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Paul R. Moorcroft
Researcher at Harvard University
Publications - 106
Citations - 9489
Paul R. Moorcroft is an academic researcher from Harvard University. The author has contributed to research in topics: Climate change & Ecosystem. The author has an hindex of 44, co-authored 99 publications receiving 8019 citations. Previous affiliations of Paul R. Moorcroft include University of Maryland, College Park.
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Journal ArticleDOI
Consistent land- and atmosphere-based U.S. carbon sink estimates.
Stephen W. Pacala,George C. Hurtt,David J. Baker,Philippe Peylin,Richard A. Houghton,Richard Birdsey,Linda S. Heath,Eric T. Sundquist,Robert F. Stallard,Philippe Ciais,Paul R. Moorcroft,John P. Caspersen,Elena Shevliakova,Berrien Moore,G. H. Kohlmaier,Elisabeth A. Holland,Manuel Gloor,Mark E. Harmon,Song-Miao Fan,Jorge L. Sarmiento,Christine L. Goodale,David S. Schimel,Christopher B. Field +22 more
TL;DR: Land- and atmosphere-based estimates of the carbon sink in the coterminous United States for 1980–89 are consistent, within the large ranges of uncertainty for both methods, indicating a relatively stable U.S. sink throughout the period.
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The home-range concept: are traditional estimators still relevant with modern telemetry technology?
John G. Kie,Jason Matthiopoulos,John R Fieberg,Roger A. Powell,Francesca Cagnacci,Michael S. Mitchell,Jean-Michel Gaillard,Paul R. Moorcroft +7 more
TL;DR: This work has shown that mechanistic home-range models, derived from models of animal movement behaviour, promise to offer new insights into how home ranges emerge as the result of specific patterns of movements by individuals in response to their environment.
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Building the bridge between animal movement and population dynamics
Juan M. Morales,Paul R. Moorcroft,Jason Matthiopoulos,Jacqueline L. Frair,John G. Kie,Roger A. Powell,Evelyn H. Merrill,Daniel T. Haydon +7 more
TL;DR: The way animals move has important consequences for the degree of mixing that the authors expect to find both within a population and between individuals of different species, and as most animals revisit some places and avoid others based on their previous experiences, they foresee the incorporation of long-term memory and intention in movement models.
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Vegetation demographics in Earth System Models: A review of progress and priorities.
Rosie A. Fisher,Charles D. Koven,William R. L. Anderegg,Bradley O. Christoffersen,Michael Dietze,Caroline E. Farrior,Jennifer A. Holm,George C. Hurtt,Ryan G. Knox,Peter Lawrence,Jeremy W. Lichstein,Marcos Longo,Ashley M. Matheny,David Medvigy,Helene C. Muller-Landau,Thomas L. Powell,Shawn P. Serbin,Hisashi Sato,Jacquelyn K. Shuman,Benjamin Smith,Anna T. Trugman,Toni Viskari,Hans Verbeeck,Ensheng Weng,Chonggang Xu,Xiangtao Xu,Tao Zhang,Paul R. Moorcroft +27 more
TL;DR: It is argued that stronger and more innovative connections to data are required to address gaps in understanding, and that constrained predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter-disciplinary communication.
Journal ArticleDOI
Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2
TL;DR: In this article, a constrained implementation of a new structured TBM, the Ecosystem Demography model version 2 (ED2), which explicitly tracks the dynamics of fine-scale ecosystem structure and function is presented.