Revolution and continuity in philosophy: "medievalism" and "modernity"

Este artigo revisa a idéia de filosofia "medieval" and põe ênfase na variedade de significados daquela palavra. O autor crê que necessitamos de uma nova terminologia para aquele período da história do pensamento e sugere, por razões históricas, as expressões "United Age" e "Formation Age". Em todo o artigo prevalece uma tentativa de compreender a natureza da atividade filosófica e da história da filosofi

Spatio-Temporal Models of Juvenile and Adult Sheepshead (Archosargus probatocephalus) in Tampa Bay, Florida from 1996 to 2016

Spatio-temporal distribution models for juvenile and adult Sheepshead (Archosargus protocephalus) were developed for Tampa Bay, FL using Boosted Regression Trees. Juvenile Sheepshead were primarily associated with month of collection (highest occurrence in May and June), low salinities (\u3c10), and increased distance from a tidal inlet. Adult Sheepshead were more frequently detected closer to inlets in September through November, with an increasing trend through time, and had the highest probability of detection in areas with the highest salinity levels. Our results indicate that juvenile Sheepshead are associated with tidal tributaries on the east side of Tampa Bay and adult Sheepshead are associated with the major inlet into the Gulf of Mexico. These findings reflect seasonal and ontogenetic shifts in distribution that are necessary to inform spatially-based management approaches and to prioritize areas for habitat conservation

Spatial Biodiversity Patterns of Fish within the Aransas Bay Complex, Texas

The goal of this study was to consider the effects of habitat type and environmental conditions on the biodiversity of fishes within the Aransas Bay Complex, Texas and provide a management framework and an ecosystem examination of Essential Fish Habitat (EFH). A stratified, randomized experimental design was used to collect fishes from seagrass, oyster, and non-vegetated habitats within the Aransas Bay Complex from February through May 2010 over large spatial scales at the “bay-complex” level. We developed a biodiversity habitat model using Boosted Regression Trees (BRT). Fitted functions from the “best” fit BRT habitat model indicated that fish biodiversity was greatest in seagrass areas closest to the inlet (\u3c 80 cost-distance units) during early spring, with temperatures \u3c 18°C and dissolved oxygen levels between 7-8 mg O2/L in shallow depths (\u3c 0.5 m). Results from community assemblage analyses showed significant differences among habitats with highest abundance of fishes found in seagrass, followed by non-vegetated substrate, and oyster reef. The relatively high abundance of fishes at non-vegetated bottom compared to the low abundance found at the oyster reef was most likely due to the spatial location of the habitats sampled. Our results indicate that future conservation measures should focus along the eastern and southern areas of Aransas Bay to protect EFH with highest levels of biodiversity. The modeling approach developed in this study provides a framework for natural resource managers to identify habitats supporting the greatest biodiversity of juvenile fishes

Estimating Abundance of Reef-Dwelling Sharks: A Case Study of the Epaulette Shark, Hemiscyllium ocellatum (Elasmobranchii: Hemiscyllidae).

v. ill. 23 cm.QuarterlyBenthic reef sharks play an important role in reef ecosystems, but little is known about their abundance or population dynamics. Abundance of the epaulette shark, Hemiscyllium ocellatum (Bonnaterre), on Heron Island Reef, Great Barrier Reef, Australia, was examined via a mark-recapture study. A total of 496 sharks was tagged between July 1994 and August 1997 in a 0.25-km2 area of reef flat, with 80 tagged sharks recaptured for a total of 102 recapture events. Captured individuals ranged in size from juveniles to adults (285–750 mm total length). Recaptured sharks were collected after 1–725 days at liberty and at distances of 0–329 m from their original capture point. The overall recapture rate was 20.6% with an estimated 17.5% tag loss. Population size was estimated using both closed and open population models. Closed population models produced various abundance estimates, with the Chao MðthÞ ranked best in model performance with an estimate of 2,224 sharks and 95% confidence intervals ranging from 1,730 to 2,916. Open population models produced lower estimates, with the Jolly D model producing an estimate of 559 individuals within the study site and confidence intervals ranging from 26 to 1,092. All models produced density estimations of 0.3 to 1.2 sharks per 100 m2. Based on thorough examination of model assumptions and results, open population models appear to provide the best population estimate within the study area