Relative importance of host plant patch geometry and habitat quality on the patterns of occupancy, extinction and density of the monophagous butterfly Iolana iolas

Oecologia ◽  
2008 ◽  
Vol 156 (3) ◽  
pp. 491-503 ◽  
Author(s):  
Sonia G. Rabasa ◽  
David Gutiérrez ◽  
Adrián Escudero
2020 ◽  
Vol 16 (7) ◽  
pp. 20200140 ◽  
Author(s):  
Fernanda Z. Teixeira ◽  
Trina Rytwinski ◽  
Lenore Fahrig

Roads and traffic impacts on wildlife populations are well documented. Three major mechanisms can cause them: reduced connectivity, increased mortality and reduced habitat quality. Researchers commonly recommend mitigation based on the mechanism they deem responsible. We reviewed the 2012–2016 literature to evaluate authors' inferences, to determine whether they explicitly acknowledge all possible mechanisms that are consistent with their results. We found 327 negative responses of wildlife to roads, from 307 studies. While most (84%) of these responses were consistent with multiple mechanisms, 60% of authors invoked a single mechanism. This indicates that many authors are over-confident in their inferences, and that the literature does not allow estimation of the relative importance of the mechanisms. We found preferences in authors' discussion of mechanisms. When all three mechanisms were consistent with the response measured, authors were 2.4 and 2.9 times as likely to infer reduced habitat quality compared to reduced connectivity or increased mortality, respectively. When both reduced connectivity and increased mortality were consistent with the response measured, authors were 5.2 times as likely to infer reduced connectivity compared to increased mortality. Given these results, road ecologists and managers are likely over-recommending mitigation for improving habitat quality and connectivity, and under-recommending measures to reduce road-kill.


2016 ◽  
Vol 193 ◽  
pp. 37-47 ◽  
Author(s):  
Melissa J. Bruton ◽  
Martine Maron ◽  
Craig E. Franklin ◽  
Clive A. McAlpine

2001 ◽  
Vol 23 (2) ◽  
pp. 173 ◽  
Author(s):  
AF Sluiter ◽  
RL Close ◽  
SJ Ward

IN assessing habitat quality for koalas (Phascolarctos cinereus), the relative importance of trees used for food and for roosting must be established. Robbins and Russell (1978) and Hindell et al. (1985) suggested that trees in which P. cinereus roosted by day reliably predicted the trees they browsed. Tun (1993) and Hasegawa (1995), however, using leaf cuticle analysis of P. cinereus faecal pellets, questioned that suggestion . Phillips and Callaghan (2000) investigated preferences of P. cinereus in the Campbelltown area, 40 km southwest of Sydney, by recording the presence of faecal pellets beneath trees in survey quadrats. They concluded that Eucalyptus punctata (grey gum) and E. agglomerata (blue-leaved stringy bark) were preferred species on shale-based soils. However, this method still does not distinguish between trees used for roosting and those used for feeding. Cuticle analysis was therefore used at Campbelltown as a test of dietary preference (Table 1). These data on species use were compared with sightings from a radio-tracking study of the same individuals (Table 2), in a separate study (Ward 2002).


Ecography ◽  
2005 ◽  
Vol 28 (4) ◽  
pp. 465-474 ◽  
Author(s):  
Jochen Krauss ◽  
Ingolf Steffan-Dewenter ◽  
Christine B. Müller ◽  
Teja Tscharntke

2017 ◽  
Vol 284 (1858) ◽  
pp. 20171001 ◽  
Author(s):  
Aaron D. Flesch

In spatially structured populations, distributional dynamics are driven by the quantity, connectivity and quality of habitat. Because these drivers are rarely measured directly and simultaneously at relevant scales, information on their relative importance remains unclear. I assessed the influence of both direct and indirect measures of local habitat quality, and of landscape habitat amount and connectivity on long-term territory occupancy dynamics of non-migratory pygmy owls. Direct measures of local habitat quality based on territory-specific reproductive output had greater effects on distribution than landscape factors, but only when spatio-temporal fluxes in performance linked to environmental stochasticity and intraspecific competition were considered. When habitat quality was measured indirectly based on habitat structure, however, landscape factors had greater effects. Although all landscape factors were important, measures of landscape connectivity that were uncorrelated with habitat amount and based on attributes of matrix structure and habitat configuration that influence dispersal movements had greater effects than habitat effective area (amount weighted by quality). Moreover, the influence of connectivity (but not habitat effective area) depended on local habitat quality. Such results suggest the relative importance of local habitat quality in driving distribution has been underestimated and that conservation strategies should vary spatially depending on both local and landscape contexts.


2008 ◽  
Vol 65 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Judith Bouchard ◽  
Daniel Boisclair

Fish habitat quality models (FHQM) developed for rivers consist of relationships between indices of habitat quality and environmental conditions prevailing within sites (local variables). Given the hierarchical structure of these ecosystems, modeling habitat quality over complete rivers may require the inclusion of variables in FHQM that represent the processes operating over a more complete range of spatial scales. The objectives of this study were to quantify the relative importance of local, lateral (characteristics of the shores), and longitudinal (attributes along the upstream–downstream axis of the river) variables on a FHQM developed for parr of Atlantic salmon (Salmo salar). Parr densities (an index of habitat quality) and local, lateral, and longitudinal variables were estimated in 32 reaches of 200 m. FHQM were developed using analytical units (AU) of 50, 100, and 200 m (length of AU in the upstream–downstream axis of the river). The structure and the explanatory power of FHQM were affected by the AU size. In the study river, 98% of the explanatory power of FHQM was imputed to the effect of local variables.


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