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  • 1.
    Abdelgadir, Mohanad
    et al.
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. Södertörn University, Centre for Baltic and East European Studies (CBEES), Baltic & East European Graduate School (BEEGS).
    Alharbi, Randa
    University of Tabuk, Saudi Arabia.
    AlRashidi, Monif
    University of Ha'il, Saudi Arabia.
    Alatawi, Abdulaziz S.
    University of Tabuk, Saudi Arabia.
    Sjöling, Sara
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.
    Dinnétz, Patrik
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.
    Distribution of denitrifiers predicted by correlative niche modeling of changing environmental conditions and future climatic scenarios across the Baltic Sea2023In: Ecological Informatics, ISSN 1574-9541, E-ISSN 1878-0512, Vol. 78, article id 102346Article in journal (Refereed)
    Abstract [en]

    Denitrifying microbial communities provide an important ecosystem function in aquatic systems. Yet, knowledge on predictive and modeling of these complex and changing communities is limited. The emergently challenging question of how the geographical distribution of denitrifiers responds to ongoing and future environmental change is not yet fully understood. In our study we use metadata-based correlative niche modeling to analyze the geographical distribution of selected putative denitrifiers in the genus Sphingomonas, Mycoplana, Shewanella, and Alteromonas at different predicted environmental conditions and future climatic scenarios across the Baltic Sea. Using the predictive power of an ensemble modeling approach and eight different machine-learning algorithms, habitat suitability and the distribution of the selected denitrifiers were evaluated using geophysical and bioclimatic variables, benthic conditions, and four Representative Concentration Pathway (RCP) trajectories of future global warming scenarios. All algorithms provided successful prediction capabilities both for variable importance, and for habitat suitability with Area Under the Curve (AUC) values between 0.89 and 1.00. Model findings revealed that salinity and nitrate concentrations significantly explained the variation in distribution of the selected denitrifiers. Rising temperatures of 0.8 to 1.8 °C at future RCP60–2050 trajectories are predicted to diminish or eliminate the bioclimatic suitable habitats for denitrifier distributions across the Baltic Sea. Multi-collated terrestrial and marine environmental variables contributed to the successful prediction of denitrifier distributions within the study area. The correlative niche modeling approach with high AUC values presented in the study allowed for accurate projections of the future distributions of the selected denitrifiers. The modeling approach can be used to improve our understanding of how ongoing and predicted future environmental changes may affect habitat suitability for organisms with denitrification capacity across the Baltic Sea.

  • 2.
    Broman, Elias
    et al.
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. Stockholm University, Sweden.
    Abdelgadir, Mohanad
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.
    Bonaglia, Stefano
    University of Gothenburg, Sweden.
    Forsberg, Sara C.
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. Stockholm University, Sweden.
    Wikström, Johan
    Stockholm University, Sweden.
    Gunnarsson, Jonas S.
    Stockholm University, Sweden.
    Nascimento, Francisco J. A.
    Stockholm University, Sweden.
    Sjöling, Sara
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.
    Long-Term Pollution Does Not Inhibit Denitrification and DNRA by Adapted Benthic Microbial Communities2023In: Microbial Ecology, ISSN 0095-3628, E-ISSN 1432-184X, Vol. 86, p. 2357-2372Article in journal (Refereed)
    Abstract [en]

    Denitrification in sediments is a key microbial process that removes excess fixed nitrogen, while dissimilatory nitrate reduction to ammonium (DNRA) converts nitrate to ammonium. Although microorganisms are responsible for essential nitrogen (N) cycling, it is not yet fully understood how these microbially mediated processes respond to toxic hydrophobic organic compounds (HOCs) and metals. In this study, we sampled long-term polluted sediment from the outer harbor of Oskarshamn (Baltic Sea), measured denitrification and DNRA rates, and analyzed taxonomic structure and N-cycling genes of microbial communities using metagenomics. Results showed that denitrification and DNRA rates were within the range of a national reference site and other unpolluted sites in the Baltic Sea, indicating that long-term pollution did not significantly affect these processes. Furthermore, our results indicate an adaptation to metal pollution by the N-cycling microbial community. These findings suggest that denitrification and DNRA rates are affected more by eutrophication and organic enrichment than by historic pollution of metals and organic contaminants.

  • 3.
    AlRashidi, Monif
    et al.
    University of Ha’il, Saudi Arabia.
    Abdelgadir, Mohanad
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.
    Shobrak, Mohammed
    Taif University, Saudi Arabia.
    Habitat selection by the Spiny-tailed lizard (Uromastyx aegyptia): A view from spatial analysis2021In: Saudi Journal of Biological Sciences, ISSN 1319-562X, Vol. 28, no 9, p. 5034-5041Article in journal (Refereed)
    Abstract [en]

    Many factors affect the habitat selection for animal species, which in turn may greatly affect their distribution in different ecosystems. Understanding the processes that affect habitat selection is also critical for guiding and managing conservation initiatives. Our study aimed to assess the habitat selection by free-ranging Spiny-tailed lizard (Uromastyx aegyptia) by analyzing a geospatial data connecting its burrow parameters to different habitat characteristics within selected sites in Hail region, Saudi Arabia. We examined evidence and patterns of significant spatial clustering for (366) active burrows by linking their parameters (burrow entrance size, burrow entrance width and burrow entrance height), their reference geographical locations and, two habitat characteristics defined by soil type and vegetation cover. The objective of the analysis was to increase the understanding on the burrows aggregation process in the space and, to describe its possible relation to other spatial habitat configurations. Analysis of distances based on the Nearest Neighbor Index (NNI) and hotspots detection in Nearest neighbor hierarchical clustering (Nnh) suggested twelve (12) spatial clusters located within the study area. In addition, a spatial ordinary least square (OLS) and Poisson regression models revealed significant effects of soil type and vegetation cover on burrow parameters (OLS, p < 0.05; Poisson, p < 0.001), which indicate a strong association between burrows parameters and habitats characteristics. Findings from the study also suggest that other factors such as elevations, highways, and human settlement concentration spots could possibly play a major role in defining burrow spatial aggregation and furthermore have a significant impact on habitat selection.

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  • 4.
    Mseddi, K.
    et al.
    Department of Biology, Faculty of Science, University of Sfax, Tunisia; Department of Biology, Faculty of Science, University of Hail, Saudi Arabia.
    Alghamdi, A.
    Department of Biology, Faculty of Science, University of Hail, Saudi Arabia.
    Abdelgadir, Mohanad
    Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. Department of Biology, Faculty of Science, University of Hail, Saudi Arabia.
    Sharawy, S.
    Department of Biology, Faculty of Science, University of Hail, Saudi Arabia.
    Chaieb, M.
    Department of Biology, Faculty of Science, University of Sfax, Tunisia.
    Miller, T.
    Centre for Middle Eastern Plants, Royal Botanic Garden Edinburgh, Edinburgh, UK.
    Phytodiversity distribution in relation to altitudinal gradient in Salma Mountains – Saudi Arabia2021In: Global Ecology and Conservation, ISSN 2351-9894, Vol. 27, article id e01525Article in journal (Refereed)
    Abstract [en]

    This study was conducted to assess the phytodiversity distribution in relation to altitudinal gradient in Salma Mountains, a naturally protected habitat in Ha'il region in the north of Saudi Arabia. Seventeen (17) sampling sites covering three altitudinal zones (i.e. valley, foot and top mountain) were randomly selected within the study area. Within each site and altitudinal zone, the floristic composition and the potential plant species of economic values were assessed and evaluated. A total number of 163 plant species belong to 101 genera and 41 families were identified in this study. Their economic values were also classified into forage (32%), edible (8.7%), medicinal (21.3%), ornamental (30.7%), weeds (18%) and rare species (14%). In addition, results obtained from different altitudinal zones of Salma Mountains, showed that 24 species were spread in the adjacent valley to the mountains, where 32 species spreading at the foot of the mountains and 40 found occupying the top of the mountains. The rest of species have been found to occupy larger geographical distribution in all altitudinal parts. Across the altitudinal gradients, species richness has been found to be consistent with a monotonically increasing pattern with a high richness at high altitudes. The current study suggests that such naturally protected ecosystem can provide a refuge for native plant species and serve as seed bank for a future restoration program in Ha'il region and other similar habitats in Saudi Arabia.

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