The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Terrestrial models and global change: challenges for the future
Abstract
Abstract A wide variety of models have illustrated the potential importance of terrestrial biological feedbacks on climate and climate change; yet our ability to make precise predictions is severely limited, due to a high degree of uncertainty. In this paper, after briefly reviewing current models, we present challenges for new terrestrial models and introduce a simple mechanistic approach that may complement existing approaches.
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Cites
Productivity and sustainability influenced by biodiversity in grassland ecosystems.
Tilman, D., Wedin, D., & Knops, J. (1996) · Nature · doi:10.1038/379718a0 · Cited by 2,803
Declining biodiversity can alter the performance of ecosystems
Naeem, S., Thompson, L. J., Lawler, S. P., Lawton, J. H., & Woodfin, R. M. (1994) · Nature · doi:10.1038/368734a0 · Cited by 1,786
Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988
Skole, D., & Tucker, C. (1993) · Science · doi:10.1126/science.260.5116.1905 · Cited by 1,590
Cited by
Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J., Fischer, G., Fisk, J. P., Hibbard, K., Houghton, R. A., Janetos, A., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0153-2 · Cited by 1,284
Self-citationHarmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., et al. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-5425-2020 · Cited by 1,204
Self-citationDubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., Hofton, M., Hurtt, G., Kellner, J., Luthcke, S., et al. (2020) · Science of Remote Sensing · doi:10.1016/j.srs.2020.100002 · Cited by 1,042
Self-citationVegetation demographics in Earth System Models: A review of progress and priorities
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., et al. (2018) · Global Change Biology · doi:10.1111/gcb.13910 · Cited by 768
Self-citationA METHOD FOR SCALING VEGETATION DYNAMICS: THE ECOSYSTEM DEMOGRAPHY MODEL (ED)
Moorcroft, P. R., Hurtt, G. C., & Pacala, S. W. (2001) · Ecological Monographs · doi:10.1890/0012-9615(2001)071[0557:amfsvd]2.0.co;2 · Cited by 767
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Metadata
- Authors
- HURTT, G. C., MOORCROFT, P. R., PACALA, S. W., & LEVIN, S. A.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 1998-06
- Volume
- 4
- Issue
- 5
- Pages
- 581-590
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2128950511
- Cited by
- 170
- References
- 3
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- HURTT, G. C., MOORCROFT, P. R., PACALA, S. W., & LEVIN, S. A. (1998). Terrestrial models and global change: challenges for the future. Global Change Biology. https://doi.org/10.1046/j.1365-2486.1998.00203.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.