scholarly journals SEASONAL VARIATIONS OF ZOOPLANKTON FUNCTIONAL GROUPS AND RELATIONSHIP WITH ENVIRONMENTAL FACTORS IN A EUTROPHIC RESERVOIR FROM COLD REGION

2019 ◽  
Vol 17 (4) ◽  
Author(s):  
X SUN
Keyword(s):  
Environmental Factors ◽  
Functional Groups ◽  
Seasonal Variations ◽  
Cold Region ◽  
Eutrophic Reservoir

scholarly journals Seasonal variations of chlorophyll a and environmental factors in the coastal area of the Okhotsk Sea, Hokkaido

2018 ◽  
Vol 84 (2) ◽  
pp. 241-253 ◽  
Author(s):  
AKIHIRO SHIOMOTO ◽  
YASUTAKA FUJIMOTO ◽  
NAOYA MIMURA ◽  
AKIHIRO SASAKI ◽  
DAICHI ITOI ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Seasonal Variations ◽  
Coastal Area ◽  
Okhotsk Sea

scholarly journals Environmental Factors and Soil CO2Emissions in an Alpine Swamp Meadow Ecosystem on the Tibetan Plateau in Response to Experimental Warming

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Bin Wang ◽  
Ben Niu ◽  
Xiaojie Yang ◽  
Song Gu
Keyword(s):  
Tibetan Plateau ◽  
Environmental Factors ◽  
Soil Temperature ◽  
Environmental Factor ◽  
Seasonal Variations ◽  
Environmental Control ◽  
The Tibetan Plateau ◽  
Control Mechanisms ◽  
Experimental Warming ◽  
Upward Trend

We examined the response of soil CO2emissions to warming and environmental control mechanisms in an alpine swamp meadow ecosystem on the Tibetan Plateau. Experimental warming treatments were performed in an alpine swamp meadow ecosystem using two open-top chambers (OTCs) 40 cm (OA) and 80 cm (OB) tall. The results indicate that temperatures were increased by 2.79°C in OA and 4.96°C in OB, that ecosystem CO2efflux showed remarkable seasonal variations in the control (CK) and the two warming treatments, and that all three systems yielded peak values in August of 123.6, 142.3, and 166.2 g C m−2 month−1. Annual CO2efflux also showed a gradual upward trend with increased warming: OB (684.1 g C m−2 year−1) > OA (580.7 g C m−2 year−1) > CK (473.3 g C m−2 year−1). Path analysis revealed that the 5 cm depth soil temperature was the most important environmental factor affecting soil CO2emissions in the three systems.

Spatial patterns of leaf δ13C and its relationship with plant functional groups and environmental factors in China

2017 ◽  
Vol 122 (7) ◽  
pp. 1564-1575 ◽  
Author(s):  
Mingxu Li ◽  
Changhui Peng ◽  
Meng Wang ◽  
Yanzheng Yang ◽  
Kerou Zhang ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Functional Groups ◽  
Spatial Patterns ◽  
Plant Functional Groups

Monitoring seasonal variations of colored dissolved organic matter for the Saginaw River based on Landsat-8 data

2018 ◽  
Vol 19 (1) ◽  
pp. 274-281 ◽  
Author(s):  
Jiang Chen ◽  
Weining Zhu ◽  
Yuhan Zheng ◽  
Yong Q. Tian ◽  
Qian Yu
Keyword(s):  
Remote Sensing ◽  
Organic Matter ◽  
Environmental Factors ◽  
Dissolved Organic Matter ◽  
Spatial Resolution ◽  
Seasonal Variations ◽  
Pearson Correlation ◽  
Landsat 8 ◽  
Colored Dissolved Organic Matter ◽  
Positive Role

Abstract Remote sensing is an effective tool for studying CDOM (colored dissolved organic matter) variations and its relevant environmental factors. Monitoring CDOM distribution and dynamics in small water is often limited by the coarse spatial resolution of traditional ocean color sensors. In this study, because of its high spatial resolution of 30 m, Landsat-8 data were used to assess seasonal variations of CDOM in the Saginaw River, by using an empirical statistic model. Pearson correlation analysis between CDOM variations and other environmental factors, such as temperature, discharge, and dissolved oxygen, shows that temperature was negatively correlated to CDOM variations and discharge played a positive role. We also calculated the monthly mean aCDOM(440) (the absorption coefficient of CDOM at 440 nm) for the Saginaw River between April and November from 2013 to 2016. This study demonstrates a good example for future applications in small waters: observing CDOM variations and other relevant environmental factors change by using Landsat remote sensing, so that we can know more about water quality and ecosystem health of small waters as well as the climate change impact on regional watersheds.

scholarly journals Diurnal and Seasonal Variations in the Effect of Urban Environmental Factors on Air Temperature: A Consecutive Regression Analysis Approach

2020 ◽  
Vol 17 (2) ◽  
pp. 421
Author(s):  
Jaehyun Ha ◽  
Yeri Choi ◽  
Sugie Lee ◽  
Kyushik Oh
Keyword(s):  
Land Use ◽  
Environmental Factors ◽  
Air Temperature ◽  
Seasonal Variations ◽  
Thermal Environment ◽  
Moving Average ◽  
Mitigation Strategies ◽  
View Factor ◽  
Air Temperatures ◽  
Building Geometry

This study investigates the diurnal and seasonal variations in the effect of environmental features on air temperature in Seoul, Korea. We expect that this study will lead to the identification of factors that can be applied for urban heat island mitigation strategies in summer without leading to an unintended result in winter. As our dependent variable, we employed the smoothed 31-day moving average of air temperatures, where we controlled the seasonal variation by normalizing the values observed from 247 automatic weather stations (AWS) from 2015 to 2016. Subsequently, we conducted consecutive log–log regression analyses of each day to examine patterns of change in regression coefficients and the significance of each independent variable. For independent variables, we applied built environment features including albedo, land-use, average building floors, the sky view factor, and green and water areas. This study provides analytical results regarding the relationship between environmental factors and air temperature. This study also addresses imperative issues for planners, especially regarding albedo, wind path, building geometry, and land use types. Finally, this study gives useful insights for managing the diurnal and seasonal variations of urban thermal environment in the mega-city.

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