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A. Swengel (1990)
Monitoring butterfly populations using the Fourth of July Butterfly Count.American Midland Naturalist, 124
I. Oliver, A. Beattie (1996)
Designing a Cost‐Effective Invertebrate Survey: A Test of Methods for Rapid Assessment of BiodiversityEcological Applications, 6
(1998)
Checklist of Nevada butterflies
(1995)
Introducing Markov chain Monte Carlo. Pages 1-20 in
Sierra Ecosystem, Wildland Resources (1997)
Sierra Nevada Ecosystem Project final report to Congress
A. Skidmore, A. Gauld, P. Walker (1996)
Classification of Kangaroo Habitat Distribution Using Three GIS ModelsInt. J. Geogr. Inf. Sci., 10
S. Jackson, A. Claridge (1999)
Climatic modelling of the distribution of the mahogany glider (Petaurus gracilis), and the squirrel glider (P. norfolcensis)Australian Journal of Zoology, 47
E. Fleishman, G. Austin, D. Murphy (1997)
Natural History and Biogeography of the Butterflies of the Toiyabe Range, Nevada (Lepidoptera: Papilionoidea)., 4
A. Baz (1995)
The effects of elevation on the butterfly communities of a Mediterranean mountain, Sierra de Javalambre, central SpainJournal of The Lepidopterists Society, 49
J. Thomas (1995)
The conservation of declining butterfly populations in Britain and Europe: priorities, problems and successesBiological Journal of The Linnean Society, 56
Skidmore Skidmore, Gauld Gauld, Walker Walker (1996)
Classification of kangaroo habitat distribution using three GIS models.International Journal of Geographical Information Systems, 10
R. Blair, A. Launer (1997)
Butterfly diversity and human land use: Species assemblages along an urban gradientBiological Conservation, 80
Akaike (1978)
A Bayesian analysis of the minimum AIC procedure.Annals Institute Statistics Mathematics, 30
H. Eeley, M. Lawes, S. Piper (1999)
The influence of climate change on the distribution of indigenous forest in KwaZulu‐Natal, South AfricaJournal of Biogeography, 26
S. James, D. Bell (1995)
Morphology and anatomy of leaves of Eucalyptus camaldulensis clones: Variation between geographically separated locationsAustralian Journal of Botany, 43
K. McDonald, James Brown (1992)
Using Montane Mammals to Model Extinctions Due to Global ChangeConservation Biology, 6
Mac Nally Mac Nally (2000)
Regression and model‐building in conservation biology, biogeography and ecology: the distinction between—and reconciliation of—“predictive” and “explanatory” models.Biodiversity and Conservation, 9
B. Tardif, J. Desgranges (1998)
Correspondence between bird and plant hotspots of the St Lawrence river and influence of scale on their locationBiological Conservation, 84
(1995)
Final report on candidate butterfly taxa of the Spring Mountains
M. Morris, E. Pollard, T. Yates (1993)
Monitoring butterflies for ecology and conservation
G. Niemi, J. Hanowski, A. Lima, T. Nicholls, Norman Weiland (1997)
A critical analysis on the use of indicator species in managementJournal of Wildlife Management, 61
C. Kremen (1992)
Assessing the Indicator Properties of Species Assemblages for Natural Areas Monitoring.Ecological applications : a publication of the Ecological Society of America, 2 2
G. Wardell-Johnson, J. Roberts (1993)
Biogeographic barriers in a subdued landscape : the distribution of the Geocrinia rosea (Anura : Myobatrachidae) complex in south-western AustraliaJournal of Biogeography, 20
E. Fleishman, G. Austin, Andrew Weiss (1998)
AN EMPIRICAL TEST OF RAPOPORT'S RULE: ELEVATIONAL GRADIENTS IN MONTANE BUTTERFLY COMMUNITIESEcology, 79
E. Ranta, H. Rita, M. Crawley (1994)
GLIM for EcologistsJournal of Animal Ecology, 63
H. Akaike (1978)
A Bayesian analysis of the minimum AIC procedureAnnals of the Institute of Statistical Mathematics, 30
C. Daly, R. Neilson, D. Phillips (1994)
A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous TerrainJournal of Applied Meteorology, 33
Sierra Ecosystem, Wildland Resources (1996)
Assessments and scientific basis for management options
R. Brereton, S. Bennett, I. Mansergh (1995)
Enhanced greenhouse climate change and its potential effect on selected fauna of south-eastern Australia: A trend analysisBiological Conservation, 72
K. Holl (1995)
Nectar Resources and Their Influence on Butterfly Communities on Reclaimed Coal Surface MinesRestoration Ecology, 3
D. D'costa, A. Kershaw (1997)
An Expanded Recent Pollen Database from South-eastern Australia and its Potential for Refinement of Palaeoclimatic EstimatesAustralian Journal of Botany, 45
W. Fagan, P. Kareiva (1997)
Using compiled species lists to make biodiversity comparisons among regions: A test case using Oregon butterfliesBiological Conservation, 80
C. Margules, M. Austin (1990)
Nature Conservation: Cost Effective Biological Surveys and Data Analysis
James Brown (1978)
The theory of insular biogeography and the distribution of boreal birds and mammalsGreat Basin naturalist memoirs, 2
S. Harrison, Andrew Taylor (1997)
Empirical Evidence for Metapopulation Dynamics
(1991)
BIOCLIM : a bioclimatic analysis and predictive sys
J. Sumner, C. Dickman (1998)
Distribution and identity of species in the Antechinus stuartii–A. flavipes group (Marsupialia : Dasyuridae) in south-eastern AustraliaAustralian Journal of Zoology, 46
R. Nally, A. Bennett, G. Horrocks (2000)
Forecasting the impacts of habitat fragmentation. Evaluation of species-specific predictions of the impact of habitat fragmentation on birds in the box–ironbark forests of central Victoria, AustraliaBiological Conservation, 95
(1992)
Effects of climate change on biological diversity in western North America : species losses and mechanisms
B. Law (1994)
Climatic limitation of the southern distribution of the common blossom bat Syconycteris australis in New South WalesAustral Ecology, 19
R. Heikkinen (1998)
Can richness patterns of rarities be predicted from mesoscale atlas data? A case study of vascular plants in the Kevo ReserveBiological Conservation, 83
(1975)
The temporal component of butterfly species diversity. Pages 181-195 in
J. Longino, Robert Colwell (1997)
BIODIVERSITY ASSESSMENT USING STRUCTURED INVENTORY: CAPTURING THE ANT FAUNA OF A TROPICAL RAIN FORESTEcological Applications, 7
(1997)
Metapopulation biology
G. Schwarz (1978)
Estimating the Dimension of a ModelAnnals of Statistics, 6
S. Freitag, A. Jaarsveld, H. Biggs (1997)
Ranking priority biodiversity areas : An iterative conservation value-based approachBiological Conservation, 82
(1996)
BUGS 0 . 5 . Bayesian updating using Gibbs sampling
Brown Brown (1978)
The theory of insular biogeography and the distribution of boreal mammals and birds.Great Basin Naturalist Memoirs, 2
Swengel Swengel, Swengel Swengel (1997)
Co‐occurrence of prairie and barrens butterflies: applications to ecosystem conservation.Journal of Insect Conservation, 1
J. Prendergast, Rachel Quinn, John Lawton, B. Eversham, David Gibbons (1993)
Rare species, the coincidence of diversity hotspots and conservation strategiesNature, 365
David Adam (1994)
Living landscapes.Science, 263 5153
R. Boone, W. Krohn (1999)
MODELING THE OCCURRENCE OF BIRD SPECIES: ARE THE ERRORS PREDICTABLE?Ecological Applications, 9
T. Ricketts, E. Dinerstein, David Olson, C. Loucks (1999)
Who's Where in North America?BioScience, 49
A. Kershaw (1997)
A Bioclimatic Analysis of Early to Middle Miocene Brown Coal Floras, Latrobe Valley, South-eastern AustraliaAustralian Journal of Botany, 45
(1987)
Abundancia y riqueza de las comunidades forestales de mariposas ( Lepidoptera: Rhopalocera) y su relación con la altitud en el sistema Ibérico meridional
Stohlgren Stohlgren, Quinn Quinn, Ruggiero Ruggiero, Waggoner Waggoner (1995)
Status of biotic inventories in U.S.National Parks. Biological Conservation, 71
T. Caro, Gillian O'Doherty (1999)
On the Use of Surrogate Species in Conservation BiologyConservation Biology, 13
Charles Riley, SmiCie GonjeCman, William Edwards, Second Series (2015)
THE BUTTERFLIES OF NORTH AMERICA.Science, 9 209S
D. Simberloff (1998)
Flagships, umbrellas, and keystones: Is single-species management passé in the landscape era?Biological Conservation, 83
C. Thomas, H. Mallorie (1985)
Rarity, species richness and conservation: Butterflies of the Atlas Mountains in MoroccoBiological Conservation, 33
P. Harding, J. Asher, T. Yates (1995)
Butterfly monitoring 1 — recording the changes
(1960)
Techniques for capture - recapture studies of lepidoptera populations
S. Caicco, J. Scott, Bart Butterfield, B. Csuti (1995)
A Gap Analysis of the Management Status of the Vegetation of Idaho (U.S.A.)Conservation Biology, 9
(1986)
Diversity , rarity , and conservation in Mediterranean - climate regions
H. Neave, T. Norton (1998)
Biological inventory for conservation evaluation: IV. Composition, distribution and spatial prediction of vegetation assemblages in southern AustraliaForest Ecology and Management, 106
T. Stohlgren, J. Quinn, M. Ruggiero, G. Waggoner (1995)
Status of biotic inventories in US national parksBiological Conservation, 71
R. Nally, E. Fleishman, J. Fay, D. Murphy (2003)
Modelling butterfly species richness using mesoscale environmental variables: model construction and validation for mountain ranges in the Great Basin of western North AmericaBiological Conservation, 110
E. Fleishman, D. Murphy, G. Austin (1999)
Butterflies of the Toquima Range, Nevada: distribution, natural history, and comparison to the Toiyabe RangeThe Great Basin naturalist, 59
R. MacNally, A. Bennett (1997)
Species-specific predictions of the impact of habitat fragmentation: Local extinction of birds in the box-ironbark forests of central Victoria, AustraliaBiological Conservation, 82
P. Angermeier, M. Winston (1999)
characterizing fish community diversity across virginia landscapes: prerequisite for conservationEcological Applications, 9
Kevin Gaston, T. Blackburn, John Spicer (1998)
Rapoport's rule: time for an epitaph?Trends in ecology & evolution, 13 2
C. Thomas, I. Hanski (1997)
15 – Butterfly Metapopulations
(1995)
Utah gap analysis: an environmental information system. Final project report
WK Martin (1996)
The Current and Potential Distribution of the Common Myna Acridotheres tristis in AustraliaEmu, 96
C. Kremen (1994)
Biological Inventory Using Target Taxa: A Case Study of the Butterflies of MadagascarEcological Applications, 4
Abstract: If occurrence of individual species can be modeled as a function of easily quantified environmental variables (e.g., derived from a geographic information system (GIS)) and the predictions of these models are demonstrably successful, then the scientific foundation for management planning will be strengthened. We used Bayesian logistic regression to develop predictive models for resident butterflies in the central Great Basin of western North America. Species inventory data and values for 14 environmental variables from 49 locations (segments of canyons) in the Toquima Range ( Nevada, U.S.A.) were used to build the models. Squares of the environmental variables were also used to accommodate possibly nonmonotonic responses. We obtained statistically significant models for 36 of 56 (64%) resident species of butterflies. The models explained 8–72% of the deviance in occurrence of those species. Each of the independent variables was significant in at least one model, and squared versions of five variables contributed to models. Elevation was included in more than half of the models. Models included one to four variables; only one variable was significant in about half the models. We conducted preliminary tests of two of our models by using an existing set of data on the occurrence of butterflies in the neighboring Toiyabe Range. We compared conventional logistic classification with posterior probability distributions derived from Bayesian modeling. For the latter, we restricted our predictions to locations with a high ( 70%) probability of predicted presence or absence. We will perform further tests after conducting inventories at new locations in the Toquima Range and nearby Shoshone Mountains, for which we have computed environmental variables by using remotely acquired topographic data, digital‐terrain and microclimatic models, and GIS computation.
Conservation Biology – Wiley
Published: Dec 14, 2001
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