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New Insights into the Response and Adaptation of Agriculture to...
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New Insights into the Response and Adaptation of Agriculture to Climate Change

A special issue of Atmosphere (ISSN 2073-4433).

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2844

Special Issue Editors

Dr. Lei Wang

E-Mail Website
Guest Editor
Earth System Modelling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100086, China
Interests: carbon cycle; climate change; climate extremes; warming targets; earth system
Dr. Yinglong Sun

E-Mail Website
Guest Editor
National Meteorological Center (NMC), China Meteorological Administration, Beijing 100086, China
Interests: ecological meteorology; agricultural meteorology

Special Issue Information

Dear Colleagues,

Climate change poses significant challenges and opportunities for agriculture. The impacts of climate change on agriculture vary depending on the region, crop, and farming system. From a positive perspective, climate change may increase the length of the growing season in some regions, and the extra CO2 may increase food production through fertilization effects. From a negative perspective, climate change may increase the frequency and intensity of extreme weather events, such as floods, droughts, and heat waves, which can damage crops and reduce yields. Climate change may also increase the spread of weeds, pests, and diseases that harm crops and livestock. Moreover, the quality and quantity of the water resources that are vital for irrigation and livestock production may be changed. Therefore, progress in the response and adaption of agriculture to climate change are urgently needed.

This Special Issue on "New Insights into the Response and Adaptation of Agriculture to Climate Change" aims to present the current research on how agriculture can address and contribute to climate change management. It covers a wide range of topics, such as crop modelling, climate risk assessment, crop improvement, and so on. Novel advances in the understanding of climate change phenomena are also welcome, such as physical mechanisms and feedbacks of climate change; the impacts and vulnerabilities of climate systems; and climate extremes such as heat waves, droughts, floods, storms, as well as their impacts on agriculture. This Special Issue intends to promote further research and actions concerned with how to minimize the adverse effects and risks of climate change on agriculture in the context of the global climate crisis.

Dr. Lei Wang
Dr. Yinglong Sun
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
  • climate variability
  • climate risk management
  • adaptation of agriculture
  • climate disaster
  • CO2 fertilization
  • crop model
  • climate change scenarios

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Published Papers (2 papers)

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Research

18 pages, 6188 KiB  
Article
Sensitivity of the Land–Atmosphere Coupling to Soil Moisture Anomalies during the Warm Season in China and its Surrounding Areas
by Lan Wang, Shuwen Zhang, Xinyang Yan and Chentao He
Atmosphere 2024, 15(2), 221; https://doi.org/10.3390/atmos15020221 - 12 Feb 2024
Viewed by 1311
Abstract
Significant temporal and spatial variability in soil moisture (SM) is observed during the warm season in China and its surrounding regions. Because of the existence of two different evapotranspiration regimes, i.e., soil moisture-limited and energy-limited, averaging the land–atmosphere (L–A) coupling strength for all [...] Read more.
Significant temporal and spatial variability in soil moisture (SM) is observed during the warm season in China and its surrounding regions. Because of the existence of two different evapotranspiration regimes, i.e., soil moisture-limited and energy-limited, averaging the land–atmosphere (L–A) coupling strength for all soil wetness scenarios may result in the loss of coupling signals. This study examines the daytime-only L–A interactions under different soil moisture conditions, by using two-legged metrics in the warm season from May to September 1981–2020, partitioning the interactions between SM and latent heat flux (SM–LH, the land leg) from the interactions between latent heat flux and the lifting condensation level (LH–LCL, the atmospheric leg). The statistical results reveal large regional differences in warm-season daytime L–A feedback in China and its surrounding areas. As the soil becomes wetter, the positive SM–LH coupling strength increases in arid regions (e.g., northwest China, Hetao, and the Great Indian Desert) and the positive feedback shifts to the negative one in semi-arid/semi-humid regions (northeast and northern China). The negative LH–LCL coupling is most pronounced in wet soil months in arid regions, while the opposite is true for the Tibetan Plateau. In terms of intraseasonal variation, the large variability of SM in north China, the Tibetan Plateau, and India due to the influence of the summer monsoon leads to the sign change in the land segment coupling index, comparing pre- and post-monsoon periods. To further examine the impact of SM anomalies on L–A coupling and to explore evapotranspiration regimes in the North China Plain, four sets of sensitivity experiments with different soil moisture levels over a period of 10 years were conducted. Under relatively dry soil conditions, evapotranspiration is dominated by the soil moisture-limited regime with positive L–A coupling, regardless of external moisture inflow. The critical soil moisture value separating a soil moisture-limited and an energy-limited regime lies between 0.24 m3/m3 and 0.29 m3/m3. Stronger positive feedback under negative soil moisture anomalies may increase the risk of drought in the North China Plain. Full article
(This article belongs to the Special Issue New Insights into the Response and Adaptation of Agriculture to Climate Change)
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17 pages, 7503 KiB  
Article
Assessing the Influence Factors of Agricultural Soils’ CH4/N2O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China
by Jiayu Song, Jun Wei, Wenming Zhou, Jie Zhang, Wenjie Liu, Feixiang Zhang and Haiyan Zhou
Atmosphere 2023, 14(10), 1547; https://doi.org/10.3390/atmos14101547 - 10 Oct 2023
Viewed by 1124
Abstract
Global warming poses a significant environmental challenge, which is primarily driven by the increase in greenhouse gas concentrations. In this study, we aimed to investigate the factors influencing CH4/N2O emissions from agricultural soils over Hainan Island, China, from 2009 [...] Read more.
Global warming poses a significant environmental challenge, which is primarily driven by the increase in greenhouse gas concentrations. In this study, we aimed to investigate the factors influencing CH4/N2O emissions from agricultural soils over Hainan Island, China, from 2009 to 2018. To achieve this, we selected air temperature, precipitation, and solar radiation as climate factors and categorized farmland as paddy or non-paddy, using revised EDGAR greenhouse gas datasets involving the bias correction method, and geographical detector analysis, multiple linear regression models, and bias sensitivity analysis were used to quantify the sensitivity of climate and land use. The maximum air temperature emerged as the primary factor influencing CH4 emissions, while the mean air temperature predominantly affected N2O emissions. The ratio of paddy field area to city area emerged as the second most influential factor impacting CH4/N2O emissions. The mean CH4/N2O emission intensity from paddy fields was significantly higher (0.42 t·hm−2/0.0068 t·hm−2) compared to that of non-paddy fields (0.04 t·hm−2/0.002 t·hm−2). Changes in maximum air temperature under global warming and crop irrigation practices profoundly affect greenhouse gas emissions on Hainan Island. Specifically, the emission intensities of CH4 and N2O increased by 14.2% and 11.14% for each Kelvin warmer, respectively. Full article
(This article belongs to the Special Issue New Insights into the Response and Adaptation of Agriculture to Climate Change)
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