Pavement maintenance management.

"November 1982."

Organizational, direct support, and general support maintenance, repair parts and special tools list (including depot maintenance repair parts and special tools) for trainer, launch effects, guided missile M54, 6920-00-175-6327, pedestral,infrared transmitter M5, 6920-00-107-0667, monitoring set, guided missile system, training AN/TSQ-T1, 6920-00-165-6369 ...

Includes index.

Operator and organizational maintenance manual for guided missile system, surface attack M47; training equipment consisting of, monitoring set, guided missile system, training, AN/TSQ-T1; trainer handling, GM launcher, M57; trainer, launch effects, guided missile M54; transmitting set, infrared, M89E1 (Dragon medium antitank/assault weapon system).

"September 1979."

Aeronautical equipment maintenance management policies and procedures.

"25 November 1988."

Repairs and utilities; grounds maintenance and land management.

Bibliography: p. 137-139.

Clinical notes on uterine surgery, with special reference to the management of the sterile condition.

Mode of access: Internet.

Railroad engineering; an authoritative manual of modern practice in the survey, location, and construction of railroad lines and terminals, their operation and maintenance, and the financing and economic management of railroad coporations,

Mode of access: Internet.

Guidelines for air quality maintenance planning and analysis.

Vol. 7: second ed., 1975.

Toward more effective management : the role of objective setting and monitoring : training materials /

"The work involved in developing and producing these materials was performed pursuant to Contract No. HEW-100-75-0055 with the U.S. Department of Health, Education, and Welfare ..."

Assessment of relationships between precipitation and satellite derived vegetation condition in South Australia

The normalised difference vegetation index (NDVI) has evolved as a primary tool for monitoring continental-scale vegetation changes and interpreting the impact of short to long-term climatic events on the biosphere. The objective of this research was to assess the nature of relationships between precipitation and vegetation condition, as measured by the satellite-derived NDVI within South Australia. The correlation, timing and magnitude of the NDVI response to precipitation were examined for different vegetation formations within the State (forest, scrubland, shrubland, woodland and grassland). Results from this study indicate that there are strong relationships between precipitation and NDVI both spatially and temporally within South Australia. Differences in the timing of the NDVI response to precipitation were evident among the five vegetation formations. The most significant relationship between rainfall and NDVI was within the forest formation. Negative correlations between NDVI and precipitation events indicated that vegetation green-up is a result of seasonal patterns in precipitation. Spatial patterns in the average NDVI over the study period closely resembled the boundaries of the five classified vegetation formations within South Australia. Spatial variability within the NDVI data set over the study period differed greatly between and within the vegetation formations examined depending on the location within the state. ACRONYMS AVHRR Advanced Very High Resolution Radiometer ENVSAEnvironments of South Australia EOS Terra-Earth Observing System EVIEnhanced Vegetation Index MODIS Moderate Resolution Imaging Spectro-radiometer MVC Maximum Value Composite NDVINormalised Difference Vegetation Index NIRNear Infra-Red NOAANational Oceanic and Atmospheric Administration SPOT Systeme Pour l’Observation de la Terre. [ABSTRACT FROM AUTHOR]

Introduced mammals in Australian rangelands: Future threats and the role of monitoring programmes in management strategies

In the present paper, we have provided an initial assessment of the current and future threats to biodiversity posed by introduced mammals (predators and herbivores) inhabiting the Australian rangelands, exploring trends in populations and options for management. Notably, rabbits have declined in recent years in the wake of rabbit haemorrhagic disease, populations of feral camels have increased dramatically and foxes appear to have moved northwards, thereby threatening native fauna within an expanded range. Following on, we developed a framework for monitoring the impacts of introduced mammals in the Australian rangelands. In doing so, we considered the key issues that needed to be considered in designing a monitoring programme for this purpose and critically evaluated the role of monitoring in pest animal management. Finally we have provided a brief inventory of current best-practice methods of estimating the abundance of introduced mammal populations in the Australian rangelands with some comments on new approaches and their potential applications.

Population monitoring for kangaroo management

In wildlife management, the program of monitoring will depend on the management objective. If the objective is damage mitigation, then ideally it is damage that should be monitored. Alternatively, population size (N) can be used as a surrogate for damage, but the relationship between N and damage obviously needs to be known. If the management objective is a sustainable harvest, then the system of monitoring will depend on the harvesting strategy. In general, the harvest strategy in all states has been to offer a quota that is a constant proportion of population size. This strategy has a number of advantages over alternative strategies, including a low risk of over- or underharvest in a stochastic environment, simplicity, robustness to bias in population estimates and allowing harvest policy to be proactive rather than reactive. However, the strategy requires an estimate of absolute population size that needs to be made regularly for a fluctuating population. Trends in population size and in various harvest statistics, while of interest, are secondary. This explains the large research effort in further developing accurate estimation methods for kangaroo populations. Direct monitoring on a large scale is costly. Aerial surveys are conducted annually at best, and precision of population estimates declines with the area over which estimates are made. Management at a fine scale (temporal or spatial) therefore requires other monitoring tools. Indirect monitoring through harvest statistics and habitat models, that include rainfall or a greenness index from satellite imagery, may prove useful.