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ABSTRACT: There is plenty of forests in Northeast China which contributes a lot to the conservation of water and land resources, produces
timber products, and provides habitats for a huge number of wild animals and plants. With changes of socio-economic factors
as well as the geophysical conditions, there are dramatic changes on the spatial patterns of forest area. In this sense, it
is of great significance to shed light on the dynamics of forest area changes to find the underlining reasons for shaping
the changing patterns of forest area in Northeast China. To explore the dynamics of forest area change in Northeast China,
an econometric model is developed which is composed of three equations identifying forestry production, conversion from open
forest to closed forest and conversion from other land uses to closed forest so as to explore the impacts on the forest area
changes from demographic, social, economic, location and geophysical factors. On this basis, we employ the Dynamics of Land
System (DLS) model to simulate land-use conversions between forest area and non-forest cover and the land-use conversions
within the sub-classes of forest area for the period 2000–2020 under business as usual scenario, environmental protection
scenario and economic growth scenario. The simulation results show that forest area will expand continuously and there exist
various kinds of changing patterns for the sub-classes of forest area, for example, closed forest will expand continuously
and open forest and shrub will decrease a little bit, while area of other forest will keep intact. The research results provide
meaningful decision-making information for conserving and exploiting the forest resources and making out the planning for
forestry production in the Northeast China region.
Keywordsforest area-forestry production-econometric model-dynamics of land system-Northeast China
Journal of Geographical Sciences 04/2012; 20(4):495-509. · 0.83 Impact Factor
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ABSTRACT: Lake eutrophication due to the accumulation of nitrogen and phosphorus has recently been identified as one of the great threats to water quality in lakes. In this paper, we developed a multi-sectoral dynamic applied general equilibrium model (MDAGEM) to explore the strategies to reduce the emission of nitrogen and phosphorus at the catchment extent. A case study was conducted in the Lake Wuliangsuhai Catchment (LWC) of Inner Mongolia by using MADGEM. According to the simulation results, we conclude that although reduction of nitrogen and phosphorus might play a negative effect on economy at a short term, the measures currently taken to control the emission of nitrogen and phosphorus will do well for the long-term effects. What we need to do now is to seek an equilibrium point between the emission reduction and economic development.
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on; 11/2009
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Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, BMEI 2009, October 17-19, 2009, Tianjin, China; 01/2009
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ABSTRACT: With a subtropical climate, Guangxi Zhuang Autonomous Region has a typical karst landscape. Rocky desertification has become
a serious environmental issue due to its high vulnerability caused by the joint effect of natural settings and human activities,
because of which its ecoenvironment has been deteriorated in recent years, and farmland has been disappearing sharply at the
same time. This, in turn, has exacerbated the poverty level in the rural areas of the region. In this study, we monitored
the spatial distribution of rocky land desertification and its temporal evolution using Landsat TM/ETM images of 1985, 1995,
2000 and 2005. We also analyzed the driving forces of the desertification and its expansion. Through constructing regression
models by using all the relevant variables and considering the lagged effects as well as fixed effects, we quantified the
exact role of different factors causing rocky land desertification in the study area with some new findings. The new findings
in this study are greatly helpful for preserving, restoring and reconstructing the degraded mountain environment in Guangxi
and other karst areas in Southwest China, and also for alleviating poverty in the rural areas in the future.
Journal of Mountain Science 11/2008; 5(4):350-357. · 1.00 Impact Factor
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ABSTRACT: Land is one of the most important natural resources. The assessment of the current land use pattern suitability can help people make good use of the natural resources. In this paper, the land-use suitability index (SI) is used to evaluate the suitability of the land use pattern in the hilly area of Shandong Peninsular of China. Land use data is derived from Landsat TM/ETM acquired in 1988 and 2000 using the multi-source information fusion method. The results indicate that, the land-use suitability is slightly improved from 1988 to 2000 and the corresponding SI-values changed from 0.77 to 0.80. The difference value of land-use suitability is only 0.03, not as large as people previously predicted.
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International; 08/2008
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ABSTRACT: It is of great significance to understand the spatial variability of soil organic carbon (SOC) stocks of North China Plain which is one of the most important grain production bases in China. In this paper, we use Kriging interpolation method to generate a surface using the site-based SOC stocks in North China plain and then analyze the spatial variability of carbon SOC stocks. The surface data on the SOC stocks offers the one of the most important reference information to support the carbon management.
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International; 08/2008
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ABSTRACT: It is of great significance to predict soil organic carbon (SOC) stock of North China Plain which is one of the most important grain production bases with wheat-corn rotation as its main cropping system in China. In this study, a data simulation strategy is developed to predict SOC stock which is featured by the syntheses of two models, Estimation System for Agricultural Productivity (ESAP) and the spatial explicit SOC decomposition model. Model-based simulation indicates that the SOC stock in the agricultural soils of North China Plain would change in a nonlinear trend in the next two decades.
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International; 08/2008
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ABSTRACT: In this study we quantified land cover changes in the arid region of Yulin City, Northwest China between 1985 and 2000 using remote sensing and GIS in conjunction with landscape modeling. Land covers were mapped into 20 categories from multitemporal Landsat TM images. Five landscape indices were calculated from these maps at the land cover patches level. It was found that fallow land decreased by 125,148 ha while grassland and woodland increased by 107,975 and 17,157 ha, respectively. Landscape heterogeneity, dominance and fractal dimension changed little during the 15-year period while landscape became more fragmented, with an index rising from 0.56 to 0.58. The major factors responsible for these changes are identified as the change in the government policy on preserving the environment, continued growth in mining, and urbanization.
Environmental Monitoring and Assessment 04/2008; 138(1-3):139-47. · 1.40 Impact Factor
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ABSTRACT: Along with its economic reform, China has experienced a rapid urbanization. This study mapped urban land expansion in China using high-resolution Landsat Thematic Mapper and Enhanced Thematic Mapper data of 1989/1990, 1995/1996 and 1999/2000 and analyzed its expansion modes and the driving forces underlying this process during 1990-2000. Our results show that China's urban land increased by 817 thousand hectares, of which 80.8% occurred during 1990-1995 and 19.2% during 1995-2000. It was also found that China's urban expansion had high spatial and temporal differences, such as four expansion modes, concentric, leapfrog, linear and multi-nuclei, and their combinations coexisted and expanded urban land area in the second 5 y was much less than that of the first 5 y. Case studies of the 13 mega cities showed that urban expansion had been largely driven by demographic change, economic growth, and changes in land use policies and regulations.
AMBIO A Journal of the Human Environment 09/2005; 34(6):450-5. · 2.03 Impact Factor
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Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International; 08/2005
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ABSTRACT: The purpose of this study is to examine the conversions of forests in Northeast China during 1988-2005 by using a 1-km area percentage data model (1-km APDM) with remote sensing data and to find the spatiotemporal characteristics of land conversions between forests and other land uses/covers and internal conversions between forest cover types. Data were derived from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) images of bands 3, 5, and 4 acquired in 1988, 1995, 2000, and 2005. Research results show that in the period between 1988 and 2005, the forest area in Northeast China underwent dramatic changes, and 4.11 million ha of forest area was aggregately lost because of the conversions of forests to other land uses/covers; at the same time, the forest area also gained 2.00 million ha because of the conversions from other land uses/covers to forests. The results also demonstrate the forest degradation resulting from the conversions between different forest cover types. This research demonstrates the feasibility and importance of using the 1-km APDM at a finer resolution to trace the spatiotemporal patterns of the forest conversions.
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ABSTRACT: Modeling land use scenario changes and its potential impacts on the structure and function of the ecosystem and economy in the typical regions are helpful to understanding the interactive mechanism between land use system and ecological system or and economic factors. The CLUE-S model integrated with System Dynamics (SD) model is developed with three land use scenario changes in Taips County of China from 2001 to 2020 simulated in this paper. System Dynamics model can predict the complex system change under the different "what-if" scenarios, which makes it a good tool and be widely used in different fields of natural science, social science and engineering technology. The simulated results indicate that obvious land use changes will take place in the unused area and farming-pastoral zone of Taips County from 2001 to 2020 with unused land and urban land being the most active land use types.
