scholarly journals KẾT QUẢ TẬP TRUNG ĐẤT NÔNG NGHIỆP TẠI HUYỆN TÂY HÒA, TỈNH PHÚ YÊN TRONG GIAI ĐOẠN 2013 - 2018

2020 ◽  
Vol 4 (2) ◽  
pp. 1824-1832
Author(s):  
Nguyễn Thị Hải ◽  
Phạm Hoài Phong
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Consolidation ◽  
Forest Land ◽  
Land Area ◽  
Perennial Crop ◽  
Short Term ◽  
Annual Crop ◽  
Crop Land ◽  
Favorable Conditions

Nghiên cứu được thực hiện nhằm đánh giá kết quả tập trung đất nông nghiệp trên địa bàn huyện Tây Hòa, tỉnh Phú Yên trong giai đoạn 2013- 2018. Trên cơ sở các số liệu thứ cấp được thu thập từ các cơ quan chức năng trên địa bàn huyện Tây Hòa và kết quả xử lý số liệu phỏng vấn các hộ gia đình, cá nhân đã thực hiện tập trung đất nông nghiệp, nghiên cứu đã chỉ ra một số kết quả. Cụ thể: (i) Việc tập trung đất nông nghiệp đã diễn ra ở tất cả 11 xã và thị trấn trên địa bàn huyện Tây Hòa với ba loại đất là đất trồng cây hàng năm, đất trồng cây lâu năm và đất rừng sản xuất; (ii) Việc tập trung đất nông nghiệp được thực hiện với ba hình thức là dồn điền đổi thửa, nông dân tự góp đất nông nghiệp để liên kết sản xuất và người dân thuê đất nông nghiệp ngắn hạn để sản xuất; (iii) Tổng số hộ thực hiện tập trung đất nông nghiệp là 8.538 hộ với tổng diện tích đất nông nghiệp được tập trung là 4.672,1 ha; (iv) Tập trung đất nông nghiệp đã làm giảm số thửa đất bình quân trên hộ, làm tăng diện tích đất bình quân trên thửa do vậy đã làm nâng cao hiệu quả sử dụng đất và tạo điều kiện thuận lợi cho việc sử dụng đất của người dân. ABSTRACT This research was conducted in Tay Hoa district, Phu Yen province to assess the results of agricultural land concentration. Based on collecting and analyzing data related to agricultural land concentration in period of 2013-2018 in Tay Hoa district, the research showed that: (i) The concentration of agricultural land was happened in 11 communes and towns in Tay Hoa district with three types of land, including: annual crop land, perennial crop land and production forest land; (ii) The concentration of agricultural land was carried out in three forms: land consolidation, farmers contributed agricultural land to link production and people who rent agricultural land for production in a short-term; (iii) There were 8.538 households that carried out in agricultural land concentration with a total of agricultural land area of 4.672,1 ha; (iv) Concentration of agricultural land has reduced the average number of parcels of land per household and increased the average land area on the parcel in order to enhance the efficiency of land use and create favorable conditions for people in the process of land use.

scholarly journals The Conflicts of Ultilization of Forest Area in Bukit Basa Limited Production Forest, Rejang Lebong District, Bengkulu Province

2019 ◽  
Vol 17 (1) ◽  
pp. 61
Author(s):  
Gunggung Senoaji
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Sampling Technique ◽  
Forest Products ◽  
Forest Area ◽  
Main Function ◽  
Forest Land ◽  
Community Forests ◽  
Crop Land ◽  
Agricultural Business

Bukit Basa Limited Production Forest covers 125 hectares, located in Rejang Lebong District, Bengkulu Province, Indonesia.  The main function of limited production forest is to yield forest products, timber and non timber.  In Bukit Basa Limited Production Forest, there has been a change of land use from forest land to a crop land.  There has been conflict in this forest area. The objective of this study was to describe the characteristics of communities cutivating forest land and to suggest conflict resolution of this forest area. The data were collected by field observation, and interview.  The accidental sampling technique was used to select 42 respondents. Legal approaches were  used to find solutions to the tenurial conflict. The results showed that land use of Bukit Basa Limited Production Forest, in 2017 was entirely crop land. All of this forest areas have been illegaly occupied by people.  The average land area of occupied by a household was 1.24 ha. The people acquired their land by buying (4.76%), renting (21.43%), clearing the forest (42.86%), and inheriting (30.95%). The dependence of this community on the forest area was quite high. Only 38.10% of them had agricultural land outside the forest area; 61.9% depended on the land in the forest area. The contribution of farmers' incomes from agricultural business in forest land was 77.22% of their total income. The legalization of the use of limited production forests as crop lands must be enforced through policy schemes of community-based forest management, such as community forests, village forests, community plantations forest, or partnerships.

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

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.

scholarly journals Dynamics of forage and land cover changes in Teltele district of Borana rangelands, southern Ethiopia: using geospatial and field survey data

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yeneayehu Fenetahun ◽  
Wang Yong-dong ◽  
Yuan You ◽  
Xu Xinwen
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Biomass Production ◽  
Agricultural Land ◽  
Southern Ethiopia ◽  
Forest Land ◽  
Lulc Change ◽  
Grass Land ◽  
Land Use Types ◽  
Bare Land

Abstract Background The gradual conversion of rangelands into other land use types is one of the main challenges affecting the sustainable management of rangelands in Teltele. This study aimed to examine the changes, drivers, trends in land use and land cover (LULC), to determine the link between the Normalized Difference Vegetation Index (NDVI) and forage biomass and the associated impacts of forage biomass production dynamics on the Teltele rangelands in Southern Ethiopia. A Combination of remote sensing data, field interviews, discussion and observations data were used to examine the dynamics of LULC between 1992 and 2019 and forage biomass production. Results The result indicate that there is a marked increase in farm land (35.3%), bare land (13.8%) and shrub land (4.8%), while the reduction found in grass land (54.5%), wet land (69.3%) and forest land (10.5%). The larger change in land observed in both grassland and wetland part was observed during the period from 1995–2000 and 2015–2019, this is due to climate change impact (El-Niño) happened in Teltele rangeland during the year 1999 and 2016 respectively. The quantity of forage in different land use/cover types, grass land had the highest average amount of forage biomass of 2092.3 kg/ha, followed by wetland with 1231 kg/ha, forest land with 1191.3 kg/ha, shrub land with 180 kg/ha, agricultural land with 139.5 kg/ha and bare land with 58.1 kg/ha. Conclusions The significant linkage observed between NDVI and LULC change types (when a high NDVI value, the LULC changes also shows positive value or an increasing trend). In addition, NDVI value directly related to the greenness status of vegetation occurred on each LULC change types and its value directly linkage forage biomass production pattern with grassland land use types. 64.8% (grass land), 43.3% (agricultural land), 75.1% (forest land), 50.6% (shrub land), 80.5% (bare land) and 75.5% (wet land) more or higher dry biomass production in the wet season compared to the dry season.

scholarly journals Determinants of Land Use in Maine with Projections to 2050

1999 ◽  
Vol 16 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Thomas E. Mauldin ◽  
Andrew J. Plantinga ◽  
Ralph J. Alig
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Soil Characteristics ◽  
Land Area ◽  
Usda Forest Service ◽  
Tax Assessment ◽  
Land Rents ◽  
Land Use Policies ◽  
Percentage Basis

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.

scholarly journals Land Use Evaluation over the Jema Watershed, in the Upper Blue Nile River Basin, Northwestern Highlands of Ethiopia

Land ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 50 ◽  
Author(s):  
Mintesinot Taye ◽  
Belay Simane ◽  
Benjamin F. Zaitchik ◽  
Yihenew G. Selassie ◽  
Shimelis Setegn
Keyword(s):  
Land Use ◽  
River Basin ◽  
Soil Texture ◽  
Arable Land ◽  
Nile River ◽  
Cultivated Land ◽  
Land Capability ◽  
Annual Crop ◽  
Crop Land ◽  
Blue Nile River Basin

Generating land capability class guidelines at a watershed scale has become a priority in sustainable agricultural land use. This study analyzed the area of cultivated land use situated on the non-arable land-capability class in the Jema watershed in the Upper Blue Nile River Basin. Soil surveys, meteorological ground observations, a digital elevation model (DEM) at 30 m, Meteosat at 10 km × 10 km and Landsat at 30 m were used to generate the sample soil texture class, average annual total rainfall (ATRF in mm), terrain, slope (%), elevation (m a.s.l) and land-use land cover (%). The land capability class was analyzed by considering raster layers of terrain, the average ATRF and soil texture. Geo-statistics was employed to fit a surface of soil texture and average ATRF estimates. An overlay technique was used to compute the proportion of cultivated land placed on non-arable land. As per the results of the terrain analysis, the elevation (m a.s.l) of the watershed is in the range of 1895 to 3518 m. The slope was found to be in the range of 0 to 45%. The amount of estimated rainfall ranged from 1640 to 131 mm with value declined from the lower to the higher elevation. Clay loam, clay and heavy clay were found to be the major soil texture classes. Four land capability classes, i.e., II, III, IV (arable) and V (non-arable), were identified with proportions of 28.56%, 45.74%, 22.16% and 3.54%, respectively. Seven land-use land covers were identified, i.e., annual crop land, grazing land, bush land, bare land, settlement land, forestland and water bodies, with proportions of 42.1, 35.9, 8.90, 8.3, 2.6, 2.1, and 0.2, respectively. Around 1707.7 ha of land in the watershed is categorized under non-arable land that cannot be used for annual crop cultivation at any level of intensity. Around 437 ha (3.5%) of land was cultivated on non-arable land. To conclude, the observed unsustainable crop land use could maximize soil loss in upstream regions and siltation and flooding downstream. The annual crop land use that was observed on non-arable land needs to be replaced with perennial crops, pasture and/or forest land uses.

scholarly journals Influence Factors in Land Use of Wan Abdul Rachman Forest Park

2018 ◽  
Vol 6 (2) ◽  
pp. 60
Author(s):  
Gita Bahana Simarmata ◽  
Rommy Qurniati ◽  
Hari Kaskoyo
Keyword(s):  
Land Use ◽  
Plant Species ◽  
Influence Factors ◽  
Multiple Linear Regressions ◽  
Forest Land ◽  
Land Area ◽  
Land Utilization ◽  
Forest Park ◽  
Linear Regressions ◽  
Number Of Plant Species

Forest land use is an activity which is committed by the community near the forest to fulfill the needs of their life. This research intended to determine factors that influence land utilization in Wan Abdul Rachman Forest Park. Utilization of forest land was assumed as the number of plant species that planted in forest land. The analysis of this research used multiple linear regressions to test factors that influence the number of plant species. This research showed that the number of plant species was influenced by duration of farming and land area size. It was revaled that longer duration of farming and larger community’s land would increase the number of plant species that has economic values.Keywords: land area, number of plant species, duration of farming, utilization of forest land.

scholarly journals Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data

2020 ◽  
Vol 12 (7) ◽  
pp. 1126
Author(s):  
Jiaojiao Diao ◽  
Jinxun Liu ◽  
Zhiliang Zhu ◽  
Mingshi Li ◽  
Benjamin M. Sleeter
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Chesapeake Bay ◽  
Carbon Emissions ◽  
Agricultural Land ◽  
Carbon Sources ◽  
The United States ◽  
Wood Products ◽  
Forest Land ◽  
Ecosystem Carbon

Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land Change Monitoring and Analysis Program (LCMAP) from 2001 to 2011 was analyzed for transitions between agricultural land, developed land, grassland, forest land and wetland. The Land Use and Carbon Scenario Simulator was used to simulate effects of LULCC and ecosystem disturbance in the south of the Chesapeake Bay Watershed (CBW) on carbon storage and fluxes, with carbon parameters derived from the Integrated Biosphere Simulator. We found that during the study period: (1) areas of forest land, disturbed land, agricultural land and wetland decreased by 90, 82, 57, and 65 km2, respectively, but developed lands gained 293 km2 (29 km2 annually); (2) total ecosystem carbon stock in the CBW increased by 13 Tg C from 2001 to 2011, mainly due to carbon sequestration of the forest ecosystem; (3) carbon loss was primarily attributed to urbanization (0.224 Tg C·yr−1) and agricultural expansion (0.046 Tg C·yr−1); and (4) estimated carbon emissions and harvest wood products were greater when estimated with the annual LULC input. We conclude that a dense time series of LULCC, such as that of the LCMAP program, may provide a more accurate accounting of the effects of land use change on ecosystem carbon, which is critical to understanding long-term ecosystem carbon dynamics.

Assessing changes in soil carbon stocks after land use conversion from forest land to agricultural land in Japan

Geoderma ◽  
2020 ◽  
Vol 377 ◽  
pp. 114487
Author(s):  
Nobuhisa Koga ◽  
Seiji Shimoda ◽  
Yasuhito Shirato ◽  
Takashi Kusaba ◽  
Takeo Shima ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Agricultural Land ◽  
Carbon Stocks ◽  
Forest Land ◽  
Land Use Conversion ◽  
Soil Carbon Stocks

scholarly journals Spatiotemporal Dynamics of Water Table Depth Associated with Changing Agricultural Land Use in an Arid Zone Oasis

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 673 ◽  
Author(s):  
Mireguli Ainiwaer ◽  
Jianli Ding ◽  
Jingjie Wang ◽  
Nasiman Nasierding
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Table ◽  
Agricultural Land ◽  
Alluvial Fan ◽  
Arid Zones ◽  
Cultivated Land ◽  
Spatiotemporal Variations ◽  
Land Area ◽  
Inner Parts

Investigating spatiotemporal dynamics and varying relationships between water table depth (WTD) and land use changes is critical for efficient groundwater management and land use planning in arid zones. The primary objective of the present study is to combine satellite and field measured data to quantitatively analyze variations in WTD and its relationship with land use change in the Ogan–Kucha River Oasis in the northwest arid zones of China, and reveal the spatial heterogeneity and variations in the abovementioned relationship at spatiotemporal scales. The spatiotemporal variations in WTD and land use change at different time intervals (1997–2007, 2007–2017, and 1997–2017) were analyzed based on geostatistical analysis methods and grid cell approaches. The relationships between land use types and changes in WTD were assessed using correlation and ordinary least square analyses. The relationships between spatiotemporal variations in WTD and land use change were explored using local level geographically weighted regression. The results indicated that influences of human activity on the variation of WTD have gradually increased, and that WTD has declined rapidly in most parts of the study area. The spatial distribution of WTD exhibited significant spatiotemporal heterogeneity, and WTD was lower in the inner parts of the oasis and shallower in the oasis-desert ecotone. The WTD decline rates in the irrigation area were much higher than those in the oasis-desert ecotone. The cultivated land area has expanded markedly, whereas the shrub covered area has shrunk rapidly. Changes in WTD were positively correlated with changes in cultivated land area, and the expansion center of cultivated land has gradually moved from upstream of the alluvial fan to downstream of the alluvial fan and to the oasis-desert ecotone. The relationships between changes in cultivated land and WTD in the ecotone were more prominent than those in the inner parts of the oasis. Therefore, agricultural land expansion and planning in the study area should be integrated based on spatiotemporal changes in the groundwater depth to maintain the stability of groundwater systems and sustainable groundwater exploitation.

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