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A Framework to Assess the Extent and Effectiveness of Community-based Forestry, 


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Цена: 68370.00T
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Название:  A Framework to Assess the Extent and Effectiveness of Community-based Forestry
ISBN: 9789251315477
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 9251315477
Обложка/Формат: Paperback
Страницы: 56
Вес: 0.52 кг.
Дата издания: 30.10.2019
Серия: Economics/Business/Finance
Язык: English
Иллюстрации: Col. ill., tables
Размер: H 250 X W 175
Читательская аудитория: Professional and scholarly
Ключевые слова: Forestry & related industries, TECHNOLOGY & ENGINEERING / Agriculture / Forestry
Рейтинг:
Поставляется из: Англии
Описание: This assessment framework provides a basis for understanding the impact of community-based forestry (CBF) on forests and local livelihoods at the country level. It also presents indicators that may be used across countries, focusing on formal CBF initiatives recognised by statutory law.

Assessing the Governance of Tenure for Improving Forests and Livelihoods: A Tool to Support the Implementation of the Voluntary Guidelines on the Responsible Governance of Tenure

Название: Assessing the Governance of Tenure for Improving Forests and Livelihoods: A Tool to Support the Implementation of the Voluntary Guidelines on the Responsible Governance of Tenure
ISBN: 9251315531 ISBN-13(EAN): 9789251315538
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 71150.00 T
Наличие на складе: Нет в наличии.
Описание: Presents a tool for understanding the strengths and limitations of forest tenure reforms. The paper was developed to recognise the resource use rights of local communities, with the overall objective of improving forest governance and reducing poverty.

Forty Years of Community-Based Forestry: A Review of Its Extent and Effectiveness

Автор: Don Gilmour
Название: Forty Years of Community-Based Forestry: A Review of Its Extent and Effectiveness
ISBN: 9251090955 ISBN-13(EAN): 9789251090954
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 35110.00 T
Наличие на складе: Невозможна поставка.
Описание: Provides a comprehensive look at the impact of community-based forestry. This study considers both collaborative regimes and smallholder forestry. The publication examines the extent of community-based forestry globally and regionally and assesses its effectiveness in delivering on key biophysical and socioeconomic outcomes.

Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks

Автор: Nikolay Viktorovich Baranovskiy
Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 1799818683 ISBN-13(EAN): 9781799818687
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 175560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks

Автор: Nikolay Viktorovich Baranovskiy
Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 1799818675 ISBN-13(EAN): 9781799818670
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 229150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Guidelines for Using Fallout Radionuclides to Assess Erosion and Effectiveness of Soil Conservation Strategies

Название: Guidelines for Using Fallout Radionuclides to Assess Erosion and Effectiveness of Soil Conservation Strategies
ISBN: 9201054149 ISBN-13(EAN): 9789201054142
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 16630.00 T
Наличие на складе: Невозможна поставка.
Описание: Provides comprehensive step by step guidance in the application of fallout radionuclides (FRNs) for investigating soil erosion and soil redistribution affecting agro-ecosystems, This report is written for scientists and technicians from disciplines such as soil science, ecology, and agronomy, as well as students, and staff of NGOs.

Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales

Автор: Genesis T. Yengoh; David Dent; Lennart Olsson; Ann
Название: Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
ISBN: 3319241109 ISBN-13(EAN): 9783319241104
Издательство: Springer
Рейтинг:
Цена: 52240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems.


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