The concurrently occurring multiple abiotic stresses like salinity and heavy metals (Nickel) pose a serious threat to plant survival and food security worldwide, especially in the face of climate change. Therefore, it is imperative to continuously test and study the plant's physiological changes under combinations of abiotic stresses to ensure sustainability and food security. An experiment was conducted to study the interactive effects of salinity (0, 7.5, and 15 dS m

10.1080/15226514.2024.2438772

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Biosorption and health risk assessment of arsenic contaminated water through cotton stalk biochar

Surfaces and Interfaces (2022)

Iftikhar Ahmad Umme Farwa Zia Ul Haq Khan Muhammad Imran Muhammad Shafique Khalid

Biosorption

Langmuir adsorption model

10.1016/j.surfin.2022.101806

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Citations (23)

Modeling Carbon Stock Dynamics for Land Use/Land Cover Types in Gilgit-Biltistan Using InVEST Models and Sentinel-2 Data

SSRN Electronic Journal (2019)

Muhammad Imran

Geospatially assessing carbon storage by mountain ecosystems is an emerging field in land science and landscape ecology, particularly in the context of the provision of ecosystem services such as global climate regulation. This paper aims to assess status and spatial variations in the net amount and economic value of carbon stocked by the different land use/land cover (LULC) classes in Bagrote valley, Gilgit-Baltistan. To achieve this, we used the InVEST carbon and sequestration model with the LULC types identified through the object-based classification of the sentinel-2 imagery. The results show that the carbon mainly stocked in 6 forest types out of a total of 14 LULC classes. Total carbon stock in the valley is 8114.10 TgC in 2016. The dense conifer forests are the major contributor with 5409.16 TgC. Economic value of carbon storage is approximately 74728US\$/ha of the study area. The proposed modeling method can be used to reflect carbon storage in different LULC types and their effects on ecosystem services at the landscape level. The research output helps policymakers to simulate the ecosystem carbon storage and its trade-offs for various environmental and economic goals.

Land Cover

Stock (firearms)

Source

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Nickel Toxicity Induced Changes in Nutrient Dynamics and Antioxidant Profiling in Two Maize (Zea mays L.) Hybrids

Plants (2019)

Muhammad Amjad Raza Hasan Behzad Murtaza Ghulam Abbas Muhammad Imran

Abstract: Nickel (Ni) is among the essential micronutrient heavy metals utilized by plants. However, an elevated level of Ni causes serious concerns for plants' physiology and their survival. This study evaluated the mechanisms influencing the growth, physiology, and nutrient dynamics in two commercial maize hybrids (Syngenta and Pioneer) exposed to Ni treatments in hydroponics nutrient solution (NS). Seedlings were raised in plastic trays with quartz sand, and subsequently transferred to Hoagland's NS at the two leaves stage. After three days of transplantation, Ni levels of 0, 20, and 40 mg L-1 were maintained in the nutrient solution. After 30 days of Ni treatments, seedlings were harvested and different growth, physiological, and nutrient concentrations were determined. The results showed that with increasing Ni concentration, the growth of maize hybrids was significantly reduced, and the maize hybrid, Pioneer, showed significantly higher growth than that of Syngenta at all levels of Ni. Higher growth in Pioneer is ascribed to elevated levels of antioxidant enzymes (SOD, CAT, GR, APX, and POX), lower damage to cellular membranes (i.e., higher MSI and lower MDA), and higher tissue nutrient concentrations (N, P, K, Ca, Mg, Fe, Mn, Zn, and Cu). Furthermore, the maize hybrids showed a difference in nutrient translocation from root to shoot which could be one of the factors responsible for differential response of these hybrids against Ni treatments.

10.3390/plants9010005

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Compositional and health risk assessment of drinking water from health facilities of District Vehari, Pakistan

Environmental Geochemistry and Health (2019)

Behzad Murtaza Natasha Natasha Muhammad Amjad Muhammad Shahid Muhammad Imran

Hazard quotient

Maximum Contaminant Level

Health Risk Assessment

10.1007/s10653-019-00465-6

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Citations (33)