Long and lasting: spatial patterns and temporal trends in a fish community responding to landscape-scale hydrological restoration of a coastal freshwater wetland complex

2021 ◽  
Vol 36 (5) ◽  
pp. 1511-1532
Author(s):  
Nick S. Whiterod ◽  
Lauren Brown ◽  
Mark Bachmann ◽  
Lachlan Farrington ◽  
Lorenzo Vilizzi
Keyword(s):  
Spatial Patterns ◽  
Fish Community ◽  
Temporal Trends ◽  
Landscape Scale ◽  
Freshwater Wetland ◽  
Wetland Complex

Spatial patterns and temporal trends of daily precipitation indices in Iran

2014 ◽  
Vol 124 (1-2) ◽  
pp. 239-253 ◽  
Author(s):  
Tayeb Raziei ◽  
Jamal Daryabari ◽  
Isabella Bordi ◽  
Reza Modarres ◽  
Luis S. Pereira
Keyword(s):  
Spatial Patterns ◽  
Daily Precipitation ◽  
Temporal Trends ◽  
Precipitation Indices

Spatial patterns and temporal trends in mercury concentrations, precipitation depths, and mercury wet deposition in the North American Great Lakes region, 2002–2008

2012 ◽  
Vol 161 ◽  
pp. 261-271 ◽  
Author(s):  
Martin R. Risch ◽  
David A. Gay ◽  
Kathleen K. Fowler ◽  
Gerard J. Keeler ◽  
Sean M. Backus ◽  
...  
Keyword(s):  
Great Lakes ◽  
Spatial Patterns ◽  
North American ◽  
Wet Deposition ◽  
Temporal Trends ◽  
Great Lakes Region ◽  
The North ◽  
North American Great Lakes

Mosses as biomonitors of atmospheric heavy metal deposition: Spatial patterns and temporal trends in Europe

2010 ◽  
Vol 158 (10) ◽  
pp. 3144-3156 ◽  
Author(s):  
H. Harmens ◽  
D.A. Norris ◽  
E. Steinnes ◽  
E. Kubin ◽  
J. Piispanen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Patterns ◽  
Temporal Trends ◽  
Metal Deposition ◽  
Heavy Metal Deposition

Response of individual sizes and spatial patterns of Deyeuxia angustifolia to increasing water level gradient in a freshwater wetland

2020 ◽  
Vol 27 (14) ◽  
pp. 17085-17092
Author(s):  
Heng Ren ◽  
Fu-xi Shi ◽  
Rong Mao ◽  
Yue-dong Guo ◽  
Wen-zhi Zhao
Keyword(s):  
Water Level ◽  
Spatial Patterns ◽  
Freshwater Wetland ◽  
Deyeuxia Angustifolia

scholarly journals Modeling Spatial Patterns of Humus Forms in Montane and Subalpine Forests: Implications of Local Variability for Upscaling

2018 ◽  
Vol 11 (1) ◽  
pp. 48
Author(s):  
Niels Hellwig ◽  
Dylan Tatti ◽  
Giacomo Sartori ◽  
Kerstin Anschlag ◽  
Ulfert Graefe ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Ground Cover ◽  
Landscape Scale ◽  
Local Scale ◽  
Mountain Forest ◽  
High Mountain ◽  
Subalpine Forests ◽  
Humus Forms ◽  
Humus Form ◽  
Local Variability

Humus forms are a distinctive morphological indicator of soil organic matter decomposition. The spatial distribution of humus forms depends on environmental factors such as topography, climate and vegetation. In montane and subalpine forests, environmental influences show a high spatial heterogeneity, which is reflected by a high spatial variability of humus forms. This study aims at examining spatial patterns of humus forms and their dependence on the spatial scale in a high mountain forest environment (Val di Sole/Val di Rabbi, Trentino, Italian Alps). On the basis of the distributions of environmental covariates across the study area, we described humus forms at the local scale (six sampling sites), slope scale (60 sampling sites) and landscape scale (30 additional sampling sites). The local variability of humus forms was analyzed with regard to the ground cover type. At the slope and landscape scale, spatial patterns of humus forms were modeled applying random forests and ordinary kriging of the model residuals. The results indicate that the occurrence of the humus form classes Mull, Mullmoder, Moder, Amphi and Eroded Moder generally depends on the topographical position. Local-scale patterns are mostly related to micro-topography (local accumulation and erosion sites) and ground cover, whereas slope-scale patterns are mainly connected with slope exposure and elevation. Patterns at the landscape scale show a rather irregular distribution, as spatial models at this scale do not account for local to slope-scale variations of humus forms. Moreover, models at the slope scale perform distinctly better than at the landscape scale. In conclusion, the results of this study highlight that landscape-scale predictions of humus forms should be accompanied by local- and slope-scale studies in order to enhance the general understanding of humus form patterns.

Visualization of spatial patterns and temporal trends for aerial surveillance of illegal oil discharges in western Canadian marine waters

2008 ◽  
Vol 56 (5) ◽  
pp. 825-833 ◽  
Author(s):  
Norma Serra-Sogas ◽  
Patrick D. O’Hara ◽  
Rosaline Canessa ◽  
Peter Keller ◽  
Ronald Pelot
Keyword(s):  
Spatial Patterns ◽  
Temporal Trends ◽  
Marine Waters ◽  
Aerial Surveillance

Forest fragmentation and forest management: A plea for empirical data

2002 ◽  
Vol 78 (5) ◽  
pp. 686-689 ◽  
Author(s):  
Robert G G. D'Eon
Keyword(s):  
Forest Management ◽  
Forest Fragmentation ◽  
Habitat Loss ◽  
Spatial Patterns ◽  
Empirical Data ◽  
Landscape Scale ◽  
Managed Forests ◽  
Habitat Loss And Fragmentation ◽  
Theoretical Predictions ◽  
Forest Managers

Forest fragmentation is one of the most important conservation issues of recent times. Most of what we know about forest fragmentation is based on speculation and untested theory due to a paucity of empirical data. The lack of empirical data can be attributed to (1) the extreme difficulty in conducting good fragmentation studies, and (2) confusion between habitat loss and fragmentation effects. Empirical data from well-designed fragmentation studies is direly needed to validate theoretical predictions stemming from the fragmentation paradigm. Since the best data will come from landscape-scale experiments in managed forests, partnerships and support from researchers and forest managers is critical in this pursuit. Key words: empirical data, forest fragmentation, landscape spatial patterns

scholarly journals Boreal river impoundments caused nearshore fish community assemblage shifts but little change in diversity: a multiscale analysis

2019 ◽  
Vol 76 (5) ◽  
pp. 740-752 ◽  
Author(s):  
Katrine Turgeon ◽  
Christian Turpin ◽  
Irene Gregory-Eaves
Keyword(s):  
Fish Community ◽  
River Flow ◽  
Spatial Scales ◽  
Temporal Trends ◽  
Ecosystem Functions ◽  
Anthropogenic Factors ◽  
Multiscale Approach ◽  
Sampling Station ◽  
Community Assemblage ◽  
Boreal River

River flow regulation, fragmentation, and changes in water quality caused by dams have varying effects on aquatic biodiversity and ecosystem functions, but are not clearly resolved in boreal ecosystems. We adopted a multiscale approach to quantify fish community trajectories over 20 years using a network of sites spread across four reservoirs in two hydroelectricity complexes in northern Quebec, where other anthropogenic factors have been negligible. Across three spatial scales, we found little evidence of directional temporal trends in diversity relative to reference sites. Using beta-diversity analyses, we also detected a high degree of stability in fish composition over time and space at the complex and reservoir scales. However, changes in species assemblage following impoundment were detected at the scale of the sampling station. At this scale, we found that some species consistently benefited (coregonids and pikes) from impoundment, whereas others were detrimentally affected (suckers and one salmonid). Overall, we conclude that examining different scales is key when trying to understand the impacts of humans on biodiversity and in formulating management recommendations.

scholarly journals Northern Hemisphere Climatology and Trends of Statistical Moments Documented from GHCN-Daily Surface Air Temperature Station Data from 1950 to 2010

2014 ◽  
Vol 27 (14) ◽  
pp. 5396-5410 ◽  
Author(s):  
Nicholas R. Cavanaugh ◽  
Samuel S. P. Shen
Keyword(s):  
Standard Deviation ◽  
Northern Hemisphere ◽  
Spatial Patterns ◽  
Air Temperature ◽  
Probability Distributions ◽  
Temporal Trends ◽  
Surface Air Temperature ◽  
Statistical Moments ◽  
Station Data ◽  
Skewness And Kurtosis

Abstract The first four statistical moments and their trends are calculated for the average daily surface air temperature (SAT) from 1950 to 2010 using the Global Historical Climatology Network–Daily station data for each season relative to the 1961–90 climatology over the Northern Hemisphere. Temporal variation of daily SAT probability distributions are represented as generalized linear regression coefficients on the mean, standard deviation, skewness, and kurtosis calculated for each 10-yr moving time window from 1950–59 to 2001–10. The climatology and trends of these statistical moments suggest that daily SAT probability distributions are non-Gaussian and are changing in time. The climatology of the first four statistical moments has distinct spatial patterns with large coherent structure for mean and standard deviation and relatively smaller and more regionalized patterns for skewness and kurtosis. The linear temporal trends from 1950 to 2010 of the first four moments also have coherent spatial patterns. The linear temporal trends in the characterizing statistical moments are statistically significant at most locations and have differing spatial patterns for different moments. The regionalized variations specific to higher moments may be related to the climate dynamics that contribute to extremes. The nonzero skewness and kurtosis makes this detailed documentation on the higher statistical moments useful for quantifying climate changes and assessing climate model uncertainties.

Temporal trends and spatial patterns of energy use efficiency and greenhouse gas emissions in crop production of Anhui Province, China

Energy ◽  
2017 ◽  
Vol 133 ◽  
pp. 955-968 ◽  
Author(s):  
Huijun Wu ◽  
Zengwei Yuan ◽  
Yong Geng ◽  
Jingzheng Ren ◽  
Songyan Jiang ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Spatial Patterns ◽  
Crop Production ◽  
Energy Use ◽  
Temporal Trends ◽  
Anhui Province ◽  
Gas Emissions ◽  
Energy Use Efficiency ◽  
Use Efficiency
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