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Agriculture, Ecosystems and Environment: Monitoring, Modeling and Mitigation Under Climate...
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Agriculture, Ecosystems and Environment: Monitoring, Modeling and Mitigation Under Climate Change

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1207

Special Issue Editors

Dr. Chuan Jin

E-Mail Website
Guest Editor
School of Ecology, Hainan University, Haikou 570228, China
Interests: carbon cycle; flux towers; ecological models; climate change
Dr. Guojiao Yang

E-Mail Website
Guest Editor
School of Ecology, Hainan University, Haikou 570228, China
Interests: reactions of terrestrial ecosystems to global change; biodiversity; ecosystem functions
Dr. Licong Dai

E-Mail Website
Guest Editor
School of Ecology, Hainan University, Haikou 570228, China
Interests: ecological hydrological processes; soil water conservation functions; plant water use strategies; global changes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Agricultural ecosystems are fundamental to global food security and play a complex role in Earth’s biogeochemical cycles. They act as both a source and a sink for atmospheric carbon dioxide (CO2), and practices for their management significantly influence regional water, energy, and climate balance. Cropping system, irrigation practice, soil health, phenological stage, and extreme weather events all impact the capacity of agroecosystems for carbon sequestration, coping with greenhouse gas emissions, and climate change adaptation and mitigation. This Special Issue aims to advance our understanding of the interactions between agricultural ecosystems and the atmosphere, as well as agriculture’s level of resilience to a changing climate. We welcome original research articles and reviews on the interactions between agricultural ecosystems and the atmosphere, including, but not limited to, crop productivity, evapotranspiration, agricultural greenhouse gas emissions, land use change, and agroecology, as well as their spatial and temporal variation.

We look forward to receiving your contributions to this Special Issue.

Dr. Chuan Jin
Dr. Guojiao Yang
Dr. Licong Dai
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 250 words) can be sent to the Editorial Office for assessment.

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

  • agroecosystems
  • grassland
  • carbon cycle
  • greenhouse gas fluxes
  • evapotranspiration
  • remote sensing
  • climate change
  • soil carbon
  • water use efficiency
  • ecological model
  • flux tower
  • machine learning
  • process-based modeling

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Published Papers (2 papers)

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Research

15 pages, 2764 KB  
Article
How Variations in Photosynthetically Active Radiation Affect Vegetation Carbon–Water Coupling Processes: A Study Based on the Vegetation Microclimate Process (VMcP) Model
by Yu Wang, Shufan Li, Xiufeng Sun, Yan Xu and Junru Yan
Atmosphere 2026, 17(3), 238; https://doi.org/10.3390/atmos17030238 - 25 Feb 2026
Viewed by 318
Abstract
Vegetation physiological processes are critical regulators of terrestrial carbon–water cycles and local microclimate dynamics, with photosynthetically active radiation (PAR, 400–700 nm) serving as a primary driving force. However, most vegetation–climate process models simplify the fraction of PAR in global solar radiation as a [...] Read more.
Vegetation physiological processes are critical regulators of terrestrial carbon–water cycles and local microclimate dynamics, with photosynthetically active radiation (PAR, 400–700 nm) serving as a primary driving force. However, most vegetation–climate process models simplify the fraction of PAR in global solar radiation as a constant 50%, potentially introducing diurnal simulation biases that propagate into cumulative annual errors in vegetation carbon–water coupling estimates. To address this limitation, we first evaluated the performance of three empirical models for simulating the dynamic PAR fraction and integrated the most accurate model into the Vegetation Microclimate Process (VMcP) model, and further used typical meteorological year (TMY) data of Beijing, Shanghai and Shenzhen as input to compare the differences in vegetation carbon–water processes before and after the improvement. The results show that the diurnal variation range of PAR fraction in global solar radiation is between 39% and 58%. The existing models that neglect the dynamic changes in PAR may overestimate vegetation transpiration cooling and photosynthetic carbon sequestration by 2.3% and 3.5%, respectively. Meanwhile, Shenzhen (64.3 W/m2; 1.59 g/m2·d), characterized by favorable light and thermal conditions, is more prone to large errors compared with Shanghai (47.6 W/m2; 1.21 g/m2·d) and Beijing (39.5 W/m2; 0.93 g/m2·d). This study provides a novel tool for the accurate assessment of vegetation-mediated microclimate improvement, and offers a new perspective for nature-based climate solutions. Full article
(This article belongs to the Special Issue Agriculture, Ecosystems and Environment: Monitoring, Modeling and Mitigation Under Climate Change)
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17 pages, 3523 KB  
Article
Characteristics and Driving Mechanisms of Net Ecosystem Productivity in a Subtropical Moso Bamboo Forest Based on XGBoost
by Kun Zhao, Cheng Li, Huifang Liu, Xiaoyi Hua, Boxuan Duan, Manyi Li, Wenjing Chen and Chuan Jin
Atmosphere 2026, 17(2), 158; https://doi.org/10.3390/atmos17020158 - 31 Jan 2026
Cited by 1 | Viewed by 510
Abstract
As a critical agroforestry crop in Southern China, Moso bamboo, maintains regional timber security and bamboo shoot production, with its net ecosystem productivity (NEP) directly determining dry matter accumulation and economic yield. This study integrates 2024 continuous flux observations with XGBoost and SHAP [...] Read more.
As a critical agroforestry crop in Southern China, Moso bamboo, maintains regional timber security and bamboo shoot production, with its net ecosystem productivity (NEP) directly determining dry matter accumulation and economic yield. This study integrates 2024 continuous flux observations with XGBoost and SHAP explanations to characterize the subtropical bamboo forest carbon budget and its nonlinear driving mechanisms. The results show a weak carbon sink in 2024 with an annual cumulative NEP of 120 g C m−2, as high respiration of 860 g C m−2 limited organic matter conversion by consuming nearly 88% of the 980 g C m−2 total primary production. The peak production period during May and June was offset by growth stagnation in August, caused by extreme heat and drought. Net radiation served as the primary driver, with a positive contribution threshold of 75.28 W m−2, whereas precipitation exceeding 1.85 mm or air temperatures over 17.85 °C hindered carbon accumulation through radiation attenuation and metabolic heat loss. Strong radiation–precipitation interactions confirm that water’s impacts on yield are deeply contingent upon radiation backgrounds. These nonlinear regulatory pathways provide a scientific foundation for stabilizing bamboo forest productivity through synergistic water-radiation management and structural optimization during extreme climate events. Full article
(This article belongs to the Special Issue Agriculture, Ecosystems and Environment: Monitoring, Modeling and Mitigation Under Climate Change)
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