177,329 research outputs found
[Portrait of Albert Namatjira with Axel Poignant and Rex Battarbee, 1946] [picture].
Title devised by cataloguer based on inscription.; Condition: Good.; Inscription: 'L-R Albert Namatjira, Axel Poignant, Rex Battarbee about 1947'--Handwritten in pencil on reverse. 'Australian official photograph. Dept of Information'--Stamped on reverse
Human-environment interactions: towards synthesis and simulation
Leaders of the PAGES Focus 5 programme ‘Past Ecosystem Processes and Human–Environment Interactions’ identify key issues for research on human–environment interactions for wider discussion. These include the need for long-term perspectives, the opportunities for maximising palaeoenvironmental research, the need for integration and regionalisation and the challenge of developing dynamic simulation models. A new organisational matrix for regional studies is outlined, based on a series of zonal/azonal regions and on the degree of human impact. Future priorities for palaeoenvironmental research include new studies in degraded human-dominated landscapes, highly-valued ecosystems and sites relevant to other IGBP Core Projects. Simulation of future human–environment interactions using modelling approaches that have been tested against long records lags behind global climate modelling, but cellular approaches for biogeophysical and multi-agent systems show promise
Human–environment interactions: learning from the past
The analysis of palaeoenvironmental archives—sediments, archaeological remains, tree-rings, documents and instrumental records—is presented as a key element in the global scientific endeavour aimed at understanding human–environment interactions at the present day and in the future. The paper explains the need for the focus on palaeoenvironmental studies as a means of ‘learning from the past’, and presents the rationale and structure of the IGBP-PAGES Focus 5 programme ‘Past Ecosystem Processes and Human–Environment Interactions’. The past, as described through palaeoenvironmental studies, can yield information about pre-impact states, trajectories of recent change, causation, complex system behaviour, and provide the basis for developing and testing simulation models. Learning from the past in each of these epistemological categories is exemplified with published case-studies
Influence of environmental and spatial variables on the distribution of surface sediment diatoms in an upland loch, Scotland
The spatial distribution of surface sediment diatoms was analyzed using ArcGIS in the Round Loch of Glenhead, an acid upland lake in south-west Scotland. The assemblages were composed almost entirely of benthic species. Tabellaria quadriseptata was fairly evenly distributed across the loch but some species (Navicula madumensis, Brachysira brebissonii, Aulacoseira perglabra and Eunotia vanheurckii var 1) showed rather patchy distributions. Ordination analysis was performed to assess the influence of environmental and spatial variables on the diatom composition of the samples. Loss of ignition was significantly negatively correlated with redundancy analysis species axis 1 (r = –0.77), indicating the influence of substrate on the diatom assemblages. The positive relationship between theoretical bottom shear stress resulting from wind stress and redundancy analysis (r = 0.31) suggests wind stress also influences the spatial distribution of diatoms within the loch. Spatial variables [(principal coordinates of neighbour matrices (PCNM 1 and PCNM3) positively correlated with redundancy analysis axis 2], indicated that spatial variables, ignored in former studies, are a further influence on diatom distribution. Unique environmental and spatial variables explained 27.3% and 8.6% of diatom variability respectively. Environmental and spatial interactive variables combined explained 4.8% of variation. Although the pure contribution of spatial variables was only 8.6%, the study highlighted the importance of differences in the spatial distribution of different benthic diatom species in this upland lake
LIMPACS - human and climate interactions with lake ecosystems: setting research priorities in the study of the impact of salinisation and climate change on lakes, 2005-2010
Is part of a special issue with the theme: Resilience and Restoration of Soft-Bottom Near-Shore Ecosystems; Salt Lakes: Salinity, Climate Change and Salinisation © Springer The original publication can be found at www.springerlink.comPeter Gell, Sheri Fritz, Rick Battarbee, John Tibb
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Palaeoenvironmental changes in the Mediterranean region 250-10 kyr BP: a critical review of the evidence
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Diatom counts from sediment core HZM19, Holzmaar (West-Eifel Volcanic Field, Germany)
Diatom analyses were done following (Battarbee, 1986; Battarbee et al., 2002; doi:10.2478/s11756-019-00407-8). Including an updated list of names. The sediment core HZM19 was collected in 2019, from Holzmaar, West-Eifel Volcanic Field in Germany using a UWITEC Piston Corer. The sediment core was collected to reconstruct environmental and climate changes of Holzmaar for the last 16,000 years cal BP. Particularly in this data set we cover between 2450-2950 cal BP. An aliquot of each freeze-dried sample was processed with standard procedures (Battarbee, 1986; Battarbee et al., 2002). Only species with >=5% relative abundance in at least two samples were used for further analyses. Species acronyms are listed seperately
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