annurev.economics.050708.142910, 2009.
Chmielewski, F. M.: Wasserbedarf in der Landwirtschaft, in: WARNSIGNAL KLIMA: Genug Wasser für alle?, 149–156, Universität Hamburg, Institut f. Hydrobiologie, 3 edn., 2011.
Conradt, T., Gornott, C., and Wechsung, F.: Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis, Agr. Forest Meteorol., 216, 68–81, https://doi.org/10.1016/j.agrformet.2015.10.003, 2016.
Cook, R. D.: Detection of Influential Observation in Linear Regression, Technometrics, 19, 15–18, https://doi.org/10.1017/CBO9781107415324.004, 1977.
Cook, R. D.: Influential Observations in Linear Regression, J. Am. Stat. Assoc., 74, 169–174, https://doi.org/10.1080/01621459.1979.10481634, 1979.
Croissant, Y. and Millo, G.: Panel data econometrics in R: The plm package, J. Stat. Softw., 27, available at: http://137.122.187.16/cran/web/packages/plm/vignettes/plm.pdf (last access: 26 February 2018), 2008.
de Bruyn, L. P. and de Jager, J. M.: A meteorological approach to the identification of drought sensitive periods in field crops, Agr. Meteorol., 19, 35–40, https://doi.org/10.1016/0002-1571(78)90036-5, 1978.
Deschenes, O. and Greenstone, M.: The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather, Am. Econ. Rev., 97, 354–385, 2007.
Deutscher Wetterdienst: Climate Data Center, available at: http://www.dwd.de/ (last access: 26 February 2018), 2017.
Die Landwirtschaft Band 1: Landwirtschaftlicher Pflanzenbau, BLV/LVH, 2014.
Dixon, B. L., Hollinger, S. E., Garcia, P., and Tirupattur, V.: Estimating Corn Yield Response Models to Predict Impacts of Climate Change, J. Agr. Resour. Econ., 19, 58–68, 1994.
Driscoll, J. C. and Kraay, A. C.: Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data, Econ. Syst. Res., 10, 307–324, https://doi.org/10.1016/S0099-1767(98)90076-9, 1998.
European Environmental Agency: CORINE Land Cover 1990, 2000 and 2006, available at: http://www.eea.europa.eu (last access: 26 February 2018), 2009.
Fageria, N. K., Baligar, V. C., and Clark, R. B.: Physiology of crop production, CRC Press, Boca Raton, 2006.
FAO Water: Crop Water Information: Maize, available at: http://www.fao.org/nr/water/cropinfo.html, last access: 3 May 2016.
Fisher, A. C., Hanemann, M. W., Roberts, M. J., and Schlenker, W.: The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment, Am. Econ. Rev., 102, 3749–3760, https://doi.org/10.1257/aer.102.7.3761, 2012.
Fishman, R.: More uneven distributions overturn benefits of higher precipitation for crop yields, Environ. Res. Lett., 11, 024004, https://doi.org/10.1088/1748-9326/11/2/024004, 2016.
Gornott, C. and Wechsung, F.: Niveauneutrale Modellierung der Ertragsvolatilität von Winterweizen und Silomais auf mehreren räumlichen Ebenen in Deutschland, Journal für Kulturpflanzen, 65, 248–254, https://doi.org/10.5073/JfK.2015.06.01, 2015.
Gornott, C. and Wechsung, F.: Statistical regression models for assessing climate impacts on crop yields: A validation study for winter wheat and silage maize in Germany, Agr. Forest Meteorol., 217, 89–100, https://doi.org/10.1016/j.agrformet.2015.10.005, 2016.
Grant, R. F., Jackson, B. S., Kiniry, J. R., and Arkin, G. F.: Water Deficit Timing Effects on Yield Components in Maize, Agron. J., 81, 61–65, https://doi.org/10.2134/agronj1989.00021962008100010011x, 1989.
Hargreaves, G. H. and Samani, Z. A.: Reference crop evapotranspiration from temperature, Appl. Eng. Agric., 1, 96–99, https://doi.org/10.13031/2013.26773, 1985.
Hijmans, R. J.: Geographic Data Analysis and Modeling [R package raster version 2.5-8], available at: http://cran.r-project.org/package=raster (last access: 27 February 2018), 2016.
Hlavac, M.: stargazer: Well-Formatted Regression and Summary Statistics Tables [R package version 5.2], available at: http://cran.r-project.org/package=stargazer (last access: 27 February 2018), 2015.
Hsiang, S. M.: Climate Econometrics, Annu. Rev. Resour. Econ., https://doi.org/10.3386/w22181, 2016.
Hsiang, S. M., Burke, M., and Miguel, E.: Quantifying the influence of climate on human conflict, Science, 341, 1235367, https://doi.org/10.1126/science.1235367, 2013.
ICID: Agricultural Water Management for Sustainable Rural Development: Annual Report, Tech. rep., International Commission On Irrigation And Drainage, New Delhi, India, 2015.
Keller, J.: Ernteversicherungen als Risikomanagementinstrument – Eine Analyse von Versicherungstypen und Tarifierungsmodellen, PhD thesis, Justus-LIebig-Universität Giessen, 2010.
Kumar, R., Livneh, B., and Samaniego, L.: Toward computationally efficient large-scale hydrologic predictions with a multiscale regionalization scheme, Water Resour. Res., 49, 5700–5714, https://doi.org/10.1002/wrcr.20431, 2013.
Kunreuther, H. C., Michel-Kerjan, E. O., Doherty, N. A., Grace, M. F., Klein, R. W., and Pauly, M. V.: At War With the Weather: Managing Large-Scale Risks in a New Era of Catastrophes, The MIT Press, Cambridge, MA, https://doi.org/10.1111/j.1539-6975.2011.01451.x, 2009.
Lobell, D. B.: Errors in climate datasets and their effects on statistical crop models, Agr. Forest Meteorol., 170, 58–66, https://doi.org/10.1016/j.agrformet.2012.05.013, 2013.
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., and Naylor, R. L.: Prioritizing climate change adaptation needs for food security in 2030, Science, 319, 607–610, 2008.
Lobell, D. B., Bänziger, M., Magorokosho, C., and Vivek, B.: Nonlinear heat effects on African maize as evidenced by historical yield trials, Nat. Clim. Change, 1, 42–45, https://doi.org/10.1038/nclimate1043, 2011a.
Lobell, D. B., Schlenker, W., and Costa-Roberts, J.: Climate Trends and Global Crop Production Since 1980, Science, 333, 616–620, https://doi.org/10.1126/science.1204531, 2011b.
Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J., and Schlenker, W.: The critical role of extreme heat for maize production in the United States, Nat. Clim. Change, 3, 497–501, https://doi.org/10.1038/nclimate1832, 2013.
Monteith, J. L.: Evaporation and surface temperature, Q. J. Roy. Meteor. Soc., 107, 1–27, 1981.
Moore, F. C. and Lobell, D. B.: Adaptation potential of European agriculture in response to climate change, Nat. Clim. Change, 4, 610–614, https://doi.org/10.1038/nclimate2228, 2014.
Moore, F. C. and Lobell, D. B.: The fingerprint of climate trends on European crop yields, P. Natl. Acad. Sci. USA, 112, 2670–2675, https://doi.org/10.1073/pnas.1409606112, 2015.
Mueller, B. and Seneviratne, S. I.: Hot days induced by precipitation deficits at the global scale, P. Natl. Acad. Sci. USA, 109, 12398–12403, https://doi.org/10.1073/pnas.1204330109, 2012.
Neuwirth, E.: RColorBrewer: ColorBrewer Palettes [R package version 1.1-2], available at: https://cran.r-project.org/package=RColorBrewer (last access: 27 February 2018), 2014.
Orth, R. and Seneviratne, S. I.: Analysis of soil moisture memory from observations in Europe, J. Geophys. Res.-Atmos., 117, 1–19, https://doi.org/10.1029/2011JD017366, 2012.
Ortiz-Bobea, A.: Improving Agronomic Structure in Econometric Models of Climate Change, in: Agricultural and Applied Economics Association's 2011 AAEA and NAREA Joint Annual Meeting, unpublished, 2011.
Ortiz-Bobea, A.: Is Weather Really Additive in Agricultural Production?, Working Paper, 2013.
Ortiz-Bobea, A. and Just, R. E.: Modeling the structure of adaptation in climate change impact assessment, Am. J. Agr. Econ., 95, 244–251, https://doi.org/10.1093/ajae/aas035, 2013.
Pierce, D.: ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data. [R package version 1.15], available at: https://cran.r-project.org/package=ncdf4 (last access: 27 February 2018), 2015.
R Core Team: R: A Language and Environment for Statistical Computing, 2015.
Roberts, M. J., Schlenker, W., and Eyer, J.: Agronomic Weather Measures in Econometric Models of Crop Yield with Implications for Climate Change, Am. J. Agr. Econ., 95, 236–243, https://doi.org/10.1093/ajae/aas047, 2013.
Samaniego, L., Kumar, R., and Attinger, S.: Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale, Water Resour. Res., 46, W05523, https://doi.org/10.1029/2008WR007327, 2010.
Samaniego, L., Kumar, R., and Zink, M.: Implications of Parameter Uncertainty on Soil Moisture Drought Analysis in Germany, J. Hydrometeorol., 14, 47–68, https://doi.org/10.1175/JHM-D-12-075.1, 2013.
Sarkar, D.: Lattice: Multivariate Data Visualization with R, Springer, New York, available at: http://lmdvr.r-forge.r-project.org (last access: 27 February 2018), 2008.
Sarkar, D. and Andrews, F.: latticeExtra: Extra Graphical Utilities Based on Lattice [R package version 0.6-28], available at: https://cran.r-project.org/package=latticeExtra (last access: 27 February 2018), 2016.
Schlenker, W. and Lobell, D. B.: Robust negative impacts of climate change on African agriculture, Environ. Res. Lett., 5, 14010, https://doi.org/10.1088/1748-9326/5/1/014010, 2010.
Schlenker, W. and Roberts, M. J.: Nonlinear Effects of Weather on Corn Yields, Rev. Agr. Econ., 28, 391–398, https://doi.org/10.1111/j.1467-9353.2006.00304.x, 2006.
Schlenker, W. and Roberts, M. J.: Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change, P. Natl. Acad. Sci. USA, 106, 15594–15598, https://doi.org/10.1073/pnas.0906865106, 2009.
Schlenker, W., Hanemann, W. M., and Fisher, A. C.: Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach, Am. Econ. Rev., 95, 395–406, https://doi.org/10.1126/science.151.3712.867-a, 2005.
Schlenker, W., Hanemann, W. M., and Fisher, A. C.: The impact of global warming on US agriculture: an econometric analysis of optimal growing conditions, Rev. Econ. Stat., 88, 113–125, https://doi.org/10.1162/rest.2006.88.1.113, 2006.
Schlenker, W., Roberts, M. J., and Lobell, D. B.: US maize adaptability, Nat. Clim. Change, 3, 690–691, https://doi.org/10.1038/nclimate1959, 2013.
Schwarz, G.: Estimating the dimension of a model, Ann. Stat., 6, 461–464, https://doi.org/10.1214/aos/1176344136, 1978.
Sheffield, J. and Wood, E. F.: Drought: Past problems and future scenarios, Earthscan, London, Washington, D.C., 2011.
Sinclair, T. R. and Seligman, N. G.: Crop modeling: From infancy to maturity, Agron. J., 88, 698–704, https://doi.org/10.2134/agronj1996.00021962008800050004x, 1996.
Statistisches Bundesamt: Land- und Forstwirtschaft, Fischerei – Bodenbearbeitung, Bewässerung, Landschaftselemente – Erhebung über landwirtschafliche Produktionsmethoden (ELPM), Tech. rep., Statistisches, Wiesbaden, 2011.
Statisitsches Bundesamt: Weizen und Silomais dominieren mit 45 % den Anbau auf dem Ackerland Statistisches Bundesamt, 2016.
Statistische Ämter des Bundes und der Länder: The Regional Database Germany (“Regionaldatenbank Deutschland”), available at: https://www.regionalstatistik.de (last access: 27 February 2018), 2017.
Teixeira, E. I., Fischer, G., van Velthuizen, H., Walter, C., and Ewert, F.: Global hot-spots of heat stress on agricultural crops due to climate change, Agr. Forest Meteorol., 170, 206–215, https://doi.org/10.1016/j.agrformet.2011.09.002, 2013.
Thober, S., Kumar, R., Sheffield, J., Mai, J., Schäfer, D., and Samaniego, L.: Seasonal Soil Moisture Drought Prediction over Europe Using the North American Multi-Model Ensemble (NMME), J. Hydrometeorol., 16, 2329–2344, https://doi.org/10.1175/JHM-D-15-0053.1, 2015.
Thompson, L. M.: Weather and Technology in the Production of Corn in the U. S. Corn Belt, Agron. J., 61, 453–456, https://doi.org/10.2134/agronj1969.00021962006100030037x, 1969.
Timmins, C. and Schlenker, W.: Reduced-Form Versus Structural Modeling in Environmental and Resource Economics, Annu. Rev. Resour. Econ., 1, 351–380, https://doi.org/10.1146/annurev.resource.050708.144119, 2009.
Tubiello, F. N., Soussana, J.-F., and Howden, S. M.: Crop and pasture response to climate change., P. Natl. Acad. Sci. USA, 104, 19686–19690, https://doi.org/10.1073/pnas.0701728104, 2007.
UNISDR: Global Assessment Report on Disaster Risk Reduction – Making Development Sustainable: The Future of Disaster Risk Management, United Nations Office for Disaster Risk Reduction (UNISDR), Geneva, Switzerland, https://doi.org/10.18356/919076d9-en, 2015.
Urban, D., Roberts, M. J., Schlenker, W., and Lobell, D. B.: Projected temperature changes indicate significant increase in interannual variability of U.S. maize yields: A Letter, Climatic Change, 112, 525–533, https://doi.org/10.1007/s10584-012-0428-2, 2012.
Urban, D. W., Roberts, M. J., Schlenker, W., and Lobell, D. B.: The effects of extremely wet planting conditions on maize and soybean yields, Climatic Change, 130, 247–260, https://doi.org/10.1007/s10584-015-1362-x, 2015a.
Urban, D. W., Sheffield, J., and Lobell, D. B.: The impacts of future climate and carbon dioxide changes on the average and variability of US maize yields under two emission scenarios, Environ. Res. Lett., 10, 045003, https://doi.org/10.1088/1748-9326/10/4/045003, 2015b.
Wahid, A., Gelani, S., Ashraf, M., and Foolad, M. R.: Heat tolerance in plants: An overview, Environ. Exp. Bot., 61, 199–223, https://doi.org/10.1016/j.envexpbot.2007.05.011, 2007.
White, H.: A Heteroskedasticity-Consistent Covariance Matrix and a Direct Test for Heteroskedasticity, Econometrica, 48, 817–838, 1980.
Wickham, H.: Reshaping Data with the reshape Package, J. Stat. Softw., 21, 1–20, https://doi.org/10.18637/jss.v021.i12, 2007.
Wickham, H.: The split-apply-combine strategey for data analysis, J. Stat. Softw., 40, 1–29, https://doi.org/10.18637/jss.v040.i01, 2011.
Wickham, H.: ggplot2: elegrant graphics for data analysis, Springer, New York, 2016.
Zink, M., Samaniego, L., Kumar, R., Thober, S., Mai, J., Schäfer, D., and Marx, A.: The German drought monitor, Environ. Res. Lett., 11, 074002, https://doi.org/10.1088/1748-9326/11/7/074002, 2016.
Zink, M., Kumar, R., Cuntz, M., and Samaniego, L.: A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty, Hydrol. Earth Syst. Sci., 21, 1769–1790, https://doi.org/10.5194/hess-21-1769-2017, 2017.
Short summary
Crop yields are routinely derived from meteorological variables, especially temperature. However, the primary water source for plant growth (soil moisture) is neglected. In this study, the predictability of maize yield is investigated using soil moisture or meteorological variables in Germany. The effects of soil moisture dominate those of temperature and are time-dependent. For example, comparatively moist soil conditions in June reduce crop yields, while in August they increase yields.
Crop yields are routinely derived from meteorological variables, especially temperature....
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