Environmental effects on Neotropical liana species richness

2009 ◽  
Vol 36 (8) ◽  
pp. 1561-1572 ◽  
Author(s):  
Geertje M. F. van der Heijden ◽  
Oliver L. Phillips
2012 ◽  
Vol 7 (6) ◽  
pp. 1030-1036 ◽  
Author(s):  
Richard Hrivnák ◽  
Helena Oťheľová ◽  
Dušan Gömöry ◽  
Milan Valachovič ◽  
Peter Paľove-Balang

AbstractThe effect of 19 environmental variables on species richness of macrophytes was studied in 39 Slovak streams. The studied streams were poor in species; in total, 88 macrophyte taxa were found and the average number of macrophytes per sampling site was 4, ranging from 0 to15. The most frequently occurring macrophytes were filamentous algae (occurrence at 38.6% of sampling sites), followed by Rhynchostegium riparioides (28.4%) and Phalaris arundinacea (19.3%). The strongest environmental gradient in the sampling site detected by factor analysis (factor 1 explains more than 32% variability) is related to the portion of artificial banks, shading by woody vegetation along banks, flexuosity of stream course and the portion of natural land cover in the contact zone of the stream, and can be interpreted as a natural-anthropogenic gradient. The following variables had the highest correlations with species richness of macrophytes: shading by woody vegetation (r=−0.507), portions of artificial bank (r=0.488), flexuosity (r=−0.457) and distance from stream source (r=0.388).


Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 859
Author(s):  
Wayne L. Myers

Incisive inquiry involving indicators of ecological and environmental integrity entails exploration of spatial structure at selected scales from landscape level to regional regimes. Conventional colorization of digital displays provides perspective but is largely lacking for localization, elaboration, and explication. An overall objective for recent research is explicit extraction of spatial structure as hyper-hills and proximal propensity. Shared scripting as a computational configuration affords analytical advantage, adaptability and availability. Conservation context captures challenges of changing conditions for complex components at several spatial scales. Hyper-hill hypotheses, relativized ratings, and post patterned nucleated networks supporting secondary scaling scenarios are current contributions. Computational concerns in indicant informatics are also addressed. Retrospective results are cogent comparators for change. Shared scripting couples R software with Python as R||Python (R in parallel with Python), which is supplemented by strategic sequencing of compilation capabilities in general GIS (geographic information systems). The specific research question(s) is/are what is the particular pattern of placement and propagation in intensification of an indicant of biodiversity (avian species richness), and how does this relate to some other co-located indicants of environmental effects. This is addressed in a legacy dataset for Pennsylvania, USA. Emergent emphasis is on truncated trees of topology and impaneled indicators. Shareable software has HIDN (hexagonal indicant dual networking) as an aggregate acronym with duly drawn disclaimers.


2008 ◽  
Vol 35 (7) ◽  
pp. 1202-1214 ◽  
Author(s):  
Joaquín Hortal ◽  
Jesús Rodríguez ◽  
Manuel Nieto-Díaz ◽  
Jorge M. Lobo

PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e35514 ◽  
Author(s):  
Zhenhua Luo ◽  
Songhua Tang ◽  
Chunwang Li ◽  
Hongxia Fang ◽  
Huijian Hu ◽  
...  

Author(s):  
N.J. Tao ◽  
J.A. DeRose ◽  
P.I. Oden ◽  
S.M. Lindsay

Clemmer and Beebe have pointed out that surface structures on graphite substrates can be misinterpreted as biopolymer images in STM experiments. We have been using electrochemical methods to react DNA fragments onto gold electrodes for STM and AFM imaging. The adsorbates produced in this way are only homogeneous in special circumstances. Searching an inhomogeneous substrate for ‘desired’ images limits the value of the data. Here, we report on a reversible method for imaging adsorbates. The molecules can be lifted onto and off the substrate during imaging. This leaves no doubt about the validity or statistical significance of the images. Furthermore, environmental effects (such as changes in electrolyte or surface charge) can be investigated easily.


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