Nothing Special   »   [go: up one dir, main page]

Pei et al., 2015 - Google Patents

Exploring the response of net primary productivity variations to urban expansion and climate change: A scenario analysis for Guangdong Province in China

Pei et al., 2015

View PDF
Document ID
15330006170472695346
Author
Pei F
Li X
Liu X
Lao C
Xia G
Publication year
Publication venue
Journal of environmental management

External Links

Snippet

Urban land development alters landscapes and carbon cycle, especially net primary productivity (NPP). Despite projections that NPP is often reduced by urbanization, little is known about NPP changes under future urban expansion and climate change conditions. In …
Continue reading at www.geosimulation.cn (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations

Similar Documents

Publication Publication Date Title
Pei et al. Exploring the response of net primary productivity variations to urban expansion and climate change: A scenario analysis for Guangdong Province in China
Wei et al. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions
Nie et al. Simulating future land use by coupling ecological security patterns and multiple scenarios
Amanambu et al. Spatio-temporal variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West Africa
Feng et al. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits
Cohn et al. Forest loss in Brazil increases maximum temperatures within 50 km
Marhaento et al. Hydrological response to future land-use change and climate change in a tropical catchment
He et al. Drought risk of global terrestrial gross primary productivity over the last 40 years detected by a remote sensing‐driven process model
Chen et al. Adapting observationally based metrics of biogeophysical feedbacks from land cover/land use change to climate modeling
Lyu et al. Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH‐3r model and InVEST model
Swenson et al. Representing intrahillslope lateral subsurface flow in the community land model
Merritt et al. Hydrologic response to scenarios of climate change in sub watersheds of the Okanagan basin, British Columbia
Liu et al. Environmental effects of land-use/cover change caused by urbanization and policies in Southwest China Karst area–A case study of Guiyang
Xu et al. Assessing the vulnerability of ecosystems to climate change based on climate exposure, vegetation stability and productivity
Kumar et al. A geographically weighted regression kriging approach for mapping soil organic carbon stock
Pei et al. Assessing the differences in net primary productivity between pre-and post-urban land development in China
Xu et al. Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010
Madani et al. Improving global gross primary productivity estimates by computing optimum light use efficiencies using flux tower data
Wang et al. Value assessment of ecosystem services in nature reserves in Ningxia, China: A response to ecological restoration
Cai et al. Improved estimations of gross primary production using satellite‐derived photosynthetically active radiation
Nunes et al. Recovery of logged forest fragments in a human-modified tropical landscape during the 2015-16 El Niño
Shi et al. Physically based simulation of the streamflow decrease caused by sediment‐trapping dams in the middle Yellow River
Pei et al. Seasonal divergence in the sensitivity of evapotranspiration to climate and vegetation growth in the Yellow River Basin, China
Cui et al. Vegetation functional properties determine uncertainty of simulated ecosystem productivity: A traceability analysis in the East Asian monsoon region
Eingrüber et al. Climate change simulation and trend analysis of extreme precipitation and floods in the mesoscale Rur catchment in western Germany until 2099 using Statistical Downscaling Model (SDSM) and the Soil & Water Assessment Tool (SWAT model)