scholarly journals Estimating the Differential Change in Land Use Associated With Reservoir Construction

1976 ◽  
Vol 8 (1) ◽  
pp. 169-174
Author(s):  
Lonnie R. Vandeveer ◽  
H. Evan Drummond

Much attention has been focused recently on the need for land use planning in this country. With federal land use legislation pending, it seems imperative that resource economists develop quantitative methods for evaluating and predicting land use change. The need to develop appropriate estimation techniques is most apparent for land use change in areas which have received substantial investment in a relatively short period of time. Construction of multi-purpose reservoirs is the most important type of public investment that has impacted land use patterns in Oklahoma since the “dust bowl” days.

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 286
Author(s):  
Dingrao Feng ◽  
Wenkai Bao ◽  
Meichen Fu ◽  
Min Zhang ◽  
Yiyu Sun

Land use change plays a key role in terrestrial systems and drives the process of ecological pattern change. It is important to investigate the process of land use change, predict land use patterns, and reveal the characteristics of land use dynamics. In this study, we adopted the Markov model and future land use (FLUS) model to predict the future land use conditions in Xi’an city. Furthermore, we investigated the characteristics of land use change from a novel perspective, i.e., via establishment of a complex network model. This model captured the characteristics of the land use system during different periods. The results indicated that urban expansion and cropland loss played an important role in land use pattern change. The future gravity center of urban development moved along the opposite direction to that from 2000 to 2015 in Xi’an city. Although the rate of urban expansion declined in the future, urban expansion remained the primary driver of land use change. The primary urban development directions were east-southeast (ENE), north-northeast (NNE) and west-southwest (WSW) from 1990 to 2000, 2000 to 2015, and 2015 to 2030, respectively. In fact, cropland played a vital role in land use dynamics regarding all land use types, and the stability of the land use system decreased in the future. Our study provides future land use patterns and a novel perspective to better understand land use change.


Polar Record ◽  
1998 ◽  
Vol 34 (188) ◽  
pp. 31-38 ◽  
Author(s):  
Frank Duerden ◽  
Richard G. Kuhn

AbstractThere is strong contemporary interest in the application of traditional environmental knowledge (TEK) of physical environments and land-use patterns in northern Canada. This interest relates to land claims, land-use planning, cultural preservation, resource management, and environmental monitoring. The application of TEK to land and resource management is critically examined and a typology relating scale, user group, and the transformation of knowledge is developed. Of the many challenges facing the incorporation of TEK in resource-management initiatives, perhaps the greatest is the recognition of the appropriateness of scale. The conclusions reached in this paper reaffirm the notion that scale and context are key components in maintaining the validity and integrity of TEK. The primary role of TEK appears to be with providing the most valid and intelligible interpretations of local geographies and prescribing locally appropriate resource-management strategies.


2017 ◽  
Vol 8 (4) ◽  
pp. 189-197
Author(s):  
Christiane Cavalcante Leite ◽  
Marcos Heil Costa ◽  
Ranieri Carlos Ferreira de Amorim

The evaluation of the impacts of land-use change on the water resources has been, many times, limited by the knowledge of past land use conditions. Most publications on this field present only a vague description of the past land use, which is usually insufficient for more comprehensive studies. This study presents the first reconstruction of the historical land use patterns in Amazonia, that includes both croplands and pasturelands, for the period 1940-1995. During this period, Amazonia experienced the fastest rates of land use change in the world, growing 4-fold from 193,269 km2 in 1940 to 724,899 km2 in 1995. This reconstruction is based on a merging of satellite imagery and census data, and provides a 5'x5' yearly dataset of land use in three different categories (cropland, natural pastureland and planted pastureland) for Amazonia. This dataset will be an important step towards understanding the impacts of changes in land use on the water resources in Amazonia.


2007 ◽  
Vol 80 (1-2) ◽  
pp. 111-126 ◽  
Author(s):  
Yu-Pin Lin ◽  
Nien-Ming Hong ◽  
Pei-Jung Wu ◽  
Chen-Fa Wu ◽  
Peter H. Verburg

1962 ◽  
Vol 16 (5) ◽  
pp. 248-254
Author(s):  
N. L. Nicholson

In recording actual land use field-by-field or block-by-block methods can be applied either to detailed maps or to aerial photographs. In land-use mapping the usual scales are 1:25,000 for urban areas, 1:50,000 for densely settled areas with complex land-use patterns, and 1:250,000 for sparsely settled areas. In preparation of the map manuscript the base sheet used is of the material known as cronaflex and the transfer and reduction of information is achieved by use of the “reflex map reducer” a device invented by a geographer on the staff of the Geographical Branch.


2021 ◽  
Vol 39 (4 supplement) ◽  
pp. 1501-1506
Author(s):  
Pranita JUNGPANICH ◽  
◽  
Katawut WAIYASUSRI ◽  

Land-use change for examining the expansion of built-up and recreation, required effective techniques of spatial assessment, especially in areas with limited space such as Koh Chang island in Thailand which needed to be emphasized. The research objectives were to study land-use patterns in Koh Chang area in Trat province from 2000-2020, and study land-use change, especially the expansion of buildings and recreation area during that period, using geo-informatic technique. The study found that most of Koh Chang is forest land, up to 80% of the island, but the trend is declining. On the other hand, the area that has increased in number is built-up and recreation, which has increased from 7.22 km2 to 18.28 km2 and up to 253.19% in the past 20 years. The efficiency of geo-informatic technology can extract useful information, especially spatial data on land-use change. Therefore, it is known from which areas built-up and recreation areas are transformed in order to bring such information into a spatial database system for supporting decision-making in directing, monitoring and controlling areas for further expansion of tourism business in order not to create an impact on the environment.


Author(s):  
Jonathan Levine ◽  
Joe Grengs ◽  
Louis A. Merlin

This chapter traces the history of the derived-demand concept, its application to the transportation context, and an important challenge to the derived view of transportation demand. The derived-demand concept, which underpins the logic of accessibility in transportation and land-use planning, originated in realms entirely removed from transportation. The derived-demand term was coined in 1895 by the economist Alfred Marshall, who used it to describe the demand curves for goods that were intermediate to the consumption or production of other goods. However, the first application of Marshall's derived-demand concept to transportation may have come four decades later in Michael Bonavia's 1936 book The Economics of Transport. The derived-demand concept in transportation was developed further by Robert Mitchell and Chester Rapkin, who were interested in forecasting demand for transportation on the basis of land-use patterns across a metropolitan area. Ultimately, the consensus view that transportation demand is mostly derived is not an absolute truth but, rather, is based on the view that transportation is most usefully viewed—in most circumstances and for most trips—as one means to an end, rather than an end in itself.


2017 ◽  
Vol 41 (6) ◽  
pp. 579-600 ◽  
Author(s):  
Jing Yao ◽  
Xiaoxiang Zhang ◽  
Alan T. Murray

Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined.


2018 ◽  
Vol 10 (7) ◽  
pp. 426 ◽  
Author(s):  
Marcelle A. Urquiza ◽  
Valdinar F. Melo ◽  
Márcio R. Francelino ◽  
Carlos E. G. R. Schaefer ◽  
Eliana De Souza ◽  
...  

The Amazon region has experienced a rapid rate of deforestation and land use change as a result of establishment of agricultural settlements, resulting from public policies designed to promote rural development. We analyzed land use patterns and changes in the central region of Roraima, northern Brazil, testing the hypothesis that the anthropic pressure based on the conversion of natural vegetation (forest ecotone zone and open areas of savanna and campinaranas) on agriculture and pasture, has led to the decline of forest resilience, and has not promoted development in lands converted in agricultural colonization projects, a process exacerbated by practices of burning. Satellite images from between 1984 to 2017, with field-collected data and geoprocessing techniques, allowed interpretation and analysis of seven land-use classes. Agriculturally-based human impacts were greatest in forest areas, with forest loss rates being 6.4 times greater than regeneration rates. The 39.3% reduction in natural non-forest vegetation types exceeded that of forest loss (23.8%). Repeated fires resulted in a 627.1% increase in forest fragmentation in areas heavily impacted by fire. Our study revealed that, over 33 years, deforestation and transitions of land to non-conservation uses did not lead to a system with highly productive agricultural practices, but to extensive impoverished, and degraded subsistence. The main reason was the basic unsuitability of the region´s extremely acidic/dystrophic soils on which settlements have been founded, and the predominance of low-tech, family-based, agriculture and the absence of the required technology for attaining better results.


2017 ◽  
Vol 16 (2) ◽  
pp. 88-106
Author(s):  
B. O. ADELEKE ◽  
O. O.I. ORIMOOGUNJE

The study identified and analyzed land use patterns between 1960 and 2005, and examined the forces underlying land use change and projects the future pattern of land use change in the study area. Both primary and secondary data collected were analyzed using descriptive statistics and geospatial techniques of GIS and Remote Sensing. The results showed that settlement land use which was 1253.12 hectares (3%) in 1972 increased by six fold to 7684.27 hectares (16%) in 1984 and by tenfold to 12842.11 hectares (27%) of the total land area in 2005. Farmlands reduced from 8751.21 hectares (19%) in 1972 to 7144.32 hectares (15%) in 1984 to 3824.80 (8%) in 2005. The result equally showed that between 1972 and 1984 the population grew by 75.16% while settlements increased by 513.21%. Also between 1972 and 2005 the population grew by 206.70 % and settlements increased by 924.81 %. The result of the predictive model developed for this study showed that settlement, bare surface, shrub and water body will increase by 60.30%, 57.68%, 53.79% and 8.03% respectively while non-forested, farmlands, forested wetlands and light forest will decrease by 9.5%, 28.55%, 12.35% and 26.76% respectively. There were continuous changes among the various land use classes identified. 


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