Managing a large number of heterogeneous information sources and repositories, including databases, knowledge bases, file systems, digital library is a general problem faced by many organizations today. In this context, forest web data sources provide complex query and analysis capabilities such as sequence similarity search engines that need to be integrated as well as the data. In this paper we introduce a framework to provide abilities for accessing and managing, in a metadata integrated manner, multiple forest information resources. Afterwards, the MIFOR (Metadata Integration for managing Forest Information Resources) prototype is studied and developed as a resource discovery tool to map, convert and harvest metadata from structured and semi-structured sources.