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Atmosphere
Special Issues
Climate-Water-Food Nexus
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Climate-Water-Food Nexus

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology and Bioclimatology".

Deadline for manuscript submissions: closed (15 February 2020) | Viewed by 7744

Special Issue Editors

Dr. Rabin Bhattarai

E-Mail Website
Guest Editor
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Interests: water quality; hydrology; soil erosion; sediment transport
Special Issues, Collections and Topics in MDPI journals
Dr. Vahid Rahmani

E-Mail Website
Guest Editor
Department of Biological and Agricultural and Biological Engineering, Kansas State University, Manhattan, KS 66506, USA
Interests: water resources management in nonstationary conditions; extreme events

Special Issue Information

Dear Colleagues,

The world population is projected to reach 9.5 billion by 2050. This increase in population will put more stress on finite resources like water.  We will also need to produce more food to feed addional 2 billion people by 2050. Currently, agriculture is the largest user of fresh water resources around the world.

The global mean temperature has been steadily increasing for the last few decades, and this trend will likely continue for years to come. The increase in temperature coupled with population growth will significantly impact both the water and the food sector in the future, particularly in areas that show no change or a slight increase in precipitation.

The scope of this Special Issue includes analytical, experimental, and modeling studies that describe the interaction of climate, water, and food. We invite you to submit original or review papers on the issue of climate–water–food nexus, concerning both theoretical and experimental aspects: climate change impact on water, drought, food production, modeling the climate–water–food nexus, experimental studies, as well reviews on climate variables that impact water, carbon, and nutrient cycles.

Dr. Rabin Bhattarai
Dr. Vahid Rahmani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • water quantity and quality
  • drought
  • food production
  • crop yield

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Published Papers (2 papers)

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Research

14 pages, 4285 KiB  
Article
The Change Characteristics and Interactions of Soil Moisture and Temperature in the Farmland in Wuchuan County, Inner Mongolia, China
by Ziyuan Zhang, Zhihua Pan, Feifei Pan, Jun Zhang, Guolin Han, Na Huang, Jialin Wang, Yuying Pan, Zizhong Wang and Ruiqi Peng
Atmosphere 2020, 11(5), 503; https://doi.org/10.3390/atmos11050503 - 14 May 2020
Cited by 15 | Viewed by 4645
Abstract
Soil moisture and temperature are both significant factors for crop growth and development. They are also the main influencing factors of regional climate change. In the context of climate change, the relationship between soil moisture and soil temperature is not only important for [...] Read more.
Soil moisture and temperature are both significant factors for crop growth and development. They are also the main influencing factors of regional climate change. In the context of climate change, the relationship between soil moisture and soil temperature is not only important for explaining the mechanism of moisture and temperature interaction, but also provides scientific suggestions for agricultural production. Since the accurate measurement of soil moisture and temperature is difficult, their relationship remains poorly understood. Here, based on real-time field observation in a potato field in Wuchuan County, Inner Mongolia, China, the change characteristics of soil moisture and temperature under different water level treatments were analyzed, and their relationships were disclosed. The results show that there was an inverse proportional relationship between soil moisture and temperature. With an increase of soil moisture, soil temperature decreased. The basic relation between soil moisture and temperature took the form of reciprocal functions (Q = 4.2 × 103 V × (0.2 + W) × ΔT). The decline of soil moisture in the farmland will increase the soil temperature and has a negative impact on land–atmosphere interactions. The results can provide important insight into regional climate change mechanisms. Full article
(This article belongs to the Special Issue Climate-Water-Food Nexus)
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15 pages, 2234 KiB  
Article
The Implication of Different Sets of Climate Variables on Regional Maize Yield Simulations
by Amit Kumar Srivastava, Andrej Ceglar, Wenzhi Zeng, Thomas Gaiser, Cho Miltin Mboh and Frank Ewert
Atmosphere 2020, 11(2), 180; https://doi.org/10.3390/atmos11020180 - 9 Feb 2020
Cited by 8 | Viewed by 2478
Abstract
High-resolution and consistent grid-based climate data are important for model-based agricultural planning and farm risk assessment. However, the application of models at the regional scale is constrained by the lack of required high-quality weather data, which may be retrieved from different sources. This [...] Read more.
High-resolution and consistent grid-based climate data are important for model-based agricultural planning and farm risk assessment. However, the application of models at the regional scale is constrained by the lack of required high-quality weather data, which may be retrieved from different sources. This can potentially introduce large uncertainties into the crop simulation results. Therefore, in this study, we examined the impacts of grid-based time series of weather variables assembled from the same data source (Approach 1, consistent dataset) and from different sources (Approach 2, combined dataset) on regional scale crop yield simulations in Ghana, Ethiopia and Nigeria. There was less variability in the simulated yield under Approach 1, ranging to 58.2%, 45.6% and 8.2% in Ethiopia, Nigeria and Ghana, respectively, compared to those simulated using datasets retrieved under Approach 2. The two sources of climate data evaluated here were capable of producing both good and poor estimates of average maize yields ranging from lowest RMSE = 0.31 Mg/ha in Nigeria to highest RMSE = 0.78 Mg/ha under Approach 1 in Ghana, whereas, under Approach 2, the RMSE ranged from the lowest value of 0.51 Mg/ha in Nigeria to the highest of 0.72 Mg/ha in Ethiopia under Approach 2. The obtained results suggest that Approach 1 introduces less uncertainty to the yield estimates in large-scale regional simulations, and physical consistency between meteorological input variables is a relevant factor to consider for crop yield simulations under rain-fed conditions. Full article
(This article belongs to the Special Issue Climate-Water-Food Nexus)
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