Uptake and transformation of steroid estrogens as emerging contaminants influence plant development

Adeel, Muhammad; Yang, Yuesuo; Wang, Y.Y.; Song, Xiaoming; Ahmad, Mukhtar; Rogers, Hilary J.

doi:10.1016/j.envpol.2018.09.016

Cited by 58 publications

(21 citation statements)

References 37 publications

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“…Among them, the cost of pesticide of summer corn and summer peanut increased by 91.5 yuan per ha and 196.5 yuan per ha, respectively, and the cost of fertilizer increased by 690 yuan per ha and 1063.5 yuan per ha respectively. This is consistent with the related research [34,35].…”

Section: Analysis Of Index Benefitsupporting

confidence: 94%

An Optimized Cloud Model Algorithm Adapted to Comprehensive Benefit Evaluation of Water-Saving Irrigation

Liu¹,

Wu²,

Song-mei³

et al. 2021

Pol. J. Environ. Stud.

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The comprehensive benefit evaluation of water-saving irrigation in the irrigated areas is a complex and dynamic evaluation system. According to the characteristics of randomness and fuzziness of the system, an optimized cloud model algorithm for the comprehensive benefit evaluation of water-saving irrigation in the irrigated areas was constructed, and the calculation of the weight cloud model was optimized. At the same time, taking Yahekou as the research area, an evaluation system considering the ecological, economic, and social benefits was established, and the comprehensive benefits of watersaving irrigation in this area were evaluated with the optimization algorithm. The results showed that the comprehensive benefit of water-saving irrigation in the Yahekou irrigated area was evaluated as grade II "good" , selecting the Normal-Water-Level-Year as a typical year, following the life cycle of winter wheat-summer maize rotation mode as the time scale. The optimization algorithm not only ensures the accuracy of evaluation results but also takes into account the uncertainty of each index factor. It opens up a new way for the comprehensive benefit evaluation of water-saving irrigation in the

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Section: Analysis Of Index Benefitsupporting

confidence: 94%

An Optimized Cloud Model Algorithm Adapted to Comprehensive Benefit Evaluation of Water-Saving Irrigation

Liu¹,

Wu²,

Song-mei³

et al. 2021

Pol. J. Environ. Stud.

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“…This situation is expected to be more adverse in developing nations [ 16 ]. Climate change has direct effect on the survival, distribution, development [ 17 , 18 ] and abundance of living organisms [ 19 – 21 ]. Arthropods are ideal organisms for determining biodiversity.…”

Section: Introductionmentioning

confidence: 99%

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

et al. 2022

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Climate change has been discussed as to exert shifts in geographical range of plants, animals or insect species by increasing, reducing or shifting its appropriate climatic habitat. Globally, Pakistan has been ranked at 5th position on the list of countries most vulnerable to climate change in 2020. Climate change has resulted in the losses of biodiversity and alteration in ecosystem as a result of depletion of natural habitats of species in Pakistan as well as in the world. Ants have been regarded as indicators of environmental change and ecosystem processes. Brachyponera nigrita (Emery, 1895) was reported for the first time from Pakistan (Pothwar region). Objective of our studies was to model geographic distribution of newly recorded ant species, B. nigrita based on two representative concentration pathways (RCP) (RCP4.5 and RCP8.5) for 2050s using maximum entropy model (Maxent) in Pakistan. In modeling procedure, 21occurrence records and 8 variables namely Bio4 (Temperature seasonality), Bio8 (Mean temperature of wettest quarter), Bio10 (Mean temperature of warmest quarter), Bio12 (Annual precipitation), Bio13 (Precipitation of wettest month), Bio15 (Precipitation seasonality), Bio17 (Precipitation of driest quarter) and Bio18 (Precipitation of warmest quarter) were used to determine the current and future distributions. Performance of the model was evaluated using AUC (area under curves) values, partial ROC, omission rates (E = 5%) and AICc (Model complexity).The results showed the average AUC value of the model was 0.930, which indicated that the accuracy of the model was excellent. The jackknife test also showed that Bio4, Bio18, Bio17 and Bio15 contributed 98% for the prediction of potential distribution of the species as compared to all other variables. Maxent results indicated that distribution area of B. nigrita under future predicted bioclimatics 2050 (RCP 4.5 and RCP8.5) would be increased in various localities of Pakistan as compared to its current distribution. In Pothwar region, moderately suitable and highly suitable areas of this species would increase by 505.932321km2and 572.118421km2as compared to current distribution under 2050 (RCP 4.5), while under 2050 (RCP 8.5), there would be an increase of 6427.2576km2and 3765.140493km2 respectively in moderately suitable and highly suitable areas of B. nigrita. This species was associated with termites, collembolans and larval stages of different insects. White eggs, creamy white pupae and many workers of this species were observed in a variety of habitats. Unknown nesting ecology, species identification characters supported with micrographs has been given which will help researchers for further ecological studies.

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“…They also suggested, based on the results, that PS NPs can accumulate in the flowers and fruits of cucumber plants. Another possible pathway for plastic entry into the plant leaf is through the stomata via foliar application [180]. Sun et al [46] revealed that stomatal uptake is one possible pathway for NPs into the leaves and then moves to the vasculature.…”

Section: Transport Of Plastic In Root Tissuementioning

confidence: 99%

Uptake and Accumulation of Nano/Microplastics in Plants: A Critical Review

et al. 2021

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The ubiquitous presence of microplastics (MPs) and nanoplastics (NPs) in the environment is an undeniable and serious concern due to their higher persistence and extensive use in agricultural production. This review highlights the sources and fate of MPs and NPs in soil and their uptake, translocation, and physiological effects in the plant system. We provide the current snapshot of the latest reported studies with the majority of literature spanning the last five years. We draw attention to the potential risk of MPs and NPs in modern agriculture and their effects on plant growth and development. We also highlight their uptake and transport pathways in roots and leaves via different exposure methods in plants. Conclusively, agricultural practices, climate changes (wet weather and heavy rainfall), and soil organisms play a major role in transporting MPs and NPs in soil. NPs are more prone to enter plant cell walls as compared to MPs. Furthermore, transpiration pull is the dominant factor in the plant uptake and translocation of plastic particles. MPs have negligible negative effects on plant physiological and biochemical indicators. Overall, there is a dire need to establish long-term studies for a better understanding of their fate and associated risks mechanisms in realistic environment scenarios for safe agricultural functions.

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Uptake and transformation of steroid estrogens as emerging contaminants influence plant development

Cited by 58 publications

References 37 publications

An Optimized Cloud Model Algorithm Adapted to Comprehensive Benefit Evaluation of Water-Saving Irrigation

An Optimized Cloud Model Algorithm Adapted to Comprehensive Benefit Evaluation of Water-Saving Irrigation

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

Uptake and Accumulation of Nano/Microplastics in Plants: A Critical Review

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