Site-Specific Land Resource Inventory for Scientific Planning of Sujala Watersheds in Karnataka

2018 ◽  
Vol 115 (4) ◽  
pp. 644
Author(s):  
Rajendra Hegde ◽  
K. V. Niranjana ◽  
S. Srinivas ◽  
B. A. Danorkar ◽  
S. K. Singh
2022 ◽  
Vol 58 (1) ◽  
pp. 106-110
Author(s):  
K. N. Ravi ◽  
S. L. Patil ◽  
Hrittick Biswas ◽  
M. N. Ramesha ◽  
B. S. Naik ◽  
...  

The paper investigates an innovative extension approach of generation and distribution ofLand Resource Cards, developed from Land Resource Inventory database, used for site-specific farm resource management in watersheds adopted under World Bank funded Sujala-III project. Extent of reach, satisfaction level and training status of Land Resource Cardsin 12 model micro-watersheds located in different agro-climatic regions of Karnataka witha sample size of 720 farmers was assessed. The Land Resource Cards reached only 18 percent of farmers while 22 per cent of farmers were trained for its utilization. However, 77per cent were satisfied with the information provided and 23 per cent suggested for furtherimprovement in cards for greater utility. The overall farmer’s perception on capacity buildingon land resource cards revealed that they were very useful in farm-level resourcemanagement. Hence, need for replication of similar approach in all database drivenwatersheds to be implemented in the future with adoption of modifications is suggested.


1929 ◽  
Vol 5 (1) ◽  
pp. 22 ◽  
Author(s):  
Carleton P. Barnes

Author(s):  
M. A. Hossain ◽  
M. N. Amin ◽  
J. Sultana ◽  
M. N. A. Siddique

Sustainable land management (SLM) is an effective climate adaptation technique in the present world. Bangladesh is listed in long-term Climate Risk Index 2019 due to its unicorn geographic features (e.g. low-lying riparian lands, big rivers, dense population and coastal settings). The livelihoods of Bangladesh are directly or indirectly linked to agricultural practices and or agribusiness. Many studies revealed that climate change-induced natural calamities (e.g. rainfall and temperature variability, sea level rise, flood, cyclone, drought, groundwater depletion, salt intrusion) unfavorably effect on agricultural production and livelihood activities and these are making critical food insecurity situation. Thus, identification and implementation of SLM practices to maintain food security of the bursting population are a prerequisite in Bangladesh. In this study, we have compiled the prospective SLM practices based on land management objective, land user requirements, crop and land suitability by reviewing peer-reviewed articles and grey literature. The potential SLM identified includes land resource conservation, erosion control, tillage technology, soil fertility management, vegetation management, efficient groundwater use, salinity-drought adaptations, land zoning and site-specific climate-smart agriculture. Among these SLM practices, the cultivation of suitable crop based on land quality and resource availability requires knowledge of decision support components involving the stakeholders for meaningful implementation of SLM. We proposed conceptual decision support components (e.g. land user, land quality, crop suitability, site-specific management, capital and governance) that would be the basis for the development and implementation of SLM towards land users and or farmers. The motivation of farmers through efficient extension activity and agri-governance for optimized land management can lead to minimizing the climate-induced vulnerability in agriculture. We concluded that the identified SLM practices, if implemented by adequate decision supports, SLM will help to achieve agricultural production as required by the sustainable Millennium Development Goals in Bangladesh.


2017 ◽  
Vol 4 (4) ◽  
pp. 458-463 ◽  
Author(s):  
Devraj Chalise ◽  
Abhasha Joshi ◽  
Bikesh Twanabasu ◽  
Nabin Rawal ◽  
Saroj Amgai

To characterize soils of different land uses and to prepare land use zoning maps, a field survey was conducted in August, 2014 in Chaumala VDC, Kailali. Main objective was to prepare scientific land resource inventory at VDC level to delineate land use based on land types, associated soils and land capability classes to formulate sustainable land use planning. The maximum area is allocated in forest zone (66.62%) followed by agriculture zone (20.83%). Area allocated as public use is 9.48%, for residential is 2.91%, and for commercial is 0.15% whereas industrial area covers the minimum (0.01%). Detailed land resource inventory is utmost for better land use planning and formulating best land use policies.Int J Appl Sci Biotechnol, Vol 4(4): 458-463


Sign in / Sign up

Export Citation Format

Share Document