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  1. Article ; Online: Factors controlling the spatial distribution of soil organic carbon in the Chinese medicine producing area of NW China1

    Mingzhu He / Liang Tang / Chengyi Li / Jianxin Ren

    Frontiers in Soil Science, Vol

    2022  Volume 2

    Abstract: Soil organic carbon is an important factor for the cultivation and production of traditional Chinese medicine. This study aimed to reveal the spatial distribution of the soil organic carbon density (SOCD) and the effects of the climatic and topographic ... ...

    Abstract Soil organic carbon is an important factor for the cultivation and production of traditional Chinese medicine. This study aimed to reveal the spatial distribution of the soil organic carbon density (SOCD) and the effects of the climatic and topographic factors in Longxi County (Gansu Province, China). The soil organic carbon (SOC) from 200 sampling points were collected and analyzed in 2018. Results showed that the total SOCD was 26.7 ± 10.2 Mg ha-1, while the SOCDs at a soil depth of 0–10, 10–30, and 30–50 cm were 6.3 ± 1.7, 11.0 ± 3.8, and 9.3 ± 4.8 Mg ha-1, respectively. The temperature, precipitation, elevation, and stream power index showed significant correlations with the SOCD at each soil layer. With an increasing soil depth, the correlation between the slope, relief amplitude, surface roughness, and SOCD gradually decreased. From the central plains to the mountainous areas, the SOCD increased with rising elevation, while the valley plain that formed by the river basin showed low levels of SOCD. Therefore, the scientific management of soil fertility and the development of precision agriculture, combined in a soil testing fertilization formula, will guarantee the healthy development of the Chinese herbal medicine planting.
    Keywords climate conditions ; geostatistical analysis ; human activity ; soil profile ; soil organic carbon storage ; topographic feature ; Chemistry ; QD1-999 ; Engineering geology. Rock mechanics. Soil mechanics. Underground construction ; TA703-712
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology

    Liang Tang / Mingzhu He / Xinrong Li

    Remote Sensing, Vol 12, Iss 1742, p

    2020  Volume 1742

    Abstract: Desertification control and scientific evaluation of desert ecosystem sustainability are important issues for countries along the Silk Road Economic Belt. Fractional vegetation coverage (FVC) is used as a quantitative indicator to describe the vegetation ...

    Abstract Desertification control and scientific evaluation of desert ecosystem sustainability are important issues for countries along the Silk Road Economic Belt. Fractional vegetation coverage (FVC) is used as a quantitative indicator to describe the vegetation coverage of desert ecosystems. Although satellite remote sensing technology has been widely used to retrieve FVC at the regional and global scale, the authenticity evaluation of the inversion results has been flawed. To gain insight into the composition, structure and changes of desert vegetation, it is important to assess the accuracy of FVC and explore the relationship between FVC and meteorological factors. Therefore, we adopted unmanned aerial vehicle remote sensing (UAVRS) technology to verify the inversion results and analyse the practicability of MODIS-NDVI (where NDVI = normalized difference vegetation index) products in desert areas. To provide a new method for the estimation of vegetation coverage in the natural state, the relationships between vegetation coverage and four meteorological factors, namely, land surface temperature, temperature, precipitation and evaporation were analysed. The results showed that using the original MODIS-NDVI data product with a spatial resolution of 250 m to invert vegetation coverage is practical in desert areas (coefficient of determination (R 2 ) = 0.83, root mean square error (RMSE) = 0.052, normalized root mean square error (NRMSE) = 42.94%, mean absolute error (MAE) = 0.007) but underestimates vegetation coverage in the study area. MODIS-NDVI data products are different from the real NDVI in the study area. Correcting MODIS-NDVI data products can effectively improve the accuracy of the inversion. When extracting vegetation coverage in this area, the scale has little effect on the results. There is a significant correlation between precipitation, evaporation and FVC in the area, but the interaction of temperature and land surface temperature with precipitation and evaporation also has a considerable impact on FVC, and evaporation has a substantial impact on FVC values inverted from MODIS-NDVI data (FVC M ), When exploring the relationship between vegetation coverage and meteorological elements, if vegetation coverage is retrieved from MODIS-NDVI data products or MODIS-NDVI data, when considering temperature and precipitation, the effect of evaporation should also be considered. In addition, meteorological factors can be used to predict FVC (R 2 = 0.7364, RMSE = 0.0623), which provides a new method for estimating FVC in areas with less manual intervention.
    Keywords fractional vegetation coverage (FVC) ; NDVI ; unmanned aerial vehicle ; temperature ; precipitation ; desert vegetation ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Variation in biomass and nutrients allocation of Corydalis hendersonii on the Tibetan Plateau with increasing rainfall continentality and altitude

    Qien Li / Richard Michalet / Xiao Guo / Huichun Xie / Mingzhu He

    Ecological Indicators, Vol 132, Iss , Pp 108244- (2021)

    2021  

    Abstract: The Tibetan Plateau is considered as one of most sensitive region to global change. Nutrient (N and P) availability is an important limiting ecological factor in cold terrestrial ecosystems such as the alpine belt of the Tibetan Plateau. We focused on ... ...

    Abstract The Tibetan Plateau is considered as one of most sensitive region to global change. Nutrient (N and P) availability is an important limiting ecological factor in cold terrestrial ecosystems such as the alpine belt of the Tibetan Plateau. We focused on Corydallis hendersonii, an endemic alpine species of the Tibetan Plateau. Exploring the N and P below- and above-ground responses of C. hendersonii to climatic factors is crucial for biodiversity conservation of the alpine Tibetan plateau under global change. We used the Outlying Mean Index and regression analyses to assess N and P stoichiometry and biomass responses in leaves and roots of C. hendersonii along climatic gradients. We found that investment and allocation of nutrient and biomass in C. hendersonii were mainly driven by rainfall continentality. In the eastern less-continental wet area of the Tibetan plateau, C. hendersonii had higher biomass in leaf, and lower N and P investment in roots than in the western more continental dry part. Specifically, 300 mm year−1 Mean annual precipitation (MAP) and ca. 80° Rainfall continentality index (GAMS) were threshold values of climate stress inducing strong nutrient limitation for C. hendersonii across the Tibetan Plateau. Our results suggest that rainfall continentality is the primary climatic driver of variation in biomass and nutrients allocation of C. hendersonii on the Tibetan Plateau. Thus, global warming and drying should induce a decrease in total biomass, a reduction in leaf N and P concentrations and an increase in root/shoot ratio in the alpine region of the Tibetan Plateau.
    Keywords Biomass ; Nutrients ; N:P ; Tibetan Plateaus ; Corydallis hendersonii ; Ecology ; QH540-549.5
    Subject code 550
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Discrepant trends in global land-surface and air temperatures controlled by vegetation biophysical feedbacks

    Fei Kan / Xu Lian / Jiangpeng Cui / Anping Chen / Jiafu Mao / Mingzhu He / Hao Xu / Shilong Piao

    Environmental Research Letters, Vol 18, Iss 12, p

    2023  Volume 124013

    Abstract: Satellite-based land surface temperature (Ts) with continuous global coverage is increasingly used as a complementary measure for air temperature (Ta), yet whether they observe similar temporal trends remains unknown. Here, we systematically analyzed the ...

    Abstract Satellite-based land surface temperature (Ts) with continuous global coverage is increasingly used as a complementary measure for air temperature (Ta), yet whether they observe similar temporal trends remains unknown. Here, we systematically analyzed the trend of the difference between satellite-based Ts and station-based Ta (Ts–Ta) over 2003–2022. We found the global land warming rate inffered from Ts was on average 42.6% slower than that from Ta (Ts–Ta trend: −0.011 °C yr ^−1 , p = 0.06) during daytime of summer. This slower Ts-based warming was attributed to recent Earth greening, which effectively cooled canopy surface through enhancing evapotranspiration and turbulent heat transfer. However, Ts showed faster warming than Ta during summer nighttime (0.015 °C yr ^−1 , p < 0.01), winter daytime (0.0069 °C yr ^−1 , p = 0.08) and winter nighttime (0.0042 °C yr ^−1 , p = 0.16), when vegetation activity is limited by temperature and solar radiation. Our results indicate potential biases in assessments of atmospheric warming and the vegetation-air temperature feedbacks using satellite-observed surface temperature proxies.
    Keywords land surface temperature ; air temperature ; Earth greening ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher IOP Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: A dynamic-leaf light use efficiency model for improving gross primary production estimation

    Lingxiao Huang / Wenping Yuan / Yi Zheng / Yanlian Zhou / Mingzhu He / Jiaxin Jin / Xiaojuan Huang / Siyuan Chen / Meng Liu / Xiaobin Guan / Shouzheng Jiang / Xiaofeng Lin / Zhao-Liang Li / Ronglin Tang

    Environmental Research Letters, Vol 19, Iss 1, p

    2024  Volume 014066

    Abstract: Accurate quantification of terrestrial gross primary production (GPP) is integral for enhancing our understanding of the global carbon budget and climate change. The light use efficiency (LUE) model is undoubtedly the most extensively applied method for ... ...

    Abstract Accurate quantification of terrestrial gross primary production (GPP) is integral for enhancing our understanding of the global carbon budget and climate change. The light use efficiency (LUE) model is undoubtedly the most extensively applied method for GPP estimation. However, the two-leaf (TL)-LUE model using a ‘potential’ sunlit leaf area index (LAI _su ) can separate a portion of LAI _su even when the canopy does not receive any direct radiation, leading to the underestimation of GPP under cloudy and overcast days. Here, we developed a dynamic-leaf (DL) LUE model by introducing an ‘effective’ LAI _su to improve GPP estimation, which considers the comprehensive contribution of LAI _su when the canopy does and does not receive direct radiation. In particular, the new model decreases LAI _su to zero when direct radiation reaches zero. Our evaluation at eight ChinaFLUX sites showed that (1) the DL-LUE model outperformed the most well-known BL-LUE (namely, the MOD17 GPP algorithm) and TL-LUE models in reproducing the daily in situ GPP, especially at four forest sites [reducing the root mean square error (RMSE) from 1.74 g C m ^−2 d ^−1 and 1.53 g C m ^−2 d ^−1 to 1.36 g C m ^−2 d ^−1 and increasing the coefficient of determination ( R ^2 ) from 0.74 and 0.79–0.82, respectively]. Moreover, the improvements were particularly pronounced at longer temporal scales, as indicated by the RMSE decreasing from 29.32 g C m ^−2 month ^−1 and28.11 g C m ^−2 month ^−1 to 25.81 g C m ^−2 month ^−1 at a monthly scale and from 231.82 g C m ^−2 yr ^−1 and 221.60 g C m ^−2 yr ^−1 –200.00 g C m ^−2 yr ^−1 at a yearly scale; (2) the DL-LUE model mitigated the systematic underestimation of the in situ GPP by both the TL-LUE and BL-LUE models when the clearness index (CI) was below 0.5, as indicated by the Bias reductions of 0.25 g C m ^−2 d ^−1 and 0.46 g C m ^−2 d ^−1 , respectively; and (3) the contributions of the shaded GPP to the total GPP from the DL-LUE model were higher by 0.07–0.16 than those from the TL-LUE model across the ...
    Keywords gross primary production ; light use efficiency (LUE) models ; dynamic-leaf LUE model ; big-leaf and two-leaf LUE models ; sunlit and shaded leaves ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
    Subject code 550
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher IOP Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Mapping Grassland Classes Using Unmanned Aerial Vehicle and MODIS NDVI Data for Temperate Grassland in Inner Mongolia, China

    Baoping Meng / Yuzhuo Zhang / Zhigui Yang / Yanyan Lv / Jianjun Chen / Meng Li / Yi Sun / Huifang Zhang / Huilin Yu / Jianguo Zhang / Jie Lian / Mingzhu He / Jinrong Li / Hongyan Yu / Li Chang / Shuhua Yi

    Remote Sensing, Vol 14, Iss 2094, p

    2022  Volume 2094

    Abstract: Grassland classification is crucial for grassland management. One commonly used method utilizes remote sensing vegetation indices (VIs) to map grassland classes at various scales. However, most grassland classifications were conducted as case studies in ... ...

    Abstract Grassland classification is crucial for grassland management. One commonly used method utilizes remote sensing vegetation indices (VIs) to map grassland classes at various scales. However, most grassland classifications were conducted as case studies in a small area due to lack of field data sources. At a small scale, classification is reliable; however, great uncertainty emerges when extended to other areas. In this study, large amounts of field observations (more than 30,000 aerial photos) were obtained using unmanned aerial vehicle photography in Inner Mongolia, China, during the peak period of grassland growth in 2018 and 2019. Then, four machine learning classification algorithms were constructed based on characteristic indices of MODIS NDVI in the growing season to map grassland classes of Inner Mongolia. Finally, the spatial distribution and temporal variation of temperate grassland classes were analyzed. Results showed that: (1) Among all characteristic indices, the maximum, average, and sum of MODIS NDVI from July to September during 2015 to 2019 greatly affected grassland classification. (2) The random forest method exhibited the best performance with overall accuracy and kappa coefficient being 72.17% and 0.62, respectively. (3) Compared with the grassland class mapped in the 1980s, 30.98% of grassland classes have been transformed. Our study provides a technological basis for effective and accurate classification of the temperate steppe class and a theoretical foundation for sustainable development and restoration of the temperate steppe ecosystem.
    Keywords temperate steppe ; grassland classification ; MODIS NDVI ; spatial variation ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Folic acid derived-P5779 mimetics regulate DAMP-mediated inflammation through disruption of HMGB1:TLR4:MD-2 axes.

    Shan Sun / Mingzhu He / Yongjun Wang / Huan Yang / Yousef Al-Abed

    PLoS ONE, Vol 13, Iss 2, p e

    2018  Volume 0193028

    Abstract: High mobility group box 1 (HMGB1) is a damage-associated molecular pattern (DAMP) protein that mediates inflammatory responses after infection or injury. Previously, we reported a peptide inhibitor of HMGB1 (P5779) that acts by directly interrupting ... ...

    Abstract High mobility group box 1 (HMGB1) is a damage-associated molecular pattern (DAMP) protein that mediates inflammatory responses after infection or injury. Previously, we reported a peptide inhibitor of HMGB1 (P5779) that acts by directly interrupting HMGB1/MD-2 binding. Here, fingerprint similarity search and docking studies suggest folic acid derived-drugs function as P5779 mimetopes. Molecular dynamic (MD) simulation studies demonstrate that folic acid mimics the binding of P5779 at the TLR4 and MD-2 intersection. In surface plasmon resonance (SPR) studies, these drugs showed direct binding to TLR4/MD-2 but not HMGB1. Furthermore, these P5779 mimetopes inhibit HMGB1 and MD-2 binding and suppress HMGB1-induced TNF release in human macrophages in the nanomolar range. We assert from our findings that their demonstrated anti-inflammatory effects may be working through TLR4-dependent signaling.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2018-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Multi-Drug Cocktail Therapy Improves Survival and Neurological Function after Asphyxial Cardiac Arrest in Rodents

    Rishabh C. Choudhary / Muhammad Shoaib / Kei Hayashida / Tai Yin / Santiago J. Miyara / Cristina d’Abramo / William G. Heuser / Koichiro Shinozaki / Nancy Kim / Ryosuke Takegawa / Mitsuaki Nishikimi / Timmy Li / Casey Owens / Ernesto P. Molmenti / Mingzhu He / Sonya Vanpatten / Yousef Al-Abed / Junhwan Kim / Lance B. Becker

    Cells, Vol 12, Iss 1548, p

    2023  Volume 1548

    Abstract: Background: Cardiac arrest (CA) can lead to neuronal degeneration and death through various pathways, including oxidative, inflammatory, and metabolic stress. However, current neuroprotective drug therapies will typically target only one of these ... ...

    Abstract Background: Cardiac arrest (CA) can lead to neuronal degeneration and death through various pathways, including oxidative, inflammatory, and metabolic stress. However, current neuroprotective drug therapies will typically target only one of these pathways, and most single drug attempts to correct the multiple dysregulated metabolic pathways elicited following cardiac arrest have failed to demonstrate clear benefit. Many scientists have opined on the need for novel, multidimensional approaches to the multiple metabolic disturbances after cardiac arrest. In the current study, we have developed a therapeutic cocktail that includes ten drugs capable of targeting multiple pathways of ischemia–reperfusion injury after CA. We then evaluated its effectiveness in improving neurologically favorable survival through a randomized, blind, and placebo-controlled study in rats subjected to 12 min of asphyxial CA, a severe injury model. Results: 14 rats were given the cocktail and 14 received the vehicle after resuscitation. At 72 h post-resuscitation, the survival rate was 78.6% among cocktail-treated rats, which was significantly higher than the 28.6% survival rate among vehicle-treated rats (log-rank test; p = 0.006). Moreover, in cocktail-treated rats, neurological deficit scores were also improved. These survival and neurological function data suggest that our multi-drug cocktail may be a potential post-CA therapy that deserves clinical translation. Conclusions: Our findings demonstrate that, with its ability to target multiple damaging pathways, a multi-drug therapeutic cocktail offers promise both as a conceptual advance and as a specific multi-drug formulation capable of combatting neuronal degeneration and death following cardiac arrest. Clinical implementation of this therapy may improve neurologically favorable survival rates and neurological deficits in patients suffering from cardiac arrest.
    Keywords brain injury ; cell death ; cardiac arrest ; cardiopulmonary resuscitation ; cardiopulmonary bypass resuscitation ; ischemic damage ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Impacts of the 2017 flash drought in the US Northern plains informed by satellite-based evapotranspiration and solar-induced fluorescence

    Mingzhu He / John S Kimball / Yonghong Yi / Steve Running / Kaiyu Guan / Kelsey Jensco / Bruce Maxwell / Marco Maneta

    Environmental Research Letters, Vol 14, Iss 7, p

    2019  Volume 074019

    Abstract: Drought is increasing in frequency and severity, exacerbating food and water security risks in an era of continued global warming and human population growth. Here, we analyzed a severe summer drought affecting the US Northern Plains region in 2017. We ... ...

    Abstract Drought is increasing in frequency and severity, exacerbating food and water security risks in an era of continued global warming and human population growth. Here, we analyzed a severe summer drought affecting the US Northern Plains region in 2017. We examined the spatial pattern and seasonal progression of vegetation productivity and water use in the region using satellite-based estimates of field-scale (30 m) cropland evapotranspiration (ET), county level annual crop production statistics, and GOME-2 satellite observations of solar-induced chlorophyll fluorescence (SIF). The cropland ET record shows strong potential to track seasonal cropland water demands spatially, with strong correspondence to regional climate variables in the Northern Plains. The GOME-2 SIF record shows significant but limited correlations with finer scale climate variability due to the coarse sensor footprint, but captured an anomalous regional productivity decline coincident with drought related decreases in crop production and ET. The drought contributed to an overall 25% reduction in cropland ET, 6% decrease in crop production, and 11% reduction in SIF productivity over the region from April to September in 2017 relative to the longer (2008–2017) satellite record. More severely impacted agricultural areas indicated by the US Drought Monitor exceptional drought (D4) category represented 11% of the region and showed much larger anomalous ET (20%–81%) and productivity (11%–73%) declines. The regional pattern of drought impacts indicated more severe productivity and ET reductions in the north central and southern counties with extensive agriculture, and less impact in the western counties of the Northern Plains. This study provides a multiscale assessment of drought related impacts on regional productivity and ET over a crop intensive region, emphasizing the use of global satellite observations capable of informing regional to global scale water and food security assessments.
    Keywords drought ; cropland ; evapotranspiration ; solar-induced fluorescence ; crop production ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
    Subject code 550
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher IOP Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Accumulation of heavy metals in native plants growing on mining-influenced sites in Jinchang: a typical industrial city (China)

    Lu, Yan / Xinrong Li / Mingzhu He / Fanjiang Zeng / Xiangyi Li

    Environmental earth sciences. 2017 July, v. 76, no. 13

    2017  

    Abstract: Such activities as mining, metal ore smelting and the discharging of mining wastes lead to heavy metal contamination. Phytoremediation, including phytoextraction and phytostabilization, has been considered for a long time to be effective in remediating ... ...

    Abstract Such activities as mining, metal ore smelting and the discharging of mining wastes lead to heavy metal contamination. Phytoremediation, including phytoextraction and phytostabilization, has been considered for a long time to be effective in remediating metal-polluted soils. This research assessed the chance of 40 plants (35 species) distributing on mining-influenced sites for phytoremediation purposes. The results showed that total soil Ni, Cu, Cd, Cr and Co concentrations were in the ranges of 107–3045, 116–2580, 7.1–22.7, 115–897 and 23.2–144.3 mg kg⁻¹, respectively, whereas heavy metal contents in plants were in the ranges of 0.60–435.61, 2.41–298.31, 0.03–32.10, 0.08–88.20 and 0.11–28.52 mg kg⁻¹, respectively. Therefore, no species can be used for phytoextraction purposes because no hyperaccumulator was identified. Salsola passerine, Stipa capillata, Cynanchum Chinense and Halogeton glomeratus with translocation factor (TF) > 1 for all five metals were considered to be accumulators. All plants were observed to hold a bioconcentration factor (BCF) < 1, except for Caragana korshinskii, which had a BCF for Cd > 1, reflecting its low metal accumulation potential. Among the species studied, Oxytropis aciphylla, Salix matsudana, Tamarix hispida, Robinia pseudoacacia, Picea crassifolia, Lycium barbarum and Phragmites communis had both a BCF and TF < 1 for all five metals and were considered the most suitable for the phytostabilization of metal-polluted sites.
    Keywords Aciphylla ; Caragana korshinskii ; Cynanchum ; Halogeton glomeratus ; Lycium barbarum ; Oxytropis ; Passeriformes ; Phragmites australis ; Picea crassifolia ; Robinia pseudoacacia ; Salix matsudana ; Salsola ; Stipa ; Tamarix ; bioaccumulation factor ; cadmium ; chromium ; cobalt ; copper ; heavy metals ; hyperaccumulators ; indigenous species ; mining ; nickel ; phytoremediation ; soil ; wastes ; China
    Language English
    Dates of publication 2017-07
    Size p. 446.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 2493699-6
    ISSN 1866-6299 ; 1866-6280
    ISSN (online) 1866-6299
    ISSN 1866-6280
    DOI 10.1007/s12665-017-6779-2
    Database NAL-Catalogue (AGRICOLA)

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