scholarly journals Germany’s Agricultural Land Footprint and the Impact of Import Pattern Allocation

2021 ◽  
Author(s):  
Klaus Josef Hennenberg ◽  
Swantje Gebhardt ◽  
Florian Wimmer ◽  
Martin Distelkamp ◽  
Christian Lutz ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Methodological Approach ◽  
Hybrid Approach ◽  
Ecosystem Functions ◽  
Land Conversion ◽  
Environmental Goods ◽  
Global Average ◽  
The Impact

Footprints are powerful indicators for evaluating the impact of the bioeconomy of a country on environmental goods, domestically and abroad. In this study, we apply a hybrid approach combining a Multi-Regional Input-Output model and land use modelling to compute the agricultural land footprint (aLF). Furthermore, we added information on land-use change to the analysis and allocated land conversion to specific commodities. The German case study shows that the aLF abroad is larger by a factor of 2.5 to 3 than the aLF in Germany. In 2005 and 2010, conversion of natural and semi-natural land-cover types abroad allocated to Germany due to import increases was 2.5 times higher than the global average. Import increases to Germany slowed down in 2015 and 2020, reducing land conversion attributed to the German bioeconomy to the global average. The case study shows that the applied land footprint provides clear and meaningful information for policymakers and other stakeholders. The presented methodological approach can be applied to other countries and regions covered in the underlying database EXIOBASE. It can be adapted, also for an assessment of other ecosystem functions, such as water or soil fertility.

scholarly journals Germany’s Agricultural Land Footprint and the Impact of Import Pattern Allocation

2021 ◽  
Vol 14 (1) ◽  
pp. 105
Author(s):  
Klaus Josef Hennenberg ◽  
Swantje Gebhardt ◽  
Florian Wimmer ◽  
Martin Distelkamp ◽  
Christian Lutz ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Temporal Dynamics ◽  
Hybrid Approach ◽  
Land Conversion ◽  
Environmental Goods ◽  
Conversion Rates ◽  
Land Use Modelling ◽  
The Impact

Footprints are powerful indicators for evaluating the impacts of a country’s bioeconomy on environmental goods, both domestic and abroad. We apply a hybrid approach combining a multi-regional input-output model and land use modelling to compute the agricultural land footprint (aLF). Furthermore, we added information on land-use change to the analysis and allocated land conversion to specific commodities. Using Germany as a case study, we show that the aLF abroad is 2.5 to 3 times larger compared to impacts within the country. When allocating land conversion of natural and semi-natural land-cover types in 2005 and 2010 to import increases by Germany, conversion rates were found to be 2.5 times higher than for the global average. Import increases to Germany slowed down in 2015 and 2020, reducing land conversion attributed to the German bioeconomy as well. Our results indicate that looking at a static import pattern is not sufficient to draw a realistic picture of the land footprint of a country. For a more detailed assessment that also considers temporal dynamics and impacts of biomass use and trade, our newly developed set of indicators also captures changes of import patterns over time. The case study shows that our enhanced land footprint provides clear and meaningful information for policymakers and other stakeholders.

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.

scholarly journals Determination of environmental problems of agricultural nature management based on modular geochemical indicators

2020 ◽  
Vol 28 (1) ◽  
pp. 57-64
Author(s):  
Almobarak Falak ◽  
Lidia A. Mezhova
Keyword(s):  
Land Use ◽  
Natural Resources ◽  
Soil Quality ◽  
Agricultural Land ◽  
Methodological Approach ◽  
Arable Land ◽  
Animal Husbandry ◽  
Environmental Problems ◽  
Nature Management ◽  
The Impact

Central Chernozem is one of the largest agricultural regions in Russia. As a result of the long period of natural resources use the anthropogenic load on agricultural lands is increasing. The result of agricultural nature management is the increase of land degradation processes. Voronezh Region has a high agro-climatic potential, most of the territory is occupied by agricultural land, arable land prevails among them. Soil degradation is the most acute problem. There is a need to assess the impact of agricultural natural resources use on land resources of the region. Modular coefficients for assessment of geochemical impact of agriculture and animal husbandry on agricultural systems are proposed. The developed factor is a tool for identification of negative land use processes and environmental problems. The article deals with the issues of ecologically oriented, scientifically grounded strategy of agricultural nature management. Ecological approach to assessment of soil quality in the future will develop a strategy for balanced land use. The article has a scientific and practical character and is aimed at the development of methods of ecological assessment of soil quality. The proposed methodological approach identifies destructive processes in soils. For ecologically oriented strategy of development of regions it is important to define maximum allowable agricultural loads for preservation of sustainable environment.

scholarly journals Agricultural Land Conversion in the Sub-Urban Area: A Case Study of Rajshahi Metropolitan City

2014 ◽  
Vol 8 ◽  
pp. 21-30 ◽  
Author(s):  
Md Abdul Halim ◽  
Md Mizanoor Rahman ◽  
Md Zahidul Hassan
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Research Work ◽  
Secondary Data ◽  
Land Conversion ◽  
Land Use Pattern ◽  
Arc Gis ◽  
Gis Software

Bangladesh is a land scarce country where per capita cultivated land is only 12.5 decimals. It is claimed that every year about one percent of farm land in the country is being converted to non-agricultural uses. The study is based mainly on field survey covering 2 villages (Narikel Baria and Baze Silinda) from 10 sub-urban villages around Rajshahi City Corporation under Paba Upazila of Rajshahi district. The study area was selected purposively and the respondents of this research work were selected randomly. The major focus was on to mention the general land use pattern of the area, estimates the agricultural land conversion besides determining the causes and consequences affecting such conversion. Both Narikel Baria and Baze Silinda villages were selected as study area because of its relatively higher growth in infrastructure. In order to fulfill the goal of this study, primary and secondary data were collected from various sources and to analyze and process of collected data the SPSS, Excel and Arc GIS software were used. Different types of descriptive statistics were applied for representing the analyzed data. It is observed that the land conversion form agriculture to non-agriculture allied in recent time is more than the previous time due to gradually increasing land demand in housing and relevant services which invites adverse impact on agricultural land as well as its dependent population. So, it is necessary to take integrated land-use planning to offer better options for the fulfillment of land demand both of housing and agricultural sectors. DOI: http://dx.doi.org/10.3329/jles.v8i0.20136 J. Life Earth Sci., Vol. 8: 21-30, 2013

scholarly journals Sustainable Agricultural Land Management in Garut Regency, West Java Province, Indonesia

2021 ◽  
Author(s):  
Lia Warlina ◽  
◽  
Syach Berriant Restu Pradana ◽  
Keyword(s):  
Land Use ◽  
Land Management ◽  
Rice Field ◽  
Agricultural Land ◽  
Land Conversion ◽  
Online Questionnaire ◽  
The Government ◽  
Agricultural Land Management ◽  
The Impact ◽  
Field Area

The high land conversion rate to other sectors has led the government to issue Law No. 41 in 2009 concerning Protection of Sustainable Agricultural Land (SAL). The study aims to identify the distribution of sustainable agricultural land uses and determine agricultural land-use changes from 2016 to 2019 and determine farmers' understanding of sustainable agricultural land control in the strategic area of Garut Regency. We overlaid the land use maps of Garut Regency in 2016 and 2019 and conducted a survey using an online questionnaire with a Google form. The research location is in five districts in Garut Regency. The results showed no land conversion in the area of existing sustainable agricultural land in Garut Regency. The total rice field area is 6,081 hectares, with about 24% is sustainable agricultural land. From 2016 to 2019, the rice field area decreased by 12 hectares. The farmers' awareness of SAL tends to be more likely aware of the sustainable agricultural land area, as many as 39% of farmers aware of sustainable agricultural land. The incentives given to farmers who control sustainable agricultural land are tax deduction, agricultural infrastructure supply, agricultural production facilities subsidies, and land certification facilities. The majority of the respondents are aware of these incentives. In conclusion, no sustainable agricultural land is converted, even though changes occur in non-sustainable agricultural land. The impact of this study is for recommendations to the government in sustainable agricultural land management.

scholarly journals Analysis of the Impact of Land Use on Spatiotemporal Patterns of Surface Urban Heat Island in Rapid Urbanization, a Case Study of Shanghai, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1171 ◽  
Author(s):  
Hongyu Du ◽  
Fengqi Zhou ◽  
Chunlan Li ◽  
Wenbo Cai ◽  
Hong Jiang ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Land Surface ◽  
Agricultural Land ◽  
Heat Island ◽  
Rapid Urbanization ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The Impact

In the trend of global warming and urbanization, frequent extreme weather influences the life of citizens seriously. Shanghai, as a typical mega-city in China that has been successful in urbanization, suffers seriously from the urban heat island (UHI) effect. The research concentrates on the spatial and temporal pattern of surface UHI and land use. Then, the relation between them are further discussed. The results show that for the last 15 years, the UHI effect of Shanghai has been increasing continuously in both intensity and area. The UHI extends from the city center toward the suburban area. Along with the year, the ratio in area of Agricultural Land (AL), Wetland (WL), and Bare Land (BL) has decreased. On the contrary, Construction Land (CL) and Green Land (GL) have increased. The average land surface temperature (LST) rankings for each research year from high to low were all CL, BL, GL, AL, and WL. CL contributed the most to the UHI effect, while WL and GL contributed the most to mitigate the UHI. The conclusion provides practical advice aimed to mitigate the UHI effect for urban planning authorities.

scholarly journals Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia

2011 ◽  
Vol 30 (3) ◽  
pp. 19-32 ◽  
Author(s):  
Muh Marfai
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Regional Scale ◽  
Agricultural Land Use ◽  
Use Case ◽  
Coastal Inundation ◽  
Central Java ◽  
Dry Farming ◽  
The Impact

Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia Focusing on the regional scale, this study provides information concerning the existing ecological problems associated with coastal inundation in the northern part of coastal area in Central Java Province, Indonesia. The objectives of this paper are to map the coastal inundation, to investigate the impact of coastal inundation on coastal environment and ecology, and to assess the impact of inundation on agricultural land use. An integration of techniques, namely neighborhood analysis, iteration operation, and superimposed analysis method has been applied to generate the digital map and to analyze the impact of inundation. Fieldwork measurement has been done using cross-profiling in order to observe the impact of inundation on the coastal ecosystem. Based on the scenario of 100 cm and 150 cm of inundation, the affected area is about 15 207.6 Ha and 16 687.31 Ha, respectively. Fishpond, dry farming and paddy field are the most affected agricultural areas due to coastal inundation.

scholarly journals The effects of crop-to-beef relative prices on deforestation: evidence from the Tapajós Basin

2018 ◽  
Vol 23 (4) ◽  
pp. 391-412
Author(s):  
Arthur Bragança
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Local Level ◽  
Brazilian Amazon ◽  
Land Conversion ◽  
Relative Prices ◽  
Land Use Model ◽  
Cropland Conversion ◽  
The Impact ◽  
Input Prices

AbstractThis paper examines the impact of changes in agricultural land use on deforestation at the local level in the Tapajós Basin in the Brazilian Amazon. It uses exogenous variation in crop-to-beef relative prices to investigate the effects of pasture-to-cropland conversion on deforestation. The findings indicate that increases in crop-to-beef relative prices increase the rate of pasture-to-cropland conversion and reduce the rate of deforestation. The magnitude of the effects implies that land conversion reduced deforestation at the local level by 5,300 square kilometers from 2002 to 2012. This reduction is the equivalent of almost 15 per cent of the total deforestation observed in the region during this period. These results are consistent with a land use model in which cattle ranching and crop cultivation have different input-intensities and there is imperfect mobility of productive factors between municipalities. This model highlights the fact that changes in relative prices affect deforestation through its effect on input prices.

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