Science-based restoration monitoring of coastal habitats, Volume One: A framework for monitoring plans under the Estuaries and Clean Waters Act of 2000 (Public Law 160-457)

Executive Summary: The Estuary Restoration Act of 2000 (ERA), Title I of the Estuaries and Clean Waters Act of 2000, was created to promote the restoration of habitats along the coast of the United States (including the US protectorates and the Great Lakes). The NOAA National Centers for Coastal Ocean Science was charged with the development of a guidance manual for monitoring plans under this Act. This guidance manual, titled Science-Based Restoration Monitoring of Coastal Habitats, is written in two volumes. It provides technical assistance, outlines necessary steps, and provides useful tools for the development and implementation of sound scientific monitoring of coastal restoration efforts. In addition, this manual offers a means to detect early warnings that the restoration is on track or not, to gauge how well a restoration site is functioning, to coordinate projects and efforts for consistent and successful restoration, and to evaluate the ecological health of specific coastal habitats both before and after project completion (Galatowitsch et al. 1998). The following habitats have been selected for discussion in this manual: water column, rock bottom, coral reefs, oyster reefs, soft bottom, kelp and other macroalgae, rocky shoreline, soft shoreline, submerged aquatic vegetation, marshes, mangrove swamps, deepwater swamps, and riverine forests. The classification of habitats used in this document is generally based on that of Cowardin et al. (1979) in their Classification of Wetlands and Deepwater Habitats of the United States, as called for in the ERA Estuary Habitat Restoration Strategy. This manual is not intended to be a restoration monitoring “cookbook” that provides templates of monitoring plans for specific habitats. The interdependence of a large number of site-specific factors causes habitat types to vary in physical and biological structure within and between regions and geographic locations (Kusler and Kentula 1990). Monitoring approaches used should be tailored to these differences. However, even with the diversity of habitats that may need to be restored and the extreme geographic range across which these habitats occur, there are consistent principles and approaches that form a common basis for effective monitoring. Volume One, titled A Framework for Monitoring Plans under the Estuaries and Clean Waters Act of 2000, begins with definitions and background information. Topics such as restoration, restoration monitoring, estuaries, and the role of socioeconomics in restoration are discussed. In addition, the habitats selected for discussion in this manual are briefly described. (PDF contains 116 pages)

Population dynamic and stock assessment of lobster resources of Cha-bahar region (with particular ref. to Panulirus homarus)

Amoungst the three spiny lobster species in southern Iranian waters, Panulirus homarus is the only commercial species with a total landings of 20-45 tons per year indicating a decrease in both landings and CPIJE in recent years. Fishing has been regulated according to the no. of fisherman and effort, and trap ha's replaced the gillnef since 1994. Fishing is carried out along the rocky shores of Chah-Bahar region through different landing places by local fisherman for a period of about two months. Most of catch is exported mainly frozen. This research was sposored by the Fisheries Research Dept. and aimed to work on the population dynamics and stock assessment in order to stablish a better understandings of the stock and hence a proper management in this region. Sampling was done for. 10 successive months in _5 major landing places from 1994 to 1995 with no sampling during the monsoon period through June to July. Althogethere, 8500 specimen were collected and the biometry was done accordings to the sex, region and month. Average total length, total weight and carapace length was obtained 216mm., 452 gr. and 75mm. respectively. Total length-weight relationship of both sexes was calculated and follows the cubic law. Regression coefficients for both sexes was 2.8231, males 2.9616, total females 2.7490, berried females 2.6611- and non-berried females