Land Consolidation-Induced Effects on Local Landscape Patterns in Hilly and Mountainous Southwestern China

2011 ◽  
Vol 356-360 ◽  
pp. 2980-2990
Author(s):  
Fang Ling Fan ◽  
Chao Fu Wei ◽  
Shuai Yin

Land Consolidation Project (LCP), as a kind of drastic disturbance by human intentional activities, significantly changes landscape pattern. The information of landscape pattern from land-use map and planning map (scale: 1:2000) were extracted by taking the land consolidation project in hilly and mountainous area of Bashan Town, Zhong County, Chongqing, Southwestern China as an example. The whole landscape structure and each land use type class level metrics of landscape pattern were calculated. Then their effects on local landscape patterns were estimated by Fragstats for Arcview. Sixteen metrics had been chosen to describe the changes before and after LCP. The total area of the research region was 1037.45 hm2, and arable land area accounted for 80.95%, therefore heterogeneous map was mosaic. Land Leveling Project (LLP) got each patch of arable land expanded. The fragmentation was sharply reduced .The complex of patches edge was decreased. The shape of each field was ruled. And all above were beneficial for the growth of crop and plantation, especially in a large scale. LCP could reallocate fragment parcels and improve agricultural conditions.

2014 ◽  
Vol 955-959 ◽  
pp. 3962-3967
Author(s):  
Xiao Yi ◽  
Yin Ke

The research object of this paper is comprehensive land consolidation pilot area in DaLu Town of Chongqing. Establish based on the PSR framework arable land intensive use of the evaluation system, dynamic evaluation of urban land high efficient intensive utilization in the study area form 2008 to 2012. The results show: (1) Through comprehensive land consolidation, three indicators have improved to varying degrees. (2)Improve the maximum is state index, its index increased0.3335; Improve second multi is pressure index, its index increased0.1043; Improve minimum is respond index, its index increased0.1000.(3)Overall, the level of intensive arable land use showed an increasing trend in study area. Through comprehensive land consolidation, intensive arable land use level improves the range of 29.70%.


2021 ◽  
Vol 101 (1) ◽  
pp. 31-47
Author(s):  
Marko Langovic ◽  
Slavoljub Dragicevic ◽  
Ivan Novkovic ◽  
Nenad Zivkovic ◽  
Radislav Tosic ◽  
...  

Riverbank erosion and lateral channel migration are important geomorphological processes which cause various landscape, socio-economic, and environmental consequences. Although those processes are present on the territory of Serbia, there is no available data about the soil loss caused by riverbank erosion for the entire country. In this study, the spatial and temporal dynamics of the riverbank erosion for the largest internal rivers in Serbia (Velika Morava, Zapadna Morava, Juzna Morava, Pek, Mlava, Veliki Timok, Kolubara) was assessed using remote sensing and GIS. The aim of this paper is to determine the total and average soil loss over large-scale periods (1923-2020), comparing data from the available sources (aerial photographs, satellite images, and different scale paper maps). Results indicated that lateral migration caused significant problems through land loss (approximately 2,561 ha), especially arable land, and land use changes in river basins, but also economic loss due to the reduction of agricultural production. Total and average soil loss was calculated for five most representative meanders on all studied rivers, and on the basis of the obtained values, certain regularities about further development and dynamics of riverbank movement are presented. A better understanding of river channel migration in this area will be of a great importance for practical issues such as predicting channel migration rates for river engineering and planning purposes, soil and water management and land use changes, environment protection.


2020 ◽  
Vol 11 (4) ◽  
pp. 93-109
Author(s):  
Stavros KOLIOS ◽  
◽  
George NTOGAS ◽  
Efthimios ZERVAS ◽  
◽  
...  

The scope of the study is to detect spatial changes in the forested areas over six decades (1945 - 2010) of two completely different landscapes in Greece (pilot areas). The first pilot area is Kastoria which is a relatively remote and mountainous area located northwestern on the Greek peninsula, while the second one is Propontida which is a coastal area in the Chalkidiki peninsula (central Macedonia, Greece). High resolution orthorectified aerial images are used to detect the general types (classes) of land use/land cover (LULC) in these pilot areas. The results reveal that during the examined period, a notable spatial growth and thickening of the forest areas was found (10,51%) in the pilot area of Kastoria. The spatial homogeneity of the forested areas in Kastoria decreased only by 2,11%. Regarding Propontida, the forested areas decreased in total about 13,02% while the agricultural and arable land has increased by 12,10%.


2018 ◽  
Vol 10 (11) ◽  
pp. 4287 ◽  
Author(s):  
Yantao Xi ◽  
Nguyen Thinh ◽  
Cheng Li

Rapid urbanization has dramatically spurred economic development since the 1980s, especially in China, but has had negative impacts on natural resources since it is an irreversible process. Thus, timely monitoring and quantitative analysis of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential. This study aimed to inspect spatiotemporal characteristics of landscape pattern responses to land use changes in Xuzhou, China durfing the period of 1985–2015. In this context, we propose a new spectral index, called the Normalized Difference Enhanced Urban Index (NDEUI), which combines Nighttime light from the Defense Meteorological Satellite Program/Operational Linescan System with annual maximum Enhanced Vegetation Index to reduce the detection confusion between urban areas and barren land. The NDEUI-assisted random forests algorithm was implemented to obtain the land use/land cover maps of Xuzhou in 1985, 1995, 2005, and 2015, respectively. Four different periods (1985–1995, 1995–2005, 2005–2015, and 1985–2015) were chosen for the change analysis of land use and landscape patterns. The results indicate that the urban area has increased by about 30.65%, 10.54%, 68.77%, and 143.75% during the four periods at the main expense of agricultural land, respectively. The spatial trend maps revealed that continuous transition from other land use types into urban land has occurred in a dual-core development mode throughout the urbanization process. We quantified the patch complexity, aggregation, connectivity, and diversity of the landscape, employing a number of landscape metrics to represent the changes in landscape patterns at both the class and landscape levels. The results show that with respect to the four aspects of landscape patterns, there were considerable differences among the four years, mainly owing to the increasing dominance of urbanized land. Spatiotemporal variation in landscape patterns was examined based on 900 × 900 m sub-grids. Combined with the land use changes and spatiotemporal variations in landscape patterns, urban growth mainly occurred in a leapfrog mode along both sides of the roads during the period of 1985 to 1995, and then shifted into edge-expansion mode during the period of 1995 to 2005, and the edge-expansion and leapfrog modes coexisted in the period from 2005 to 2015. The high value spatiotemporal information generated using remote sensing and geographic information system in this study could assist urban planners and policymakers to better understand urban dynamics and evaluate their spatiotemporal and environmental impacts at the local level to enable sustainable urban planning in the future.


2016 ◽  
Vol 62 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Gabriela Barančíková ◽  
Jarmila Makovníková ◽  
Ján Halas

Abstract The direction of changes and conversion of soil organic carbon (SOC) is in most current ecosystems influenced by human activity. Soil Science and Conservation Research Institute is responsible for monitoring the agricultural soils in a five-year cycle. One part of the soil monitoring involves the determination of the soil organic carbon (SOC) storage. Further, we followed the conversion of arable land on grassland during more than 20 years of monitoring period at some locations where changes in land use occurred. Ten places on basic network and 2 places on key monitoring localities in which arable land have been converted into grassland were identified. About 50 percent of studied soils converted into permanent grassland were Cambisols. The other converted soil types were Luvic Stagnosol, Stagnic Regosol, Mollic Fluvisol, and Stagnic Luvisol. The results showed that after the third monitoring cycle (2002), increase of SOC was observed in all the localities, with the change in land use. Statistical parameter (t-test) confirmed significant differences between the set of average SOC values before and after the land use conversion. The chemical structure of humic acids (HA) isolated from arable soil and permanent grassland indicated increasing of aliphatic carbon content in grassland HA. More aromatic and stabile were HA isolated from arable soils.


Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 990
Author(s):  
Yongfen Zhang ◽  
Nong Wang ◽  
Chongjun Tang ◽  
Shiqiang Zhang ◽  
Yuejun Song ◽  
...  

Landscape patterns are a result of the combined action of natural and social factors. Quantifying the relationships between landscape pattern changes, soil erosion, and sediment yield in river basins can provide regulators with a foundation for decision-making. Many studies have investigated how land-use changes and the resulting landscape patterns affect soil erosion in river basins. However, studies examining the effects of terrain, rainfall, soil erodibility, and vegetation cover factors on soil erosion and sediment yield from a landscape pattern perspective remain limited. In this paper, the upper Ganjiang Basin was used as the study area, and the amount of soil erosion and the amount of sediment yield in this basin were first simulated using a hydrological model. The simulated values were then validated. On this basis, new landscape metrics were established through the addition of factors from the revised universal soil loss equation to the land-use pattern. Five combinations of landscape metrics were chosen, and the interactions between the landscape metrics in each combination and their effects on soil erosion and sediment yield in the river basin were examined. The results showed that there were highly similar correlations between the area metrics, between the fragmentation metrics, between the spatial structure metrics, and between the evenness metrics across all the combinations, while the correlations between the shape metrics in Combination 1 (only land use in each year) differed notably from those in the other combinations. The new landscape indicator established based on Combination 4, which integrated the land-use pattern and the terrain, soil erodibility, and rainfall erosivity factors, were the most significantly correlated with the soil erosion and sediment yield of the river basin. Finally, partial least-squares regression models for the soil erosion and sediment yield of the river basin were established based on the five landscape metrics with the highest variable importance in projection scores selected from Combination 4. The results of this study provide a simple approach for quantitatively assessing soil erosion in other river basins for which detailed observation data are lacking.


2019 ◽  
Vol 48 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Holger Kirchmann

The aim of this article is to provide information about crop production data based on large-scale organic farming and to point toward major consequences. National statistics show lower organic yields than compiled in meta-analyses from farm- and plot-scale. Yields of organically cropped legumes were 20% and nonlegumes 40% lower than those of conventionally grown crops. Area estimates showed that almost two of three crops were legumes or legume mixtures in organic farming, whereas one of three crops was a legume in conventional cropping. Doubling land use for legumes in organic farming affected the type of food produced, being dominated by milk products and red meat. Over all crops, the organic yield gap was 35%. Since yields are lower under organic than conventional practices, more land is required to produce the same amount of agricultural crops. A 35% yield gap means that 50% more arable land is required. A demand for 50% more farmland imposes huge land use changes and makes one realize the wide-ranging environmental consequences that follow when converting to organic farming. In a relevant comparison between organic and conventional cropping systems, environmental consequences caused by land use change such as lost products (timber, fiber, energy, etc.) and lost ecosystem services (sequestered carbon in soil, wildlife, biodiversity, etc.) must be included. The concept of organic farming was founded on philosophical views about nature, not biological science. Natural means and methods were assumed to be superior. Verification of the reasoning and statements of the founders on why to abandon mineral fertilizers cannot be corroborated by science and is incorrect. Scientific evidence for the concept to abandon synthetic mineral fertilizers as nutrients for crops is lacking. The scientific community is obliged to follow rigorous scientific criteria—not biased views, prejudices, or beliefs.


2000 ◽  
Vol 76 (3) ◽  
pp. 475-480 ◽  
Author(s):  
Robert G. D'Eon ◽  
Susan M. Glenn

Human perception and intuition can powerfully influence how we measure and interpret landscape pattern. We compared human perception with more quantitative measures to determine their relative efficacy in arriving at conclusions about landscape pattern. We surveyed 30 professional workshop participants and 38 undergraduate students for their perception of landscape fragmentation before and after calculating a suite of landscape metrics. Participants' perception of fragmentation was most correlated with number of patches, patch density, and patch shape. Most participants retained their original intuitive response after calculating indices. We suggest that a lack of meaningful quantitative expressions for absolute landscape structure will continue to result in a dependence on intuitive human perception for management of landscape pattern. Key words: landscape pattern, forest fragmentation, perception, landscape metrics, forest management


2020 ◽  
pp. 63-72
Author(s):  
Vihra Stoinova ◽  
Diyana Nekova

An assessment of the suitability of the arable land in the Dobrich region for its effective agricultural use has been prepared using an eight rate classification where the land valuation strategy guarantees the conservation of natural resources, with particular attention to erosion as a limiting factor. Maps of the area with Land Capability evaluation classes for effective agricultural and erosion control land use and the actual risk of water erosion have been developed.This allows the use of an integrated approach to the definition of soil protection measures - taking into account both soil constraints (labeled with subclass land) and the need for prevention against erosion processes. A set of different soil protection practices is recommended, each determined according to the specific soil, topographical and climatic features of the studied area, determined by the class and subclass of the land and depending on the degree of erosion risk and the way of land use (defined by Physical Blocks, 2016). The agronomic assessments according to the soil and climate conditions of the main agricultural crops are lnked to the detailed large-scale database created in the GIS format and the most suitable places for their cultivation on the territory of the Dobrich region have been identified. The agronomic fitness of arable land for the cultivation of wheat, maize, peaches and vines is assessed. Maps for the degree of their agronomic fitness were prepared. It is clear that almost all of the entire territory has a very good and good land for cultivation of these crops.


2019 ◽  
Vol 6 (1) ◽  
pp. 31
Author(s):  
Nuramalina Binti Mohamad ◽  
Wan Yusryzal Wan Ibrahim ◽  
Ahmad Nazri M. Ludin

Dengue is the most common urban disease that is most prevalent in tropical areas. WHO 2009 stated that these diseases has grown a public health concern due to the risk of dengue infection that has increased dramatically between 50 and 100 million cases every year. This issue was very corresponded with landscape and environment changes. The objective of this paper is to discuss how landscape patterns in relation to dengue incidence.  Open website; idengue were highly contributed in this study to locate the most risky area for dengue fever incidence at the township level. Geographic information system (GIS) was used to demonstrate the spatial patterns of all dengue cases in Johor Bahru and Geoprocessing was used to measure the boundary of risk according to the distribution of dengue outbreak. After that, to analyze the spatial landscape pattern, satellite images were used.  Spatial descriptive analysis shows non-strata housing, open space, road, planned commercial, strata housing and drainage system network is the most prevalence land use activity for dengue incidence in Iskandar Region. The finding shows the common landscape composition that relates to dengue cases. In conclusion, the future development of land use should be considered on landscape pattern towards rapid urbanization. 


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