This book provides current knowledge about tropical rain forest genetics and its implications for the profitable and sustainable management of forest resources in Southeast Asia. Each chapter covers a major topic in the evolutionary biology of tropical rain forest trees and how management systems interact with these natural dynamics. Authors provide an up-to-date and insightful review of important scientific findings and conclude with practical recommendations for the modern forester in Southeast Asia. Several chapters provide compelling discussions about commonly neglected aspects of tropical forestry, including the impact of historical dynamics of climate change, anthropogenic threats to genetic viability, and the important role of wildlife in maintaining genetic diversity. These discussions will promote a deeper appreciation of not only the economic value of forests, but also their mystery and intangible values. The silvicultural industry in Southeast Asia is a major contributor to the regional economy but the connection between scientific research and the application and development of policy could be improved upon. This book will help bridge that gap. This book will prove beneficial reading for forestry students, professional forest managers, and policy makers, who do not have technical training in genetics. It is also intended for non-specialists who are involved in the tropical timber industry, from the local forest manager to the international timber purchasing agent.
Southeast Asian forests are largely known for their unique and highly diverse
biological resources, valuable timber and non-timber species and natural
products of medicinal value yet to be exploited. Sustainable management of
these forests has become an international agenda since the signing of the
Convention on Biological Diversity in Rio de Janeiro 1992, requiring actions at
the regional and national levels. International and national funding for research
on biodiversity and ...
Untuk keperluan pengawasan tersebut , Dewan Syariah Nasional membuat garis panduan syariah yang bersumber dari hukum - hukum Islam yang menjadi dasar dalam pengawasan dan pengembangan produk - produk yang akan dikeluarkan oleh lembaga ...
SECOND CHANCE THE BOOK THAT HAS INSPIRED PEOPLE To CHANGE
THEIR LIVES “In my counseling and teaching practice, we give our clients a copy
of Second Chance injust the way adoctor would be sure to give a prescription to
a patient. My colleagues and I know that the very reading of Second Chance will
have atherapeutic effect on our clients. I know of no book that has more
condensed wisdom and inspiration than Second Chance. When I tell others that I
know of a ...
Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.
Mobile data mining, data stream mining, and parallel and distributed data mining
and mobile software agents are four areas that collectively contributed to the
possibility of developing PDM. Mobile software agents as a flexible software ...
