Student or educator? Sign up with your school email and get 6 months of Pro free.

The DOI matches its Crossref record; its reference list is not available.

Potential of mine land reclamation for soil organic carbon sequestration in Ohio

Akala, V. A., Lal, R.·2000·Land Degradation & Development

Abstract

The impact of different logging techniques on nutrient losses in burnt eucalyptus and pine forests in northern Portugal was investigated. A variety of logging techniques is used in the region resulting in varying amounts of slash debris on the slopes. The efficacy of this litter in reducing soil erosion is well established but less is known about the impact on nutrient losses. Small bounded plots were used to examine the impact of varying amounts of slash debris and pine-needle cover on nutrient losses in overland flow and adsorbed to eroded sediment over 19 months during the first two–three years after fire. Nutrient losses in solution and adsorbed to eroded sediment were substantially higher on burnt terrain due to increased erosion and overland flow generation and high nutrient concentrations at the soil surface in the burned forests. Post-fire logging techniques in eucalyptus forests resulting in large amounts of litter debris on the slopes are effective at reducing eroded sediment nutrient losses but less effective at reducing losses in solution. In pine forests, litter is largely ineffective in reducing solute and sediment nutrient losses. However, a covering of pine needles was shown to be highly effective in reducing eroded sediment nutrient losses and to a lesser extent solute losses. Conservational methods of logging are suggested for both eucalyptus and pine forests in the region. In the absence of such measures, the sustainability of short-rotation eucalyptus forestry is questioned in northern Portugal. Copyright © 2000 John Wiley & Sons, Ltd.

Overview

Integrity signals

Registry

Crossref · 10.1002/1099-145x(200005/06)11:3<289::aid-ldr385>3.0.co;2-y

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

Metadata

Authors
Akala, V. A., & Lal, R.
Venue
Land Degradation & Development
Published
2000

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Potential of mine land reclamation for soil organic carbon sequestration in Ohio. https://app.cochat.ai/papers/10.1002/1099-145x(200005/06)11:3
The paper
Akala, V. A., & Lal, R. (2000). Potential of mine land reclamation for soil organic carbon sequestration in Ohio. Land Degradation & Development. https://doi.org/10.1002/1099-145x(200005/06)11%3A3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.