To cope with climate change, agricultural territories are forced to implement adaptation strategies, including the implementation of irrigation infrastructures. These strategies are deployed over a long term, and their environmental performance may vary in time and space due to climate change. Environmental assessment methods that include spatio-temporal dynamics must be developed to identify long term "no-regret" scenarios. This study proposes an innovative approach based on the coupling between a crop model, i.e. AquaCrop, and the Territorial-Life Cycle Assessment (T-LCA) framework. Results are exemplified and discussed, with comparison of scenarios with or without irrigation, between 1981 and 2099, at six contrasting locations in terms of climate and soil conditions for the Shared Socioeconomic Pathways 5-8.5 scenario developed by the Intergovernmental Panel on Climate Change. The assessments report that climate change can affect the eco-efficiency of irrigated perimeters over time. Moreover, climate change may alter the conclusions of the comparison of scenarios with or without irrigation infrastructure at a given location. Additionally, a sensitivity analysis is performed on key parameters of the study highlighting the importance of the electricity mix. Finally, spatio-temporal dynamics need to be considered to assess the environmental performance of long-term land planning scenarios and account for environmental effects such as climate change.
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http://dx.doi.org/10.1016/j.scitotenv.2023.169345 | DOI Listing |
Sci Data
January 2025
University of Antwerp - imec - IDLab, Department of Mathematics, Antwerp, 2000, Belgium.
As global fertilizer application rates increase, high-quality datasets are paramount for comprehensive analyses to support informed decision-making and policy formulation in crucial areas such as food security or climate change. This study aims to fill existing data gaps by employing two machine learning models, eXtreme Gradient Boosting and HistGradientBoosting algorithms to produce precise country-level predictions of nitrogen (N), phosphorus pentoxide (PO), and potassium oxide (KO) application rates. Subsequently, we created a comprehensive dataset of 5-arcmin resolution maps depicting the application rates of each fertilizer for 13 major crop groups from 1961 to 2019.
View Article and Find Full Text PDFAm J Clin Nutr
January 2025
Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada; Centre for Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan; Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan. Electronic address:
Background: The impact of direct and indirect drivers on linear growth and wasting in young children is of public health interest. While the contributions of poverty, maternal education, empowerment and birth weight to early childhood growth are well recognized, the contribution of environmental factors like heat, precipitation, agriculture outputs and food security in comparable datasets is less well established.
Objectives: To investigate the association of length-for-age z-score (LAZ) and weight-for-length z-score (WLZ) with various indicators among children under 2 years of age in Pakistan using representative household level nutrition surveys and ecological datasets.
Lancet
January 2025
La Tunisie Médicale, Tunis, Tunisia.
J Environ Manage
January 2025
Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, 39762, United States. Electronic address:
Harmful algal blooms (HABs) are increasingly a global concern and the issue of all fifty states in the U.S as it poses a threat to human health and aquatic ecosystem. This study aimed to investigate the relationship of HABs with streamflow and water quality parameters and assess the hydrology-based potential future HABs in the Ohio River Basin at Ironton (ORBI) using the Soil and Water Assessment Tool (SWAT).
View Article and Find Full Text PDFJ Environ Manage
January 2025
College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi, 830017, China. Electronic address:
The changes in lake ice phenology (LIP) can intuitively reflect the climate evolution in the regions where lakes are located, serving as an important indicator of climate change. The Tianshan Mountains, situated at the southern edge of freezing lakes in the Northern Hemisphere, are a crucial water resource base in Xinjiang and support significant ecosystems closely related to human activities. In the context of intensified climate change, this study focuses on the geographical location, altitude, and water quality differences among large lake groups in the mid-latitude region of Xinjiang, aiming to explore the characteristics of LIP changes in these lakes and their responses to driving factors, thereby providing a basis for effective environmental management and protection.
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