Mesozooplankton of the lower San Francisco Estuary: spatio-temporal patterns, ENSO effects and the prevalence of non-indigenous species

2011 ◽  
Vol 33 (9) ◽  
pp. 1358-1377 ◽  
Author(s):  
Stephen M. Bollens ◽  
Joanne K. Breckenridge ◽  
Rian C. Vanden Hooff ◽  
Jeffery R. Cordell
Keyword(s):  
San Francisco ◽  
Temporal Patterns ◽  
San Francisco Estuary ◽  
Indigenous Species ◽  
Spatio Temporal ◽  
Non Indigenous Species

scholarly journals An Evaluation of Three Fish Surveys in the San Francisco Estuary, 1995–2015

2018 ◽  
Vol 16 (4) ◽  
Keyword(s):  
San Francisco ◽  
Secchi Depth ◽  
Specific Conductance ◽  
San Francisco Estuary ◽  
Fish Populations ◽  
Midwater Trawl ◽  
Important Region ◽  
Spatio Temporal ◽  
Species Specific

Resource managers rely on long-term monitoring surveys conducted in the San Francisco Estuary to evaluate the status and trends of resident fish populations in this important region. These surveys are potentially confounded because of the incomplete detection of individuals and species, the magnitude of which is often related to the same factors that affect fish populations. We used multistate occupancy estimators to evaluate the distribution, abundance, and detection probability of four fish species collected during 1995–2015 with three long-term surveys. Detection probabilities varied positively with fish abundance and negatively with Secchi depth. Detection varied among species and was greatest for the 20-mm Survey and least for the midwater trawl used for the midwater trawl used in the San Francisco Bay Study. Incomplete detection resulted in underestimates of occupancy and abundance across species and surveys and were greatest for the Bay Study. However, trends in occupancy and abundance of the study period appeared to be unbiased. Fish occupancy and abundance were generally related to salinity or specific conductance, day-of-the year, and water temperature, but the nature of the relations varied among surveys and species. There also was strong spatial and temporal dependence in species-specific occupancy and abundance that changed through time and were unrelated to the covariates considered. Our results suggest that managers consider incorporating methods for estimating detection and adjusting data to ensure data quality. Additionally, the strong spatio-temporal patterns in the monitoring data suggest that existing protocols may need to be modified to ensure that data and inferences reflect system-wide changes rather than changes at a specific set of non-randomly selected locations.

Spatio-temporal distribution of Green Sturgeon (Acipenser medirostris) and White Sturgeon (A. transmontanus) in the San Francisco Estuary and Sacramento River, California

2020 ◽  
Vol 103 (5) ◽  
pp. 577-603 ◽  
Author(s):  
Emily A. Miller ◽  
Gabriel P. Singer ◽  
Matthew L. Peterson ◽  
Eric D. Chapman ◽  
Myfanwy E. Johnston ◽  
...  
Keyword(s):  
San Francisco ◽  
Temporal Distribution ◽  
San Francisco Estuary ◽  
Sacramento River ◽  
White Sturgeon ◽  
Green Sturgeon ◽  
Acipenser Medirostris ◽  
Spatio Temporal

scholarly journals Historic marine traffic into an Atlantic island: temporal patterns evolution and Non-Indigenous Species (NIS) introductions

2019 ◽  
Vol 6 ◽  
Author(s):  
Nuno Castro ◽  
Patrício Ramalhosa ◽  
Jesus Jimenez ◽  
José Lino Costa ◽  
Ignácio Gestoso ◽  
...  
Keyword(s):  
Temporal Patterns ◽  
Indigenous Species ◽  
Marine Traffic ◽  
Non Indigenous Species ◽  
Atlantic Island

SPATIO-TEMPORAL PATTERNS OF WORKFORCE IN INDIA DURING 1981-2011

2019 ◽  
Vol 38 (2) ◽  
pp. 239-254
Author(s):  
M.B. SINGH ◽  
◽  
NITIN KUMAR MISHRA ◽  
Keyword(s):  
Temporal Patterns ◽  
Spatio Temporal

Spatio-temporal Patterns and Driving Forces of Urban Expansion in Beijing Central City Since 1932

2010 ◽  
Vol 11 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Wenhui KUANG ◽  
Quanqin SHAO ◽  
Jiyuan LIU ◽  
Chaoyang SUN
Keyword(s):  
Driving Forces ◽  
Central City ◽  
Urban Expansion ◽  
Temporal Patterns ◽  
Spatio Temporal

scholarly journals Spatio-temporal patterns of scrub typhus in mainland China, 2006-2017

2019 ◽  
Vol 13 (12) ◽  
pp. e0007916 ◽  
Author(s):  
Yujuan Yue ◽  
Dongsheng Ren ◽  
Xiaobo Liu ◽  
Yujiao Wang ◽  
Qiyong Liu ◽  
...  
Keyword(s):  
Scrub Typhus ◽  
Mainland China ◽  
Temporal Patterns ◽  
Spatio Temporal
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