Potential distribution of Leptospermum species (Myrtaceae) in Australia for bioactive honey production purposes

References

• Aiello-Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP. 2015. Spthin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography. 38:541–545.
   Web of Science ®Google Scholar
• Allouche O, Tsoar A, Kadmon R. 2006. Assessing the accuracy of species distribution models: prevalence, kappa, and the true skill statistics (TSS). Journal of Applied Ecology. 43:1223–1232.
   Web of Science ®Google Scholar
• Bean AR. 1992. The genus Leptospermum Forst. Et. Forst. F. (Myrtaceae) in northern Australia and Malesia. Austrobaileya. 3:643–659.
   Google Scholar
• Bean AR. 2004. Three new species of Leptospermum (Myrtaceae) from Queensland and northern New South Wales. Telopea. 10:831–838.
   Google Scholar
• Beaumont LJ, Hughes L, Poulsen M. 2005. Predicting species distribution: use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distribution. Ecological Modelling. 186:251–270.
   Web of Science ®Google Scholar
• Blonder B, Lamanna C, Violle C, Enquist BJ. 2014. The n -dimensional hypervolume. Global Ecology and Biogeography. 23:595–609.
   Web of Science ®Google Scholar
• Boria RA, Olson LE, Goodman SM, Anderson RP. 2014. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecological Modelling. 275:73–77.
   Web of Science ®Google Scholar
• Brown JL. 2014. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. Methods in Ecology and Evolution. 5:694–700.
   Web of Science ®Google Scholar
• Burrell J. 1981. Invasion of coastal heaths of Victoria by Leptospermum laevigatum (J. Gaertn.) F. Muell. Australian Journal of Botany. 29:747–764.
   Web of Science ®Google Scholar
• Carter DA, Blair SE, Cokcetin NN, Bouzo D, Brooks P, Schothauer R, Harry EJ. 2016. Therapeutic manuka honey: no longer so alternative. Frontiers in Microbiology. 7:1–11.
   PubMed Web of Science ®Google Scholar
• Clearwater MJ, Revell M, Noe S, Manley-Harris M. 2018. Influence of genotype, floral stage, and water stress on floral nectar yield and composition of mānuka (Leptospermum scoparium). Annals of Botany. 121:501–512.
   PubMed Web of Science ®Google Scholar
• Cokcetin N, Williams S, Blair S, Carter D, Brooks P, Harry L. 2019. Active Australian Leptospermum honey: New sources and their bioactivity. Australia: AgriFutures Australia.
   Google Scholar
• Crisp MD, Laffan S, Linder HP, Monro A. 2001. Endemism in the Australian flora. Journal of Biogeography. 28:183–198.
   Web of Science ®Google Scholar
• Dawson M. 2009. A history of Leptospermum scoparium in cultivation: discoveries from the wild. New Zealand Garden Journal. 12:21–25.
   Google Scholar
• Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, et al. 2006. Novel methods improve prediction of species’ distribution from occurrence data. Ecography. 29:129–151.
   Web of Science ®Google Scholar
• Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. 2011. A statistical explanation of MaxEnt for ecologists: statistical explanation of MaxEnt. Diversity and Distributions. 17:43–57.
   Web of Science ®Google Scholar
• Essien SO, Baroutian S, Dell K, Young B. 2019. Value-added potential of New Zealand mānuka and kānuka products: A review. Industrial Crops and Products. 130:198–207.
   Web of Science ®Google Scholar
• Franklin J. 2010. Mapping species distributions: spatial inference and prediction. New York: Cambrige University Press.
   Google Scholar
• Hageer Y, Esperón-Rodríguez M, Baumgartner JB, Beaumont LJ. 2017. Climate, soil or both? Which variables are better predictors of the distribution of Australian shrub species? PeerJ. 5:e3346.
   PubMed Web of Science ®Google Scholar
• Hijmans RJ, Cameron SE, Parra JL, Jones G, Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology. 25:1965–1978.
   Web of Science ®Google Scholar
• Hopper SD. 1979. Biogeographical aspects of speciation in the Southwest Australian Flora. Annual Review of Ecology and Systematics. 10:399–422.
   Google Scholar
• Hughes L. 2011. Climate change and Australia: key vulnerable regions. Regional Environmental Change. 11:189–195.
   Web of Science ®Google Scholar
• Jarnevich CS, Stohlgren TJ, Kumar S, Morisette JT, Holcombe TR. 2015. Caveats for correlative species distribution modeling. Ecological Informatics. 29:6–15.
   Web of Science ®Google Scholar
• Jarvis SC. 1974. Soil factors affecting the distribution of plant communities on the cliffs of Craig Breidden, Montogomeryshire. Journal of Ecology. 62:721–733.
   Web of Science ®Google Scholar
• Liu C, Newell G, White M. 2016. On the selection of thresholds for predicting species occurrence with presence-only data. Ecology and Evolution. 6:337–348.
   PubMed Web of Science ®Google Scholar
• Lyne AM. 1993. Leptospermum namadgiensis, a new species from the Australia Capital Territory - New South Wales border area. Telopea. 5:319–324.
   Google Scholar
• Lyne AM, Crisp MD. 1996. Leptospermum jingera (Myrtaceae-Leptospermoidae): a new species from north-eastern Victoria. Australian Systematic Botany. 9:301–306.
   Web of Science ®Google Scholar
• Mohan E, Mitchell N, Lovell P. 1984. Environmental factors controlling germination of Leptospermum scoparium (manuka). New Zealand Journal of Botany. 22:95–101.
   Web of Science ®Google Scholar
• Phillips SJ, Anderson RP, Dudík M, Schapire RE, Blair ME. 2017a. Opening the black box: an open-source release of maxent. Ecography. 40:887–893.
   Web of Science ®Google Scholar
• Phillips SJ, Dudík M, Schapire RE. 2017b. Maxent software for modeling species niches and distributions. [accessed 2019 Jul 16] http://biodiversityinformatics.amnh.org/open_source/maxent/.
   Google Scholar
• Phillips SJ, Elith J. 2013. On estimating probability of presence from use–availability or presence–background data. Ecology. 94:1409–1419.
   PubMed Web of Science ®Google Scholar
• Price JN, Morgan JW. 2006. Variability in plant fitness influences range expansion of Leptospermum scoparium. Ecography. 29:623–631.
   Web of Science ®Google Scholar
• R Core Team. 2018. R: A language and environment for statistical computing.
   Google Scholar
• Specht RL. 2009. Structure and species richness in wetland continua on sandy soils in subtropical and tropical Australia. Austral Ecology. 34:761–772.
   Web of Science ®Google Scholar
• Thompson J. 1989. A revision of the genus Leptospermum (Myrtaceae). Telopea. 3:301–449.
   Google Scholar
• Title PO, Bemmels JB. 2018. ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography. 41:291–307.
   Web of Science ®Google Scholar
• Warren DL, Glor RE, Turelli M. 2010. ENMTools: a toolbox for comparative studies of environmental niche models. Ecography. 33:607–611.
   Web of Science ®Google Scholar
• Warren DL, Seifert SN. 2011. Ecological niche modeling in maxent: the importance of model complexity and the performance of model selection criteria. Ecological Applications. 21:335–342.
   PubMed Web of Science ®Google Scholar
• Whitehead D, Walcroft AS, Scott NA, Townsend JA, Trotter CM, Rogers GND. 2004. Characteristics of photosynthesis and stomatal conductance in the shrubland species manuka (Leptospermum scoparium) and kanuka (Kunzea ericoides) for the estimation of annual canopy carbon uptake. Tree Physiology. 24:795–804.
   PubMed Web of Science ®Google Scholar
• Williams SD, Pappalardo L, Bishop J, Brooks PR. 2018. Dihydroxyacetone production in the nectar of Australian Leptospermum is species dependent. Journal of Agricultural Food and Chemistry. 66:11133–11140.
   PubMed Web of Science ®Google Scholar
• Yates KL, Bouchet PJ, Caley MJ, Mengersen K, Randin CF, Parnell S, Fielding AH, Bamford AJ, Ban S, Barbosa AM, et al. 2018. Outstanding challenges in the transferability of ecological models. Trends in Ecology & Evolution. 33:790–802.
   PubMed Web of Science ®Google Scholar
• Yates CJ, McNeill A, Elith J, Midgley GF. 2010. Assessing the impacts of climate change and land transformation on Banksia in the South West Australian floristic region: impacts of climate change and land transformation. Diversity and Distributions. 16:187–201.
   Web of Science ®Google Scholar