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Abdelgadir, M., Alharbi, R., AlRashidi, M., Alatawi, A. S., Sjöling, S. & Dinnétz, P. (2023). Distribution of denitrifiers predicted by correlative niche modeling of changing environmental conditions and future climatic scenarios across the Baltic Sea. Ecological Informatics, 78, Article ID 102346.
Open this publication in new window or tab >>Distribution of denitrifiers predicted by correlative niche modeling of changing environmental conditions and future climatic scenarios across the Baltic Sea
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2023 (English)In: Ecological Informatics, ISSN 1574-9541, E-ISSN 1878-0512, Vol. 78, article id 102346Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Climate change, Benthic conditions, Ensemble modeling, Habitat suitability, Machine-learning, Multi-collated variables
National Category
Environmental Sciences
Research subject
Environmental Studies; Baltic and East European studies
Identifiers
urn:nbn:se:sh:diva-52629 (URN)10.1016/j.ecoinf.2023.102346 (DOI)001109366700001 ()2-s2.0-85176443244 (Scopus ID)
Funder
The Foundation for Baltic and East European Studies, 77/2017
Available from: 2023-11-07 Created: 2023-11-07 Last updated: 2023-12-18Bibliographically approved
Broman, E., Abdelgadir, M., Bonaglia, S., Forsberg, S. C., Wikström, J., Gunnarsson, J. S., . . . Sjöling, S. (2023). Long-Term Pollution Does Not Inhibit Denitrification and DNRA by Adapted Benthic Microbial Communities. Microbial Ecology, 86, 2357-2372
Open this publication in new window or tab >>Long-Term Pollution Does Not Inhibit Denitrification and DNRA by Adapted Benthic Microbial Communities
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2023 (English)In: Microbial Ecology, ISSN 0095-3628, E-ISSN 1432-184X, Vol. 86, p. 2357-2372Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Baltic Sea, Chlorinated dibenzofurans, Dioxins, Metagenome, Nitrogen cycling, Sediment
National Category
Microbiology
Research subject
Environmental Studies; Baltic and East European studies
Identifiers
urn:nbn:se:sh:diva-51571 (URN)10.1007/s00248-023-02241-7 (DOI)000994100600004 ()37222807 (PubMedID)2-s2.0-85160251009 (Scopus ID)
Funder
The Foundation for Baltic and East European Studies, 77/2017Swedish Environmental Protection Agency, 2020–0002Swedish Geotechnical Institute, 1.1–1602-0106
Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2023-11-24Bibliographically approved
AlRashidi, M., Abdelgadir, M. & Shobrak, M. (2021). Habitat selection by the Spiny-tailed lizard (Uromastyx aegyptia): A view from spatial analysis. Saudi Journal of Biological Sciences, 28(9), 5034-5041
Open this publication in new window or tab >>Habitat selection by the Spiny-tailed lizard (Uromastyx aegyptia): A view from spatial analysis
2021 (English)In: Saudi Journal of Biological Sciences, ISSN 1319-562X, Vol. 28, no 9, p. 5034-5041Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2021
Keywords
Spatial regression, Distance analysis, Burrow parameters, Hail region
National Category
Ecology
Identifiers
urn:nbn:se:sh:diva-45533 (URN)10.1016/j.sjbs.2021.05.020 (DOI)000687307300001 ()34466079 (PubMedID)2-s2.0-85110422502 (Scopus ID)
Available from: 2021-06-04 Created: 2021-06-04 Last updated: 2022-11-03Bibliographically approved
Mseddi, K., Alghamdi, A., Abdelgadir, M., Sharawy, S., Chaieb, M. & Miller, T. (2021). Phytodiversity distribution in relation to altitudinal gradient in Salma Mountains – Saudi Arabia. Global Ecology and Conservation, 27, Article ID e01525.
Open this publication in new window or tab >>Phytodiversity distribution in relation to altitudinal gradient in Salma Mountains – Saudi Arabia
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2021 (English)In: Global Ecology and Conservation, ISSN 2351-9894, Vol. 27, article id e01525Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2021
Keywords
Altitudinal gradient, Pattern, Phytodiversity, Salma Mountains, Species richness
National Category
Ecology
Identifiers
urn:nbn:se:sh:diva-44638 (URN)10.1016/j.gecco.2021.e01525 (DOI)000663456000007 ()2-s2.0-85102451683 (Scopus ID)
Available from: 2021-03-26 Created: 2021-03-26 Last updated: 2021-07-07Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5636-3957

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