Spatial scale effects of water erosion dynamics: Complexities, variabilities, and uncertainties

2012 ◽  
Vol 22 (2) ◽  
pp. 127-143 ◽  
Author(s):  
Wei Wei ◽  
Liding Chen ◽  
Lei Yang ◽  
Bojie Fu ◽  
Ranhao Sun
Keyword(s):  
Spatial Scale ◽  
Scale Effects ◽  
Water Erosion

Quantitative evaluation of spatial scale effects on regional water footprint in crop production

2021 ◽  
Vol 173 ◽  
pp. 105709
Author(s):  
Ying Mao ◽  
Yilin Liu ◽  
La Zhuo ◽  
Wei Wang ◽  
Meng Li ◽  
...  
Keyword(s):  
Spatial Scale ◽  
Quantitative Evaluation ◽  
Crop Production ◽  
Water Footprint ◽  
Scale Effects ◽  
Regional Water

Spatial scale effects on sediment concentration in runoff during flood events for hilly areas of the Loess Plateau, China

2011 ◽  
Vol 36 (11) ◽  
pp. 1499-1509 ◽  
Author(s):  
Mingguo Zheng ◽  
Fen Qin ◽  
Liying Sun ◽  
Deli Qi ◽  
Qiangguo Cai
Keyword(s):  
Spatial Scale ◽  
Loess Plateau ◽  
Scale Effects ◽  
Sediment Concentration ◽  
Flood Events ◽  
The Loess Plateau

Spatial scale effects on model parameter estimation and predictive uncertainty in ungauged basins

2012 ◽  
Vol 44 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Denis A. Hughes ◽  
Evison Kapangaziwiri ◽  
Jane Tanner
Keyword(s):  
Parameter Estimation ◽  
Spatial Scale ◽  
Scale Effects ◽  
Physical Property ◽  
Hydrological Modelling ◽  
Ungauged Basins ◽  
Estimation Equations ◽  
Property Data ◽  
Physical Property Data ◽  
Parameter Values

The most appropriate scale to use for hydrological modelling depends on the model structure, the purpose of the results and the resolution of available data used to quantify parameter values and provide the climatic forcing. There is little consensus amongst the community of model users on the appropriate model complexity and number of model parameters that are needed for satisfactory simulations. These issues are not independent of modelling scale, the methods used to quantify parameter values, nor the purpose of use of the simulations. This paper reports on an investigation of spatial scale effects on the application of an approach to quantify the parameter values (with uncertainty) of a rainfall-runoff model with a relatively large number of parameters. The quantification approach uses estimation equations based on physical property data and is applicable to gauged and ungauged basins. Within South Africa the physical property data are available at a finer spatial resolution than is typically used for hydrological modelling. The results suggest that reducing the model spatial scale offers some advantages. Potential disadvantages are related to the need for some subjective interpretation of the available physical property data, as well as inconsistencies in some of the parameter estimation equations.

scholarly journals Spatial scale effects in environmental risk-factor modelling for diseases

2013 ◽  
Vol 7 (2) ◽  
pp. 169 ◽  
Author(s):  
Ram K. Raghavan ◽  
Karen M. Brenner ◽  
John A. Jr. Harrington ◽  
James J. Higgins ◽  
Kenneth R. Harkin
Keyword(s):  
Risk Factor ◽  
Spatial Scale ◽  
Environmental Risk ◽  
Scale Effects ◽  
Environmental Risk Factor

Small spatial scale effects of wave action exposure on morphological traits of the limpet Lottia subrugosa

2019 ◽  
Vol 99 (06) ◽  
pp. 1309-1315
Author(s):  
Edson A. Vieira ◽  
Marília Bueno
Keyword(s):  
Spatial Scale ◽  
Scale Effects ◽  
Spatial Scales ◽  
Wave Exposure ◽  
Wave Action ◽  
Shell Shape ◽  
Small Scale ◽  
Small Spatial Scale ◽  
Large Spatial Scale ◽  
Exposed Shore

AbstractMany studies have already assessed how wave action may affect morphology of intertidal species among sites that vary in wave exposure, but few attempted to look to this issue in smaller scales. Using the most common limpet of the Brazilian coast, Lottia subrugosa, and assuming position on rocky boulders as a proxy for wave action at small scale, we tested the hypothesis that waves may also influence limpet morphology at a smaller spatial scale by investigating how individual size, foot area and shell shape vary between sheltered and exposed boulder sides on three shores in the coast of Ubatuba, Brazil. Limpets consistently showed a proportionally larger foot on exposed boulder sides for all shores, indicating that stronger attachment is an important mechanism to deal with wave action dislodgement at a smaller scale. Shell shape also varied in the scale investigated here, with more conical (dissipative) shells occurring in exposed boulder sides in one exposed shore across time and in the other exposed shore in one year. Shell shape did not vary regarding boulder sides across time in the most sheltered shore. Although we did not assess large spatial scale effects of wave action in this study, variations of the effect of waves at small spatial scale observed for shell shape suggest that it may be modulated by the local wave exposure regime. Our work highlights the importance of wave action at small spatial scales, and may help to understand the ecological variability of limpets inhabiting rocky shores.

scholarly journals Interactive spatial scale effects on species distribution modeling: The case of the giant panda

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Thomas Connor ◽  
Andrés Viña ◽  
Julie A. Winkler ◽  
Vanessa Hull ◽  
Ying Tang ◽  
...  
Keyword(s):  
Grain Size ◽  
Spatial Scale ◽  
Species Distribution ◽  
Giant Panda ◽  
Species Distribution Model ◽  
Scale Effects ◽  
Distribution Model ◽  
Mountain Range ◽  
Model Accuracy ◽  
Selection Of

Abstract Research has shown that varying spatial scale through the selection of the total extent of investigation and the grain size of environmental predictor variables has effects on species distribution model (SDM) results and accuracy, but there has been minimal investigation into the interactive effects of extent and grain. To do this, we used a consistently sampled range-wide dataset of giant panda occurrence across southwest China and modeled their habitat and distribution at 4 extents and 7 grain sizes. We found that increasing grain size reduced model accuracy at the smallest extent, but that increasing extent negated this effect. Increasing extent also generally increased model accuracy, but the models built at the second-largest (mountain range) extent were more accurate than those built at the largest, geographic range-wide extent. When predicting habitat suitability in the smallest nested extents (50 km2), we found that the models built at the next-largest extent (500 km2) were more accurate than the smallest-extent models but that further increases in extent resulted in large decreases in accuracy. Overall, this study highlights the impacts of the selection of spatial scale when evaluating species’ habitat and distributions, and we suggest more explicit investigations of scale effects in future modeling efforts.

scholarly journals Spatial scale effects on taxonomic and biological trait diversity of aquatic macroinvertebrates in Mediterranean streams

2013 ◽  
Vol 183 (2) ◽  
pp. 89-105 ◽  
Author(s):  
Eduardo M. García-Roger ◽  
María del Mar Sánchez-Montoya ◽  
Núria Cid ◽  
Stefania Erba ◽  
Ioannis Karaouzas ◽  
...  
Keyword(s):  
Spatial Scale ◽  
Scale Effects ◽  
Aquatic Macroinvertebrates ◽  
Mediterranean Streams ◽  
Biological Trait ◽  
Trait Diversity

scholarly journals Exploring the spatial scale effects of built environments on transport walking: Multi-Ethnic Study of Atherosclerosis

2022 ◽  
Vol 73 ◽  
pp. 102722
Author(s):  
Jingjing Li ◽  
Amy H. Auchincloss ◽  
Jana A. Hirsch ◽  
Steven J. Melly ◽  
Kari A. Moore ◽  
...  
Keyword(s):  
Spatial Scale ◽  
Scale Effects ◽  
Built Environments ◽  
Ethnic Study

Investigation of Local Processes and Spatial Scale Effects on Suffusion Susceptibility

2018 ◽  
pp. 298-305
Author(s):  
Chuheng Zhong ◽  
Van Thao Le ◽  
Fateh Bendahmane ◽  
Didier Marot ◽  
Zhenyu Yin
Keyword(s):  
Spatial Scale ◽  
Scale Effects
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