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Topical Collection "Sustainable Agriculture and Food Supply Chains in Changing Climate"

A topical collection in Sustainability (ISSN 2071-1050). This collection belongs to the section "Sustainable Agriculture".

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College of Engineering Technology, the University of Doha for Science and Technology, Doha P.O. Box 24449, Qatar
Interests: food security, climate-smart agricultural techniques, resource optimization, sustainable agriculture, system automation, resilience and adaption to climate change impacts
Department of Agronomy MNS Agriculture University, Multan, Pakistan
Interests: crop growth modeling, agricultural statistics, water and nutrient management, arid agriculture
Associate Professor, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
Interests: soil physics; hydrology; vadose zone flow and transport processes; soil and water management; soil–water–plant–atmosphere relationships; hydrological modeling
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Topical Collection Information

Dear Colleagues,

Changing climate affects food supply chains by ruining crops, water supplies, and livestock farming. Variations in the extremes of climate change have made crops vulnerable to new diseases and attacks from insects and pests. Water resources in arid, semiarid, and tropical zones are under the threat of uneven storms as well as water scarcity. Practicing sustainable agriculture is the only way to adapt to the impacts of climate change.

Precision agriculture helps sustainable planning and the implementation of management practices to optimize the use of water, nutrients, and other natural resources. The use of remote sensing, global positioning systems, geographical information systems, proximal sensing through the hand- or machine-held sensors, and crop mapping from variability data can help design efficient agricultural management practices at small scales. Regional- and global-level studies are vital for trend analysis of the shifting of growing seasons and the challenges of addressing food security issues. The feasibility of food production systems and food supply chains involving the production of grains, vegetables, fruits, dairy, and poultry products in a changing climate is, therefore, a burning issue of research in the global debate.

Sustainable agriculture researchers use modern technologies such as remote sensing with satellites, drones, and/or proximal sensing devices to acquire useful data about soil water content, soil salinity, plant evapotranspiration, soil temperature, and crop characteristics. Precision agriculture technologies and techniques help farmers to estimate their crop yields and make informed decisions for the optimal use of crop inputs to maximize the returns from their inputs while conserving resources. Greenhouse farming is considered an efficient method of food production in areas with unfertile soils, scarce water, and harsh weather. This Special Issue of Sustainability will publish content related to climate change, sustainable agriculture, food security, greenhouse farming, vertical agriculture, hydroponics, production systems, soil health, best management practices, irrigation system automation, nutrient management, environmental pollution, precision agriculture technologies, precision horticulture, proximal sensing, artificial intelligence, deep learning, machine vision, variable rate technologies, soil and crop variability, remote sensing in agriculture, GIS/GPS, organic amendments, soil-less media, watershed management, arid zone, climate change indices, greenhouse gas emission, livestock food supply, and sustainable food supply systems.

Prof. Farhat Abbas
Prof. Hafiz Mohkum Hammad
Dr. Sanjit Deb
Guest Editors

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  • climate change
  • sustainable agriculture
  • food security
  • greenhouse farming
  • vertical agriculture
  • hydroponics
  • production systems
  • soil health
  • best management practices
  • irrigation system automation
  • nutrient management
  • environmental pollution
  • precision agriculture technologies
  • precision horticulture
  • proximal sensing
  • artificial intelligence
  • deep learning
  • machine vision
  • variable rate technologies
  • soil and crop variability
  • remote sensing in agriculture
  • organic amendments
  • soil-less media
  • watershed management
  • arid zone
  • climate change indices
  • greenhouse gas emission
  • livestock food supply
  • sustainable food supply systems

Published Papers (1 paper)


Invasive Plants Diversity, Ecological Status, and Distribution Pattern in Relation to Edaphic Factors in Different Habitat Types of District Mandi Bahauddin, Punjab, Pakistan
Sustainability 2022, 14(20), 13312; - 17 Oct 2022
Cited by 12 | Viewed by 1637
Our understanding of the diversity and distribution of living things is crucial to the conservation and sustainable use of biodiversity. Because biological invasions by alien species pose a significant threat to native biodiversity, tracking alien species at various geographical scales has recently gained [...] Read more.
Our understanding of the diversity and distribution of living things is crucial to the conservation and sustainable use of biodiversity. Because biological invasions by alien species pose a significant threat to native biodiversity, tracking alien species at various geographical scales has recently gained prominence. The current study is designed to evaluate the diversity and composition of invasive plants in different habitats of Mandi Bahuddin, Punjab, Pakistan. The investigation explores the impact of environmental factors on the distribution of alien species in association with edaphic and geographic patterns. Diversity patterns, ecological impact, and the distribution of alien species with respect to environmental variables were recorded. A randomized sampling technique was used taking data from 120 sites with triplet quadrates in each, 360 overall, between 2019 and 2021 to record the data on alien flora and associated environmental variables. Important value indices for each alien species were determined with respect to environmental data, by cluster and ordination analysis. Overall, 43 invasive alien plants from 37 genera and 18 families were documented in the district Mandi Bahuddin. The prominent family was Poaceae with ten species (23.25%) followed by Leguuminosae with six species (13.95%), Compositae with five species (11.62%), Amaranthaceae with three species (6.97%), and Convolvulaceae, Euphorbiaceae, Malvaceae, Polygonaceae, and Scrophulariaceae with two species each (4.65%). Out of 65 alien species comprised herbs 52.13%, grasses 23.25%, shrubs 9.30%, and trees 9.30%. In case life form Therophyte (48.83%) was leading, followed by Chamaephyte with (16.27%) species, Nanophanerophyte and Megaphanerophyte with (11.62%) species each, Geophyte with (6.97%) species, and Hemicryptophyte with (4.65%) species. With leaf size spectra, microphylls (41.86%) were dominating and followed by mesophylls (27.90%), leptophylls (13.95%), nanophylls (11.62%), and macrophylls (4.65%). PCA was applied in order to further understand the species distribution and abundance pattern and to find significant connections among the species with sampling locations comprising various habitats. Ward’s agglomerative clustering technique classified the one hundred and twenty transects into four major groups. Ordination analysis showed that different ecological factors had a significant (p ≤ 0.002) influence on vegetation. The current study provides a foundation from which to comprehend the influences of environmental variables on alien plants’ composition, diversity, structure, and links. These will be useful for developing scientifically informed management strategies for use by administrative agencies in the ecological restoration of the degraded habitat of the studied area. Full article
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