Global patterns of agricultural land-use intensity and vertebrate diversity

2015 ◽  
Vol 21 (11) ◽  
pp. 1308-1318 ◽  
Author(s):  
Laura Kehoe ◽  
Tobias Kuemmerle ◽  
Carsten Meyer ◽  
Christian Levers ◽  
Tomáš Václavík ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Global Patterns

Diversity and abundance of earthworms across an agricultural land-use intensity gradient

2008 ◽  
Vol 100 (1-2) ◽  
pp. 83-88 ◽  
Author(s):  
R SMITH ◽  
C MCSWINEY ◽  
A GRANDY ◽  
P SUWANWAREE ◽  
R SNIDER ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Intensity Gradient ◽  
Land Use Intensity Gradient

The impact of urban expansion on agricultural land use intensity in China

2013 ◽  
Vol 35 ◽  
pp. 33-39 ◽  
Author(s):  
Li Jiang ◽  
Xiangzheng Deng ◽  
Karen C. Seto
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
The Impact

scholarly journals Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China

2020 ◽  
Vol 17 (18) ◽  
pp. 6910
Author(s):  
Li Yu ◽  
Zhanqi Wang ◽  
Hongwei Zhang ◽  
Chao Wei
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Hubei Province ◽  
Driving Factors ◽  
The Other ◽  
Moran’S I ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Moran's I ◽  
Continuous Growth

Scientifically characterizing the spatial-temporal distribution characteristics of agricultural land use intensity and analyzing its driving factors are of great significance to the formulation of relevant agricultural land use intensity management policies, the realization of food safety and health, and the achievement of sustainable development goals. Taking Hubei Province as an example, and taking counties as the basic evaluation unit, this paper establishes an agricultural land use intensity evaluation system, explores the spatial autocorrelation of agricultural land use intensity in each county and analyzes the driving factors of agricultural land use intensity. The results show that the agricultural land use intensity in Hubei Province increased as a whole from 2000 to 2016, and the spatial agglomeration about the agricultural land use intensity in Hubei Province experienced a process of continuous growth and a fluctuating decline; the maximum of the Global Moran’s I was 0.430174 (in 2007) and the minimum was 0.148651 (in 2001). In terms of Local Moran’s I, H-H agglomeration units were mainly concentrated in two regions: One comprising the cities of Huanggang, Huangshi and Ezhou, and the other the cities of Xiangyang and Suizhou; the phenomenon is particularly obvious after 2005. On the other hand, factors such as the multiple cropping index (MCI) that reflect farmers’ willingness to engage in agricultural production have a great impact on agricultural land use intensity, the influence of the structure of the industry on agricultural land use intensity varies with the degree of influence of different industries on farmers’ income, and agricultural fiscal expenditure (AFE) has not effectively promoted the intensification of agricultural land use. The present research has important significance for enhancing insights into the sustainable improvement of agricultural land use intensity and for realizing risk control of agricultural land use and development.

A STUDY OF RELATIONSHIPS BETWEEN SOIL SURVEY DATA AND AGRICULTURAL LAND USE USING INFORMATION THEORY

1987 ◽  
Vol 67 (1) ◽  
pp. 95-102 ◽  
Author(s):  
J. DUMANSKI ◽  
M. PHIPPS ◽  
E. HUFFMAN
Keyword(s):  
Information Theory ◽  
Land Use ◽  
Agricultural Land ◽  
Spatial Interaction ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Land Uses ◽  
Sources Of Information ◽  
Survey Statistics

The significant advances which have been made on inventories of agricultural land use and in updating soil survey information provide an opportunity to compare these new sources of information to identify which of the various land factors shown on soil survey maps correlate most closely with agricultural land use. Three study areas representing three levels of land use intensity were used. Statistics of information theory were evaluated for application in studies of this type. Results demonstrate that a statistically significant correlation (adjustment) between physical land conditions and land use has occurred in all three areas. However, the degree of correlation varied according to the land use and the types of land factors considered. Increased correlation was achieved when land uses were weighted by economic investment. The factor called "soil association" was identified as correlating best with land use, but factors such as surface texture, capability class, slope and "spatial interaction" were also significant. Key words: Land use, soil survey, statistics, information theory, capability, economic investment

Agricultural land-use intensity and its effects on small mammals in the central region of Argentina

2015 ◽  
Vol 60 (4) ◽  
pp. 415-423 ◽  
Author(s):  
María Daniela Gomez ◽  
José Coda ◽  
Ivana Simone ◽  
Juan Martínez ◽  
Florencia Bonatto ◽  
...  
Keyword(s):  
Land Use ◽  
Small Mammals ◽  
Central Region ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use Intensity

Are agricultural land-use models able to predict changes in land-use intensity?

2000 ◽  
Vol 82 (1-3) ◽  
pp. 321-331 ◽  
Author(s):  
E.F Lambin ◽  
M.D.A Rounsevell ◽  
H.J Geist
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Land Use Models

Structural change of agricultural land use intensity and its regional disparity in China

2009 ◽  
Vol 19 (5) ◽  
pp. 545-556 ◽  
Author(s):  
Yuqi Chen ◽  
Xiubin Li ◽  
Yujun Tian ◽  
Minghong Tan
Keyword(s):  
Land Use ◽  
Structural Change ◽  
Agricultural Land ◽  
Regional Disparity ◽  
Agricultural Land Use ◽  
Land Use Intensity
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