[1] Rechinger, K.H. (1984) Rumex (Polygonaceae) in Australia Are Consideration. Nuytsia, 5, 75-122.
[2] Kirtikar, K.R. and Basu, B.D. (1999) Indian Medicinal Plants. 2nd Edition, Dehradun.
[3] Batanouny, K.H. (1999) Wild Medicinal Plants in Egypt. Academy of Scientific Research and Technology, Egypt. The World Conservation Union (IUCN), Switzerland, 166-167.
[4] AI-Quran, S. (2009) Ethanopharmacological Survey of Wild Medicinal Plants in Showbak, Jordan. Journal of Ethnopharmacology, 123, 45-50.
http://dx.doi.org/10.1016/j.jep.2009.02.031
[5] Belanger, J., Balakrishna, M., Latha, P. and Katumalla, S. (2010) Contribution of Selected Wild and Cultivated Leafy Vegetables from South India to Lutein and β-Carotene Intake. Asia Pacific Journal of Clinical Nutrition, 19, 417-424.
[6] AI-Rumaih, M., May, F.A., Saad, A.I. and Warsy, A.S. (2002) Seasonal Variation in Mineral Content of Different Organs during Development of Rumex vesicarius L. Saudi Journal of Biological Sciences, 9, 69-79.
[7] Alam, E.A. (2012) In Vitro Studies on Rumex vesicarius L. (Polygonaceae) for the Production of Some Active Constituents. Ph. D. Thesis, Helwan University, Egypt.
[8] Mandle, V.S., Salunke, S.D., Gaikwad, S.M., Dande, K.G. and Patil, M.M. (2012) Study of Nutritional Value of Some Unique Leafy Vegetable Grown in Latur District. Journal of Animal Science Advances, 2, 296-298.
[9] Vermani, K. and Sanjay, G. (2002) Herbal Medicines for Sexually Transmitted Diseases and AIDS. Journal of Ethnopharmacology, 80, 49-66.
http://dx.doi.org/10.1016/S0378-8741(02)00009-0
[10] Orhan, D., Deliorman, O. and Berrin, O. (2009) Antiviral Activity and Cytotoxicity of the Lipophilic Extracts of Various Edible Plants and Their Fatty Acids. Food Chemistry, 115, 701-705.
http://dx.doi.org/10.1016/j.foodchem.2009.01.024
[11] Huxley, A. (1992) The New RHS Dictionary of Gardening. MacMillan Press, London.
[12] Franklin, J. (2009) Mapping Species Distributions, Spatial Inference and Prediction. Cambridge University Press, Cambridge.
[13] Graham, C.H., Ferrier, S., Huettman, F., Moritz, C. and Peterson, A.T. (2004) New Developments in Museum-Based Informatics and Applications in Biodiversity Analysis. Trends in Ecology & Evolution, 19, 497-503.
http://dx.doi.org/10.1016/j.tree.2004.07.006
[14] Elith, J. and Leathwick, J.R. (2009) Species Distribution Models, Ecological Explanation and Prediction across Space and Time. Annual Review of Ecology and Systematics, 40, 677-697.
http://dx.doi.org/10.1146/annurev.ecolsys.110308.120159
[15] Elith, J., Phillips, S.J., Hastie, T., Dudik, M., Chee, Y.E. and Yates, C.J. (2011) A Statistical Explanation of MaxEnt for Ecologists. Diversity and Distributions, 17, 43-57.
http://dx.doi.org/10.1111/j.1472-4642.2010.00725.x
[16] Thuiller, W., Richardson, D.M., Pysek, P., Midgley, G.F., Hughes, G.O. and Rouget, M. (2005) Niche-Based Modelling as a Tool for Predicting the Risk of Alien Plant Invasions at a Global Scale. Global Change Biology, 11, 2234-2250.
http://dx.doi.org/10.1111/j.1365-2486.2005.001018.x
[17] Jarnevich, C.S. and Reynolds, L.V. (2011) Challenges of Predicting the Potential Distribution of a Slow-Spreading Invader, a Habitat Suitability Map for an Invasive Riparian Tree. Biological Invasions, 3, 153-163.
http://dx.doi.org/10.1007/s10530-010-9798-4
[18] Jarnevich, C.S., Stohlgren, T.J., Barnett, D. and Kartesz, J. (2006) Filling in the Gaps: Modelling Native Species Richness and Invasions Using Spatially Incomplete Data. Diversity and Distributions, 12, 511-520.
http://dx.doi.org/10.1111/j.1366-9516.2006.00278.x
[19] Phillips, S.J., Anderson, R.P. and Schapire, R.E. (2006) Maximum Entropy Modeling of Species Geographic Distributions. Ecological Modelling, 190, 231-259.
http://dx.doi.org/10.1016/j.ecolmodel.2005.03.026
[20] Elith, J., Graham, H.C., Anderson, P.R., Dudik, M., Ferrier, S., Guisan, A., Hijmans, J.R., Huettmann, F., Leathwick, R.J., Lehmann, A., Li, J., Lohmann, G.L., Loiselle, A.B., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J.M., Townsend, P.A., Phillips, J.S., Richardson, K., Scachetti, P.R., Schapire, E.R., Soberon, J., Williams, S., Wisz, S.M. and Zimmermann, E.N. (2006) Novel Methods Improve Prediction of Species’ Distributions from Occurrence Data. Ecography, 29, 129-151.
http://dx.doi.org/10.1111/j.2006.0906-7590.04596.x
[21] Evangelista, P.H., Kumar, S., Stohlgren, T.J., Jarnevich, C.S., Crall, A.W., Norman, J.B. and Barnett, D.T. (2008) Modelling Invasion for a Habitat Generalist and a Specialist Plant Species. Diversity and Distributions, 14, 808-817.
http://dx.doi.org/10.1111/j.1472-4642.2008.00486.x
[22] Phillips, S.J. and Dudik, M. (2008) Modeling of Species Distributions with MaxEnt: New Extensions and a Comprehensive Evaluation. Ecography, 31, 161-175.
http://dx.doi.org/10.1111/j.0906-7590.2008.5203.x
[23] Reddy, M.T., Begum, H., Sunil, N., Pandravada, S.R. and Sivaraj, N. (2015) Assessing Climate Suitability for Sustainable Vegetable Roselle (Hibiscus sabdariffa var. sabdariffa L.) Cultivation in India Using MaxEnt Model. Agricultural and Biological Sciences Journal, 1, 62-70.
[24] Reddy, M.T., Begum, H., Sunil, N., Pandravada, S.R., Sivaraj, N. and Kumar, S. (2015) Mapping the Climate Suitability Using MaxEnt Modeling Approach for Ceylon Spinach (Basella alba L.) Cultivation in India. The Journal of Agricultural Sciences, 10, 87-97.
http://dx.doi.org/10.4038/jas.v10i2.8054
[25] Ponder, W.F., Carter, G.A., Flemons, P. and Chapman, R.R. (2001) Evaluation of Museum Collection Data for Use in Biodiversity Assessment. Conservation Biology, 15, 648-657.
http://dx.doi.org/10.1046/j.1523-1739.2001.015003648.x
[26] Stockwell, D.R.B. and Peterson, A.T. (2002) Controlling Bias in Biodiversity Data. In: Scott, J.M., Heglund, P.J., Morrison, M.L., Haufler, J.B., Raphael, M.G., Wall, W.A. and Samson, F.B., Eds., Predicting Species Occurrences: Issues of Accuracy and Scale, Island Press, Washington DC, 537-546.
[27] Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. and Jarvis, A. (2005) Very High Resolution Interpolated Climate Surfaces for Global Land Areas. International Journal of Climatology, 25, 1965-1978.
http://dx.doi.org/10.1002/joc.1276
[28] Nix, H.A. (1986) A Biogeographic Analysis of Australian Elapid Snakes. In: Longmore, R., Ed., Atlas of Elapid Snakes of Australia. Australian Flora and Fauna Series No. 7, Australian Government Publishing Service, Canberra, 4-15.
[29] Kumar, S., Spaulding, S.A., Stohlgren, T.J., Hermann, K., Schmidt, T. and Bahls, L. (2009) Potential Habitat Distribution for the Freshwater Diatom Didymosphenia geminata in the Continental US. Frontiers in Ecology and Environment, 7, 415-420.
http://dx.doi.org/10.1890/080054
[30] Sundar, S.S. and Mitsuko, C. (2005) A Geographical Information System for the Analysis of Biodiversity Data. Gis Resource Document [WWW Document].
http://www.pop.psu.edu/gia-core/pdfs/gis_rd_02-27.pdf
[31] Eitzinger, A., Laderach, P., Carmona, S., Navarro, C. and Collet, L. (2013) Prediction of the Impact of Climate Change on Coffee and Mango Growing Areas in Haiti. Full Technical Report, Centro Internacional de Agricultura Tropical (CIAT), Cali, Colombia.
[32] Hanley, J.A. and McNeil, B.J. (1982) The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve. Radiology, 143, 29-36.
http://dx.doi.org/10.1148/radiology.143.1.7063747
[33] Manel, S., Williams, H.C. and Ormerod, S.J. (2001) Evaluating Presence-Absence Models in Ecology: The Need to Account for Prevalence. Journal of Applied Ecology, 38, 921-931.
http://dx.doi.org/10.1046/j.1365-2664.2001.00647.x
[34] Swets, J.A. (1988) Measuring the Accuracy of Diagnostic Systems. Science, 240, 1285-1293.
http://dx.doi.org/10.1126/science.3287615
[35] Hoffman, J.D., Narumalani, S., Mishra, D.R., Merani, P. and Wilson, R.G. (2008) Predicting Potential Occurrence and Spread of Invasive Plant Species along the North Platte River, Nebraska. Invasive Plant Science and Management, 1, 359-367.
http://dx.doi.org/10.1614/IPSM-07-048.1
[36] Hanczar, B., Hua, J., Sima, C., Weinstein, J., Bittner, M. and Dougherty, E.R. (2010) Small-Sample Precision of ROC-Related Estimates. Bioinformatics, 26, 822-830.
http://dx.doi.org/10.1093/bioinformatics/btq037
[37] Fielding, A.H. and Bell, J.F. (1997) A Review of Methods for the Assessment of Prediction Errors in Conservation Presence/Absence Models. Environmental Conservation, 24, 38-49.
http://dx.doi.org/10.1017/S0376892997000088
[38] Hernandez, P.A., Graham, C.H., Master, L.L. and Albert, D.L. (2006) The Effect of Sample Size and Species Characteristics on Performance of Different Species Distribution Modeling Methods. Ecography, 29, 773-785.
http://dx.doi.org/10.1111/j.0906-7590.2006.04700.x
[39] Pearson, R.G., Raxworthy, C.J., Nakamura, M. and Peterson, A.T. (2007) Predicting Species’ Distributions from Small Numbers of Occurrence Records: A Test Case Using Cryptic Geckos in Madagascar. Journal of Biogeography, 34, 102-107.
http://dx.doi.org/10.1111/j.1365-2699.2006.01594.x
[40] Phillips, S.J. (2008) Transferability, Sample Selection Bias and Background Data in Presence-Only Modelling: A Response to Peterson et al. (2007). Ecography, 31, 272-278.
http://dx.doi.org/10.1111/j.0906-7590.2008.5378.x
[41] Phillips, S.J., Dudik, M., Elith, J., Graham, C.H., Lehmann, A., Leathwick, J. and Ferrier, S. (2009) Sample Selection Bias and Presence-Only Distribution Models: Implications for Background and Pseudo-Absence Data. Ecological Applications, 19, 181-197.
http://dx.doi.org/10.1890/07-2153.1
[42] Hernandez, P.A., Franke, I., Herzog, S.K., Pacheco, V., Paniagua, L., Quintana, H.L., Soto, A., Swenson, J.J., Tovar, C., Valqui, T.H., Vargas, J. and Young, B.E. (2008) Predicting Species Distributions in Poorly-Studied Landscapes. Biodiversity and Conservation, 17, 1353-1366.
http://dx.doi.org/10.1007/s10531-007-9314-z
[43] Anderson, R.P. and Martinez-Meyer, E. (2004) Modelling Species’ Geographic Distributions for Conservation Assessments: An Implementation with the Spiny Pocket Mice (Heteromys) of Ecuador. Biological Conservation, 116, 167-179.
http://dx.doi.org/10.1016/S0006-3207(03)00187-3
[44] Stohlgren, T.J. (2007) Measuring Plant Diversity: Lessons from the Field. Oxford University Press, Oxford, 408.