scholarly journals Preserving Agricultural Land with Farmland Assessment: New Jersey as a Case Study

1996 ◽  
Vol 25 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Peter J. Parks ◽  
Wilma Rose H. Quimio

A conceptual model links agricultural profits, capital gains, interest rates, and property taxes to the sale of agricultural land by profit-maximizing owners. The model motivates an empirical analysis of New Jersey data from 1949 to 1990. Results suggest that nonagricultural considerations may overpower the economic incentives provided by such policies as farmland assessment. Consequently, alternative policies (e.g., purchase of development rights and land use zoning) may be needed to sustain agriculture in rapidly urbanizing areas.

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.


2020 ◽  
Vol 12 (17) ◽  
pp. 2701
Author(s):  
Zhouyuan Li ◽  
Yanjie Xu ◽  
Yingbao Sun ◽  
Mengfan Wu ◽  
Bin Zhao

Urbanization changes the land surface environment, which alters the regional climate system. In this study, we took the Haihe River Basin in China as a case study area, as it is highly populated and experienced rapid urbanization from 2000–2015. We investigated how land use and cover change (LUCC) was driven by urban land development affects land-climate dynamics. From 2000–2015, we collected data from the land use and cover database, the remote sensing database of the Moderate Resolution Imaging Spectroradiometer (MODIS) series, and the meteorological database to process and generate regional datasets for LUCC maps. We organized data by years aligned with the selected indicators of land surface, normalized difference vegetation index (NDVI), albedo, and land surface temperature (LST), as well as of regional climate, cloud water content (CWC), and precipitation (P). The assembled datasets were processed to perform statistical analysis and conduct structural equation modelling (SEM). Based on eco-climatology principles and the biophysical process in the land-climate dynamics, we made assumptions on how the indicators connected to each other. Moreover, we testified and quantified them in SEM. LUCC results found that from 2000–2015 the urban area proportion increased by 214% (2.20–6.91%), while the agricultural land decreased by 7.2% (53.05–49.25%) and the forest increased by 4.3% (10.02–10.45%), respectively. This demonstrated how cropland intensification and afforestation happened in the urbanizing basin. SEM results showed that the forest had both positive and negative effects on the regional hydrological cycle. The agricultural land, grassland, and shrub had indirect effects on the P via different biophysical functions of LST. The overall effects of urbanization on regional precipitation was positive (pathway correlation coefficient = 0.25). The interpretation of how urbanization drives LUCC and alters regional climate were herein discussed in different aspects of socioeconomic development, biophysical processes, and urbanization-related atmospheric effects. We provided suggestions for further possible research on monitoring and assessment, putting forth recommendations to advance sustainability via land planning and management, including agricultural land conservation, paying more attention to the quality growth of forest rather than the merely area expansion, integrating the interdisciplinary approach, and assessing climatic risk for extreme precipitation and urban flooding.


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


Ibis ◽  
2009 ◽  
Vol 152 (1) ◽  
pp. 63-76 ◽  
Author(s):  
NIGEL D. BOATMAN ◽  
STÉPHANE PIETRAVALLE ◽  
HAZEL R. PARRY ◽  
JOE CROCKER ◽  
PAUL V. IRVING ◽  
...  

2017 ◽  
Vol 25 (1) ◽  
pp. 34-45 ◽  
Author(s):  
Martina Slámová ◽  
Jana Krčmářová ◽  
Pavel Hronček ◽  
Mariana Kaštierová

Abstract The cadastral district of Horný Tisovník represents a traditionally managed Carpathian mountain agricultural landscape with extensive terraces. It was historically governed by two counties with different feudal economic systems - agricultural and industrial. This paper aims to enrich traditional methods in environmental history. We applied geospatial statistics and multivariate data analysis for the assessment of environmental factors influencing the distribution of agricultural terraces. Using linear models, the hypothesis was tested that the terrace distribution is functionally related to selected factors (affiliation to the historic counties; average altitude and slope; distance from water, buildings and settlements; units of natural potential vegetation; and current land use). Significantly greater amounts of terraces were located in the agricultural county compared to the industrial county. A principal component analysis showed the coincidence between the current agricultural land use and higher concentrations of terraces occurring in lower altitudes, closer to settlements and buildings, and within the unit of Carpathian oak-hornbeam forests. These findings regarding the most significant factors influencing the distribution of terraces are used in proposals for incentives to improve the management of the traditional agricultural landscape.


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