This objective is scheduled to be assessed in years 3 through 5.Other Sub-project III Research Activities not Related to Specific ObjectivesIn addition to the research components described in detail in the report, we have been working on thefollowing projects CFEA related research objectives.1. Invasion of a Mined Landscape: what habitat characteristics are influencing theoccurrence of invasive plants?D. Lemke, C. Schweitzer, I. Tazisong, Y. Wang, and J. BrownUsing the Shale Hills region of <strong>Alabama</strong> as a case study, we examined the environmental and habitatfactors that may contribute to favorable conditions for heightened plant invasion, and developedmodels for predicting the probability of occurrence of invasive plant species. We conductedvegetation surveys, soil sampling, and environmental evaluation on the mined landscape.2. Geospatial Assessment of Non-native Vegetation: application of geospatial models topredicting alien plants on reclaimed mines in the Shale Hills regionD. Lemke, C. Schweitzer, W. Tadesse, Y. Wang, J. BrownUsing the Shale Hills region of <strong>Alabama</strong> as a case study, we examined the environmental and habitatfactors that may contribute to favorable conditions for heightened plant invasion, and developedmodels for predicting the probability of occurrence of invasive plant species. We conductedvegetation surveys, soil sampling, and environmental evaluation on the mined landscape.3. Habitat Modeling of Alien Plant Species at Varying Levels of Occupancy in the CumberlandPlateauD. Lemke, P. Hulme, J. BrownWe assess predictive habitat models for three invasive plant species, at differing level of occurrenceutilizing two different habitat-modeling techniques, logistic regression and maximum entropy. Theinfluence of disturbance, spatial and temporal heterogeneity and other landscape characteristics areassessed by creating regional level models based on occurrence records from the United StatesDepartment of Agriculture, Forest Service, Forest Inventory and Analysis database. Logisticregression and maximum entropy (MaxEnt) models were assessed independently and evaluated aspredictive tools to test the value of presence/absence and presence only data in predicting speciesdistributions. Ensemble models were also developed that combined the predictions of the twomodeling approaches to obtain a more robust prediction estimate.
4. Invasive Potential of Five Alien Trees in the Forest of the Southern Region, United StatesD. Lemke, P. Hulme, J. Brown, J. Miller, J. CoulstonIn the southern region of the United States invasive plants are one of the threats to the long termsustainability of our forest ecosystems, along with climate and land use change. We assessed thepotential distribution of five alien trees in the southern region on forested lands. Maximum entropyalgorithms were used to integrate anthropogenic and environmental variables with speciesoccurrence data from the USDA Forest Service. All five species were predicted to significantlyincrease their distribution at the regional level under current conditions. Four climate changescenarios were then applied to the current potential with the five species responded exceedinglydifferent to the future scenario, particularly when climate variables had higher variability betweencurrent conditions and future scenarios.5. Value of Systematic Versus Opportunistic Data for Species Distribution Modeling: casestudy of five invasive trees in the southern United StatesD. Lemke, P. Hulme, J. Brown, J. Miller, J. CoulstonInvasive species are one of the fundamental ecological challenges we are currently facing.Knowledge is the best tool in this battle, in not only determining which species will become the mostdetrimental but where they will have the greatest negative impact. One tool that is available toassist in this fight is species distribution models (SDMs). SDMs make predictions about unsampledlocations using the relationships between species and environmental parameters. They are designedto make use of known information of species that are at equilibrium with the environment, andwork best when a full range of the environment has been sampled. However, they have also shownpromise for the study of invasive species, species that have yet to reach equilibrium, or not fullysampled. In this chapter we assess the applicability of different types of datasets to modeling fiveinvasive trees with forests of the southern United States. We used intensively collected systematicabsence/presence data (Forest Inventory and Analysis, FIA), occurrence only, opportunistic data(Global Biodiversity Information Facility, GBIF), and combined datasets.INTERNATIONAL RESEARCH AND EXCHANGENatural resources in GuyanaR. Fraser, D. Singh, H. Alam, L. Carrington, P. ChesneyThis involved four activities: A facilitated discussion of field-training needs in the natural resourcessector in Guyana, Draft and submit 8 proposals to study Mangrove restoration efforts in Guyana, Leadstakeholder discussion and develop the terms of reference for an International Biodiversity Centre, and6 nation dialogue on natural resource conservation and management of the Guyana.
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graduate in the Spring of 2013.Name
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RESEARCH FINDINGS 2012The Center fo
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urn-only stands did not decrease po
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1000 bp500 bp200 bpWe examined cros
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