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Author |
Zhen, J.; Pei, T.; Xie, S. |
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Title |
Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil |
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Journal Article |
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Year |
2019 |
Publication |
The Science of the Total Environment |
Abbreviated Journal |
Sci Total Environ |
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Volume  |
659 |
Issue |
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Pages |
363-371 |
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Keywords |
Remote Sensing |
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Abstract |
The spatial distribution of potentially toxic metals (PTMs) has been shown to be related to anthropogenic activities. Several auxiliary variables, such as those related to remote sensing data (e.g. digital elevation models, land use, and enhanced vegetation index) and soil properties (e.g. pH, soil type and cation exchange capacity), have been used to predict the spatial distribution of soil PTMs. However, these variables are mostly focused on natural processes or a single aspect of anthropogenic activities and cannot reflect the effects of integrated anthropogenic activities. Nighttime lights (NTL) images, a representative variable of integrated anthropogenic activities, may have the potential to reflect PTMs distribution. To uncover this relationship and determine the effects on evaluation precision, the NTL was employed as an auxiliary variable to map the distribution of PTMs in the United Kingdom. In this study, areas with a digital number (DN)>/=50 and an area>30km(2) were extracted from NTL images to represent regions of high-frequency anthropogenic activities. Subsequently, the distance between the sampling points and the nearest extracted area was calculated. Barium, lead, zinc, copper, and nickel concentrations exhibited the highest correlation with this distance. Their concentrations were mapped using distance as an auxiliary variable through three different kriging methods, i.e., ordinary kriging (OK), cokriging (CK), and regression kriging (RK). The accuracy of the predictions was evaluated using the leave-one-out cross validation method. Regardless of the elements, CK and RK always exhibited lower mean absolute error and root mean square error, in contrast to OK. This indicates that using the NTL as the auxiliary variable indeed enhanced the prediction accuracy for the relevant PTMs. Additionally, RK showed superior results in most cases. Hence, we recommend RK for prediction of PTMs when using the NTL as the auxiliary variable. |
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State Key Laboratory of Geological Processes and Mineral Resources(GPMR), Faculty of Earth Sciences, China University of Geosciences, Wuhan, 430074, China |
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0048-9697 |
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PMID:30599355 |
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no |
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GFZ @ kyba @ |
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2494 |
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Rabstein, S.; Burek, K.; Lehnert, M.; Beine, A.; Vetter, C.; Harth, V.; Putzke, S.; Kantermann, T.; Walther, J.; Wang-Sattler, R.; Pallapies, D.; Brüning, T.; Behrens, T. |
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Title |
Differences in twenty-four-hour profiles of blue-light exposure between day and night shifts in female medical staff |
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Journal Article |
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Year |
2019 |
Publication |
Science of The Total Environment |
Abbreviated Journal |
Science of The Total Environment |
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Volume |
653 |
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Pages |
1025-1033 |
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Keywords |
Human Health |
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Abstract |
Light is the strongest zeitgeber currently known for the synchronization of the human circadian timing system. Especially shift workers are exposed to altered daily light profiles. Our objective is the characterization of differences in blue-light exposures between day and night shift taking into consideration modifying factors such as chronotype. We describe 24-hour blue-light profiles as measured with ambient light data loggers (LightWatcher) during up to three consecutive days with either day or night shifts in 100 female hospital staff including 511 observations. Linear mixed models were applied to analyze light profiles and to select time-windows for the analysis of associations between shift work, individual factors, and log mean light exposures as well as the duration of darkness per day. Blue-light profiles reflected different daily activities and were mainly influenced by work time. Except for evening (7–9 p.m.), all time windows showed large differences in blue-light exposures between day and night shifts. Night work reduced the duration of darkness per day by almost 4 h (beta = −3:48 hh:mm, 95% CI (−4:27; −3.09)). Late chronotypes had higher light exposures in the morning and evening compared to women with intermediate chronotype (e.g. morning beta = 0.50 log(mW/m2/nm), 95% CI (0.08; 0.93)). Women with children had slightly higher light exposures in the afternoon than women without children (beta = 0.48, 95% CI (−0.10; 1,06)). Time windows for the description of light should be chosen carefully with regard to timing of shifts. Our results are helpful for future studies to capture relevant light exposure differences and potential collinearities with individual factors. Improvement of well-being of shift workers with altered light profiles may therefore require consideration of both – light at the workplace and outside working hours. |
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0048-9697 |
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GFZ @ kyba @ |
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2139 |
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Duan, H.; Cao, Z.; Shen, M.; Liu, D.; Xiao, Q. |
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Detection of illicit sand mining and the associated environmental effects in China's fourth largest freshwater lake using daytime and nighttime satellite images |
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Journal Article |
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Year |
2019 |
Publication |
Science of The Total Environment |
Abbreviated Journal |
Science of The Total Environment |
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Volume |
647 |
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606-618 |
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Keywords |
Remote Sensing; Regulation |
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Illegal sand mining activities are rampant in coastal and inland water around the world and result in increased water turbidity, reduced water transparency, damage to fish spawning sites and adverse effects on the health of aquatic ecosystems. However, many sand dredging vessels hide during the day and work at night, rendering conventional monitoring measures ineffective. In this study, illegal sand dredging activities and the associated aquatic environmental effects were investigated in Lake Hongze (the fourth largest freshwater lake in China) using both conventional daytime satellite data, including MODIS/Aqua and Landsat TM/ETM data as well as VIIRS Day/Night Band (DNB) nighttime light (NTL) data, the following results were obtained. (1) The Landsat data revealed that sand dredging vessels first appeared in February 2012 and their number (monthly average: 658) peaked in 2016, and sand dredging stopped after March 2017. (2) The VIIRS NTL data were satisfactory for monitoring nighttime illegal dredging activities, and they more accurately reflected the temporal and spatial distribution characteristics of dredging vessels due to their high frequency. (3) Observations from the MODIS data acquired since 2002 showed three distinct stages of changes in the suspended particulate matter (SPM) concentrations of Lake Hongze that were consistent with the temporal distributions of sand dredging vessels. (4) The contribution of dredging vessels to the increases in SPM concentration was quantitatively determined, and nighttime sand dredging activities were found to have disturbed the waters more significantly. (5) The effectiveness of government measures implemented at various stages to control illegal sand dredging activities were scientifically evaluated. This study provides technological support for government monitoring and the control of illegal sand dredging activities and can serve as a valuable reference for water bodies similar to Lake Hongze worldwide. The evaluation method developed in this study could potentially be applied at a global scale. |
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GFZ @ kyba @ |
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1970 |
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Langbehn, T.; Aksnes, D.; Kaartvedt, S.; Fiksen, Ø.; Jørgensen, C. |
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Title |
Light comfort zone in a mesopelagic fish emerges from adaptive behaviour along a latitudinal gradient |
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Journal Article |
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Year |
2019 |
Publication |
Marine Ecology Progress Series |
Abbreviated Journal |
Mar. Ecol. Prog. Ser. |
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Volume |
623 |
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Pages |
161-174 |
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Keywords |
Animals; Moonlight |
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Abstract |
Throughout the oceans, small fish and other micronekton migrate between daytimedepths of several hundred meters and near-surface waters at night. These diel vertical migrationsof mesopelagic organisms structure pelagic ecosystems through trophic interactions, and are akey element in the biological carbon pump. However, depth distributions and migration ampli-tude vary greatly. Suggested proximate causes of the migration such as oxygen, temperature, andlight often correlate and therefore the causal underpinnings have remained unclear. Using meso-pelagic fishes and the Norwegian Sea as a study system, we developed a dynamic state variablemodel that finds optimal migration patterns that we validate with acoustic observations along alatitudinal gradient. The model describes predation risk and bioenergetics, and maximizes ex -pected energy surplus, a proxy for Darwinian fitness. The model allows us to disentangle the driv-ers of migration and make predictions about depth distribution and related fitness consequencesalong a latitudinal trajectory with strong gradients in environmental drivers and vertical distribu-tion of scattering layers. We show that the model-predicted vertical migration of mesopelagicfishes matches that observed along this transect. For most situations, modelled mesopelagic fishbehaviour can be well described by a light comfort zone near identical to that derived from obser-vations. By selectively keeping light or temperature constant, the model reveals that temperature,in comparison with light, has little effect on depth distribution. We find that water clarity, whichlimits how deeply light can penetrate into the ocean, structures daytime depths, while surfacelight at night controlled the depth of nocturnal ascents. |
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0171-8630 |
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GFZ @ kyba @ |
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2598 |
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Author |
Maggi, E.; Benedetti-Cecchi, L. |
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Title |
Trophic compensation stabilizes marine primary producers exposed to artificial light at night |
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Journal Article |
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2018 |
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Marine Ecology Progress Series |
Abbreviated Journal |
Mar. Ecol. Prog. Ser. |
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606 |
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1-5 |
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Keywords |
Plants; Animals; Ecology |
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Abstract |
Artificial light at night (ALAN) is a widespread phenomenon along coastal areas. Despite increasing evidence of pervasive effects of ALAN on patterns of species distribution and abundance, the potential of this emerging threat to alter ecological processes in marine ecosystems has remained largely unexplored. Here, we show how exposure to white LED lighting, comparable to that experienced along local urbanized coasts, significantly enhanced the impact of grazing gastropods on epilithic microphytobenthos (MPB). ALAN increased both the photosynthetic biomass of MPB and the grazing pressure of gastropods, such that consumers compensated for the positive effect of night lighting on primary producers. Our results indicate that trophic interactions can provide a stabilizing compensatory mechanism against ALAN effects in natural food webs. |
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0171-8630 |
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GFZ @ kyba @ |
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2063 |
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