Implementation Of Remote Sensing For Ecosystem Management

Implementation of Remote Sensing for Ecosystem Management

Satellite Remote Sensing and the Management of Natural Resources

The ability to anticipate the impacts of global environmental changes on natural resources is fundamental to designing appropriate and optimised adaptation and mitigation strategies. However, this requires the scientific community to have access to reliable, large-scale information on spatio-temporal changes in the distribution of abiotic conditions and on the distribution, structure, composition, and functioning of ecosystems. Satellite remote sensing can provide access to some of this fundamental data by offering repeatable, standardised, and verifiable information that is directly relevant to the monitoring and management of our natural capital. This book demonstrates how ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. By focusing on concrete applied examples in both the marine and terrestrial realms, it will help pave the way for developing enhanced levels of collaboration between the ecological and remote sensing communities, as well as shaping their future research directions. Satellite Remote Sensing and the Management of Natural Resources is primarily aimed at ecologists and remote sensing specialists, as well as policy makers and practitioners in the fields of conservation biology, biodiversity monitoring, and natural resource management.

A Guidebook for Integrated Ecological Assessments

Ecosystem management requires a planning and decision-making process that places land use in its appropriate ecological context. Because ecological assessments must be conducted at various spatial scales and across jurisdictional boundaries, approaches to assessment must be compatible and consistent with each other. A Guidebook for Integrated Ecological Assessment analyzes methods and provides standards and protocols for assessment and the integration of data.