scholarly journals Temporal and spatial dynamics of Cryptophytes biomass in the north of Lake Taihu

2012 ◽  
Vol 24 (1) ◽  
pp. 142-148 ◽  
Author(s):  
LIU Xia ◽  
◽  
LU Xiaohua ◽  
CHEN Yuwei
Keyword(s):  
Lake Taihu ◽  
Spatial Dynamics ◽  
The North ◽  
Temporal And Spatial

Temporal and spatial dynamics of phenology along the North–South Transect of Northeast Asia

2019 ◽  
Vol 40 (20) ◽  
pp. 7922-7940 ◽  
Author(s):  
Yunhua Mo ◽  
Shulin Chen ◽  
Jiaxin Jin ◽  
Xuehe Lu ◽  
Hong Jiang
Keyword(s):  
Northeast Asia ◽  
Spatial Dynamics ◽  
The North ◽  
Temporal And Spatial

scholarly journals Temporal and Spatial Dynamics of Phytoplankton Primary Production in Lake Taihu Derived from MODIS Data

2017 ◽  
Vol 9 (3) ◽  
pp. 195 ◽  
Author(s):  
Yubing Deng ◽  
Yunlin Zhang ◽  
Deping Li ◽  
Kun Shi ◽  
Yibo Zhang
Keyword(s):  
Primary Production ◽  
Lake Taihu ◽  
Spatial Dynamics ◽  
Phytoplankton Primary Production ◽  
Modis Data ◽  
Temporal And Spatial

Simulating the temporal and spatial dynamics of the North Sea using the new model GETM (general estuarine transport model)

2004 ◽  
Vol 54 (2) ◽  
pp. 266-283 ◽  
Author(s):  
Adolf Stips ◽  
Karsten Bolding ◽  
Thomas Pohlmann ◽  
Hans Burchard
Keyword(s):  
North Sea ◽  
Transport Model ◽  
Spatial Dynamics ◽  
New Model ◽  
The North ◽  
The North Sea ◽  
Temporal And Spatial

Temporal and spatial dynamics of pulse production in India

2017 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Spatial Dynamics ◽  
Temporal And Spatial ◽  
Pulse Production

scholarly journals Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

2021 ◽  
Vol 13 (6) ◽  
pp. 1180
Author(s):  
Da Guo ◽  
Xiaoning Song ◽  
Ronghai Hu ◽  
Xinming Zhu ◽  
Yazhen Jiang ◽  
...  
Keyword(s):  
Large Scale ◽  
Net Primary Production ◽  
Carbon Sink ◽  
Carbon Sources ◽  
Spatial Dynamics ◽  
Tibet Plateau ◽  
Geostatistical Model ◽  
Hindu Kush ◽  
Temporal And Spatial ◽  
The Difference

The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

scholarly journals Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables

2014 ◽  
Vol 71 (7) ◽  
pp. 1717-1727 ◽  
Author(s):  
A. Jason Phillips ◽  
Lorenzo Ciannelli ◽  
Richard D. Brodeur ◽  
William G. Pearcy ◽  
John Childers
Keyword(s):  
North Pacific ◽  
Large Scale ◽  
Environmental Variability ◽  
Southern Oscillation ◽  
Spatial Dynamics ◽  
Catch Per Unit Effort ◽  
Variable Effect ◽  
Positive Effects ◽  
The North ◽  
Additive Mixed Models

Abstract This study investigated the spatial distribution of juvenile North Pacific albacore (Thunnus alalunga) in relation to local environmental variability [i.e. sea surface temperature (SST)], and two large-scale indices of climate variability, [the Pacific Decadal Oscillation (PDO) and the Multivariate El Niño/Southern Oscillation Index (MEI)]. Changes in local and climate variables were correlated with 48 years of albacore troll catch per unit effort (CPUE) in 1° latitude/longitude cells, using threshold Generalized Additive Mixed Models (tGAMMs). Model terms were included to account for non-stationary and spatially variable effects of the intervening covariates on albacore CPUE. Results indicate that SST had a positive and spatially variable effect on albacore CPUE, with increasingly positive effects to the North, while PDO had an overall negative effect. Although albacore CPUE increased with SST both before and after a threshold year of 1986, such effect geographically shifted north after 1986. This is the first study to demonstrate the non-stationary spatial dynamics of albacore tuna, linked with a major shift of the North Pacific. Results imply that if ocean temperatures continue to increase, US west coast fisher communities reliant on commercial albacore fisheries are likely to be negatively affected in the southern areas but positively affected in the northern areas, where current albacore landings are highest.

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