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Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques
Climate change, resulted from the rise in global temperature,
drives many stressors which make it difficult to predict the
outcome in a general way. However, impact of climate change is so
far more visible in agriculture than other sectors. Rise in
temperature causes oxidation of soil organic carbon and affect
biogeochemical processes and mechanisms, which make soil health and
productive potential of soils weaker. It also affects weather at
local regional and global scale, and hydrological cycle as well,
which result in drought, flood, cyclones etc. Simultaneously it
impinges directly upon reproductive biology of crops by reducing
pollen viability and making spikelets sterile, which result in crop
yield reduction. In India, impact of climate change on agriculture
is predicted to occur more in northern parts, where wheat
production may suffer losses of 4-5 million tons for each degree
rise in temperature. Rice, pearl millet, soybean are other crops in
that line. Globally, it has been predicted to have a huge burden in
future as the world needs to feed nine billion population by the
turn of the 21st century. Several techniques like conservation
agriculture, integrated farming, crop diversification and carbon
sequestration through agroforestry advocated helping climate change
mitigation and adaptation have been discussed in detail in this
book. Therefore, this book serves as a repository of information on
climate change, mitigation and adaptation in relation to
agroforestry, which can be useful to planner, researchers and
undergraduate and post graduate students pursuing studies in the
field of agricultural and allied sciences.
To understand the catastrophic processes of forest fire danger,
different deterministic, probabilistic, and empiric models must be
used. Simulating various surface and crown forest fires using
predictive information technology could lead to the improvement of
existing systems and the examination of the ecological and economic
effects of forest fires in other countries. Predicting, Monitoring,
and Assessing Forest Fire Dangers and Risks provides innovative
insights into forestry management and fire statistics. The content
within this publication examines climate change, thermal radiation,
and remote sensing. It is designed for fire investigators, forestry
technicians, emergency managers, fire and rescue specialists,
professionals, researchers, meteorologists, computer engineers,
academicians, and students invested in topics centered around
providing conjugate information on forest fire danger and risk.
Shivalik ranges cover an area of about 2.14 million ha in Himachal
Pradesh, Uttarakhand, Jammu and Kashmir, Punjab and Haryana States
of north-west India. Over exploitation of the resources in the
region had lead to soil erosion resulting in the rise of riverbeds,
siltation of tanks, reservoirs and other natural water bodies. Soil
erosion greater than 80 t ha-1 yr-1 have been recorded from denuded
hills at places. More than 70 per cent people of the region are
dependent on agriculture, however, only 18 per cent of the
cultivated area is irrigated. Agroforestry where tree and crops are
integrated with each other had been recommended worldwide to check
soil erosion and simultaneously achieve production goals. Adoption
of scientifically proven agroforestry systems in Shivaliks can
reverse the degradation and improve the economic status of the
farmers of the region. Extensive research had been done till date
on role of agroforestry in resource conservation and livelihood
security in the region. The book is an attempt to compile the
available knowledge on the subject. There are 20 s in the book
covering various topics relating agroforestry systems with soil and
water conservation, livelihood security, slope protection through
mechanical and vegetative measures, fertility build up, mine spoil
rehabilitation, bamboos, climate change and carbon sequestration.
The environmental and economic importance of monitoring forests and
agricultural resources has allowed remote sensing to be
increasingly in the development of products and services responding
to user needs. This volume presents the main applications in remote
sensing for agriculture and forestry, including the primary soil
properties, the estimation of the vegetation's biophysical
variables, methods for mapping land cover, the contribution of
remote sensing for crop and water monitoring, and the estimation of
the forest cover properties (cover dynamic, height, biomass). This
book, part of a set of six volumes, has been produced by scientists
who are internationally renowned in their fields. It is addressed
to students (engineers, Masters, PhD), engineers and scientists,
specialists in remote sensing applied to agriculture and forestry.
Through this pedagogical work, the authors contribute to breaking
down the barriers that hinder the use of radar imaging techniques.
Forest fires cause ecological, economic, and social damage to
various states of the international community. The causes of forest
fires are rather varied, but the main factor is human activity in
settlements, industrial facilities, objects of transport
infrastructure, and intensively developed territories (in other
words, anthropogenic load). In turn, storm activity is also a basic
reason for forest fires in remote territories. Therefore,
scientists across the world have developed methods, approaches, and
systems to predict forest fire danger, including the impact of
human and storm activity on forested territories. An important and
comprehensive point of research is on the complex
deterministic-probabilistic approach, which combines mathematical
models of forest fuel ignition by various sources of high
temperature and probabilistic criteria of forest fire occurrence.
Forest Fire Danger Prediction Using Deterministic-Probabilistic
Approach provides a comprehensive approach of forest fire danger
prediction using mathematical models of forest fuel with
consideration to anthropogenic load, storm activity, and
meteorological parameters. Specifically, it uses the
deterministic-probabilistic approach to predict forest fire danger
and improve forest protection from fires. The chapters will cover
various tree types, mathematical models, and solutions for reducing
the destructive consequences of forest fires on ecosystems. This
book is ideal for professionals and researchers working in the
field of forestry, forest fire danger researchers, executives,
computer engineers, practitioners, government officials,
policymakers, academicians, and students looking for a new system
to predict forest fire danger.
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The Manner of Raising, Ordering; and Improving Forest and Fruit-trees; Also, How to Plant, Make and Keep Woods, Walks, Avenues, Lawns, Hedges, &c., With Several Figures in Copperplates, Proper for the Same. Also Rules and Tables Shewing How The...
(Hardcover)
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