Vegetation demographics in Earth System Models : A review of progress and priorities
(2018) In Global Change Biology 24(1). p.35-54- Abstract
Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow... (More)
Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow models to be applied to new processes and questions concerning the dynamics of real-world ecosystems. We argue that stronger and more innovative connections to data, across the range of scales considered, are required to address these gaps in understanding. The development of first-generation land surface models as a unifying framework for ecophysiological understanding stimulated much research into plant physiological traits and gas exchange. Constraining predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter-disciplinary communication.
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- author
- organization
- publishing date
- 2018-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- carbon cycle, demographics, dynamic global vegetation models, Earth System Model, ecosystem, vegetation
- in
- Global Change Biology
- volume
- 24
- issue
- 1
- pages
- 20 pages
- publisher
- Wiley-Blackwell
- external identifiers
-
- pmid:28921829
- scopus:85039738868
- ISSN
- 1354-1013
- DOI
- 10.1111/gcb.13910
- language
- English
- LU publication?
- yes
- additional info
- javascript:void(0);
- id
- 362b030e-91d2-4d97-9dc9-fdb79eccecf3
- date added to LUP
- 2018-01-09 12:37:35
- date last changed
- 2024-04-15 02:09:17
@article{362b030e-91d2-4d97-9dc9-fdb79eccecf3,
abstract = {{<p>Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow models to be applied to new processes and questions concerning the dynamics of real-world ecosystems. We argue that stronger and more innovative connections to data, across the range of scales considered, are required to address these gaps in understanding. The development of first-generation land surface models as a unifying framework for ecophysiological understanding stimulated much research into plant physiological traits and gas exchange. Constraining predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter-disciplinary communication.</p>}},
author = {{Fisher, Rosie A. and Koven, Charles D. and Anderegg, William R.L. and Christoffersen, Bradley O. and Dietze, Michael C. and Farrior, Caroline E. and Holm, Jennifer A. and Hurtt, George C. and Knox, Ryan G. and Lawrence, Peter J. and Lichstein, Jeremy W. and Longo, Marcos and Matheny, Ashley M. and Medvigy, David and Muller-Landau, Helene C. and Powell, Thomas L. and Serbin, Shawn P. and Sato, Hisashi and Shuman, Jacquelyn K. and Smith, Benjamin and Trugman, Anna T. and Viskari, Toni and Verbeeck, Hans and Weng, Ensheng and Xu, Chonggang and Xu, Xiangtao and Zhang, Tao and Moorcroft, Paul R.}},
issn = {{1354-1013}},
keywords = {{carbon cycle; demographics; dynamic global vegetation models; Earth System Model; ecosystem; vegetation}},
language = {{eng}},
month = {{01}},
number = {{1}},
pages = {{35--54}},
publisher = {{Wiley-Blackwell}},
series = {{Global Change Biology}},
title = {{Vegetation demographics in Earth System Models : A review of progress and priorities}},
url = {{http://dx.doi.org/10.1111/gcb.13910}},
doi = {{10.1111/gcb.13910}},
volume = {{24}},
year = {{2018}},
}