Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

Predictive Assessment on Depletion of Sundarban Mangrove in Bangladesh

-15% su kodu: ENG15
79,40 
Įprasta kaina: 93,41 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
79,40 
Įprasta kaina: 93,41 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 93.4100 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

Sundarban Mangrove Forest in Bangladesh is playing a significant role in local and national economy and is providing protection to the coastline as well as to the indigenous people. During the past decades and also in recent time this forest was heavily disturbed by human intervention in many aspects. As a consequence the resources of the forest are fragmenting, shrinking and declining, which in turn leads to an increasing failure of satisfying increasing demands both at local and national levels. Therefore accurate and continuously updated spatial information is needed for optimizing forest management and environmental planning on both levels to support the fulfillment of urgent needs of sustainability of the development of the forest ecosystems. The present study is an investigation examining the underlying causes of deforestation, forest cover change and its environmental impact. Remarkable changes of the forest cover have been occurred from 1997 to 2006. In the present study, dense forest cover have been changed drastically and converted into light forest in 2006. The total 1.17% forest cover area is reduced.

Informacija

Autorius: Md. Nazrul Islam, Golam Mostafa,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2013
Knygos puslapių skaičius: 164
ISBN-10: 3659369594
ISBN-13: 9783659369599
Formatas: 220 x 150 x 10 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Predictive Assessment on Depletion of Sundarban Mangrove in Bangladesh“

Būtina įvertinti prekę