scholarly journals Yield performance of dedicated industrial crops on low‐temperature characterized marginal agricultural land in Europe – a review

2021 ◽  
Author(s):  
Jana Reinhardt ◽  
Pia Hilgert ◽  
Moritz Von Cossel
Keyword(s):  
Low Temperature ◽  
Agricultural Land ◽  
Yield Performance ◽  
Marginal Agricultural Land

scholarly journals A Review of Industrial Crop Yield Performances on Unfavorable Soil Types

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2382
Author(s):  
Jana Reinhardt ◽  
Pia Hilgert ◽  
Moritz Von Cossel
Keyword(s):  
Agricultural Land ◽  
Field Trials ◽  
Yield Potential ◽  
Soil Types ◽  
Potential Yield ◽  
Indirect Land Use Change ◽  
Industrial Crop ◽  
Large Yield ◽  
Marginal Agricultural Land ◽  
The Impact

Industrial crop cultivation on marginal agricultural land limits indirect land-use change effects that pose a threat to food security. This review compiles results from 91 published crop-specific field trial datasets spanning 12 relevant industrial crops and discusses their suitability for cultivation on unfavorable soil types (USTs). It was shown that the perennial species Miscanthus (Miscanthus Andersson) and reed canary grass (Phalaris arundinacea L.) performed well on USTs with both high clay and/or high sand contents. Information on stoniness (particles sizes > 2 mm), where mentioned, was limited. It was found to have only a small impact on biological yield potential, though it was not possible to assess the impact on mechanization as would be used at a commercial scale. For soils with extreme clay or sand contents, half of the crops showed moderate suitability. The large yield variations within and between crops revealed large knowledge gaps in the combined effects of crop type and agronomy on USTs. Therefore, more field trials are needed on diverse USTs in different climates with better equipment and more consistent measurements to improve the accuracy of potential yield predictions spatially and temporally. Additionally, larger trials are needed to optimize cultivation and harvesting.

scholarly journals Mapping of Sub-Optimal Land Based on NDVI Sentinel 2a Value: Preliminary Study

2020 ◽  
Vol 17 (3) ◽  
pp. 194-204
Author(s):  
Indarto Indarto ◽  
Rufiani Nadzirah ◽  
Hadrian Reksa Belagama
Keyword(s):  
Vegetation Index ◽  
Agricultural Land ◽  
Vegetation Indices ◽  
Vegetation Density ◽  
Residential Areas ◽  
Primary Input ◽  
Normalised Difference Vegetation Index ◽  
Sentinel 2A ◽  
Marginal Agricultural Land ◽  
Potential Use

Normalised Difference Vegetation Index (NDVI) is one of the vegetation indices used to analyse vegetation density. This study presents the potential use of NDVI to map dry-marginal-agricultural land (Dry-MAL). The study conducted in the eastern part of Situbondo, which includes three districts, namely, Arjasa, Asembagus and Jangkar. Sentinel-2A (recorded in 2018) and 450 Control points (GCPs) are used as the primary input. The region is an area with distinctive climate characteristics, where the dry season is longer than the rainy season. Analysis using "SNAP plug-ins" and "QGIS". Research procedures include (1) data inventory, (2) data pre-processing, (3) data processing and (4) accuracy testing. The NDVI classification can distinguish six (6) classes of land-use, i.e., water bodies, residential areas, dry MAL, non-irrigated rural area, irrigated paddy fields, forest-plantations. The NDVI classification produces Overall and Kappa accuracy values =  66,9% and 61,6%. Although the overall and kappa accuracy is below the standard, however, the result will benefit for further research of index vegetation or soil more applied for the identification of Dry-MAL

Disasters and Development: Part 2: Understanding and Exploiting Disaster-Development Linkages

2002 ◽  
Vol 17 (3) ◽  
pp. 170-175 ◽  
Author(s):  
Rob S. Stephenson ◽  
Charles DuFrane
Keyword(s):  
Agricultural Development ◽  
Agricultural Land ◽  
Program Planning ◽  
Development Project ◽  
Mitigation Measures ◽  
Formal Sector ◽  
Wide Range ◽  
Negative Impacts ◽  
Marginal Agricultural Land ◽  
Development Resource

AbstractDisasters can impede the effectiveness of development resource allocation. The damage sustained from an event can be classified into four categories: (1) Loss of resources; (2) Interruption of programs and switching of crucial resources to other, shorter-term needs; (3) Negative impacts upon investment climates; and/or (4) Disruption of the non-formal sector (local businesses). Disasters have a particularly destructive economic impact in areas in which there are few alternatives for assets that are destroyed or in areas in which the resources already are at critical levels. Development processes can both increase and/or decrease the vulnerability of a society to hazards. There are clearly established linkages between poverty, marginalization, over-population, and vulnerability. To a large extent, vulnerability derives from poverty. The poor are more likely to live in vulnerable areas (slopes prone to landslides, flood plains, marginal agricultural land), have difficulty accessing education and information, have fewer assets to invest in resources to reduce vulnerability, and are more prone to become malnourished and have chronic illnesses that predispose them to injury and death. Development may be associated with the production of new hazards accepted by a society because the perceived benefits of the development project far exceed the relative risk associated with the project. Therefore, risk assessments must be part of any program planning and evaluation. Training and education are of critical importance in preventing increased vulnerability as a result of development strategies.Development also can progress in a manner that will result in mitigation of the impacts of an event on a given society (increase absorbing capacity and/or buffering capacity, elimination of hazards or the risk of them producing a disaster). Such mitigation measures can be either structural or non-structural. There exists a wide range of options for incorporating mitigation measures in development projects.Two case studies provide exercises that incorporate the concepts provided in this discussion: (1) The 1985 earthquake in Mexico City; and (2) Agricultural development in northern Sudan.

Economics of fossil fuel substitution and wood product sinks when trees are planted to sequester carbon on agricultural lands in western Canada

1999 ◽  
Vol 29 (11) ◽  
pp. 1669-1678 ◽  
Author(s):  
G Cornelis van Kooten ◽  
Emina Krcmar-Nozic ◽  
Brad Stennes ◽  
Ruud van Gorkom
Keyword(s):  
Energy Production ◽  
Fossil Fuel ◽  
Agricultural Land ◽  
Wood Products ◽  
Wood Product ◽  
Carbon Uptake ◽  
Western Canada ◽  
Plantation Forest ◽  
Fuel Substitution ◽  
Marginal Agricultural Land

To meet its international commitment to reduce CO2 output by 7% from the 1990 level by 2012, Canada will rely to some extent on terrestrial carbon uptake, particularly afforestation of marginal agricultural land. The economics of afforestation is examined for northeastern British Columbia and all of Alberta, with harvested wood used either as a replacement for coal in energy production or as a wood-product sink. Some 7 × 106 ha of marginal agricultural land are identified, but very little could reasonably be afforested if wood is used as a substitute for coal. If C is stored in wood products, nearly one third of the land might reasonably be planted to trees; if similar results hold for the rest of Canada, afforestation can be included in the policy arsenal. Before that can be done, however, some serious issues need to be resolved, including problems associated with the mechanism used to transfer land out of agriculture into plantation forest.

Land-use legacies affect Norway spruce Picea abies colonization on abandoned marginal agricultural land in Eastern Baltics

New Forests ◽  
2020 ◽  
Author(s):  
Solvita Rūsiņa ◽  
Dana Prižavoite ◽  
Oļģerts Nikodemus ◽  
Guntis Brūmelis ◽  
Lauma Gustiņa ◽  
...  
Keyword(s):  
Land Use ◽  
Picea Abies ◽  
Norway Spruce ◽  
Agricultural Land ◽  
Land Use Legacies ◽  
Marginal Agricultural Land
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