The objective of the present paper is to use CLIMEX software to project how climate change might impact the future distribution of date palm ('Phoenix dactylifera' L.) in Iran. Although the outputs of this software are only based on the response of a species to climate, the CLIMEX results were refined in the present study using two non-climatic parameters: (a) the location of soils containing suitable physicochemical properties and (b) the spatial distribution of soil types having suitable soil taxonomy for dates, as unsuitable soil types impose problems in air permeability, hydraulic conductivity and root development. Here, two different Global climate models (GCMs), CSIRO-Mk3.0 (CS) and MIROC-H (MR), were employed with the A2 emission scenario to model the potential date palm distribution under current and future climates in Iran for the years 2030, 2050, 2070 and 2100. The results showed that only c. 0.30 of the area identified as suitable by CLIMEX will actually be suitable for date palm cultivation: the rest of the area comprises soil types that are not favourable for date palm cultivation. Moreover, the refined outputs indicate that the total area suitable for date palm cultivation will increase to 31.3 million ha by 2100, compared with 4.8 million ha for current date palm cultivation. The present results also indicate that only heat stress will have an impact on date palm distribution in Iran by 2100, with the areas currently impacted by cold stress diminishing by 2100.

'Lantana camara' L. (lantana) is a major problem globally and has been declared a weed of national significance (WoNS) in Australia due to its significant negative impacts on Australian biodiversity and agriculture. Development of remote sensing techniques and modelling approaches that can map lantana accurately and project its likely future distribution should be useful for formulation of more effective, long-term management plans. The research reported here comprises seven studies based on remote sensing and modelling techniques that should contribute to better mapping and projected modelling of lantana in an era of climate change. Four image fusion techniques, namely Brovey, Hue-Saturation-Value (HSV), Principal Components (PC) and Gram-Schmidt (GS) Spectral Sharpening, were investigated using Quickbird imagery to identify the most effective fusion algorithm for mapping lantana. The results identified GS and PC spectral sharpening techniques as the most effective for this purpose. Brovey transformation and HSV, on the other hand, performed poorly with much lower overall accuracies. Three commonly available satellite images of varying spectral, spatial and radiometric resolutions from Landsat TM, SPOT 5 and Quickbird were assessed for accuracy and cost effectiveness in lantana mapping. The most cost-effective option was provided by Landsat TM with no significant difference in overall accuracies between the three types of imagery.

'Merremia peltata' is a species with uncertain status in the island nations of the Pacific region. It has been designated introduced and invasive in some countries whereas it is considered native in others. Recent increase in its abundance across some island landscapes have led to calls for its designation as an invasive species of environmental concern with biological control being suggested as a control strategy. Climate change will add to the complications of managing this species since changes in climate will influence its range limits. In this study, we develop a process-oriented niche model of 'M. peltata' using CLIMEX to investigate the impacts of climate change on its potential distribution. Information on the climatic requirements of 'M. peltata' and its current geographic distribution were used to calibrate the model. The results indicate that under current climate, 273,132 km2 of the land area in the region is climatically unsuitable or marginal for 'M. peltata' whereas 664,524 km2 is suitable to highly suitable. Under current climate, areas of climatic suitability for 'M. peltata' were identified on the archipelagos of Fiji, Papua New Guinea, Solomon Islands and Vanuatu. By the end of the century, some archipelagos like Fiji, Hawaii, New Caledonia and Vanuatu will probably become more suitable while PNG and Solomon Islands become less suitable for 'M. peltata'. The results can be used to inform biosecurity planning, management and conservation strategies on islands.

This study set out to model potential date palm distribution under current and future climate scenarios using an emission scenario, in conjunction with two different global climate models (GCMs): CSIRO-Mk3.0 (CS), and MIROC-H (MR), and to refine results based on suitability under four nonclimatic parameters. Areas containing suitable physicochemical soil properties and suitable soil taxonomy, together with land slopes of less than 10° and suitable land uses for date palm ('Phoenix dactylifera') were selected as appropriate refining tools to ensure the CLIMEX results were accurate and robust. Results showed that large regions of Iran are projected as likely to become climatically suitable for date palm cultivation based on the projected scenarios for the years 2030, 2050, 2070, and 2100. The study also showed CLIMEX outputs merit refinement by nonclimatic parameters and that the incremental introduction of each additional parameter decreased the disagreement between GCMs. Furthermore, the study indicated that the least amount of disagreement in terms of areas conducive to date palm cultivation resulted from CS and MR GCMs when the locations of suitable physicochemical soil properties and soil taxonomy were used as refinement tools.

This research examines the impacts of climate change on the potential future distribution of 'Lantana camara' L., a highly invasive species, in Australia. A process-based niche model of lantana is developed, using CLIMEX software, to estimate its potential distribution. The likely impact of climate change is explored using climate data from two Global Climate Models (GCMs), Echam Mark 3 (ECHAM3) and Hadley Mark 2 (HadCM2). The models are run with high as well as low emission scenarios projected 20 years (2030s) and 50 years (2070s) into the future. Both GCMs show a southward shift in distribution based on the climate data. Suitable areas for 'L. camara' are identified well into the 2070s. Some of these areas coincide with bioregions containing endangered ecological communities which need to be prioritized for management actions. HadCM2 shows a more restricted lantana distribution with most of the continent becoming unsuitable by the 2070s except for some areas of suitability along the eastern coast. ECHAM3 identifies larger parts of the continent, particularly to south-west Western Australia, South Australia, Victoria, Tasmania and large parts of the eastern coast as remaining suitable for lantana invasion into the 2070s.

BACKGROUND: The sunn pest, 'Eurygaster integriceps' (Hemiptera: Scutelleridae), is an economically significant pest throughout Western Asia and Eastern Europe. This study was conducted to examine the possible risk posed by the influence of climate change on its spread. CLIMEX software was used to model its current global distribution. Future invasion potential was investigated using two global climate models (GCMs), CSIRO-Mk3.0 (CS) and MIROC-H (MR), under A1B and A2 emission scenarios for 2030, 2070 and 2100. RESULTS: Dry to temperate climatic areas favour sunn pests. The potential global range for 'E. integriceps' is expected to extend further polewards between latitudes 60° N and 70° N. Northern Europe and Canada will be at risk of sunn pest invasion as cold stress boundaries recede under the emission scenarios of these models. However, current highly suitable areas, such as South Africa and central Australia, will contract where precipitation is projected to decrease substantially with increased heat stress. CONCLUSION: Estimating the sunn pest's potential geographic distribution and detecting its climatic limits can provide useful information for management strategies and allow biosecurity authorities to plan ahead and reduce the expected harmful economic consequences by identifying the new areas for pest invasion.

Climate is changing and, as a consequence, some areas that are climatically suitable for date palm ('Phoenix dactylifera' L.) cultivation at the present time will become unsuitable in the future. In contrast, some areas that are unsuitable under the current climate will become suitable in the future. Consequently, countries that are dependent on date fruit export will experience economic decline, while other countries' economies could improve. Knowledge of the likely potential distribution of this economically important crop under current and future climate scenarios will be useful in planning better strategies to manage such issues. This study used CLIMEX to estimate potential date palm distribution under current and future climate models by using one emission scenario (A2) with two different global climate models (GCMs), CSIRO-Mk3.0 (CS) and MIROC-H (MR). The results indicate that in North Africa, many areas with a suitable climate for this species are projected to become climatically unsuitable by 2100. In North and South America, locations such as south-eastern Bolivia and northern Venezuela will become climatically more suitable. By 2070, Saudi Arabia, Iraq and western Iran are projected to have a reduction in climate suitability. The results indicate that cold and dry stresses will play an important role in date palm distribution in the future. These results can inform strategic planning by government and agricultural organizations by identifying new areas in which to cultivate this economically important crop in the future and those areas that will need greater attention due to becoming marginal regions for continued date palm cultivation.

Invasive species pose a major threat to biodiversity which may be intensified by the effects of climate change, particularly if favourable climate conditions allow invasives to spread to new areas. This research explores the combined effects of climate change and soil drainage on the potential future distribution of 'Lantana camara' L. (lantana) in Queensland, Australia. Lantana is an invasive woody shrub species that has a profound economic and environmental impact worldwide. CLIMEX was used to develop a process-based niche model of lantana to estimate its potential distribution under current and future climate. Two Global Climate Models (GCMs), CSIRO-Mk3.0 and MIROC-H, were used to explore the impacts of climate change. These models were run with the A1B and A2 scenarios for 2030, 2070 and 2100. Further refinements of the potential distributions were carried out through the integration of fine scale soil drainage data in a Geographic Information System (GIS). The results from both GCMs show a progressive reduction in climatic suitability for lantana in Queensland. The MIROC-H projects a larger area as remaining at risk of lantana invasion in 2100 compared to CSIRO-Mk3.0. Inclusion of soil drainage data results in a more refined distribution. Overall results show a dramatic reduction in potential distribution of lantana in Queensland in the long term (2100). However, in the short term (2030), areas such as South East Queensland and the Wet Tropics, both regions of significant ecological importance, remain at risk of invasion consistently under both GCMs and with both the climate only and climate and soil drainage models. Management of lantana in these regions will need to be prioritized to protect environmental assets of ecological significance.

'Lantana camara' L. (lantana) is a major weed in many tropical and subtropical countries outside its native range (Day et al. 2003). In Australia, lantana currently covers more than 4 million ha and has significant ecological and economic impacts (Johnson, 2007). It has been declared a weed of national significance (Thorpe and Lynch, 2000). Climate change is an important consideration in assessing the risks posed by this weed. This research examines the effect of climate change on the distribution of lantana in continental Australia. CLIMEX Version 3 (Sutherst & Maywald, 1985) was used to develop a predictive model of the potential distribution of L. camara under current as well as climate change scenarios in Australia. This was done using two Global Climate Models (GCMs), Echam mark 3 (ECHAM3) and Hadley Centre mark 2 (HadCM2). The models were run with high as well as low emission scenarios for the 2030s and 2070s.

This research examines the impacts of climate change on the potential future distribution of 'Lantana camara' L., a highly invasive species, in continental Australia. A process-based niche model of lantana is developed, using CLIMEX software, to estimate its potential distribution. The likely impact of climate change is explored using climate data from two Global Climate Models (GCMs), Echam Mark 3 (ECHAM3) and Hadley Mark 2 (HadCM2). The models are run with high as well as low emission scenarios projected 20 years (2030s) and 50 years (2070s) into the future. Both GCMs show a southward shift in distribution based on the climate data. Suitable areas for 'L. camara' are identified well into the 2070s. Some of these areas coincide with bioregions containing endangered ecological communities which need to be prioritized for management actions. HadCM2 shows a more restricted lantana distribution with most of the continent becoming unsuitable by the 2070s except for some areas of suitability along the eastern coast. ECHAM3 identifies larger parts of the continent, particularly in south-west Western Australia, South Australia, Victoria, Tasmania and large parts of the eastern coast as remaining suitable for lantana invasion into the 2070s.