Terrestrial ecosystem modeling with IBIS: Progress and future vision
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Abstract
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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Terrestrial ecosystem modeling with IBIS: Progress and future vision |
| Series title | Journal of Resources and Ecology |
| DOI | 10.5814/j.issn.1674-764x.2022.01.001 |
| Volume | 13 |
| Issue | 1 |
| Year Published | 2022 |
| Language | English |
| Publisher | Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center, Western Geographic Science Center |
| Description | 15 p. |
| First page | 2 |
| Last page | 16 |
| Google Analytic Metrics | Metrics page |