scholarly journals Using sustainability indicators in agricultural land use analysis: an example from Costa Rica

1995 ◽  
Vol 43 (1) ◽  
pp. 61-82 ◽  
Author(s):  
D.M. Jansen ◽  
J.J. Stoorvogel ◽  
R.A. Schipper

A methodology to analyse land use is applied to the Neguev settlement in the Atlantic Zone of Costa Rica. The methodology comprises a linear programming model, a geographical information system, and a customized data management tool. While options for land use are described at the field level, the methodology allows for analysis of land use at the field, the farm and the regional level. The various steps involved in making the sustainability concept operational are described. Selection and quantification of the sustainability indicators require some assumptions, affecting the period for which the analysis can assumed to be valid. The possibility of using nutrient balances and biocide indices as quantitative indicators of sustainability of agricultural land use systems is argued and demonstrated for the Neguev settlement. Some limitations and advantages of the methodology are discussed.

1999 ◽  
Vol 39 (3) ◽  
pp. 135-148 ◽  
Author(s):  
Carlo Giupponi ◽  
Paolo Rosato

The effects of alternative agricultural land use scenarios in terms of environmental impact assessment on surface and ground water were simulated by means of combined socio-economic and environmental models. The economic model produced and evaluated alternative farming systems, defined in terms of land use (in farm crop allocations and regional statistics of crop distributions) and cultivation practices as influenced by different macro-economic scenarios of agricultural policies. These scenarios were defined on the basis of the present Common Agricultural Policy of the European Union and possible future measures for reducing the impact of current agricultural systems on the environment. The farmers' decisional process has been simulated with multi-objective functions aimed at maximising profits and minimising risk. The methodology for the environmental impact assessment of farming systems is based on a simulation model for non-point source agricultural pollution which determines the impact of agriculture on a single field basis as influenced by environmental variables (soil and climate) and farmers' decisions (crop, soil management, fertilisation, etc.). The results obtained from this model were used to calculate a series of comparative indices capable of describing the effects of the use of fertilisers and pesticides on surface and ground waters. A geographical information system supported the spatial data management in particular for: a) the definition of simulation environments; b) the integration of physical and statistical geographical information; c) the cartographic presentation of results and the comparison of alternative scenarios. The model has been applied in the area of the Watershed of the Lagoon of Venice (WLV), located in northern Italy and has demonstrated how alternative policy scenarios determine not only significant variations in the overall environmental impacts in the study area, but also remarkable differences in their spatial distribution.


Author(s):  
Tran Thi Phuong ◽  
Nguyen Bich Ngoc ◽  
Nguyen Hoang Khanh Linh ◽  
Nguyen Thi Hong Mai ◽  
Huynh Van Chuong

The phenomenon of prolonged drought as one of the consequences of climate change has significantly affected the agricultural production of rural communities in both mountainous and plain areas of Vietnam. This study, using standardized precipitation index (SPI) combining with the space technologies of Geographical Information Systems (GIS) and Remote Sensing (RS) to simulate and forecast the effects of drought on agricultural land use in Bac Tra My district, Quang Nam province. The data was set up for two scenarios of RCP 4.5 and RCP 8.5 in Bac Tra My district of Quang Nam province. Simultaneously, the research has also applied the focus group discussion, in-depth interview and field survey for data cross-checking to ensure highly reliable predictions. The research result has addressed four levels of drought, including normal, mild, moderate and severe drought appearing in the Summer-Autumn crop in the period 2016 – 2035 of the district. In which, severe drought will appear on large scale for both scenarios of RCP 4.5 and RCP 8.5 for 5 types of agricultural land use including paddy, annual crop, perennial, afforestation and aquacultural land. From these findings, the local authorities can consider and apply the adaptation and mitigation measures to climate change in agricultural land use planning.


2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Wuthichai Kaewwaen ◽  
Adisak Bhumiratana

The agricultural land use changes that are human-induced changes in agroforestry ecosystems and in physical environmental conditions contribute substantially to the potential risks for malaria transmission in receptive areas. Due to the pattern and extent of land use change, the risks or negatively ecosystemic outcomes are the results of the dynamics of malaria transmission, the susceptibility of human populations, and the geographical distribution of malaria vectors. This review focused basically on what are the potential effects of agricultural land use change as a result of the expansion of rubber plantations in Thailand and how significant the ecotopes of malaria-associated rubber plantations (MRP) are. More profoundly, this review synthesized the novel concepts and perspectives on applied landscape ecology and epidemiology of malaria, as well as approaches to determine the degree to which an MRP ecotope as fundamental landscape scale can establish malaria infection pocket(s). Malaria ecotoping encompasses the integrated approaches and tools applied to or used in modeling malaria transmission. The scalability of MRP ecotope depends upon its unique landscape structure as it is geographically associated with the infestation or reinfestation ofAnophelesvectors, along with the attributes that are epidemiologically linked with the infections. The MRP ecotope can be depicted as the hotspot such that malaria transmission is modeled upon the MRP factors underlying human settlements and movement activities, health behaviors, land use/land cover change, malaria vector population dynamics, and agrienvironmental and climatic conditions. The systemic and uniform approaches to malaria ecotoping underpin the stratification of the potential risks for malaria transmission by making use of remotely sensed satellite imagery or landscape aerial photography using unmanned aerial vehicle (UAV), global positioning systems (GPS), and geographical information systems (GIS).


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