Linjun Li
Chinese Academy of Sciences
9 Papers
124 Citations
Linjun Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Emergy & Forest ecology. The author has an hindex of 8, co-authored 9 publications. Previous affiliations of Linjun Li include Peking University.
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Papers
Emergy evaluations of three aquaculture systems on wetlands surrounding the Pearl River Estuary, China
TL;DR: In this article, the authors evaluated the ecological economic characteristics of three fish aquaculture systems on wetlands surrounding the Pearl River Estuary in China and found that the three systems studied had similar emergy characteristics, despite their very different economic characteristics.
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Emergy algebra: Improving matrix methods for calculating transformities
TL;DR: In this article, the authors classified network energy flows into seven types based on commonly occurring combinations of feedbacks, splits, and co-products and developed a method of structuring the network equations for each type using the rules of emergy algebra, which they called "preconditioning" prior to calculating transformities.
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Methods for estimating the uncertainty in emergy table-form models
TL;DR: In this paper, two analytical methods provided by the Guide to the Expression of Uncertainty in Measurement (GUM) to estimate the uncertainty of emergy table-form calculations for two different types of data, and compared them with the stochastic method in two case studies.
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Spatial and temporal patterns of carbon storage from 1992 to 2002 in forest ecosystems in Guangdong, Southern China
TL;DR: In this article, the spatial and temporal patterns of C storage from 1992 to 2002 in forest ecosystems in Guangdong, China were examined and the overall goal of the overall study was examined.
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The maximum empower principle: An invisible hand controlling the self-organizing development of forest plantations in south China
TL;DR: In this article, the authors applied a process-based ecosystem model (Biome-BGC) to simulate the dynamics of biomass, litter and soil organic matter (SOM) of three forest plantations in south China during 1985-2007, and attempted to replicate their self-organizing processes.
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