THE INFLUENCE OF LAND USE AND VEGETATION ON THE POPULATION DENSITY OF HYPHANTRIA CUNEA

1971 ◽  
Vol 103 (11) ◽  
pp. 1525-1536 ◽  
Author(s):  
R. F. Morris

AbstractThe objects of this study were to determine whether the population density of Hyphantria cunea Drury is dependent on land use, vegetation pattern, and plant species; and to compare the extensive methods designed for this work with more intensive, single-plot designs.In two separate gradations, covering a period of 12 years, density was positively correlated with agricultural land use, open rather than closed patterns of vegetation, and the occurrence of only a few of the principal host species. The analysis showed how these variables affected density both within and between different climatic areas, and suggested how cultural methods might be used in population management.Extensive designs permit the development and testing of holistic models designed to explain both spatial and temporal differences in population density, and provide the replication required for the latter purpose. It is important to model spatial differences in density because such variables as vegetation pattern and composition are sometimes subject to cultural modification. Very intensive designs, based on sampling only a few trees at one point, do not permit the development of complete models and, because of plant host and dispersal phenomena affecting insects and their parasites, produce data that may be unreliable even for sub-models, such as those dealing with host–parasite interactions.

2013 ◽  
Vol 316-317 ◽  
pp. 197-199 ◽  
Author(s):  
Chen Guang Xu ◽  
Amat Anwar

On the basis of analysis of the development of urbanization and land use change in Zhengzhou City in2004-2010, The drive mechanism of the intensity of land use change in the research context of rapid urbanization, To explore the degree of land use change human driving factors, Drive and build a model, The results show that: Unit of agricultural land and the ratio of the output value of the land for construction as well as population density and land use intensity positive correlation, Making land use intensity tends to increase, The population density growth, Urbanization of the population and economic non-farm is the main driving factor for the intensity of land use change. And then proceed to the analysis of the spatial pattern of Zhengzhou City, Investigate the level of urbanization and land use / cover the relationship between landscape pattern.


2013 ◽  
Vol 32 (4) ◽  
pp. 91-102 ◽  
Author(s):  
Ewa Kacprzak ◽  
Barbara Maćkiewicz

Abstract The pressure exerted by a large city determines non-agricultural forms of land use in areas situated in its neighbourhood. Among the most alarming consequences of urban sprawl onto the surrounding areas are a steady and irreversible shrinkage of farmland and conflicts resulting from a mix of functions performed by the areas. This article describes the dynamics, scale and spatial differences of the process of taking agricultural land out of production in the Poznań agglomeration in the 21st century in terms of changes in the land-use pattern. In characterising the converted land, it also presents chief directions of its transformation, the regulations in force, and the resultant lack of full information about factual, and not only partial, conversions.


2012 ◽  
Vol 90 (7) ◽  
pp. 868-874 ◽  
Author(s):  
A.J. White ◽  
R.G. Poulin ◽  
B. Wissel ◽  
J.L. Doucette ◽  
C.M. Somers

Habitat conversion is among the most important causes of environmental change worldwide, yet relatively little is known about its potential influence on trophic interactions. We investigated the effects of agricultural land use on carbon and nitrogen stable isotope values, trophic status, population density, and body condition of deer mice ( Peromyscus maniculatus (Wagner, 1845)) in a grassland ecosystem. Muscle δ15N (cropland = 7.6‰ ± 1.3‰; hay fields = 7.9‰ ± 1.3‰; native prairie = 7.2‰ ± 2.1‰) from deer mice did not vary with land use despite baseline soil and vegetation δ15N differences. Enrichment of deer mice over vegetation (Δδ15N) was, on average, a full trophic level (~2.5‰) higher on native prairie (6.4‰ ± 1.6‰) than on cropland (3.9‰ ± 2.3‰), and intermediate in hay fields (5.9‰ ± 2.0‰). Relative density of deer mice was more than twofold higher in crop and hay fields compared with native prairie, but body condition did not vary with land use. Our results suggest that agricultural activity caused a shift in the trophic level and relative abundance of a generalist grassland omnivore. Soil and vegetation δ15N reflected anthropogenic N inputs to agricultural fields but were not useful as general markers of habitat use in this study.


2020 ◽  
Author(s):  
Stanley Chasia ◽  
Luke Olang ◽  
Lewis Sitoki ◽  
Mathew Hernnergger

<p>Changes in land use/cover are among the most important anthropogenic transformation on the physical environment affecting proper functioning of the earth system. Hitherto, land characterization has often been studied using archived satellite data products to understandd trends in space and time. However, due to future uncertainties in land use change in developing countries and the associated impacts on the physical environment, there is need to model these changes at a local scale. A modelling framework to simulate empirically quantified relations between land use and its driving factors was used in the Sio-Malaba-Malakisi catchment between Kenya and Uganda. Changes for the catchment were simulated for a period of 30 years (2017 – 2047) using model parameters that define location characteristics, spatial policies, area restrictions, land use demand and conversion elasticity settings. Elevation, slope, population density, soil organic carbon, soil CEC and precipitation were potential factors selected to evaluate the suitability of devoting a grid cell to a land use type using a stepwise regression model. The scenarios evaluated include first growth, slow growth and an urbanization scenario. The high ROC value in all statistical tests (>0.72) indicated that the spatial distribution of some land use types in the basin could be explained by the selected driving variables. In a fast growth scenario (under policy restriction), areas under open soil and shrubland would be converted to cropland when demand for cash crop goes up in the region. Areas under open trees and marshland outside protected zones, would be converted to agricultural land while barren land with rock outcrops would remain largely unchanged over the period. In a slow growth scenario, expansion of the area under cropland would follow historical trend at 1.25% growth per annum. Marshland areas unsuitable for agricultural expansion are projected to remain the same. In an urbanization scenario, built-up areas would increase steadily at >1% per annum especially in areas earmarked for infrastructural development. In all the scenarios explored, topography, precipitation, soil characteristics and population density were identified as the key drivers of land use change. Results of this study would enhance the understanding of the complexities in projecting future land cover changes and provide baseline data for supporting ongoing soil and land management programs in a data scarce area.</p><p><strong>Key words:</strong> Land use change; CLUE-S model; Scenario analysis; Sio-Malaba-Malakisi catchment; Transboundary basin</p>


2013 ◽  
pp. 79-94
Author(s):  
Ngoc Luu Bich

Climate change (CC) and its impacts on the socio-economy and the development of communities has become an issue causing very special concern. The rise in global temperatures, in sea levels, extreme weather phenomena, and salinization have occurred more and more and have directly influenced the livelihoods of rural households in the Red River Delta – one of the two regions projected to suffer strongly from climate change in Vietnam. For farming households in this region, the major and traditional livelihoods are based on main production materials as agricultural land, or aquacultural water surface Changes in the land use of rural households in the Red River Delta during recent times was influenced strongly by the Renovation policy in agriculture as well as the process of industrialization and modernization in the country. Climate change over the past 5 years (2005-2011) has started influencing household land use with the concrete manifestations being the reduction of the area cultivated and the changing of the purpose of land use.


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