Search Results - (Author, Cooperation:S. Pacala)
-
1W. R. Anderegg ; C. Schwalm ; F. Biondi ; J. J. Camarero ; G. Koch ; M. Litvak ; K. Ogle ; J. D. Shaw ; E. Shevliakova ; A. P. Williams ; A. Wolf ; E. Ziaco ; S. Pacala
American Association for the Advancement of Science (AAAS)
Published 2015Staff ViewPublication Date: 2015-08-01Publisher: American Association for the Advancement of Science (AAAS)Print ISSN: 0036-8075Electronic ISSN: 1095-9203Topics: BiologyChemistry and PharmacologyComputer ScienceMedicineNatural Sciences in GeneralPhysicsKeywords: *Carbon Cycle ; *Climate Change ; *Droughts ; Europe ; *Forests ; Models, Theoretical ; Trees/*growth & development ; United StatesPublished by: -
2Alvarez, R. A., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. R., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., Karion, A., Kort, E. A., Lamb, B. K., Lauvaux, T., Maasakkers, J. D., Marchese, A. J., Omara, M., Pacala, S. W., Peischl, J., Robinson, A. L., Shepson, P. B., Sweeney, C., Townsend-Small, A., Wofsy, S. C., Hamburg, S. P.
American Association for the Advancement of Science (AAAS)
Published 2018Staff ViewPublication Date: 2018-07-13Publisher: American Association for the Advancement of Science (AAAS)Print ISSN: 0036-8075Electronic ISSN: 1095-9203Topics: BiologyChemistry and PharmacologyGeosciencesComputer ScienceMedicineNatural Sciences in GeneralPhysicsKeywords: Geochemistry, GeophysicsPublished by: -
3House, J. I. ; Hibbard, K. A. ; Bousquet, P. ; Ciais, P. ; Peylin, P. ; Braswell, B. H. ; Apps, M. J. ; Baker, D. ; Bondeau, A. ; Canadell, J. ; Churkina, G. ; Cramer, W. ; Denning, A. S. ; Field, C. B. ; Friedlingstein, P. ; Goodale, C. ; Heimann, M. ; Houghton, R. A. ; Melillo, J. M. ; Moore, B. ; Murdiyarso, D. ; Noble, I. ; Pacala, S. W. ; Prentice, I. C. ; Raupach, M. R.
[s.l.] : Macmillian Magazines Ltd.
Published 2001Staff ViewISSN: 1476-4687Source: Nature Archives 1869 - 2009Topics: BiologyChemistry and PharmacologyMedicineNatural Sciences in GeneralPhysicsNotes: [Auszug] Knowledge of carbon exchange between the atmosphere, land and the oceans is important, given that the terrestrial and marine environments are currently absorbing about half of the carbon dioxide that is emitted by fossil-fuel combustion. This carbon uptake is therefore limiting the extent of ...Type of Medium: Electronic ResourceURL: -
4Staff View
ISSN: 1476-4687Source: Nature Archives 1869 - 2009Topics: BiologyChemistry and PharmacologyMedicineNatural Sciences in GeneralPhysicsType of Medium: Electronic ResourceURL: -
5Staff View
ISSN: 1432-1939Keywords: Clonal growth models ; Clonal plants ; Stochastic simulation models ; Rhizomes ; Solidago altissimaSource: Springer Online Journal Archives 1860-2000Topics: BiologyNotes: Summary As clonal plants grow they move through space. The movement patterns that result can be complex and difficult to interpret without the aid of models. We developed a stochastic simulation model of clonal growth in the tall goldenrod, Solidago altissima. Our model was calibrated with field data on the clonal expansion of both seedlings and established clones, and model assumptions were verified by statistical analyses. When simulations were based on empirical distributions with long rhizome lengths, there was greater dispersal, less leaf overlap, and less spatial aggregation than when simulations were based on distributions with comparatively short rhizome lengths. For the field data that we utilized, variation in rhizome lengths had a greater effect than variation for either branching angles or “rhizome initiation points” (see text). We also found that observed patterns of clonal growth in S. altissima did not cause the formation of “fairy rings”. However, simulations with an artificial distribution of branching angles demonstrate that “fairy rings” can result solely from a plant's clonal morphology. Stochastic simulation models that incorporated variation in rhizome lengths, branching angles, and rhizome initiation points produced greater dispersal and less leaf overlap than deterministic models. Thus, variation for clonal growth parameters may increase the efficiency of substrate exploration by increasing the area covered and by decreasing the potential for intraclonal competition. We also demonstrated that ramet displacements were slightly, but consistently lower in stochastic simulation models than in random-walk models. This difference was due to the incorporation of details on rhizome bud initiation into stochastic simulation models, but not random-walk models. We discuss the advantages and disadvantages of deterministic, stochastic simulation, and random-walk models of clonal growth.Type of Medium: Electronic ResourceURL: -
6Dobson, A. P. ; Pacala, S. V. ; Roughgarden, J. D. ; Carper, E. R. ; Harris, E. A.
Springer
Published 1992Staff ViewISSN: 1432-1939Keywords: Anolis ; Lizards ; Parasites ; IslandsSource: Springer Online Journal Archives 1860-2000Topics: BiologyNotes: Summary The helminth communities from ten species of lizard on seven islands in the Caribbean were sampled by collecting one hundred specimens of each species. Nine genera of parasites were identified; these included six nematodes, two digeneans and an acanthocephalan. No relationship was discernible between parasite density or abundance and island area or altitude, although dry islands tend to have fewer species of parasites. Anolis lizards of the bimaculatus and wattsi series share similar parasites with four out of nine species common to both series. The parasite community of lizards on these islands is depauperate with respect to similar surveys on the larger islands of the Greater Antilles. On three of the islands lizards were sub-sampled by collecting from moist woodland and more xeric habitats. These data suggest that differences between habitats are as significant as differences between islands in determining parasite burdens. Worm burdens of the commonest parasite species, T. cubensis, increased monotonically with host body size and no evidence was found to suggest that these parasites affect either host survival or fecundity. The sex-ratio of this species correlated with mean abundance of the parasite, with females the dominant sex on islands or in habitats where the parasite was common. This pattern may reflect haplodiploid sexual determination in this species.Type of Medium: Electronic ResourceURL: -
7Staff View
ISSN: 1432-1939Keywords: Anolis ; Lizards ; Parasites ; IslandsSource: Springer Online Journal Archives 1860-2000Topics: BiologyNotes: Summary The communities of parasitic helminths from ten species of lizards on seven islands in the Caribbean were examined to ascertain the relative importance of predictable deterministic factors and unpredicatable colonization or extinction events in determining the structure of the parasite community. A simple graphical model of community structure is used as a “null model” to describe the features of a community that are dependent only upon the size of the host population and features of the life histories of the constituent parasite species. This model predicts that parasite species will exhibit a nested pattern of local and global relative abundance. The observed data correspond fairly well to this pattern. The absences of individual parasite species from communities where they might be expected to be present emphasizes the role of stochastic colonization and extinction events in delineating the constituent members of the community on any island. Statistical analysis of the distribution of parasite species per host illustrates that this pattern is random in habitats where parasite species diversity is low, but decreasingly variable in habitats where more diverse parasite communities occur. Increased parasite diversity also leads to an increase in the proportion of hosts that contain mixed species infections. Comparisons of worm burdens from single and mixed species infections within individual hosts suggest that interactions between parasite species only rarely leads to reduced worm burdens.Type of Medium: Electronic ResourceURL: -
8Staff View
ISSN: 1432-1416Source: Springer Online Journal Archives 1860-2000Topics: BiologyMathematicsNotes: Abstract. In this paper we derive spatially explicit equations to describe a stochastic invasion process. Parents are assumed to produce a random number of offspring which then disperse according to a spatial redistribution kernel. Equations for population moments, such as expected density and covariance averaged over an ensemble of identical stochastic processes, take the form of deterministic integro-difference equations. These equations describe the spatial spread of population moments as the invasion progresses. We use the second order moments to analyse two basic properties of the invasion. The first property is permanence of form in the correlation structure of the wave. Analysis of the asymptotic form of the invasion wave shows that either (i) the covariance in the leading edge of the wave of invasion asymptotically achieves a permanence of form with a characteristic structure described by an unchanging spatial correlation function, or (ii) the leading edge of the wave has no asymptotic permanence of form with the length scales of spatial correlations continually increasing over time. Which of these two outcomes pertains is governed by a single statistic, φ which depends upon the shape of the dispersal kernel and the net reproductive number. The second property of the invasion is its patchy structure. Patchiness, defined in terms of spatial correlations on separate short (within patch) and long (between patch) spatial scales, is linked to the dispersal kernel. Analysis shows how a leptokurtic dispersal kernel gives rise to patchiness in spread of a population.Type of Medium: Electronic ResourceURL: