Identification of the Pink Hibiscus Mealybug, Maconellicoccus hirsutus (Green) (Hemiptera: Sternorrhyncha: Pseudococcidae)

The pink hibiscus mealybug, Maconellicoccus hirsutus (Green), has spread rapidly in the tropical and subtropical areas of the New World especially throughout the Caribbean Islands, and has rece~t1y been discovered in California, Mexico, and Belize. All instal's of the pink hibiscus mealybug are descrIbed and illustrated to facilitate discovery of infestations. Comparisons with other common pest species are provided for most of the 8 instars, and a table is included that distinguishes the pink hibiscus mealybug from other pest species in the field

Identification of the Pink Hibiscus Mealybug, \u3ci\u3eMaconellicoccus hirsutus\u3c/i\u3e (Green) (Hemiptera: Sternorrhyncha: Pseudococcidae

The pink hibiscus mealybug, Maconellicoccus hirsutus (Green), has spread rapidly in the tropical and subtropical areas of the New World especially throughout the Caribbean Islands, and has recently been discovered in California, Mexico, and Belize. All instars of the pink hibiscus mealybug are described and illustrated to facilitate discovery of infestations. Comparisons with other common pest species are provided for most of the 8 instars, and a table is included that distinguishes the pink hibiscus mealybug from other pest species in the field

Notes on a new mealybug (Hemiptera: Coccoidea: Pseudococcidae) pest in Florida and the Caribbean : the papaya mealybug, Paracoccus marginatus Williams and Granara de Willink

Paracoccus marginatus Williams and Granara de Willink, here called the papaya mealybug, was first detected in the United States in Hollywood, Florida in 1998. By the end of 1998 it was found in four localities in the state and has since spread to nine localities in five counties. This mealybug appears to have moved through the Caribbean area since its 1994 detection in the Dominican Republic. The pest is reported to cause serious damage to tropical fruit, especially papaya, and has been detected most frequently, in Florida, on hibiscus. It is now known from Antigua, Belize, the British Virgin Islands, Costa Rica, Guatemala, Mexico, Nevis, Puerto Rico, St. Barthelemy, St. Kitts, St. Martin, and the US Virgin Islands. Hosts include: Acacia sp.(Luguminosae), Acalypha sp.(Euphorbiaceae), Ambrosia cumanensis (Compositae), Annona squamosa (Annonaceae), Carica papaya (Caricaceae), Guazuma ulmifolia (Sterculiaccea), Hibiscus rosa-sinensis (Euphorbiaceae), Hibiscus sp. (Euphorbiaceae), Ipomoea sp. (Convolvulaceae), Manihot chloristica (Euphorbiaceae), Manihot esculenta (Euphorbiaceae), Mimosa pigra (Lugiminosae), Parthenium hysterophorus (Compositae), Persea americana (Lauraceae), Plumeria sp. (Apocynaceae), Sida sp. (Malvaceae), Solanum melongena (Solanaceae). The species is believed to be native to Mexico andlor Central America

The \u3ci\u3eMatsucoccus\u3c/i\u3e Cockerell, 1909 of Florida (Hemiptera: Coccomorpha: Matsucoccidae): Potential pests of Florida pines

Matsucoccus krystalae Ahmed and Miller, new species, (Hemiptera: Coccomorpha: Matsucoccidae) is described based on morphological characters of adult females and third-instar males. We designate the lectotype of Matsucoccus alabamae Morrison. Matsucoccus alabamae Morrison and M. gallicolus Morrison are redescribed, also based on adult females and third-instar males. Detailed illustrations and descriptions are presented for each species and an identification key for the five species occurring in the eastern U.S. is provided. Analysis of 18S, 28S D2/D3, and 28S D10 loci were performed to support morphological determination. Barcodes using 5′ COI of M. alabamae and M. krystalae were generated, the first such data from authoritatively identified Matsucoccus species. Of particular interest is that most of the specimens in the study were taken in Lindgren funnel traps

A selected bibliography on parameter optimization methods suitable for hybrid computation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68333/2/10.1177_003754976700800610.pd

The Immunological Synapse: a Dynamic Platform for Local Signaling

The immunological synapse (IS) as a concept has evolved from a static view of the junction between T cells and their antigen-presenting cell partners. The entire process of IS formation and extinction is now known to entail a dynamic reorganization of membrane domains and proteins within and adjacent to those domains. Discussion The entire process is also intricately tied to the motility machinery—both as that machinery directs “scanning” prior to T-cell receptor engagement and as it is appropriated during the ongoing developments at the IS. While the synapse often remains dynamic in order to encourage surveillance of new antigen-presenting surfaces, cytoskeletal forces also regulate the development of signals, likely including the assembly of ion channels. In both neuronal and immunological synapses, localized Ca 2+ signals and accumulation or depletion of ions in microdomains accompany the concentration of signaling molecules in the synapse. Such spatiotemporal signaling in the synapse greatly accelerates kinetics and provides essential checkpoints to validate effective cell–cell communication

Multimodel projections of stratospheric ozone in the 21st century

Simulations from eleven coupled chemistry-climate models (CCMs) employing nearly identical forcings have been used to project the evolution of stratospheric ozone throughout the 21st century. The model-to-model agreement in projected temperature trends is good, and all CCMs predict continued, global mean cooling of the stratosphere over the next 5 decades, increasing from around 0.25 K/decade at 50 hPa to around 1 K/ decade at 1 hPa under the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A1B scenario. In general, the simulated ozone evolution is mainly determined by decreases in halogen concentrations and continued cooling of the global stratosphere due to increases in greenhouse gases (GHGs). Column ozone is projected to increase as stratospheric halogen concentrations return to 1980s levels. Because of ozone increases in the middle and upper stratosphere due to GHGinduced cooling, total ozone averaged over midlatitudes, outside the polar regions, and globally, is projected to increase to 1980 values between 2035 and 2050 and before lower stratospheric halogen amounts decrease to 1980 values. In the polar regions the CCMs simulate small temperature trends in the first and second half of the 21st century in midwinter. Differences in stratospheric inorganic chlorine (Cly) among the CCMs are key to diagnosing the intermodel differences in simulated ozone recovery, in particular in the Antarctic. It is found that there are substantial quantitative differences in the simulated Cly, with the October mean Antarctic Cly peak value varying from less than 2 ppb to over 3.5 ppb in the CCMs, and the date at which the Cly returns to 1980 values varying from before 2030 to after 2050. There is a similar variation in the timing of recovery of Antarctic springtime column ozone back to 1980 values. As most models underestimate peak Cly near 2000, ozone recovery in the Antarctic could occur even later, between 2060 and 2070. In the Arctic the column ozone increase in spring does not follow halogen decreases as closely as in the Antarctic, reaching 1980 values before Arctic halogen amounts decrease to 1980 values and before the Antarctic. None of the CCMs predict future large decreases in the Arctic column ozone. By 2100, total column ozone is projected to be substantially above 1980 values in all regions except in the tropics

Assessment of temperature, trace species, and ozone in chemistry-climate model simulations of the recent past

Simulations of the stratosphere from thirteen coupled chemistry-climate models (CCMs) are evaluated to provide guidance for the interpretation of ozone predictions made by the same CCMs. The focus of the evaluation is on how well the fields and processes that are important for determining the ozone distribution are represented in the simulations of the recent past. The core period of the evaluation is from 1980 to 1999 but long-term trends are compared for an extended period (1960–2004). Comparisons of polar high-latitude temperatures show that most CCMs have only small biases in the Northern Hemisphere in winter and spring, but still have cold biases in the Southern Hemisphere spring below 10 hPa. Most CCMs display the correct stratospheric response of polar temperatures to wave forcing in the Northern, but not in the Southern Hemisphere. Global long-term stratospheric temperature trends are in reasonable agreement with satellite and radiosonde observations. Comparisons of simulations of methane, mean age of air, and propagation of the annual cycle in water vapor show a wide spread in the results, indicating differences in transport. However, for around half the models there is reasonable agreement with observations. In these models the mean age of air and the water vapor tape recorder signal are generally better than reported in previous model intercomparisons. Comparisons of the water vapor and inorganic chlorine (Cly) fields also show a large intermodel spread. Differences in tropical water vapor mixing ratios in the lower stratosphere are primarily related to biases in the simulated tropical tropopause temperatures and not transport. The spread in Cly, which is largest in the polar lower stratosphere, appears to be primarily related to transport differences. In general the amplitude and phase of the annual cycle in total ozone is well simulated apart from the southern high latitudes. Most CCMs show reasonable agreement with observed total ozone trends and variability on a global scale, but a greater spread in the ozone trends in polar regions in spring, especially in the Arctic. In conclusion, despite the wide range of skills in representing different processes assessed here, there is sufficient agreement between the majority of the CCMs and the observations that some confidence can be placed in their predictions

Monitoring neural activity with bioluminescence during natural behavior

Existing techniques for monitoring neural activity in awake, freely behaving vertebrates are invasive and difficult to target to genetically identified neurons. We used bioluminescence to non-invasively monitor the activity of genetically specified neurons in freely behaving zebrafish. Transgenic fish with the Ca^(2+)-sensitive photoprotein green fluorescent protein (GFP)-Aequorin in most neurons generated large and fast bioluminescent signals that were related to neural activity, neuroluminescence, which could be recorded continuously for many days. To test the limits of this technique, we specifically targeted GFP-Aequorin to the hypocretin-positive neurons of the hypothalamus. We found that neuroluminescence generated by this group of ~20 neurons was associated with periods of increased locomotor activity and identified two classes of neural activity corresponding to distinct swim latencies. Our neuroluminescence assay can report, with high temporal resolution and sensitivity, the activity of small subsets of neurons during unrestrained behavior

Micro methods for megafauna: novel approaches to late quaternary extinctions and their contributions to faunal conservation in the anthropocene

Drivers of Late Quaternary megafaunal extinctions are relevant to modern conservation policy in a world of growing human population density, climate change, and faunal decline. Traditional debates tend toward global solutions, blaming either dramatic climate change or dispersals of Homo sapiens to new regions. Inherent limitations to archaeological and paleontological data sets often require reliance on scant, poorly resolved lines of evidence. However, recent developments in scientific technologies allow for more local, context-specific approaches. In the present article, we highlight how developments in five such methodologies (radiocarbon approaches, stable isotope analysis, ancient DNA, ancient proteomics, microscopy) have helped drive detailed analysis of specific megafaunal species, their particular ecological settings, and responses to new competitors or predators, climate change, and other external phenomena. The detailed case studies of faunal community composition, extinction chronologies, and demographic trends enabled by these methods examine megafaunal extinctions at scales appropriate for practical understanding of threats against particular species in their habitats today