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Displaying 171 - 175 of 1195Processes and prediction of land use/land cover changes (LUCC) driven by farm construction: the case of Naoli River Basin in Sanjiang Plain
The fundamental land use/land cover change (LUCC) of Naoli River (NLR) Basin in Sanjiang Plain since 1954 is characterized with a very significant shrink of wetland area, primarily due to agricultural reclamation, especially farm construction. In this paper, LUCC data of six periods were generated to explore the process of LUCC in NLR; the driving factors were discovered and the regression analysis of these driving factors was realized using the Dyna-CLUE model; and the land use pattern of 2020 in NLR Basin was projected under six scenarios.
prediction of interregional land use differences in Beijing: a Markov model
This study combines statistical methods and a Markov model to analyze interregional differences in land use in Beijing since 2003 and to predict land use changes for 2015 and 2019. First, the paper proposes a new concept, land use flow, which counts the change in area from the beginning to the end of the period of interest, to analyze changing land use patterns using statistical records from 2003 to 2011. Second, based on land use data between 2003, 2007 and 2011, this paper applied a Markov model to the prediction of Beijing land use in 2015 and 2019.
new LandscapeDNDC biogeochemical module to predict CH4 and N 2O emissions from lowland rice and upland cropping systems
BACKGROUND AND AIMS: Replacing paddy rice by upland systems such as maize cultivation is an on-going trend in SE Asia caused by increasing water scarcity and higher demand for meat. How such land management changes will feedback on soil C and N cycles and soil greenhouse gas emissions is not well understood at present. METHODS: A new LandscapeDNDC biogeochemical module was developed that allows the effect of land management changes on soil C and N cycle to be simulated.
Coupled Carbon and Nitrogen Inputs Increase Microbial Biomass and Activity in Prairie Bioenergy Systems
Soil microorganisms drive cycling and storage of soil carbon (C) and nitrogen (N) through decomposition of plant root and litter inputs. However, microbial activities vary greatly in time and space as well as with land management. The goal of this study was to address the seasonal role of microbial activity in soil C and N storage and cycling in harvested prairie and corn ecosystems.
Tidal Channel Diatom Assemblages Reflect within Wetland Environmental Conditions and Land Use at Multiple Scales
We characterized regional patterns of the tidal channel benthic diatom community and examined the relative importance of local wetland and surrounding landscape level factors measured at multiple scales in structuring this assemblage. Surrounding land cover was characterized at the 100, 250, 1,000 m, and watershed buffer scales. Tidal channel benthic diatom communities were characterized by high species richness, abundance of rare species, and an abundance of species characterized as meso-eutraphentic and eutraphentic.