scholarly journals Spatial and temporal heterogeneity of methane ebullition in lowland headwater streams and the impact on sampling design

2021 ◽  
Author(s):  
Andrew L. Robison ◽  
Wilfred M. Wollheim ◽  
Bonnie Turek ◽  
Cynthia Bova ◽  
Carter Snay ◽  
...  
Koedoe ◽  
2008 ◽  
Vol 50 (1) ◽  
Author(s):  
Frances Siebert ◽  
Holger C. Eckhardt

The need to conduct research on the impact of elephant on the environment prompted the construction of exclosures along two of the most important rivers in the Kruger National Park. Scientific research on these exclosures along the Sabie and Letaba rivers addresses how patterns of spatial and temporal heterogeneity of the riparian zone are affected by fire, flood and herbivory. To further assist this research programme, a vegetation survey was conducted at the Nkhuhlu exclosure site along the Sabie River to classify and map the vegetation of the area. This will provide baseline data to assess future changes in vegetation and floristic patterns due to small-scale environmental factors created by the presence/absence of herbivory and fire. Phytosociological data were analysed to identify plant communities and subsequent mapping units. Five plant communities, ten sub-communities and four variants were recognised and described in relation to prevailing soil forms. Differences in species richness, diversity and community structure of the plant communities are clearly articulated.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mathew E. Hauer ◽  
Dean Hardy ◽  
Scott A. Kulp ◽  
Valerie Mueller ◽  
David J. Wrathall ◽  
...  

AbstractThe exposure of populations to sea-level rise (SLR) is a leading indicator assessing the impact of future climate change on coastal regions. SLR exposes coastal populations to a spectrum of impacts with broad spatial and temporal heterogeneity, but exposure assessments often narrowly define the spatial zone of flooding. Here we show how choice of zone results in differential exposure estimates across space and time. Further, we apply a spatio-temporal flood-modeling approach that integrates across these spatial zones to assess the annual probability of population exposure. We apply our model to the coastal United States to demonstrate a more robust assessment of population exposure to flooding from SLR in any given year. Our results suggest that more explicit decisions regarding spatial zone (and associated temporal implication) will improve adaptation planning and policies by indicating the relative chance and magnitude of coastal populations to be affected by future SLR.


Oecologia ◽  
2018 ◽  
Vol 188 (4) ◽  
pp. 1133-1144 ◽  
Author(s):  
Garrett W. Hopper ◽  
Keith B. Gido ◽  
Caryn C. Vaughn ◽  
Thomas B. Parr ◽  
Traci G. Popejoy ◽  
...  

1990 ◽  
Vol 67 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Jörg Lindemann ◽  
Elisabeth Holtkamp ◽  
Reimer Herrmann

Sign in / Sign up

Export Citation Format

Share Document