Marsh Ecology Research Program (MERP): Conditioning period litter bag study data (1980-1981)
Bibliographic record
Abstract
The Marsh Ecology Research Program (MERP) was a long-term interdisciplinary study on the ecology of prairie wetlands. A scientific team from a variety of disciplines (hydrology, plant ecology, invertebrate ecology, vertebrate ecology, nutrient dynamics, marsh management) was assembled to design and oversee a long-term experiment on the effects of water-level manipulation on northern prairie wetlands. Ten years of fieldwork (1980 -1989), combining a routine long-term monitoring program and a series of short-term studies, generated a wealth of new and diverse information on the ecology and function of prairie wetlands (Murkin, Batt, Caldwell, Kadlec and van der Valk, 2000). This data package includes the litter bag study conducted during the conditioning period of MERP, as part of the decomposition section of the study. The high primary productivity in wetlands ensures that plant litter production and decomposition are important factors in wetland nutrient budgets. There are 3 components of the litter pool in prairie wetlands: standing litter, fallen litter, and dissolved organic compounds that leach from both standing and fallen litter (Davis and van der Valk, 1978). Material enters the standing litter compartment with the death of the leaf or shoots. In prairie marshes, litter is transferred from the standing litter compartment to fallen litter primarily through fragmentation by wind, snow, and ice action. In areas of high muskrat activity, feeding and house building can result in living plant tissues directly entering the fallen litter stage. Once within the fallen litter compartment, decomposition rates increase due to the growth of bacteria, fungi, and other consumers on the litter particles. (Murkin, van der Valk and Nelson, 1989). The MERP decomposition studies are a series of short-term studies examining the decomposition rates of both above- and belowground components of the dominant emergent species and the transfer of litter from the standing to the fallen litter compartment within the experimental cells (Murkin, van der Valk and Nelson, 1989). Three types of decomposition studies were conducted: litterbag studies, dead standing litter (clip plot) studies and matching stems (permanent clips) studies. The objective of the conditioning period litter bag study was to explore the impact of flooding on litter decomposition and the impact of age on the decomposition of litter when flooded. For further information on the Marsh Ecology Research Program (MERP), please visit: http://www.ducks.ca/conserve/research/projects/merp/index.html References: Davis, C.B. and van der Valk. 1978. The decomposition of standing and fallen litter of Typha glauca and Scirpus fluviatilis. Can. J. Bot. 56: 662-675. Murkin, H.R., B.D.J. Batt, P.J. Caldwell, J.A. Kadlec and A.G. van der Valk. 2000a. Introduction to the Marsh Ecology Research Program. In Prairie Wetland Ecology: The Contribution of the Marsh Ecology Research Program. (Eds) H.R. Murkin, A.G. van der Valk and W.R. Clark. pp. 3-15. Ames: Iowa State University Press. Resulting Publications on MERP Decomposition studies: Murkin, H.R., A.G. van der Valk and C.B. Davis. 1989. Decomposition of four dominant macrophytes in the Delta Marsh, Manitoba. Wildl. Soc. Bull. 17: 215-221. van der Valk, A.G., J.M. Rhymer, H.R. Murkin. 1991. Flooding and the decomposition of litter of four emergent plant species in a prairie wetland. Wetlands 11 (1): 1-16. Wrubleski, D.A., H.R. Murkin, A.G. van der Valk and C.B. Davis. 1997. Decomposition of litter of three mudflat annual species in a northern prairie marsh during drawdown. Plant Ecology 129: 141-148. Wrubleski, D.A., H.R. Murkin, A.G. van der Valk and J.W. Nelson. Decomposition of Plant Litter in a Newly Flooded Northern Prairie Marsh. Unpublished manuscript. Wrubleski, D.A., H.R. Murkin, A.G. van der Valk and J.W. Nelson. 1997. Decomposition of emergent macrophyte roots and rhizomes in a northern prairie marsh. Aquatic Botany 58: 121-134. Additional MERP Publications on Decomposition Studies Neckles, H.A. and C. Neill. 1994. Hydrologic control of litter decomposition in seasonally flooded prairie marshes. Hydrobiologia 286: 155-165. Nelson, J.W., J.A. Kadlec and H.R. Murkin. 1990. Seasonal comparisons of weight loss for two types of Typha glauca Godr. leaf litter. Aquatic Botany 37: 299-314. Nelson, J.W., J.A. Kadlec and H.R. Murkin. 1990. Responses by macroinvertebrates to cattail litter quality and timing of litter submergence in a northern prairie marsh. wetlands 10: 47-60.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.010 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.097 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".