The response of infaunal macrobenthic communities beneath salmonid seacages to solid organic wastes (food pellets and fish excreta) was tested by means of the ABC-method (abundance, biomass comparison method: Warwick 1986) on samples collected from the SAFCOL seafarm at Badger Cove, southeast Tasmania, from February to July 1988. The intermittent nature of the addition of organic waste allowed us to monitor decline and recovery of the macrofauna, i.e., harvesting of a cage permitted a period of recovery whilst restocking precipitated a decline. The ABC-method proved to be a sensitive indicator of community health. Under a normal feeding regime the macrofaunal community structure indicated a moderately disturbed condition. Only 7 wk after the cage was harvested, species richness had increased markedly and the community adopted an undisturbed condition. Further improvement was apparent 14 wk post-harvest. Similarly, a decline to a moderately disturbed condition was apparent 7 wk after restocking and species richness had declined. No such changes occurred under a cage which contained fish continuously over the same period. 相似文献
One of the problems that arise due to typhoon and flooding is the generation of large volumes of disaster wastes, which poses threats to the environment and human health when not managed properly. This study focused on the identification of suitable locations of temporary storage sites (TSS) for disaster wastes using geographic information system to address gaps in disaster waste management. A set of criteria for selection was established based on the guidelines of the United Nations Environment/Office for the Coordination of Humanitarian Affairs Joint Unit (UNEP/OCHA), with constraints set based on existing guidelines and past studies. Map layers were standardized using Boolean logic, and the criteria were analyzed using ArcGIS Pro and Google Earth Pro. Areas in the Province of Cavite having high disaster risks, particularly Cavite City, Noveleta, and Kawit, were selected as study sites. From the analysis, a total of 18 TSS candidates were identified. It was determined that land use and distances from fishponds and built-up areas were the most sensitive criteria as they cover large portions of the area. For each TSS candidate, a 15-min service area map was generated using the ArcGIS Pro Network Analyst which showed that selected locations may serve multiple cities/municipalities.