scholarly journals Land Management Effects on Carbon Sequestration and Soil Properties in Reclaimed Farmland of Eastern Ohio, USA

2013 ◽  
Vol 03 (01) ◽  
pp. 46-57 ◽  
Author(s):  
David A. N. Ussiri ◽  
Rattan Lal
Keyword(s):  
Carbon Sequestration ◽  
Soil Properties ◽  
Land Management ◽  
Management Effects

Land Management Effects on Near-Surface Soil Properties of Southeastern U.S. Coastal Plain Kandiudults

2010 ◽  
Vol 74 (1) ◽  
pp. 258-271 ◽  
Author(s):  
M.R. Levi ◽  
J.N. Shaw ◽  
C.W. Wood ◽  
S.M. Hermann ◽  
E.A. Carter ◽  
...  
Keyword(s):  
Soil Properties ◽  
Land Management ◽  
Coastal Plain ◽  
Surface Soil ◽  
Near Surface ◽  
Surface Soil Properties ◽  
Management Effects

scholarly journals Rainfall and land management effects on erosion and soil properties in traditional Brazilian tobacco plantations

2018 ◽  
Vol 63 (7) ◽  
pp. 1008-1019 ◽  
Author(s):  
Valdemir Antoneli ◽  
Hélio H. Lenatorvicz ◽  
João A. Bednarz ◽  
Manuel Pulido-Fernández ◽  
Eric C. Brevik ◽  
...  
Keyword(s):  
Soil Properties ◽  
Land Management ◽  
Management Effects

scholarly journals The effect of land management on carbon sequestration in salty rangelands of Golestan province, Iran

2021 ◽  
Author(s):  
Ghasem Ali Dianati Tilaki ◽  
Raziee Rahmani ◽  
Seyed Ali Hoseini ◽  
Ivan Vasenev
Keyword(s):  
Carbon Sequestration ◽  
Land Management ◽  
Golestan Province

scholarly journals Land Management Impacts on Soil Water Erosion and Loss of Nutrients

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 35 ◽  
Author(s):  
Telak ◽  
Bogunovic ◽  
Rodrigo-Comino
Keyword(s):  
Organic Matter ◽  
Soil Properties ◽  
Land Management ◽  
Sediment Yield ◽  
Management Practices ◽  
Overland Flow ◽  
Organic Matter Content ◽  
Nutrient Loss ◽  
Plant Residues ◽  
Significant Difference

Humans are the driving factor of soil erosion and degradation. Therefore, sustainable land management practices should be developed and applied. The aim of this study was to determine land management impacts on soil properties, soil loss and nutrient loss in 3 different treatments; grass-covered vineyard (GCV), tilled vineyard (TV), and tilled hazelnut orchard (HO). The study area is located in Orahovica, Croatia (45°31′ N, 17°51′ E; elevation 230 m) on ~7° slope. The soil under the study area was classified as a Stagnosol. 8 rainfall simulations (58 mm h−1, during 30 min, over 0.785 m2 plots) were performed at each treatment where the next data were noted: ponding time, runoff time, and collection of overland flow. Soil samples were taken for determination of mean weight diameter (MWD), water stable aggregates (WSA), P2O5 content, and organic matter content. Analyses of sediment revealed concentrations of P2O5 and N. All three treatments had significantly different values of MWD (GCV 3.30 mm; TV 2.94 mm; HO 2.16 mm), while WSA and organic matter significantly differs between GCV and HO. The infiltration rate showed no significant difference between treatments. Sediment yield was significantly the highest at the TV (21.01 g kg−1 runoff), while no significant difference was noted between GCV (2.91) and HO (6.59). Sediments of GCV treatment showed higher concentrations of P2O5 and N, compared to TV and HO. Nutrients loss was highest in the TV (450.3 g P2O5 ha−1; 1891.7 g N ha−1) as a result of highest sediment yield, despite the fact GCV had the highest nutrients concentrations. Results indicate that land management (and/or tillage) affects soil properties and their stability. Even tough HO was tilled and had the lowest values of organic matter, WSA, and MWD, measurements were performed immediately after tillage where the plant residues reduced potential erodibility of the soil. Such results reveal that tillage should be avoided in vineyard and hazelnut production in order to prevent soil and nutrient losses.

Modeling land management effects on the size distribution of eroded sediment

2019 ◽  
Vol 192 ◽  
pp. 121-133 ◽  
Author(s):  
Gang Liu ◽  
Seth M. Dabney ◽  
Daniel C. Yoder ◽  
Robert R. Wells ◽  
Dalmo A.N. Vieira
Keyword(s):  
Size Distribution ◽  
Land Management ◽  
Management Effects

Using a data-driven network to understand the drivers of soil organic carbon dynamics across the tropic

2020 ◽  
Author(s):  
Leigh Winowiecki ◽  
Tor-Gunnar Vågen
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Land Cover ◽  
Soil Properties ◽  
Carbon Content ◽  
Land Management ◽  
Land Degradation ◽  
Soil Health ◽  
Carbon Dynamics ◽  
Soil Organic Carbon Dynamics

<p>Maintaining soil organic carbon (SOC) content is recognized as an important strategy for a well-functioning soil ecosystem. The UN Convention to Combat Desertification (UNCCD) recognizes that reduced SOC content can lead to land degradation, and ultimately low land and agricultural productivity. SOC is almost universally proposed as the most important indicator of soil health, not only because SOC positively influences multiple soil properties that affect productivity, including cation exchange capacity and water holding capacity, but also because SOC content reflects aboveground activities, including especially agricultural land management. To be useful as an indicator, it is crucial to assess the importance of both inherent soil properties as well as external factors (climate, vegetation cover, land management, etc.) on SOC dynamics across space and time. This requires large, reliable and up-to-date soil health data sets across diverse land cover classes. The Land Degradation Surveillance Framework (LDSF), a well-established method for assessing multiple biophysical indicators at georeferenced locations, was employed in nine countries across the tropics (Burkina Faso, Cameron, Honduras, India, Indonesia, Kenya, Nicaragua, Peru, and South Africa) to assess the influence of land use, tree cover and inherent soil properties on soil organic carbon dynamics. The LDSF was designed to provide a biophysical baseline at landscape level, and monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures over time. Each LDSF site has 160 – 1000 m<sup>2</sup> plots that were randomly stratified among 16 - 1 km<sup>2</sup> sampling clusters. A total of 6918 soil samples were collected (3478 topsoil (0-20 cm) and 3435 subsoil (20-50 cm)) within this study. All samples were analyzed using mid-infrared spectroscopy and 10% of the samples were analyzed using traditional wet chemistry to develop calibration prediction models.  Validation results for soil properties (soil organic carbon (SOC), sand, and total nitrogen) showed good accuracy with R<sup>2</sup> values ranging between 0.88 and 0.96. Mean organic carbon content was 21.9 g kg<sup>-1</sup> in topsoil and 15.2 g kg<sup>-1</sup> in subsoil (median was 18.3 g kg<sup>-1</sup>  for topsoil and 10.8 g kg<sup>-1</sup> in subsoil). Forest and grassland had the highest and similar carbon content while bushland/shrubland had the lowest. Sand content played an important role in determining the SOC content across the land cover types. Further analysis will be conducted and shared on the role of trees, land cover and texture on the dynamics of soil organic carbon and the implications for LDN reporting, land restoration initiatives as well as sustainable land management recommendations.</p>

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