Geomorphology of Bangladesh and Potential Land Use

2021 ◽  
pp. 355-398
Author(s):  
A. K. M. Khorshed Alam ◽  
Md. Sharif Hossain Khan
Keyword(s):  
Land Use ◽  
Potential Land

scholarly journals Kajian Potensi Produksi Hijauan Pakan pada Lahan Eksisting dan Potensial untuk Meningkatkan Populasi Ternak Ruminansia di Kabupaten Aceh Besar

2015 ◽  
Vol 15 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Mira Delima ◽  
Abubakar Karim ◽  
M. Yunus
Keyword(s):  
Land Use ◽  
Evaluation Method ◽  
Soil Depth ◽  
Secondary Data ◽  
Primary Data ◽  
Forage Production ◽  
Land Capability ◽  
Livestock Population ◽  
Survey And Evaluation ◽  
Potential Land

(The study of prospective forage production on existing and potential land use to support increasing livestock population in Aceh Besar) ABSTRACT. The purpose of this research was to find out the width and scattered location of existing land use which its land capability class suitable for pastures; forage production prospective, and land carrying capacity. The combination of survey and evaluation method was used in this study. The primary data were obtained by field observation and compiling documents, while the secondary data were obtained from various sources, including Bappeda Aceh, and Dinas Peternakan Aceh Besar. Land capability classification was defined based on a modified USDA method and land capability class mapping was prepared based on overlay method by geoprocessing of Geographic Information Systems. The attributes delineating land capability classification included slope, erosion potential and soil depth. Spatial and attributes data were processed using ArcGIS 9.3. Interpretation of land use map derived from satellite imagery analysis results. Brachiaria humidicola green production (tons/year) was determined by assumption-based on obtaining data from various sources. Present livestock population and increasing of population target up to 2017 were obtained from Dinas Peternakan Aceh Besar. The results showed that the existing land use area was 28,632.23 ha (59.03 %), whereas the potential land use area was 19,875.73 ha (40.97%). Land use area for pastures in the district of Aceh Besar, both existing and potential, were sufficient to support the achievement of livestock population increasing program.

Combined demographic and resource models quantify the effects of potential land-use change on the endangered Carnaby's cockatoo ( Calyptorhynchus latirostris )

2017 ◽  
Vol 210 ◽  
pp. 8-15 ◽  
Author(s):  
Matthew R. Williams ◽  
Colin J. Yates ◽  
Denis A. Saunders ◽  
Rick Dawson ◽  
Geoff W. Barrett
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Potential Land

The concept of carrying capacity and land-use.

1986 ◽  
Vol 34 (3) ◽  
pp. 339-347
Author(s):  
C. Geerling ◽  
S. de Bie
Keyword(s):  
Land Use ◽  
Carrying Capacity ◽  
Third World ◽  
Resource Depletion ◽  
Limiting Factors ◽  
Development Potential ◽  
The Third ◽  
Man And Nature ◽  
The Third World ◽  
Potential Land

Land use is far from sustained in large parts of the Third World. Ecosystems and sociological systems are degraded as a result of resource depletion. Restoring the equilibrium between exploitation and the availability of resources is a matter of economic and ecological survival for both man and nature in these systems. The concept of carrying capacity lends itself to analysis of actual and potential land use which in turn makes it possible to identify the development potential and the limiting factors which may be alleviated by inputs in order to reduce degradation and raise productivity. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Adequacy Analysis of Green Open Space and its Development Direction as an Attributes of Green City in the Capital of Jember Regency, Indonesia

2018 ◽  
Vol 2 (1) ◽  
pp. 53
Author(s):  
Santun R.P. Sitorus ◽  
Imelda Kusuma Wardani ◽  
Setyardi Pratika Mulya
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Open Space ◽  
Paddy Fields ◽  
Sustainable Urban Development ◽  
Dryland Agriculture ◽  
Development Direction ◽  
Potential Land ◽  
Green City

The development of an urban area needs to pay attention to the environmental carrying capacity. One of the way to achieve sustainable urban development is to apply one of the attributes of green city namely green open space (GOS). The purpose of the research are to analyze the types of land use in the years of 2010 and 2017, to analysis land use changes from 2010 to 2017, predicting land use change, analyzing the adequacy of GOS by area acreage and population number, and to determine the direction of GOS development in the Jember City.The research was conducted in the Capital of Jember Regency, namely Jember City with the total area of 9,900 ha. Methods of data analysis are the spatial analysis, analysis of population growth with quadratic growth model, Cellular Automata-Markov, and synthesis of green open space (GOS) development direction based on potential land and the value of the land. The results showed that there are ten types of land use in the Jember City, those are forest, mixed gardens, dryland agriculture, open land, cemetery, plantation, settlements and buildings, paddy fields, shrubs and grasses, and river. A relatively large land use changed in the period of 2010-2017 were dryland agriculture and paddy fields into settlements and buildings. The results of land use prediction with Cellular Automata-Markov described the trend of land use change becomes settlements (buildings) and plantations. The adequacy of public GOS by area as well as population still lacking whereas the adequacy of private GOS has been exceeded. The GOS acreage based on number of population is lower than those GOS based on an area. The GOS development planning is required to fulfill the needs. The consideration used to draw up the directives is the existing land use, regional spatial plan (RTRW), prediction of land use in the year of 2024, distribution of GOS, and land values. Development plans of GOS consist of two stages namely stage 1 and stage 2 with three priorities, namely priority 1, priority 2, and priority 3 with the total area 1,052 ha and funding require approximately two trillion rupiahs. The acreage of potential land for development of GOS has already enough to fulfill the needs of GOS based on population, however, not yet sufficient to fulfill the needs of GOS based on regency area.

scholarly journals The changing face of southern New Zealand farming: opportunities of land use change

2012 ◽  
pp. 1-6
Author(s):  
R.J. Copland ◽  
D.R. Stevens
Keyword(s):  
Land Use ◽  
New Zealand ◽  
Land Use Change ◽  
Dairy Cows ◽  
Social Influences ◽  
Family Ownership ◽  
Marginal Land ◽  
Dairy Sheep ◽  
The Past ◽  
Potential Land

Southern New Zealand has seen major changes in land use in the past 20 years with the rise in dairy cows in milk from 149 000 in 1994 to 682 000 in 2010, while breeding ewe numbers have declined from 11.2 million to 7.3 million over the same period. The development of milking platforms with a significant need for winter dairy grazing has opened up many opportunities for sheep, beef and deer farmers in the region. The need to remain profitable, displacement of sheep to more marginal land, and social influences such as retaining family ownership have encouraged farmers to make the most of potential land-use change opportunities. Three case studies outline the changes made and potential profitability increases in dairy conversion, flexible sheep and beef operations and improved deer production, with cash surplus after expenses being more than doubled in each case. Keywords: land use, profit, dairy, sheep, beef, deer.

scholarly journals APLIKASI SIG UNTUK PENENTUAN DISTRIBUSI OPTIMAL RUANG TERBUKA HIJAU KOTA YOGYAKARTA

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Feber Antarius Ginting ◽  
Hartono Hartono
Keyword(s):  
Land Use ◽  
Green Space ◽  
Spatial Database ◽  
Secondary Data ◽  
Primary Data ◽  
Optimal Model ◽  
City Environment ◽  
Rating Method ◽  
Yogyakarta City ◽  
Potential Land

The aims of this research are: 1) to build city environment spatial database using GIS based on Quickbird Satellite Imagery interpretation, secondary data, and field data, 2) to make city green space optimal model based on city environmental spatial database, and 3) to apply the model in form of Yogyakarta City Green Space Optimal Map.Research method mainly consists of four steps, they are: 1) collecting primary data and secondary data, 2) building the database, 3) arrange city green space optimal model, and 4) apply the model. Primary data are Quickbird satellite imagery and field measurement, while the secondary data obtained from the related institutions. Parameters that were used to build city environment database are comfortable level, number and distance from traffic light, number and distance from main road intersection, the distance from main road, air and noise pollution of each land use category, qualitative of inhabitant oxygen necessity of each land use category, actual green space, and potential land for green space. The database consits of spatial data in vector format and attribute data in relational structure. Spatial model was built from three overlay methods in sequencial way : they are rating method, weighted rating method, and join spatial method. The results of the research are: 1) from the imagery can be produced Land Use, Road Network, Green Space, Potential Land for Green Space Maps with interpretation accuracy are 91.1%, 100%, 95.8%, and 94.8% respectively, 2) GIS procedure is able to build city environment spatial database and to perform a model of city green space optimal distribution, 3) The need of green space is 1022.9 ha, actual green space available is 94.87 ha, and potential land for green space in Yogyakarta city  is 111.92 ha, 4) Distribution of the need of green space are along the main roads and its intersections. The areas cover along the roads of : 1) Adisucipto-Urip Sumoharjo– Sudirman–Diponegoro – Kyai Mojo–Godean streets (to city boundary), 2)  Kusumanegara-Sultan Agung-Ahmad Dahlan–Wirobrajan–Martadinata streets (to city boundary), 3) Supeno-Sugiono–Sutoyo–M.T.Haryono–Sugeng Jeroni streets, 4) Magelang,-Herman Yohannes-Sutomo–Suryopranoto-Bausasran–Juminahan–Suryat majan–Gadjah Mada-Mataram–Suryotomo streets, 5) Cokroaminoto–Kapten Tandean–Bugisan (to city boundary), Suprapto–Wahid Hasyim–Bantul streets, and 6) Katamso–Parangtritis streets (to city boundary). Key words : Quickbird Imagery, Geographical Information System, Spatial Modelling, City Green Space Optimal Distribution

scholarly journals Rating Potential Land Use Taking Ecosystem Service into Account—How to Manage Trade-Offs

Standards ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 79-89
Author(s):  
Lars Carlsen
Keyword(s):  
Land Use ◽  
Ecosystem Service ◽  
Crop Production ◽  
Optimal Choice ◽  
Relative Importance ◽  
Indicator Values ◽  
Short Introduction ◽  
Trade Offs ◽  
Chinese Study ◽  
Potential Land

Rating the potential land use for crop production and/or ranching is typically a process where production gains counterbalance environmental losses. Whereas the production gains are often easy to verify, the environmental losses may render visibility through the changes in the ecosystem service, such as water and habitat quality, carbon storage, etc., thus, leaving the decision maker with a multi-criteria problem. The present study demonstrates how partial-order methodology constitutes an advantageous tool for rating/ranking land use that takes trade-offs into account. It is demonstrated that not only the optimal choice of area, on an average basis, e.g., for crop production, is disclosed, but also the relative importance of the included indicators (production gains, ecosystem losses). A short introduction is given, applying data from a recent Chinese study looking for the optimal monoculture as a function of ecosystem tradeoffs. A more elaborate system applying data from the esgame was used, disclosing the most beneficial area for crop production and for ranching, as well as the relative indicators’ importance. The study further demonstrates that a single composite indicator obtained by simple aggregation of indicator values as a ranking tool may lead to a result where gains are optimized; however, this comes at the expense of the environment.

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