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ALIADOS
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ALAS
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BIBLIOTECA
VIRTUAL
MODELAJE ECOLOGICO
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La biblioteca virtual de BIO-NICA no tiene
fines lucrativo, tan solo apoyar a investigadores, estudiantes y publico en general a documentarse en temas que tienen que
ver con Biodiversidad.
Los documentos presentados son obtenidos de la Internet
o de amigos o son publicaciones de miembros o asociados del Museo
Entomológico o de ALAS.
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q
ANDERSON R.P., LEW D. PETERSON A.T. (2003)
Evaluating predictive models of species’ distributions: criteria for selecting
optimal models. Ecological Modelling 162: 211-232
q
ANDERSON R.P. & MARTINEZ-MEYER E. (2004)
Modeling species’ geographic distributions for preliminary conservation
assessments: an implementation with the spiny pocket mice (Heteromys) of
Ecuador. Biological Conservation 116: 167-179.
q
ANDREASEN J.K. & KLUZA
D.A. (xxxx) Invasive Species: An Important Stressor in the Mid-Atlantic Area.
U.S. EPA Office of Research and Development. National Center For
Environmental Assessment Washington, DC. 8pp.
q BANKS W.E., D’ERRICO F., DIBBLE H.L., KRISHTALKA L., WEST D., OLSZEWSKI D.I.,
PETERSON A.T., ANDERSON D.G., GILLAM J.C., MONTET-WHITE A., CRUCIFIX M., MAREAN
C.W., SANCHEZ-GOÑI M.F., WOHLFARTH B. & VANHAERAN M. (2006)
Eco-cultural Niche Modeling: New Tools for Reconstructing the Geography and
Ecology of Past Human Populations. PaleoAntropology Society, pp.68-83.
q
BARKER S., BENITEZ
S., BALDY J., CISNEROS HEREDIA
D., COLORADO ZULUAGA G., CUESTA F., DAVIDSON
I., DIAZ D., GANZENMUELLER A.,
GARCIA S., GIRVAN M.K., GUEVARA
E., HAMEL P., HENNESEY A.B.,
HERNANDEZ O.L., HERZOG S., MEHLMAN D., MORENO M.I., OZDENEROL E., RAMONI-PERAZZI P., ROMERO
M., ROMO D., SALAMAN P., SANTANDER T., TOVAR C., WELTON M., WILL T., PEDRAZA C. & GALINDO G. (2007)
Modelling the South American Range of the Cerulean Warbler. ESRI International User Confernce Papers, 36pp.
q BENITO DE PANDO B. & PEÑAS DE GILES J. (2007)
“Aplicación de modelos de distribucion de especies a la conservacion de la
biodiversidad en el sureste de la Peninsula Iberica”, GeoFocus (Articulos), nº
7, pp.100-119.
q
BERGEN K.M., BROWN D.G.,
GUSTAFSON E.J. & DOBSON M.C. (xxxx)
Radar Remote Sensing of Habitat Structure for Biodiversity Informatics. Type:
Birds of a Feather- Biodiversity and Ecosystem Informatics, 3pp.
q
BLACKBURN J.K., PAZILOV Y., LUKNOVA L., SANSYZBAYEV Y.,
ROGERS D. & HUGH-JONES M. (2007) Utilizing predictive models to
evaluate the distribution & ecology of Bacillus anthracis in North
America and Central Asia. Geography Ecology, 42pp.
q
CHAPMAN A. D. (2003) Lifemapper. Comments and Ideas. Report No.
7, Appendix: K Modelling Cria. 11pp.
q
CHAPMAN A. D. (2004) Environmental Modelling in CRIA. Issues and
Ideas. Report No. 4, Appendix: G, Modelling Cria, 14pp.
q
COSTA J., PETERSON A. T. &
BEN BEARD C. (2002) Ecologic Niche Modeling and differentiation of
Populations of Triatoma brasiliensis Neiva, 1911, The
most important Chagas’ Disease Vector in Northeastern Brazil (Hemiptera,
Reduviidae, Triatominae) Am. J. Trop. Med. Hyg. 67(5): 516-520.
q
DANIELS M.J. (xxxx) Bayesian modeling of several covariance
matrices and some results on propriety of the posterior for linear regrssion
with correlated and / or heterogeneous errors. Department of Statistics
University of Florida., 31pp.
q
GILBOY A. (xxxx)
Effects of landscape spatial structure and composition on models of pine
warbler (Dendroica pinus) habitat selection. School of Natural Resources
and Environment University of Michigan. 16pp.
q
KELLY M., SHAARI D., GUO Q.
& LIU D. (2005) Modeling Risk for SOD Nationwide: What are the
Effects of Model Choice on Risk Prediction? USDA Forest Service Gen. Tech. Rep.
PSW-GTR, 8pp.
q
KELLY M., SHAARI D., GUO Q.
& LIU D. (2005) Modeling Risk for SOD Nationwide: What are the
Effects of Model Choice on Risk Prediction? USDA Forest Service Gen. Tech. Rep.
PSW-GTR-196, 12pp
q
KELLY M., GUO Q., LIU D. &
SHAARI D. (2007) Modelling the Risk for a new invasive forest
disease in the United States: An evaluation of five environmental niche models.
Computers, Envirnment and Urban Systems, 22pp.
q
KLUZA D. (2005) ORD
Invasive Species Reseach. EpasSCIENCEforum, Collaborative Science for
Environmental Solutions, 1pp.
q
KOLAR C. (2004) Risk
assessment and screening for potentially invasive fishes. New Zealand Journal
of Marine and Freswater Reseach, 38: 391-397.
q
LEE J.T. (2004) John’s guide to GARP modelling system. Spatial
Ecology & Landuse Unit (SELU), School of Biological &
MolecularSciences, University of Oxford,16pp.
q
LI H., XIAO H., PENG H., HAN
H. X. & XUE D. (2006) Potential Global Range Expansion of a New Invasive
Species, The Erythrina Gall Wasp, Quadrastichus erithrinae Kim (Insecta:
Hymenoptera: Eulophidae) The Raffles Bulletin Of Zoology 54(2): 229-234.
q
LOO S.E. (xxxx) Predicting the Spread of Invasive Species
using GARP Models and Time- Series Data. School of Biological Sciences, Monash
University, Australia, 2pp.
q
MAGURRAN A.E. (2004)
Measuring Biological Diversity. Blackwell Publishing, 261pp.
q
MANDLEBERG L. (2004) A comparison of the predictive abilities of
four approaches for modelling the distribution of cetaceans. Thesis submitted in partial requirements for
the degree of Mres. Marine and Fisheries Science. University of Aberdeen,
Aberdeen, U.K., 54pp.
q
MAY R.M. (1987) Chaos and the dynamics of biological populations.
Proc. R. Soc. Lond. A, 413:27-44.
q
McCUNE B. & GRACE J.B. (2002)
Analysis of Ecological Communities. MjM Software Desing Gleneden Beach, Oregon,
307pp.
q
PEARCE J.L & BOYCE
M.S. (2006) Modelling distribution and abundance with
presence-only data. Journal of Applied Ecology 43: 405-412.
q
PETERSON A.T. & VIEGLAIS
D.A. (2001) Predicting species invasions
using ecological niche modeling: new approaches from bioinformatics attack a
pressing problem. Bioscience, 363-371.
q
PETERSON A.T., SANCHEZ-CORDERO
V., BEARD C.B. & RAMSEY J.M. (2002) Ecologic Niche Modeling and
Potential Reservoirs for Chagas Disease, Mexico. Emerging Infectious Diseases,
8(7): 662-267.
q
PETERSON A.T. (2005) Kansas GAP analysis: The importance of
validating distributional models before using them. The Southwestern Naturalist
50(2): 230-236.
q
PETERSON A.T. & PAPEŞ
M. (2006) Potential geographic distribution of the Bugun Liocichla Liocichla
bugunorum, a poorly-Known species from north-eastern India. Indian Birds
2(6): 146-149.
q
PHILLIPS S. J., DUDIK M. &
SCHAPIRE R.E. (2004) a
Maximum Entropy Approach to Species Distribution Modelling. Appearing in
Proceedings of the 21st International Conference on Machine Learning, Banff,
Canada, 8pp.
q PHILLIPS S. J., ANDERSON R. P. & SCHAPIRE R.E. (2006) Maximum entropy
modelling of species geographic distributions. Ecolgical Modelling 190: 231-259.
q RANGEL P.I., LINAJE
M.A. & SANCHEZ-CORDERO V. (2002) Distribucion de los Mamiferos Terrestres en la
Region del Golfo de California , Mexico. Anales del
Instituto de Biologia. Serie Zoologia, 73(002): 213-224.
q ROMO H., GARCIA-BARROS E.
& MUNGUIRA M.L. (2006) Distribucion potencial de trece especies de
mariposas diunas amenazadas o raras en el area ibero-balear (Lepidoptera:
Papilionoidea & Hesperioidea). Boln. Asoc. Esp. Ent. 30(3-4): 25-49.
q
SANCHEZ CORDERO V., PETERSON A.T., MARTINEZ MEYER E.
FLORES R. (2005) Distribucion de roedores reservorios del Virus
causante del sindrome pulmonar por Hantavirus y Regiones de posible riesgo en
Mexico. Acta Zoologica Mexicana (nueva
serie), 21(003): 79-91.
q
SCHARLEMANN J. P. W., BENZ
D., HAY S. I., PURSE B. V., TATEM
A. J., WINT G. R. W. &
ROGERS D. J. (2008)
Global Data for Ecology and Epidemiology: A Novel Algorithm for Temporal
Fourier Processing MODIS Data. PLoSONE, 3(1): 13pp.
q
STOCKWELL D. & PETERS D. (1999) The
G A R P modelling system: problems and solutions to
automated spatial prediction. Research Article. Int. J. Geographical
Information Science, 13(2): 143-158.
q
SUZAN G., GIERMAKOWSKI T.,
MARCE E., SUZAN-AZPIRI H., ARMIEN B. & YATES T.L. (2006)
Modelling Hantavirus Reservoir Species Dominance In High Seroprevalence Areas
on the Azuero Peninsula of Panama. Am. J. Trop. Med. Hyg. 74(6): 1103-1110.
q
WILEY E.O., McNYSET K.M., PETERSON A.T., ROBINS C.R. & STEWART A.M. (2003)
Niche Modeling and Geographic Range Predictions in the Marine Environment Using
a Machine-learning Algorithm. Oceanography, 16(3):120-127.