Substratum diversity explains landscape-scale co-variation in the species-richness of bryophytes and lichens

2007 ◽  
Vol 135 (3) ◽  
pp. 405-414 ◽  
Author(s):  
Asko Lõhmus ◽  
Piret Lõhmus ◽  
Kai Vellak
Oecologia ◽  
2002 ◽  
Vol 132 (1) ◽  
pp. 96-101 ◽  
Author(s):  
Justin P. Wright ◽  
Clive G. Jones ◽  
Alexander S. Flecker

2006 ◽  
Vol 41 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Piotr Skórka ◽  
Rafał martyka ◽  
Joanna D. Wójcik

2019 ◽  
Vol 107 (6) ◽  
pp. 2724-2736 ◽  
Author(s):  
Maja K. Sundqvist ◽  
Jon Moen ◽  
Robert G. Björk ◽  
Tage Vowles ◽  
Minna‐Maarit Kytöviita ◽  
...  

2020 ◽  
Vol 113 ◽  
pp. 106176
Author(s):  
Yvette C. Ehlers Smith ◽  
David A. Ehlers Smith ◽  
Tharmalingam Ramesh ◽  
Colleen T. Downs

2005 ◽  
Vol 20 (8) ◽  
pp. 989-1001 ◽  
Author(s):  
Daniel F. R. Cleary ◽  
Martin J. Genner ◽  
Timothy J. B. Boyle ◽  
Titiek Setyawati ◽  
Celina D. Angraeti ◽  
...  

2017 ◽  
Vol 47 (7) ◽  
pp. 935-945 ◽  
Author(s):  
Amy Choi ◽  
Tara E. Sackett ◽  
Sandy M. Smith ◽  
M. Isabel Bellocq

A growing understanding about the impacts of earthworms (Oligochaeta: Lumbricidae) on ecosystem processes and forest restoration necessitates an examination of their role in Canadian forests where they have become invasive. Little is known about the landscape-scale responses of earthworm populations to different regional characteristics and vegetation types within Canada’s central woodlands. We examined the regional variation of earthworm species richness, biomass, and assemblage composition across a range of four municipal regions (from south to north: Halton, Wellington, York, and Simcoe) and four habitat types (deciduous forest, mixed forest, tree plantation, and meadow) with varying soil characteristics in woodlands of south-central Ontario, Canada. In general, earthworm communities differed by region but not by habitat type. The most southern regions supported the highest earthworm species richness, biomass (i.e., Lumbricus and Octolasion), and density, and this was associated with a south–north gradient in soil characteristics. Assemblage composition differed by region but not by habitat type. The observed south–north gradient suggests an underlying effect of invasion spread associated with human settlement and density. Our results provide baseline information about earthworm communities in south-central Ontario forests and will enable managers to plan for the increasing role of earthworms in Canada’s future forests.


1995 ◽  
Vol 3 (3-4) ◽  
pp. 277-285 ◽  
Author(s):  
John M. Silbaugh ◽  
David R. Betters

Forest managers faced with incorporating the maintenance of biodiversity into their analyses, plans, and decisions need reliable, quantitative measures of biodiversity. This paper reviews and critiques quantitative approaches that have been developed to measure the three basic attributes of diversity: species richness, heterogeneity, and evenness. These approaches are discussed in terms of application to fine- and large-scale land areas. The advantages and disadvantages of each measure are described relative to forest management. Habitat modeling, which combines aspects of both fine- and landscape-scale analysis, may hold the greatest potential for monitoring forest-level diversity in ways that are meaningful, measurable, and manageable.Key words: biodiversity, quantitative indices, forest management.


2021 ◽  
Vol 36 (5) ◽  
pp. 1391-1407
Author(s):  
Megan J. McNellie ◽  
Ian Oliver ◽  
Simon Ferrier ◽  
Graeme Newell ◽  
Glenn Manion ◽  
...  

Abstract Context Ensembles of artificial neural network models can be trained to predict the continuous characteristics of vegetation such as the foliage cover and species richness of different plant functional groups. Objectives Our first objective was to synthesise existing site-based observations of native plant species to quantify summed percentage foliage cover and species richness within four functional groups and in totality. Secondly, we generated spatially-explicit, continuous, landscape-scale models of these functional groups, accompanied by maps of the model residuals to show uncertainty. Methods Using a case study from New South Wales, Australia, we aggregated floristic observations from 6806 sites into four common plant growth forms (trees, shrubs, grasses and forbs) representing four different functional groups. We coupled these response data with spatially-complete surfaces describing environmental predictors and predictors that reflect landscape-scale disturbance. We predicted the distribution of foliage cover and species richness of these four plant functional groups over 1.5 million hectares. Importantly, we display spatially explicit model residuals so that end-users have a tangible and transparent means of assessing model uncertainty. Results Models of richness generally performed well (R2 0.43–0.63), whereas models of cover were more variable (R2 0.12–0.69). RMSD ranged from 1.42 (tree richness) to 29.86 (total native cover). MAE ranged from 1.0 (tree richness) to 20.73 (total native foliage cover). Conclusions Continuous maps of vegetation attributes can add considerable value to existing maps and models of discrete vegetation classes and provide ecologically informative data to support better decisions across multiple spatial scales.


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