Monitoring Spatial and Temporal Dynamics of Flood Regimes and Their Relation to Wetland Landscape Patterns in Dongting Lake from MODIS Time-Series Imagery

AbstractTime-series surveys of microbial communities coupled with contextual measures of the environment provide a useful approach to dissect the factors determining distributions of microorganisms across ecological niches. Here, monthly time-series samples of surface seawater along a transect spanning the nearshore coastal environment within Kāne‘ohe Bay on the island of O‘ahu, Hawai‘i, and the adjacent offshore environment were collected to investigate the diversity and abundance of SAR11 marine bacteria over a two-year time period. Using 16S ribosomal RNA gene amplicon sequencing, the spatiotemporal distributions of major SAR11 subclades and individual amplicon sequence variants (ASVs) were evaluated. On average, 77% of the SAR11 community was compromised of a small number of ASVs (7 of 106 in total), which were ubiquitously distributed across all samples collected from one or both of the end-member environments sampled in this study (coastal or offshore). SAR11 ASVs were more often restricted spatially to coastal or offshore environments (64 of 106 ASVs) than they were shared among coastal, transition, and offshore environments (39 of 106 ASVs). Overall, offshore SAR11 communities contained a higher diversity of SAR11 ASVs than their nearshore counterparts. This study reveals ecological differentiation of SAR11 marine bacteria across a short physiochemical gradient, further increasing our understanding of how SAR11 genetic diversity partitions into distinct ecological units.

Download Full-text

Spatial and temporal dynamics of shifting cultivation in Manipur, Northeast India based on time-series satellite data

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2019.03.001 ◽

2019 ◽

Vol 14 ◽

pp. 126-137 ◽

Cited By ~ 2

Author(s):

Pentile Thong ◽

Uttam Kumar Sahoo ◽

Rocky Pebam ◽

Uttam Thangjam

Keyword(s):

Time Series ◽

Satellite Data ◽

Shifting Cultivation ◽

Temporal Dynamics ◽

Northeast India ◽

Spatial And Temporal Dynamics

Download Full-text

Integrating Landsat Time Series Observations and Corona Images to Characterize Forest Change Patterns in a Mining Region of Nanjing, Eastern China from 1967 to 2019

Remote Sensing ◽

10.3390/rs12193191 ◽

2020 ◽

Vol 12 (19) ◽

pp. 3191 ◽

Cited By ~ 1

Author(s):

Yali Zhang ◽

Wenjuan Shen ◽

Mingshi Li ◽

Yingying Lv

Keyword(s):

Time Series ◽

Forest Cover ◽

Temporal Dynamics ◽

Pearson Correlation ◽

Eastern China ◽

Landscape Patterns ◽

Forest Loss ◽

Forest Change ◽

Crown Density

Long-term surface mining and subsequent vegetation recovery greatly alter land cover types, reshape landscape patterns and impose several impacts on local ecosystem services. However, studies on the history of forest changes in mining areas from the 1960s to the present have not been reported. This study developed a new idea to investigate the spatial and temporal dynamics of forest cover in a mining area of Mufu Mountain (Mt. Mufu) from 1967 to 2019 by integrating Landsat and Corona data, and to explore the relationships among the forest changes, landscape structures and ecosystem functions. Firstly, we applied the vegetation change tracker (VCT) algorithm and visual interpretation to create annual forest change datasets. Subsequently, the forest loss process was divided into subdivision, shrinkage, perforation and attrition components. An improved forest restoration model in this study extended the recovery process to bridge, branch, infilling and increment components. Finally, remote sensing variables and crown density were coupled to assess the forest aboveground biomass (AGB) to reflect the ecosystem function in the restoration area. Results showed that the combined use of Corona and the dense time series of Landsat can provide more detailed information on forest changes. Forest cover sharply decreased from 343.89 in 1967 to 298.44 ha in 1990, and after 2003, the forest area substantially increased and finally reached a maximum of 434.16 ha in 2019. Subdivision and bridge not only occupied the larger areas in the process of forest loss and restoration, but also they had strong correlations with forest changes and the Pearson correlation coefficients (r) were respectively 0.96 and 0.91. These all revealed that forest changes mainly affected landscape structure connectivity. The total forest AGB of Mt. Mufu increased from 20,173.35 in 2006 to 31,035.77 t in 2017, but the increases in AGB were only 30-40 t/ha in most recovery areas with high structure connectivity (bridge regions), indicating there is room for improving restoration projects in the future. The obtained findings can provide mining site restoration managers with clear, long-term forest change information and mine restoration assessment methods.

Download Full-text

Fourteen-Year Record (2000–2013) of the Spatial and Temporal Dynamics of Floating Algae Blooms in Lake Chaohu, Observed from Time Series of MODIS Images

Remote Sensing ◽

10.3390/rs70810523 ◽

2015 ◽

Vol 7 (8) ◽

pp. 10523-10542 ◽

Cited By ~ 48

Author(s):

Yuchao Zhang ◽

Ronghua Ma ◽

Min Zhang ◽

Hongtao Duan ◽

Steven Loiselle ◽

...

Keyword(s):

Time Series ◽

Temporal Dynamics ◽

Lake Chaohu ◽

Algae Blooms ◽

Spatial And Temporal Dynamics

Download Full-text

Spatial and temporal dynamics of lexico-semantic processing in American Sign Language

PsycEXTRA Dataset ◽

10.1037/e512592013-575 ◽

2011 ◽

Author(s):

M. Leonard ◽

N. Ferjan Ramirez ◽

C. Torres ◽

M. Hatrak ◽

R. Mayberry ◽

...

Keyword(s):

American Sign Language ◽

Sign Language ◽

Semantic Processing ◽

Temporal Dynamics ◽

American Sign ◽

Spatial And Temporal Dynamics

Download Full-text

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

Marine Ecology Progress Series ◽

10.3354/meps13211 ◽

2020 ◽

Vol 637 ◽

pp. 117-140 ◽

Cited By ~ 1

Author(s):

DW McGowan ◽

ED Goldstein ◽

ML Arimitsu ◽

AL Deary ◽

O Ormseth ◽

...

Keyword(s):

Temporal Dynamics ◽

Marine Ecosystem ◽

Gulf Of Alaska ◽

Data Series ◽

Limited Information ◽

Important Species ◽

Multiple Data ◽

Spatial And Temporal Dynamics ◽

Spawning Areas ◽

Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

Download Full-text