scholarly journals Fine‐scale hydrological niche segregation in coastal dune slacks

2021 ◽  
Vol 32 (5) ◽  
Author(s):  
Ciara Dwyer ◽  
Robin J. Pakeman ◽  
Laurence Jones ◽  
Lisanne Willegen ◽  
Natalie Hunt ◽  
...  
Keyword(s):  
Coastal Dune ◽  
Fine Scale ◽  
Niche Segregation ◽  
Dune Slacks

Machine learning for cross-scale geomorphometric classification of landforms: a day at the beach

2018 ◽  
Author(s):  
Ashton Shortridge ◽  
Clayton Queen ◽  
Alan Arbogast
Keyword(s):  
Machine Learning ◽  
Random Forests ◽  
Classification Accuracy ◽  
Spatial Prediction ◽  
Coastal Dune ◽  
Fine Scale ◽  
Coarse Scale ◽  
Sample Points

This paper investigates the use of random forests and spatial random forests (RFsp) for the classification of coastal dune areas along 41km of Lake Michigan’s shoreline using a lidar- derived DEM. Terrain variables across a range of spatial neighborhood scales are utilized, and for two different cell resolutions. Distance is explicitly incorporated into the RFsp models through the calculation of buffer distances around small numbers (6-13) of gridded points in the study area. While classification accuracy is high generally, RFsp produced much more accurate results. At the fine scale, topographic variables and their neighborhood ranges were not predictive of dune areas, perhaps because large (> 0.1 hectare) neighborhoods were not tested at that scale. At the coarse scale these variables were much more important. The use of small numbers of gridded (non-sample) points to improve spatial prediction warrants further investigation.

The interstitial environment of coastal dune slacks

1991 ◽  
Vol 21 (2) ◽  
pp. 151-163 ◽  
Author(s):  
Deon van der Merwe ◽  
Anton McLachlan
Keyword(s):  
Coastal Dune ◽  
Dune Slacks

Why Coastal Dune Slacks Sustain a High Biodiversity

2008 ◽  
pp. 85-101 ◽  
Author(s):  
A. P. Grootjans ◽  
E. B. Adema ◽  
R. M. Bekker ◽  
E. J. Lammerts
Keyword(s):  
Coastal Dune ◽  
Dune Slacks

scholarly journals Machine learning for cross-scale geomorphometric classification of landforms: a day at the beach

2018 ◽  
Author(s):  
Ashton Shortridge ◽  
Clayton Queen ◽  
Alan Arbogast
Keyword(s):  
Machine Learning ◽  
Random Forests ◽  
Classification Accuracy ◽  
Spatial Prediction ◽  
Coastal Dune ◽  
Fine Scale ◽  
Coarse Scale ◽  
Sample Points

This paper investigates the use of random forests and spatial random forests (RFsp) for the classification of coastal dune areas along 41km of Lake Michigan’s shoreline using a lidar- derived DEM. Terrain variables across a range of spatial neighborhood scales are utilized, and for two different cell resolutions. Distance is explicitly incorporated into the RFsp models through the calculation of buffer distances around small numbers (6-13) of gridded points in the study area. While classification accuracy is high generally, RFsp produced much more accurate results. At the fine scale, topographic variables and their neighborhood ranges were not predictive of dune areas, perhaps because large (> 0.1 hectare) neighborhoods were not tested at that scale. At the coarse scale these variables were much more important. The use of small numbers of gridded (non-sample) points to improve spatial prediction warrants further investigation.

scholarly journals Plant diversity and community composition in managed humid coastal dune slacks in NW England

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256215
Author(s):  
Margaret A. Connor ◽  
Stephanie Tarvin ◽  
Megan Quail ◽  
Sven Peter Batke
Keyword(s):  
Community Composition ◽  
Water Status ◽  
Soil Nutrient ◽  
Coastal Dune ◽  
Invasive Shrub ◽  
Local Factors ◽  
Dune Slacks ◽  
Regional Factors ◽  
The Uk ◽  
Successional Vegetation

Humid coastal dune slacks are an endangered habitat in Northwestern Europe. In the UK, dune slacks are currently classified as being in ‘unfavourable’ condition, with projected decrease in England of up to 30% by 2036. Studies in mainland Europe suggest that regional factors (e.g. slack area, age, and isolation) are more important than local factors (e.g. soil, pH, soil nutrient and water status) in driving successional vegetation processes in coastal slacks. However, this has never been tested for the UK, where approximately 14% of European slacks occur. We used previously established survey protocols to test whether regional factors are more important than local factors in UK coastal slacks, along the Sefton Coast in NW England. We found that slack area and slack age were more important than local factors in driving plant community composition and species richness. We also showed that higher levels of management, such as active grazing and invasive shrub and tree removal, are effective in increasing soil moisture levels in slacks. Our results suggest that similar successional processes are likely to be important in slacks in the NW of England, compared to mainland Europe.

scholarly journals Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems

2021 ◽  
Vol 125 ◽  
pp. 107564
Author(s):  
Gabriella Buffa ◽  
Carlo Gaetan ◽  
Stefano Piccoli ◽  
Silvia Del Vecchio ◽  
Edy Fantinato
Keyword(s):  
Field Data ◽  
Coastal Dune ◽  
Fine Scale ◽  
Data Modelling ◽  
Dune Systems ◽  
Scale Field

scholarly journals Niche segregation of sand lizard (Lacerta agilis) and green lizard (Lacerta viridis) in an urban semi-natural habitat

2015 ◽  
Vol 36 (4) ◽  
pp. 389-399 ◽  
Author(s):  
Botond Heltai ◽  
Péter Sály ◽  
Dániel Kovács ◽  
István Kiss
Keyword(s):  
Activity Pattern ◽  
Daily Activity ◽  
Diel Activity ◽  
Habitat Segregation ◽  
Fine Scale ◽  
Niche Segregation ◽  
Lizard Species ◽  
Natural Habitats ◽  
Diel Activity Pattern ◽  
Lacerta Viridis

Different types of semi natural habitats has important role in long-term survival and maintenance of reptile species in urban environments. Heterogeneous urban green islands can provide conditions that enable competing species to live together in relatively small areas. However, the key mechanism of coexistence could vary from types of habitats and taxa. We investigated the population structure, the fine scale habitat segregation and diel activity pattern of two lizard species (Lacerta viridis and L. agilis) coexisting populations in a town cemetery. We hypothesized, that fine scale habitat segregation is a more important factor in coexistence than differences in diel activity pattern, because of the environmental dependent thermoregulation constrain. During the study, 178 L. agilis and 79 L. viridis occurrences were recorded. The daily activity patterns of both species were very similar, with peaks found in the forenoon and afternoon. Lizards were found to be the most active at 31-32°C. The probability of occurrence of the species was influenced more by the differences in the random selection of parcels rather than the random differences in the survey days. Around the proximate observation point the bush covered areas was significantly higher than average in the parcels. Our results showed that niche segregation based on fine scale habitat patches had a fundamental role in the coexistence of the two lizard species. L. agilis preferred the more open spaces, whereas L. viridis preferred areas with more bushes, but there was no difference in the daily activity pattern of the two species.

scholarly journals Restoration of coastal dune slacks in the Netherlands

2002 ◽  
pp. 181-203 ◽  
Author(s):  
A. P. Grootjans ◽  
H. W. T. Geelen ◽  
A. J. M. Jansen ◽  
E. J. Lammerts
Keyword(s):  
The Netherlands ◽  
Coastal Dune ◽  
Dune Slacks
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