Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China

2016 ◽  
Vol 35 (6) ◽  
pp. 1398-1408 ◽  
Author(s):  
Yang Zheng ◽  
Ge Yu
Keyword(s):  
Influencing Factors ◽  
Vegetation Index ◽  
Jiaozhou Bay ◽  
Temporal Distribution ◽  
Spatio Temporal

Spatio-temporal distribution of NDVI and its influencing factors in China

2021 ◽  
pp. 127129
Author(s):  
Haoyu Jin ◽  
Xiaohong Chen ◽  
Yuming Wang ◽  
Ruida Zhong ◽  
Tongtiegang Zhao ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Temporal Distribution ◽  
Spatio Temporal

Are non-loricate ciliates a primary contributor to ecological pattern of planktonic ciliate communities? A case study in Jiaozhou Bay, northern China

2012 ◽  
Vol 92 (6) ◽  
pp. 1301-1308 ◽  
Author(s):  
Yong Jiang ◽  
Wei Zhang ◽  
Mingzhuang Zhu ◽  
Khaled A. S. Al-Rasheid ◽  
Henglong Xu
Keyword(s):  
Jiaozhou Bay ◽  
Northern China ◽  
Temporal Variations ◽  
Species Number ◽  
Protozoan Community ◽  
Planktonic Ciliate ◽  
Spatio Temporal ◽  
Soluble Reactive Phosphorous ◽  
Ecological Pattern

The contribution of non-loricate ciliate assemblage to the ecological pattern of a ciliated protozoan community was studied based on a 1-year (June 2007–May 2008) dataset collected from Jiaozhou Bay, northern China. Samples were collected biweekly from five sampling sites. Results showed that: (1) the non-loricate ciliate assemblages were the primary components and significantly correlated with the total ciliate communities in terms of species number, abundance and biomass; (2) the ecological pattern of non-loricate ciliate assemblages was significantly related to that of both total ciliate communities and variations in environmental variables; and (3) spatio-temporal variations in biodiversity (richness, diversity and evenness of species) indices of non-loricate ciliate assemblages were significantly correlated with those of total ciliate communities and the environmental conditions, especially nutrients nitrate nitrogen, nitrite nitrogen and soluble reactive phosphorous. These results suggest that the non-loricate ciliates are a primary contributor to the ecological pattern of total ciliate communities and might be used as a potential bioindicator for bioassessment in marine ecosystems.

scholarly journals Bycatch: complementary information for understanding fish behaviour. Namibian Cape hake (M. capensis and M. paradoxus) as a case study

2006 ◽  
Vol 63 (8) ◽  
pp. 1513-1519 ◽  
Author(s):  
Ana Gordoa ◽  
Heinrich Lesch ◽  
Silvia Rodergas
Keyword(s):  
Negative Relationship ◽  
Temporal Distribution ◽  
Horse Mackerel ◽  
Sample Data ◽  
Strong Negative Relationship ◽  
Different Depths ◽  
Spatio Temporal ◽  
Catch Rates ◽  
Informative Component

Abstract To identify spatio-temporal distribution in Namibian Cape hake (M. paradoxus and M. capensis), incidental hake catch by the horse mackerel fleet and targeted catch by the hake fleet were analysed for the period 1999–2004. The targeted catch, 45 955 fishing days, came from hake fishery logbooks and the incidental catch, 24 689 trawls, from observers' sample data collected aboard vessels of the horse mackerel fleet. A strong negative relationship between monthly catch rates (cpue) and bycatch was observed, confirming that the seasonal change in catchability is caused by differences in hake vertical dispersion. The October trends were an exception: both cpue and bycatch were negative. A drop in catchability at different depths of the fishing grounds indicates that M. capensis migrates to shallower water (<200 m) at the peak of spawning. Although there was no significant relationship between annual catch rates and bycatch, probably because of the short length of the time-series, annual bycatch should not be discarded as an indicator of hake recruitment. The results highlight the potential informative component of bycatch in identifying population patterns that cannot be extracted from the targeted catch.

The spatio-temporal distribution and risk factors of thyroid cancer during rapid urbanization–A case study in China

2018 ◽  
Vol 630 ◽  
pp. 1436-1445 ◽  
Author(s):  
Xufeng Fei ◽  
Wanzhen Chen ◽  
Shuqing Zhang ◽  
Qingmin Liu ◽  
Zhonghao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Thyroid Cancer ◽  
Temporal Distribution ◽  
Rapid Urbanization ◽  
Spatio Temporal

Spatio-temporal distribution of construction and demolition (C&D) waste disposal on wetlands: A case study

2015 ◽  
Vol 49 ◽  
pp. 43-52 ◽  
Author(s):  
John Staunton ◽  
Chris D. Williams ◽  
Liam Morrison ◽  
Tiernan Henry ◽  
Gerard T.A. Fleming ◽  
...  
Keyword(s):  
Waste Disposal ◽  
Temporal Distribution ◽  
Spatio Temporal

scholarly journals Estimation of spatio-temporal distribution of precipitable water using MODIS and AVHRR data: a case study for Cyprus

2011 ◽  
Vol 30 ◽  
pp. 23-29 ◽  
Author(s):  
D. Hadjimitsis ◽  
Z. Mitraka ◽  
I. Gazani ◽  
A. Retalis ◽  
N. Chrysoulakis ◽  
...  
Keyword(s):  
Near Infrared ◽  
Temporal Distribution ◽  
Grid Cell ◽  
Precipitable Water ◽  
Avhrr Data ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Spatio Temporal ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. In this paper, the atmospheric precipitable water (PW) over the area of Cyprus was estimated by means of Advanced Very High Resolution Radiometer (AVHRR) thermal channels brightness temperature difference (ΔT). The AVHRR derived ΔT was calculated in a grid of 5 × 5 km cells; the corresponding PW value in each grid cell was extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) Level 2 product (near-infrared algorithm). Once the PW – ΔT relationship coefficients corresponding to the area of Cyprus were calculated, the relationship was applied to AVHRR data for one month period. Radiosonde derived PW values, as well as MODIS independent PW values were used to validate the estimations and a good agreement was noted.

scholarly journals Service Efficiency of Nursing Homes Based on DEA and Tobit Model: a Longitudinal Study in China

2021 ◽  
Author(s):  
Liangwen Zhang ◽  
Ying Han ◽  
Ya Fang
Keyword(s):  
Nursing Homes ◽  
Social Workers ◽  
Influencing Factors ◽  
Rapid Development ◽  
Temporal Distribution ◽  
Tobit Model ◽  
Eastern Region ◽  
Reform Implementation ◽  
Care Services ◽  
Spatio Temporal

Abstract Background: Low utilization of care resources in China continues to be a challenging problem even though the rapid development of pension services. However, few studies have explored the utilization of care services with either the production of nursing homes at a national and longitudinal level. Methods: The present study analyzes the spatio-temporal distribution of TE and productivity of nursing homes by using the data from China Civil Affairs statistical yearbook (2012-2016). Analysis was conducted based on the Data Envelopment Analysis and Tobit model, which have been widely applied to integrate several quality measures as a comprehensive benchmark. Results: The average TE, PTE and SE of nursing homes were 0.909. 0.928 and 0.979 from 2012 to 2016, respectively. The TE and SE decreased from 2012 to 2014, but improved after 2014. TE is 0.98 in the Eastern region, 0.93 of that in the Central region and 0.91 of that in the Western region, with a decrease range of 2%, 7% and 9%, respectively. The average improvement range of the five input indexes of the non-DEA effective nursing homes was 27.26%, 20.62%, 19.77%, 22.04%, and 38.84%, respectively. The influencing factors of efficiency value of nursing homes indicated that if there are more social workers, more patients in the nursing homes, and more employees who are aged 56 and above, the TE and productivity of nursing homes will be higher.Conclusion: We find that TE of nursing homes in Western regions are all at the lowest, as the current facilities can neither provide equitable nor optimal access and utilization. The decline of the efficiency and productivity before the healthcare reform implementation in 2014 was significant, where the influencing factors could be age and gender of employees, the number of social workers, and older people. Finally, suggestions are put forward for improving the efficiency of allocation and utilization of care services.

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