Addressing among-group variation in covariate effects using multilevel models

Multilevel models are used to model processes associated with hierarchical data structures. Despite infrequent use in the biological and environmental sciences, the use of these models with hierarchically-structured data conveys multiple advantages. These include the assessment of whether covariate effects differ among groups or clusters, and separate estimation of covariate effects by hierarchical level (thereby addressing atomistic and aggregation fallacy concerns). We illustrate these advantages using larval mayfly count data derived from annual surveys on the Mississippi River and a continuous covariate (water depth).     

The antifungal activity of the leaf gland volatile oil of sweet gale (Myrica gale) (Myricaceae)

Summary The antifungal activity of volatile oil obtained from the leaves of sweet gale (Myrica gale) has been investigated. Fungi, isolated from the leaves ofM. gale, were grown in liquid medium containing the oil and its effect on biomass production was gauged. The oil inhibited growth of all species of fungi to greater or lesser extent. Sesquiterpenes were more active than monoterpenes, and among the sesquiterpenes germacrone was marginally more active than -elemenone. These results support the proposition that the volatile oil ofM. gale has a role in resistance to fungal pathogens.     

Nitrogenous excretion by the sediment-living bivalve Nucula tenuis from the Oslofjord,Norway

The resting rate of ammonia excretion for the sediment living bivalve Nucula tenuis (Montagu) was found to be 38.8 gN mg^-1 dw h^-1×10^-4 in August and November 1985 in the Oslofjord. The excretion rate of experimental individuals was 37% higher when placed in artificial glass bead sediment. The regression between dry weight and excretion was logN excretion=1.338+1.192 log x, where excretion is gN individual^-1 h^-1×10^-4 and log x=mg dry weight.     

Tracking acid mine-drainage in Southeast Arizona using GIS and sediment delivery models

This study investigates the application of models traditionally used to estimate erosion and sediment deposition to assess the potential risk of water quality impairment resulting from metal-bearing materials related to mining and mineralization. An integrated watershed analysis using Geographic Information Systems (GIS) based tools was undertaken to examine erosion and sediment transport characteristics within the watersheds. Estimates of stream deposits of sediment from mine tailings were related to the chemistry of surface water to assess the effectiveness of the methodology to assess the risk of acid mine-drainage being dispersed downstream of abandoned tailings and waste rock piles. A watershed analysis was preformed in the Patagonia Mountains in southeastern Arizona which has seen substantial mining and where recent water quality samples have reported acidic surface waters. This research demonstrates an improvement of the ability to predict streams that are likely to have severely degraded water quality as a result of past mining activities.     

Foraging and homing behaviour in the high-shore, crevice-dwelling limpet Helcion pectunculus (Prosobranchia: Patellidae)

The foraging activity of the high-shore, crevice-dwelling limpet Helcion pectunculus (Gmelin, 1791) (Prosobranchia: Patellidae) from an exposed shore on the eastern Cape coast of South Africa was monitored. Activity was compared during spring and neap tides and between spring, summer, autumn and winter. Rhythms of activity in this limpet varied depending upon microhabitat; individuals inhabiting both east- and west-facing rock surfaces were active during nocturnal low tides, but limpets on west-facing rock surfaces were also active during daytime low tides, whilst in the shade. Individuals travelled further during foraging excursions in winter (xˉ=85.53 cm) than in either spring (xˉ=55.7 cm) or summer (xˉ=48.8 cm) and also during spring low tides (xˉ=89.8 cm) compared with neaps (xˉ=40.9 cm). H. pectunculus exhibited rigid homing to a fixed scar within a crevice, and feeding excursions were found to consist of three distinct phases: a relatively rapid outward phase, a much slower foraging phase and a rapid homeward phase. Whether or not these limpets graze throughout an excursion is not known. Foraging was always highly directional, with a mean vector which took limpets onto an area of the rock face with the highest microalgal biomass. The fact that H. pectunculus took advantage of optimal feeding areas and memorized their location to enable return visits suggests a learning component in herbivorous gastropod foraging behaviour. Received: 29 December 1997 / Accepted: 8 May 1998     

The epibionts of Sargassum muticum in British waters

This study was initiated by suggestions that the Japanese brown alga Sargassum muticum (Yendo) Fensholt, recently found to be invading shores along the eastern Solent (Southern England), might replace certain common native plants, to the possible detriment of local epibiont communities. Eighty animal, 52 plant and 9 fungal species have been identified from S. muticum plants collected at four different localities. Animal fouling was most conspicuous on permanently submerged plants growing along the edge of floating harbour installations. Algal epibionts were most numerous and varied on S. muticum from tidal lagoons on a well-scoured but sheltered rocky shore. Most of the epibionts colonised the perennial portions of the plants, close to the holdfast. A few settled along the fronds in summer, but none were found in the region of the secondary and tertiary apical meristems. Seasonal variations in the abundance and diversity of algal epibionts were observed; most were restricted to summer, but winter and all-year-round species were also noted. Fungal studies on S. muticum have isolated only saprophytic species, which are also common locally on other Phaeophyceae. Overall, these data suggest that S. muticum can support a considerable epibiota and, therefore, its introduction seems unlikely to result in a significant change in local epiphyte communities.     

Physical factors controlling abundance of meiofauna on tidal and atidal beaches

Quantitative samples of interstitial sand beach meiofauna were collected from Morocco along the North African coast (Algeria and Tunisia) and northwards to Lebanon, Turkey and Cyprus. Data on the sediment median diameter, sorting coefficient and beach temperature were used to construct multiple-regression equations relating these factors to the total meiofaunal numbers. Curvilinear regression was found to give a significantly better fit than linear regression in all cases but one. Treating the whole Mediterranean data, the equation explained 9.3% of the variance in meiofaunal abundance. Within narrower geographical areas, however, the equations explained significantly more of the variance: 56.70% of Moroccan tidal beach data, 75.60% of South Tunisian tidal beach data, and 62.3% of South Tunisian atidal beach data. For the tidal beach equations sorting was the most important factor, followed by temperature and median diameter. It is suggested that the factors controlling meiofaunal abundance on these beaches are likely to be wave, tide and current action which also control sorting. The lack of fit of most atidal beach data suggests that here biological interactions such as competition and predation may control meiofaunal abundance. The detection of beaches affected by pollutants may also be possible using regression techniques. Beaches having a significantly enriched population (sewage-induced) or depleted population (pollutant-induced) can be readily detected.     

Do EPA regulations affect labor demand? Evidence from the pulp and paper industry

Any opinions and conclusions expressed herein are those of the author(s) and do not necessarily represent the views of the U.S. Census Bureau or the U.S. Environmental Protection Agency. All results have been reviewed to ensure that no confidential information is disclosed. We thank Wang Jin and Shital Sharma for excellent research assistance; we also thank Jim Davis at the Boston Research Data Center for his continued help, and Reed Walker and participants at the 2011 AERE Summer Conference and the Environmental Economics seminar at Harvard University?s Kennedy School for helpful comments. Any remaining errors are ours.