<p> Kudzu (Pueraria montana) is an invasive woody vine widespread throughout the  southeastern United States, with recent studies predicting that its habitat will expand northward.  New occurrences and recent studies using climatic parameters suggest that the Midwestern  region of the United States is at the greatest risk of kudzu invasion. As there have already been  25 reports of kudzu within the Great Lakes basin, and no previous landscape models exist for the  basin, I developed probability models from existing spatial data (land cover, hydrology, geology,  annual precipitation, elevation, aspect, and known kudzu locations) using generalized additive,  bioclimate envelope, and maximum entropy methods. I further expanded each model to include  the basin and a 2.25-degree buffer in order to include 193 reported kudzu sites. For each  predictive model, I determined the area under the curve (AUC) for a receiver operating  characteristic curve (ROC) comparing false positive and false negative rates. I performed field  surveys at eight known sites of kudzu presence in Michigan, Indiana, and Ohio. Each presence  site was paired with a control (known kudzu absence site). I collected environmental data  including canopy cover, volumetric soil moisture, soil pH, litter depth, midstory species diversity  and diameter at breast height (DBH), and overstory basal area. Each environmental measure was  compared between kudzu presence and control survey sites as well as between in-basin and out?of-basin survey sites using a two-way ANOVA. Maximum entropy models produced the highest  AUC in both the basin and buffer models during model development. These models showed that  urban and disturbed habitats resulted in the greatest probability of potential habitat for kudzu. I  found no statistically significant differences in environmental characteristics between kudzu  absent and presence sites or between in- and out-of-basin sites, suggesting kudzu might be  dispersal-limited rather than limited by environmental characteristics. Continuing existing  management and further monitoring of kudzu spread is likely necessary to limit further  introduction and to mitigate spread of kudzu within the Great Lakes region.  </p>

No description available.

The Nile monitor (Varanus niloticus) is a large, carnivorous lizard that has become a notorious invasive species in Florida, USA. Initially released in the 1980s from the pet trade, the species has since established at least three breeding populations and spread throughout much of southern Florida. While current control efforts have failed to eradicate V. niloticus, it is important to attain a better understanding of its invasive dynamics to guide and inform better control strategies. In this study, available georeferenced records of V. niloticus in Florida were compiled and linked to a habitat classification map to evaluate ecotype preferences. Factored with bioclimatic data, the regional spread of V. niloticus was modelled for contemporary and projected (i.e., in the year 2050) presence using Maxent and Mahalanobis Distance models. Study results indicate that V. niloticus maintains a strong presence in eastern Lee County on the southwestern coast. Populations in Palm Beach and Miami-Dade counties on the southeastern coast may be interconnected, contrary to current descriptions that they are separated from each another. Model forecasts of conditions for the year 2050 identify widespread expansion of V. niloticus in Florida, particularly northward with the establishment of a new population center in Pasco County in the western central peninsula. This is the first known modelling study of V. niloticus in Florida and identifies regions at greater risk for future population expansion.

Currently, most scientific attention focused on bird population trends is centred on birds in the agricultural landscape. Forest bird research, on the other hand, is given far less space, despite the fact that forests in Europe often form a substantial part of the landscape in some parts. Moreover, it is undergoing drastic changes throughout Europe, and especially in the Czech Republic. In the second half of the 20th century, their quality deteriorated due to air pollution, later regenerated, but other additional challenges have emerged, such as global climate change and epidemics of wood-destroying insects. It is therefore possible to assume their fundamental influence on forest bird populations. However, most of the work examining the effects of the forest environment and forest management on bird populations is only very local, limited to ecologically valuable, and therefore quite specific, habitats, or covering only a small number of bird species. However, data on the evolution of forest birds vary across Europe. In Finland, for example, forest birds are declining, while in neighbouring Sweden the trend is the opposite. In this study, I aim to better map what characteristics of forests affect specific species of birds, in research conducted throughout the Czech Republic. I decided to explore...

No description available.

The genus Psilochalcis, of the Family Chalcididae, was originally described in 1905 by Kieffer. Mainly considered an Old-World taxon, the first North American Psilochalcis were not identified until 1981 by Grissell and Schauff. Little is known about the species distributions, biologies and ecological relationships of these parasitic wasps. This dissertation describes research conducted in central Utah setting arrays of Malaise traps in 4 different habitat types common to the Great Basin at three separate locations. A result of this sampling revealed a high abundance of multiple species of Psilochalcis wasps, particularly from one location and two habitat types. Chapter 1 describes three new species of Psilochalcis wasps namely; P. adenticulata Petersen, P. minuta Petersen, and P. quadratis Petersen. A review of all North American Psilochalcis species explains their distribution in Utah and throughout the surrounding western United States. A taxonomic key for all North American Psilochalcis species is given. Chapter 2 examines the seasonal abundance of P. minuta and P. quadratis and their associations with two common Great Basin habitat types. Both species show their highest abundance from late June through early August. Their peak abundance is shown to change dependent on the environmental conditions of temperature and precipitation. Psilochalcis minuta is significantly associated with pinyon/juniper (Pinus edulis or P. monophylla and Juniperus osteosperma) and P. quadratis is significantly associated with cheatgrass (Bromus tectorum). Chapter 3 describes the building of species distribution models for P. minuta and P. quadratis using a maximum entropy (Maxent) approach. Ten environmental variables were used to predict areas of optimal suitable habitat for each species. Multiple predicted sites were field sampled to test each model's effectiveness. Psilochalcis minuta occurred at nearly 90% of predicted sites, and P. quadratis occurred at 50% of predicted sites. Both species occurred at some non-predicted sites in other habitat types. Model analyses and field-testing results show the P. minuta model to be reliable in predicting areas of probable species occurrence, while the P. quadratis model is much less reliable in doing so. Aspect and fire disturbance show the highest percent contribution to both species' models. Slight differences in variable percent contribution between models suggest these species have sympatric distributions. Soil and slope are more important predictors of optimal suitable habitat for each species. Maintaining integrity between model predictions and field testing gave insights into other factors contributing to probable occurrence of Psilochalcis species.

Accurate species delimitation has critical implications for ecological and conservation studies; and for understanding factors driving diversification. However, a growing body of evidence indicates that morphology-based species circumspection in lichenized ascomycetes often fails to accurately represent the number of fungal species. The use of molecular data in lichen systematics provides an important alternative to traditional morphological characters for identifying natural groups and assessing evolutionary histories in challenging lichen taxa. In this work, I examined two common lichen-forming genera in western North America, Rhizoplaca and Xanthoparmelia, as models for investigating character evolution, species delimitation in morphologically and chemically diverse species, and identification of lineages in the early stages of divergence. Phylogenetic hypotheses were reconstructed to assess character evolution using sequence data from four nuclear ribosomal markers and fragments from two nuclear loci. I applied a multifaceted approach to delimit species in Rhizoplaca and Xanthoparmelia by assembling multiple lines of evidence using DNA sequence data, and genealogical and population genetic analyses. I have found that traditionally circumscribed species are not supported by molecular data. For example, in Rhizoplaca previously unrecognized lineages were identified within what has thus far been considered a single species. In contrast, morphologically and chemically distinct species within Xanthoparmelia were not supported by molecular data. Distinct medullary chemistries, growth forms, and the production of vegetative diaspores appear to have evolved independently multiple times in Xanthoparmelia. This work clearly indicates that morphological and chemical characters do not always accurately reflect lichen species diversity within even the best known and studied genera. My study of the Rhizoplaca melanophthalma species complex demonstrates that the genus Rhizoplaca, as presently circumscribed, is more diverse in western North American than previously thought. I present these analyses as a working example of species delimitation in morphologically cryptic lichenized fungi. In Xanthoparmelia diagnostic morphological and chemical characters have evolved in a highly homoplasious manner. In contrast to other studies documenting previously undiscovered fungal lineages masked within lichen species circumscribed by traditional morphological and chemical characters, my work suggests that species diversity has been overestimated in the lichen genus Xanthoparmelia.

Phylogeography and molecular phylogenetics have proven remarkably useful for understanding the patterns and processes influencing historical diversification of biotic lineages at and below the species level, as well as delimiting morphologically cryptic species. In this dissertation, I used an integrative approach coupling comparative phylogeography and coalescent-based species delimitation to improve our understanding of the biogeography and species limits of Central American freshwater fishes. In Chapter 1, I conducted a literature review of the contributions of phylogeography to understanding the origins and maintenance of lower Central American biodiversity, in light of the geological and ecological setting. I highlighted emerging phylogeographic patterns, along with the need for improving regional historical biogeographical inference and conservation efforts through statistical and comparative phylogeographic studies. In Chapter 2, I compared mitochondrial phylogeographic patterns among three species of livebearing fishes (Poeciliidae) codistributed in the lower Nicaraguan depression and proximate uplands. I found evidence for mixed spatial and temporal divergences, indicating phylogeographic “pseudocongruence” suggesting that multiple evolutionary responses to historical processes have shaped population structuring of regional freshwater biota, possibly linked to recent community assembly and/or the effects of ecological differences among species on their responses to late Cenozoic environmental events. In Chapter 3, I used coalescent-based species tree and species delimitation analyses of a multilocus dataset to delimit species and infer their evolutionary relationships in the Poecilia sphenops species complex (Poeciliidae), a widespread but morphologically conserved group of fishes. Results indicated that diversity is underestimated and overestimated in different clades by c. ±15% (including candidate species); that lineages diversified since the Miocene; and that some evidence exists for a more probable role of hybridization, rather than incomplete lineage sorting, in shaping observed gene tree discordances. Last, in Chapter 4, I used a comparative phylogeographical analysis of eight codistributed species/genera of freshwater fishes to test for shared evolutionary responses predicted by four drainage-based hypotheses of Neotropical fish diversification. Integrating phylogeographic analyses with paleodistribution modeling revealed incongruent genetic structuring among lineages despite overlapping ancestral Pleistocene distributions, suggesting multiple routes to community assembly. Hypotheses tests using the latest approximate Bayesian computation model averaging methods also supported one pulse of diversification in two lineages diverged in the San Carlos River, but multiple divergences of three lineages across the Sixaola River basin, Costa Rica, correlated to Neogene sea level events and continental shelf width. Results supported complex biogeographical patterns illustrating how species responses to historical drainage-controlling processes have influenced Neotropical fish diversification.

In Sweden, the garden lupine (Lupinus polyphyllus) has a negative effect on the native flora and fauna as it is a highly competitive plant, with high dispersal and growth rates and nitrogen-fixing ability. Landscape metrics are important tools to analyse and understand landscape structure, and could also support the planning of control measures for the invasive lupine. The aim of this study was to use a modelling analysis to evaluate fifty study areas with varying lupine density, ranging from single or sparse to dense or dominant. Several landscape metrics were used to quantify the frequency of lupine presence, and to try to quantify the threat for the modelled species-rich road verges. The study aim was to assess which landscape metrics could predict the weighted mean area of lupine. The research questions in this study were “is there a correlation between different landscape metrics and the weighted mean area of lupine stands?” and “how well can different landscape metrics quantify the threat for road verge communities , in terms of the amount of lupines in the landscape?”. The study area is located in the Heby-region, Uppland (Sweden). Bivariate linear regression was used to test if the mean length, Proximity (Px), distance to nearest neighbour or the number of lupine stands had any significant relation to the weighted mean area. The results showed a significant relationship between the weighted mean area and the mean length of the lupine stands (R²=0.366) and between the weighted mean area and the Px (R²=0.117). This analysis shows that, when data of lupine density are not available, mean stand length and Px might be suitable alternatives. Using this method could assist the work of prioritizing which invaded areas to manage. The method might also be cost-and time-efficient when data of lupine density is unavailable. / I Sverige har trädgårdslupinen (Lupinus polyphyllus) en negativ effekt på den inhemska floran och faunan då det är en mycket konkurrenskraftig växt, med hög spridnings- och tillväxthastighet och kvävebindande förmåga. Landskapsmått är viktiga verktyg för att analysera och förstå landskapets struktur, och skulle också kunna stödja planeringen av bekämpningsåtgärder av den invasiva lupinen. Syftet med studien var att använda en modelleringsanalys för att utvärdera femtio studieområden med varierande lupintäthet, från enstaka eller glesa till täta eller dominerande. Flera landskapsmått användes för att kvantifiera frekvensen av lupinförekomst och för att försöka kvantifiera hotet för de modellerade artrika vägkanterna. Studiens syfte var att bedöma vilka landskapsmått som kunde förutsäga den viktade medelarean för lupinbestånden. Forskningsfrågorna i denna studie var "finns det ett samband mellan olika landskapsmått och den viktade medelarean för lupinbestånd?" och "hur väl kan olika landskapsmått kvantifiera hotet för artrika vägkanter, i fråga om mängden lupiner i landskapet?". Studieområdet är beläget i Heby-regionen, Uppland (Sverige). Bivariat linjär regression användes för att testa om medellängden, Proximity (Px), avståndet till närmsta lupinbestånd eller antalet lupinbestånd hade ett signifikant samband till lupinbeståndens viktade medelarea. Resultaten visade ett signifikant samband mellan den viktade medelarean och medellängden av lupinbestånden (R²=0,366) och mellan den viktade medelarean och Px (R²=0,117). Analysen visar att, när data om lupinbeståndens täthet inte finns tillgängliga, kan lupinbeståndens medellängd och Px vara lämpliga alternativ. Att använda denna metod skulle kunna underlätta arbetet med att prioritera vilka invaderade områden som ska förvaltas. Metoden kan också vara kostnads- och tidseffektiv när data om lupintäthet inte finns tillgänglig.

Aim: The abundances and distributions of some species are more closely matched to variations in climate than others. Species traits that might influence how well the distribution and abundance of a species are matched to climatic variation include life history (e.g., body size and dispersal ability), ecology (e.g., habitat specialization and territoriality) and demography (e.g., population size). Here, we used a survey of bird abundances across the USA to assess the extent to which species abundances and distributions are predicted by climate (i.e., climate matching) and how species traits relate to interspecific variation in climate matching. Location: USA. Time period: 1983–2018. Major taxa studied: Birds. Methods: Species abundances were obtained from the North American Breeding Bird Survey. Climate matching was estimated as the predictive performance of species–climate models fitted using boosted regression trees and generalized additive models and modelled as a function of species traits. Results: Species traits explained 56% of the variation in climate matching among species. Intermediate-sized species were more well matched to climate than smaller or larger species, as were species that lived primarily in forested compared with open habitats, species that were locally more abundant and species that were more territorial. Alternatively, species that were more specialized or had high variability in abundance among sites were less well matched to climate. We also found that species classified as “near threatened” were more well matched to climate, suggesting that these species might be more vulnerable to climate change. However, species classified as “vulnerable” were more decoupled from climate than those of “least concern”, possibly owing to ecological drift associated with progressive population declines. Main conclusions: Our findings provide an ecological basis for understanding the extent to which species abundances and distributions match broad climatic gradients, which can provide the groundwork to improve our ability to predict distributions under global change.