Terrestrial Ecosystem Modeling with IBIS: Progress and Future Vision
Journal of Resources and Ecology, ISSN: 1674-764X, Vol: 13, Issue: 1, Page: 2-16
2022
- 9Citations
- 24Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
Dynamic Global Vegetation Models (DGVM) are powerful tools for studying complicated ecosystem processes and global changes. This review article synthesizes the developments and applications of the Integrated Biosphere Simulator (IBIS), a DGVM, over the past two decades. IBIS has been used to evaluate carbon, nitrogen, and water cycling in terrestrial ecosystems, vegetation changes, land-atmosphere interactions, land-aquatic system integration, and climate change impacts. Here we summarize model development work since IBIS v2.5, covering hydrology (evapotranspiration, groundwater, lateral routing), vegetation dynamics (plant functional type, land cover change), plant physiology (phenology, photosynthesis, carbon allocation, growth), biogeochemistry (soil carbon and nitrogen processes, greenhouse gas emissions), impacts of natural disturbances (drought, insect damage, fire) and human induced land use changes, and computational improvements. We also summarize IBIS model applications around the world in evaluating ecosystem productivity, carbon and water budgets, water use efficiency, natural disturbance effects, and impacts of climate change and land use change on the carbon cycle. Based on this review, visions of future cross-scale, cross-landscape and cross-system model development and applications are discussed.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85122741305&origin=inward; http://dx.doi.org/10.5814/j.issn.1674-764x.2022.01.001; https://bioone.org/journals/journal-of-resources-and-ecology/volume-13/issue-1/j.issn.1674-764x.2022.01.001/Terrestrial-Ecosystem-Modeling-with-IBIS-Progress-and-Future-Vision/10.5814/j.issn.1674-764x.2022.01.001.full; https://dx.doi.org/10.5814/j.issn.1674-764x.2022.01.001; https://bioone.org/access-suspended
Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences
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