Biogeochemical properties of fine particulate organic matter as an indicator of local and catchment impacts on forested streams
Bibliographic record
Abstract
Summary 1. The magnitude and spatial scales of human effects on stream habitats need to be correctly measured to achieve sound ecosystem management. We investigated whether the biogeochemical properties of fine particulate organic matter (FPOM) might be indicative of reach‐scale vs. catchment‐scale effects on forested stream ecosystems. 2. Along each of three forested streams, we established 4–5 sampling stations at 0·6–2·0‐km intervals, which represent a range of local riparian forest conditions (e.g. vegetation types and forestry practices). At each station, rock biofilm (considered as a representative of stream‐origin POM), FPOM in sediment (FPOM S ) and suspended in water (FPOM W ) and three species of benthic macroinvertebrates were collected during a summer low‐flow period. 3. Measures of δ 13 C, C:N and chlorophyll a :C for FPOM W , FPOM S and biofilm were longitudinally heterogeneous, reflecting the reach‐scale, local environment. δ 13 C, C:N and chlorophyll a :C of FPOM S were significantly related to irradiance and streambed coarse particulate organic matter (CPOM) abundance, suggesting that the relative contribution of in‐stream primary production and CPOM breakdown are dominant controls of FPOM properties. 4. In redundancy analysis, variations in FPOM properties were principally explained by local environmental factors correlated with stream size and/or longitudinal position of the sampling stations (irradiance, streambed CPOM, stream gradient, discharge, riparian vegetation). No significant effect of riparian forestry activities (logged, riparian reserve or no harvest in the past 75 years) was found on FPOM properties. 5. Resource use by primary consumers was species dependent. δ 13 C of larval Lepidostoma roafi depended on the relative abundance of stream‐origin POM in pools of stored FPOM. Selective intake/assimilation of stream‐origin POM by this species was probably enhanced when stream‐origin POM was abundant. δ 13 C of larval Despaxia augusta or larval Paraleptophlebia spp. were not related to FPOM S δ 13 C, suggesting no linkage with FPOM composition. 6. Synthesis and applications . The tight linkages between biogeochemical properties of FPOM, resource use by primary consumers, and reach‐scale environment indicate that local effects were greater than signals transmitted from upstream in this study. The use of in‐stream FPOM properties can help managers to measure reach‐scale effects of environmental changes on forested stream habitats.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; a candidate call from one teacher head, not a consensus.
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".