Population Characteristics of the Suboceanic Lichen Platismatia norvegica in Core and Fringe Habitats: Relations to Macroclimate, Substrate, and Proximity to Streams

Lidén, Marlene; Hilmo, Olga

doi:10.1639/0007-2745(2005)108[0506:pcotsl]2.0.co;2

Cited by 26 publications

(24 citation statements)

References 28 publications

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“…However, due to the general patterns of faster activation of metabolism by rain compared to humid air and the potentially higher metabolic activity reached during these events (see Palmqvist 2000 and references therein), for many species, one might assume that it is of particular importance that the rain-induced hydration periods are well predicted. This being said, we know that a number of species display distribution patterns, for example, confinement to habitats close to turbulent water (Lidén and Hilmo 2005), which indicates that other sources of humidity than precipitation may be very important for their metabolic output (Kappen et al 1980;Lange et al 1986Lange et al , 1988Lange et al , 2001Lidén and Hilmo 2005). The models presented here simulated the rain-induced hydration periods accurately for all three species Table 4), although they somewhat underestimated the observed values.…”

Section: Discussionmentioning

confidence: 69%

Predicting lichen hydration using biophysical models

2008

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Two models for predicting the hydration status of lichens were developed as a first step towards a mechanistic lichen productivity model. A biophysical model included the water potential of the air, derived from measurements of air temperature, relative humidity and species-specific rate constants for desiccation and rehydration. A reduced physical model, included only environmental parameters, assuming instantaneous equilibration between the lichen and the air. These models were developed using field and laboratory data for three green algal lichens: the foliose epiphytic Platismatia glauca (L.) W. Culb., the fruticose epiphytic Alectoria sarmentosa (Ach.) Ach. and the fruticose, terricolous and mat-forming Cladina rangiferina (L.) Weber ex Wigg. The models were compared and validated for the same three species using data from a habitat with a different microclimate. Both models predicted the length and timing of lichen hydration periods, with those for A. sarmentosa and P. glauca being highly accurate-nearly 100% of the total wet time was predicted by both the biophysical and physical models. These models also predicted an accurate timing of the total realized wet time for A. sarmentosa and P. glauca when the lichens were wet. The model accuracy was lower for C. rangiferina compared to the epiphytes, both for the total realized wet time and for the accuracy of the timing for the hydration period. These results demonstrate that the stochastic and continually varying hydration status of lichens can be simulated from biophysical data. Further development of these models to also include water-related activity, light and temperature conditions during the hydration events will then be a potent tool to assess potential lichen productivity in landscapes and habitats of various microclimatic conditions.

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Section: Discussionmentioning

confidence: 69%

Predicting lichen hydration using biophysical models

2008

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“…Given that the presence and abundance of arboreal lichen communities can integrate both site continuity and old-growth habitat values, we would suggest that a landscape level assessment of old-growth associate canopy lichen communities in BC's ITR could assist in providing a ranking of the conservation biology potential of remaining old-growth forest stands and an assessment of environmental variables that promote canopy lichen diversity. When we look to previous studies in coastal wet-temperate rainforests, they suggest that wet microsites play an important role in supporting canopy lichen diversity (McCune et al, 2002;Lidé n and Hilmo, 2005) and that groundwater receiving sites, in particular, are strongly associated with the development of rich wet-temperate rainforest habitats (Spies and Franklin, 1991). Substrate characteristics have further been found to be an important determinant of lichen diversity in old-growth forests (Hauck and Spribille, 2002).…”

Section: Introductionmentioning

confidence: 95%

Predicting canopy macrolichen diversity and abundance within old-growth inland temperate rainforests

Radies

Coxson

Johnson

et al. 2009

Forest Ecology and Management

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“…this matrix may buffer or otherwise modify an organisms' response to macroclimate. For example, previous work on epiphytes has demonstrated functional trends in habitat specificity along climatic gradients Ellis et al 2009), and a preference for contrasting micro-habitats compared between larger-scale climate zones (Lidén and Hilmo 2005). As a corollary, spatial variation in habitat quality may fundamentally alter the observed presence-absence of a species with respect to macroclimatic trends; the strength of this effect may depend also on the sampling position (grid-square) with respect to a species' core versus marginal distributional range.…”

Section: Introductionmentioning

confidence: 99%

Epiphyte sensitivity to a cross-scale interaction between habitat quality and macroclimate: an opportunity for range-edge conservation

Lisewski

Ellis

2010

Biodivers Conserv

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Bioclimatic envelope models are frequently used to project the species response to climate change scenarios. Development and improvement of bioclimatic models has focussed on data properties and statistical tools, while significant criticism continues to challenge the ecological framework of model assumptions. We hypothesised that a potential for model improvement emerges from linkage across scales, between macroclimate and variation in local habitat quality: i.e. a species' habitat specificity may shift along macroclimatic gradients. We first sampled two test-case epiphytic lichen species across a steep climatic gradient, and second developed standard bioclimatic models accompanied by a threshold likelihood value for discriminating presences and absences. We used the difference between predicted model values and the threshold as a response variable (D thr ): we show that values for D thr are explained by an interaction between the climatic setting and habitat quality. A potential error in bioclimatic models is then quantified as the region of false absences or presences, which would be incurred as a consequence of sensitivity to variable habitat. This signature habitat effect occurs at a species' range-edge, and, as a corollary, provides quantification in support of conservation: i.e. information is provided on how a habitat may be managed in marginal climatic regions (leading or trailing range-edge boundaries) in order to promote species protection.

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Population Characteristics of the Suboceanic Lichen Platismatia norvegica in Core and Fringe Habitats: Relations to Macroclimate, Substrate, and Proximity to Streams

Cited by 26 publications

References 28 publications

Predicting lichen hydration using biophysical models

Predicting lichen hydration using biophysical models

Predicting canopy macrolichen diversity and abundance within old-growth inland temperate rainforests

Epiphyte sensitivity to a cross-scale interaction between habitat quality and macroclimate: an opportunity for range-edge conservation

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