scholarly journals Land, Income and Land-Use Diversification in Khyber Pakhtunkhwa Province of Northern Pakistan

Author(s):  
Siddique Ullah Baig ◽  
Syed Muhammad Jibran Shah ◽  
Bahadar Nawab Khattak

The natural and man-made landscape settings in the Khyber Pakhtunkhwa (KPK) province of Northern Pakistan have significantly changed in the last decade due to increasing demands of urbanized populace, migration, two major natural disasters, and climate change. The aim of this study is to analyze land possession, income and land-use diversification of KPK administered Charsadda district. Field data is collected through a sample survey. Furthermore, freely available Landsat 7 satellite images are used to classify land-use classes (e.g., vegetation, built-up) for two different years (e.g., 2005 and 2017) for cross-verification and comparison. The highest 45% of 80% land-owners occupy land-area between 1–10 hectares. Annually, the highest 57.5% of the total farmers / employed in-habitants of surveyed regions earn more than Rs. 100,000 or ~$970 from agriculture activities. About 41.9% land-area covered by agricultural-land is transformed into built-up area since 2007, which is attributed to the increasing demand for buildings and commercial markets. The highest diversification is reported in Naguman area of Charsadda district followed by Rajjar and Niami. Population growth and huge migration of displaced persons from neighboring tribal areas are likely to be few factors which contributed to such a drastic change in land-use pattern since 2007 to 2017. Urgent attention of the policy makers, agricultural experts and society is required to minimize land degradation and to thwart further agricultural-land loss.

Author(s):  
Siddique Baig ◽  
Syed Muhammad Jibran Shah ◽  
Bahadar Nawab Khattak

The natural and man-made landscape settings in the Khyber Pakhtunkhwa (KPK) province of Northern Pakistan have significantly changed in the last decade due to increasing demands of urbanized populace, migration, two major natural disasters, and climate change. The aim of this study is to analyze land possession, income and land-use diversification of KPK administered Charsadda district. Field data is collected through a sample survey. Furthermore, freely available Landsat 7 satellite images are used to classify land-use classes (e.g. vegetation, built-up) for two different years (e.g. 2005 and 2017) for cross-verification and comparison. The highest 45% of 80% land-owners occupy land-area between 1-10 hectares. Annually, the highest 57.5% of the total farmers / employed in-habitants of surveyed regions earn more than Rs. 100,000 or ~ $ 970 from agriculture activities. About 41.9% land-area covered by agricultural-land is transformed into built-up area since 2007, which is attributed to the increasing demand for buildings and commercial markets. The highest diversification is reported in Naguman area of Charsadda district followed by Rajjar and Niami. Population growth and huge migration of displaced persons from neighboring tribal areas are likely to be few factors which contributed to such a drastic change in land-use pattern since 2007 to 2017. Urgent attention of the policy makers, agricultural experts and society is required to minimize land degradation and to thwart further agricultural-land loss.


2014 ◽  
Vol 12 (1) ◽  
pp. 13-18 ◽  
Author(s):  
J Akther ◽  
MA Kader ◽  
M Rahman ◽  
M Shawkhatuzzaman

There is no reliable information till now on the conversion rate of agricultural land in Bangladesh into different non agricultural sectors. The study was undertaken to estimate the present land use pattern and to calculate the changes in land use of agricultural and non-agricultural field over time using aerial photographs of Trishal and Fulbaria upazila of Mymensingh district. Two series of aerial photographs of both upazilas from 1983 and 2000 at scales of 1:40,000 and 1:25,000, respectively, were studied. Land use categories were calculated by random line drawing method on effective areas of aerial photograph. In 1983, Total agricultural and non-agricultural land of Trishal upazila were found 29,505 and 4,095 ha accounting 87.81 and 12.2% of total land area, respectively. In Fulbaria upazila for the same year, it was 35,611 and 4,258 ha accounting 89.3% and 10.7% of total land area, respectively,. An amount of about 3545 and 3637 ha agricultural land was transformed into non-agricultural land in Trishal and Fulbaria upazila, respectively, within a period of 17 years. The rate of decreasing agricultural land to non agricultural land in Trishal and Fulbaria upazila was estimated to be 0.62 and 0.54% /annum, respectively. Land use analysis shows that conversion of agricultural land into settlement, transport network and water body contributed 88.07, 5.3 and 6.63% of the land loss, respectively in Trishal upazila and 98.45, 1.3 and 0.12% of the land loss, respectively in Fulbaria upazila. If similar trends in loss of agricultural land remain constant, there will be no land available for cultivation after around 200 years. Therefore, it is very crying need for the country to make a land use policy for food security of the rapidly growing population. DOI: http://dx.doi.org/10.3329/jbau.v12i1.21210 J. Bangladesh Agril. Univ. 12(1): 13-18, 2014


2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.


Author(s):  
Vipin Solanki ◽  
Aparna Joshi

Land use is the human utilization for money, private, recreational, conservational and administrative purposes. The idea of land use is firmly interwoven with human network advancement. Examples of human turn of events and land use have molded the earth legitimately and internationally since ancient occasions. Current improvement designs, along with highlights of the common habitat and the outcomes of past advancement exercises, decide future advancement openings, and furthermore the requirement for rebuilding or upgrade of natural assets. North-east India is the abode of highly endemic flora and fauna preserving the pristine environment with little human interference until recent times. However, for past two decades a drastic change in the land use pattern in the region has been observed which may threaten the fragile ecological balance of the region. Tripura, known as one of the seven sisters, is a bamboo resource and second largest rubber producer in India. Tripura has the highest number of primate species found in any Indian state. However, as compared to its other sisters, the state is economically backward. The land use of the state is undergoing rapid change which is facilitated to a great extent by rapidly increasing population. The present paper deals with the changing land use of Tripura especially in the last two and a half decades. The objective of the study is to analyse the changing land use of the state in general and changes in agricultural and non-agricultural land use in particular based upon the data collected from secondary sources like Statistical Abstract of Tripura, Population Tables of Census 1991, 2001 and 2011 along with the information collected from various government websites.


1999 ◽  
Vol 16 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Thomas E. Mauldin ◽  
Andrew J. Plantinga ◽  
Ralph J. Alig

Abstract Data on land use in Maine are assembled from USDA Forest Service inventories, the Census of Agriculture, and other sources. Regression analysis is used to estimate the relationships between land use and determinants of land use such as land rents and soil characteristics. The fitted models are used to project changes in land use to 2050. We project declines in private timberland area, though these losses are small on a percentage basis. Continued declines in agricultural land area and increases in urban land area also are projected. Land use policies that influence land rents such as preferential tax assessment programs can be used to deter socially undesirable land use changes. North. J. Appl. For. 16(2):82-88.


Author(s):  
MS Hosain ◽  
MW Islam

The study aims to explore the prospects and retrospects of land use system through agroforestry practices in Meherpur district, Bangladesh. It particularly focuses on some aspects of land uses of the study area like land use pattern, land ownership, choices of species for agroforestry, farmers’ perceptions towards agroforestry, status and prospects of agroforestry practices. This study was carried out by using mixed method followed by a semi-structure questionnaire. A total of 100 respondents were selected by using snowball purposive sampling method. The study revealed that agriculture was the major occupation (50%) of the selected respondents. Of the total land used by selected respondents, 21% land were used for agroforestry, 69% for agriculture and remaining 10% for homestead purposes. Most of the farmers (60%) were small landholders (1 to 5 acres) and 18% had lesser than 1 acre land. Among them 76% had their own land followed by 8% leased land and 16% both own and leased land. They preferred agroforestry in their homestead (92%), agricultural land (65%), water body (31%) and fallow land (18%). The farmers were practicing different types of agroforestry such as cropland, homestead and aquaculture with boundary plantation by mixing trees, agricultural crops and vegetables in their farmlands to receive diversified outcomes. A remarkable change in land use pattern was found after adopting agroforestry practices in this study area. Maximum respondents practiced agro-forestry in their homestead and croplands. Most of the land (67%) was used for agriculture cultivation while a very small amount of land was used as agroforestry in the study area.Int. J. Agril. Res. Innov. & Tech. 7 (2): 1-6, December, 2017


2014 ◽  
Vol 8 ◽  
pp. 21-30 ◽  
Author(s):  
Md Abdul Halim ◽  
Md Mizanoor Rahman ◽  
Md Zahidul Hassan

Bangladesh is a land scarce country where per capita cultivated land is only 12.5 decimals. It is claimed that every year about one percent of farm land in the country is being converted to non-agricultural uses. The study is based mainly on field survey covering 2 villages (Narikel Baria and Baze Silinda) from 10 sub-urban villages around Rajshahi City Corporation under Paba Upazila of Rajshahi district. The study area was selected purposively and the respondents of this research work were selected randomly. The major focus was on to mention the general land use pattern of the area, estimates the agricultural land conversion besides determining the causes and consequences affecting such conversion. Both Narikel Baria and Baze Silinda villages were selected as study area because of its relatively higher growth in infrastructure. In order to fulfill the goal of this study, primary and secondary data were collected from various sources and to analyze and process of collected data the SPSS, Excel and Arc GIS software were used. Different types of descriptive statistics were applied for representing the analyzed data. It is observed that the land conversion form agriculture to non-agriculture allied in recent time is more than the previous time due to gradually increasing land demand in housing and relevant services which invites adverse impact on agricultural land as well as its dependent population. So, it is necessary to take integrated land-use planning to offer better options for the fulfillment of land demand both of housing and agricultural sectors. DOI: http://dx.doi.org/10.3329/jles.v8i0.20136 J. Life Earth Sci., Vol. 8: 21-30, 2013


Author(s):  
M. B. Hossain

The objective of this paper is to formulate suitable policies and management practices that can firmly reduce CO2–C (carbon dioxide –carbon) emissions and sequester it in a sustainable way. Land use and management practices can influence both efflux and influx of carbon between soil and the atmosphere. Organic matter dynamics and nutrient cycling in the soil are closely related to nutrient immobilization and mineralization. Unplanned conversion of lands to agricultural production causes a sharp decrease in carbon stored in soil. In the atmosphere, 4.0 Gt C yr-1 is enriched by different sources. Increasing soil organic carbon (SOC) improves soil health and mitigate climate change. Histosol, clayey and fine particle size have good capacity to sequestrate C in soil. Land use pattern controls organic matter status in soil. Crop/grass, forestry/agroforestry, reduced tillage, quality of organic matter, soil biotic - abiotic are the major factors to sequestrate significant C in soil. The application of fertilizers especially nitrogen usually results in an increase in crop growth as well as a corresponding increase in root development takes place for building up active organicmatter in soil. Biochar amendments can impact soil C storage and net CO2 removals from the atmosphere in three different ways such as longer residence time due to resistant to microbial decay, plant productivity and reduce N2O emission. Wetland soil, effective management practices and control deforestation sequestrate 0.2, 2.0 and 1.6 Gt C yr-1, respectively. Based on these information, it is possible to increase 4‰ carbon a year the quantity of carbon contained in soils at 0-40 cm soil depth to halt carbon dioxide enrichment (4.0 Gt C yr-1) in the atmosphere.


2021 ◽  
Vol 83 (2) ◽  
pp. 7-31
Author(s):  
Josip Šetka ◽  
◽  
Petra Radeljak Kaufmann ◽  
Luka Valožić ◽  
◽  
...  

Changes in land use and land cover are the result of complex interactions between humans and their environment. This study examines land use and land cover changes in the Lower Neretva Region between 1990 and 2020. Political and economic changes in the early 1990s resulted in changes in the landscape, both directly and indirectly. Multispectral image processing was used to create thematic maps of land use and land cover for 1990, 2005, and 2020. Satellite images from Landsat 5, Landsat 7 and Landsat 8 were the main source of data. Land use and land cover structure was assessed using a hybrid approach, combining unsupervised and manual (visual) classification methods. An assessment of classification accuracy was carried out using a confusion matrix and kappa coefficient. According to the results of the study, the percentage of built-up areas increased by almost 33%. Agricultural land and forests and grasslands also increased, while the proportion of swamps and sparse vegetation areas decreased.


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