The Experts below are selected from a list of 105075 Experts worldwide ranked by ideXlab platform
Thomas W Hertel - One of the best experts on this subject based on the ideXlab platform.
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impacts of eu biofuels directives on global markets and eu environmental quality an integrated pe global cge analysis
Agriculture Ecosystems & Environment, 2011Co-Authors: Wolfgang Britz, Thomas W HertelAbstract:As policy makers become increasingly aware of the impact of their decisions on the global economy, as well as the impact of developments in the global economy on regional and national resource Use, the demand for cross-scale analysis of economic and environmental policies has become a high priority. This paper contributes to this literature by developing a new methodology to link two widely Used policy models in order to provide an integrated assessment of the environmental impacts of EU biofuels mandates. By combining the CAPRI model of EU agricultural production and resource Use with the GTAP model of global trade and Land Use, we are able to estimate both the global impacts of EU biofuels policies as well as the detailed, regional changes in Land Use and nutrient surplus. The applicability of this combined modeling approach extends well beyond biofuels. It could offer important insights into the global impacts of EU agricultural policy reforms, as well as analysis of the EU-regional impacts of global agreements on trade policy or climate change mitigation. In short, the methodology developed in this paper holds great promise for future, cross-scale analysis of global issues bearing on Agriculture, Land Use and the environment.
Surendra Singh - One of the best experts on this subject based on the ideXlab platform.
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a comparative assessment of Land suitability evaluation methods for agricultural Land Use planning at village level
Land Use Policy, 2018Co-Authors: Duraisamy Vasu, Rajeev Srivastava, N G Patil, Pramod Tiwary, P Chandran, Surendra SinghAbstract:Abstract Defining the relationship between soil characteristics and crop requirements must be the first step in planning future Agriculture Land Use. The aim of the present study is to identify the constraints and potentials of major soils in a block of Telangana, India and evaluate them for crop suitability and propose agricultural Land Use plans (ALUP) at village level. Using IRS P6 LISS IV, Cartosat-I and DEM data, we identified and mapped six soil series through detailed soil survey. Soils varied in depth ( 150 cm), texture, water holding capacity, hydraulic conductivity, pH, organic carbon and other inherent properties. We compared parametric, Storie index and multi-criteria Land suitability evaluation (MC-LSE) methods for evaluating Land suitability for pigeon pea, maize, cotton, groundnut and rice. The Land suitability index (LSI) by the three methods varied for three soil series, but for one series, the methods produced similar results for cotton, maize and pigeon pea. The correlation of LSI with crop yield showed that MC-LSE performed better than other two methods. After analysing the LSE results, existing cropping pattern, potential and adaptability of alternate options through participatory interaction with farmers, ALUP for 19 villages of the study area were developed. Moreover, we also discuss the challenges and opportunities in proposing and implementing ALUP in India. The results of the present study will be helpful for farm managers for making the best Use of soils based on their suitability. However, to demonstrate the applicability, practicability, and most importantly, the sustainability of proposed ALUP, coordinated implementation strategies are necessary.
Lourdes M Lima - One of the best experts on this subject based on the ideXlab platform.
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assessing groundwater pollution hazard changes under different socio economic and environmental scenarios in an agricultural watershed
Science of The Total Environment, 2015Co-Authors: Lourdes M Lima, Asuncion Romanelli, Hector MassoneAbstract:Abstract This paper proposes a modeling approach for assessing changes in groundwater pollution hazard under two different socio-economic and environmental scenarios: The first one considers an exponential growth of Agriculture Land-Use (Relegated Sustainability), while the other deals with regional economic growth, taking into account, the restrictions put on natural resources Use (Sustainability Reforms). The recent (2011) and forecasted (2030) groundwater pollution hazard is evaluated based on hydrogeological parameters and, the impact of Land-Use changes in the groundwater system, coupling together a Land-Use change model (Dyna-CLUE) with a groundwater flow model (MODFLOW), as inputs to a decision system support (EMDS). The Dulce Stream Watershed (Pampa Plain, Argentina) was chosen to test the Usefulness and utility of this proposed method. It includes a high level of agricultural activities, significant local extraction of groundwater resources for drinking water and irrigation and extensive available data regarding aquifer features. The Relegated Sustainability Scenario showed a negative change in the aquifer system, increasing (+ 20%; high–very high classes) the contribution to groundwater pollution hazard throughout the watershed. On the other hand, the Sustainability Reforms Scenario displayed more balanced Land-Use changes with a trend towards sustainability, therefore proposing a more acceptable change in the aquifer system for 2030 with a possible 2% increase (high–very high classes) in groundwater pollution hazard. Results in the recent scenario (2011) showed that 54% of Dulce Stream Watershed still shows a moderate to a very low contribution to groundwater pollution hazard (mainly in the lower area). Therefore, from the point of view of natural resource management, this is a positive aspect, offering possibilities for intervention in order to prevent deterioration and protect this aquifer system. However, since it is quite possible that this aquifer status (i.e. groundwater quality) changes in the near future, the implementation of planning measures and natural resource management is recommended.
Ishfaq Gujree - One of the best experts on this subject based on the ideXlab platform.
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long term perspective changes in crop irrigation requirement caUsed by climate and Agriculture Land Use changes in rechna doab pakistan
Water, 2019Co-Authors: Arfan Arshad, Zhijie Zhang, Wanchang Zhang, Ishfaq GujreeAbstract:Climate change and Agriculture Land Use changes in the form of cropping patterns are closely linked with crop water Use. In this study the SDSM (statistical downscaling model) was Used to downscale and simulate changes in meteorological parameters from 1961 to 2099 using HadCM3 General Circulation Model (GCM) data under two selected scenarios i.e., H3A2 and H3B2. Results indicated that Tmax, Tmin, and wind speed may increase while relative humidity and precipitation may decrease in the future under both H3A2 and H3B2 scenarios. Downscaled meteorological parameters were Used as input in the CROPWAT model to simulate crop irrigation requirement (CIR) in the baseline (1961–1990) and the future (2020s, 2050s and 2080s). Data related to Agriculture crop sown area of five major crops were collected from Punjab statistical reports for the period of 1981–2015 and forecasted using linear exponential smoothing based on the historical rate. Results indicated that the cropping patterns in the study area will vary with time and proportion of area of which sugarcane, wheat, and rice, may exhibit increasing trend, while decreasing trend with respect to the baseline scenario was found in maize and cotton. Crop sown area is then multiplied with CIR of individual crops derived from CROPWAT to simulate Net-CIR (m3) in three sub-scenarios S1, S2, and S3. Under the H3A2 scenario, total CIR in S1, S2, and S3 may increase by 3.26 BCM, 12.13 BCM, and 17.20 BCM in the 2080s compared to the baseline, while under the H3B2 scenario, Net-CIR in S1, S2, and S3 may increase by 2.98 BCM, 12.04 BCM, and 16.62 BCM in the 2080s with respect to the baseline. It was observed that under the S2 sub-scenario (with changing Agriculture Land-Use), total CIR may increase by 12.13 BCM (H3A2) and 12.04 BCM (H3B2) in the 2080s with respect to the baseline (1961–1990) which is greater as compared to S1 (with changing climate). This study might be valuable in describing the negative effects of climate and Agriculture Land Use changes on annual crop water supply in Rechna Doab.
A J Melloul - One of the best experts on this subject based on the ideXlab platform.
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groundwater vulnerability assessment using a composite model combining drastic with extensive agricultural Land Use in israel s sharon region
Journal of Environmental Management, 1998Co-Authors: S Secunda, M L Collin, A J MelloulAbstract:Abstract Vulnerability assessment to define areas critical for the maintenance of groundwater quality has been shown throughout the world to be an effective tool for establishing monitoring networks required for surveillance of potential pollution sites. One objective of this study has been to integrate the impact of extensive Land Use over long periods of time upon aquifer media as an additional parameter to the DRASTIC model to assess the potential level of groundwater vulnerability to pollution. An additional objective involved adaptation of this composite model to a specific region of a coastal aquifer, at a scale commensurate with effective hydrological management needs. The methodology employs empirical means to integrate aquifer media and extensive Agriculture Land Use data covering the study area. The final assessment thus incorporates both the natural state of the vadose zone and aquifer media as well as the potential danger posed by the long-term effect upon the media of existing extensive Land usage to the region's groundwater. The assessment utilizes Geographic Information System (GIS) technology. The study's unique contribution involves estimation of a composite index for each cell, enabling comparison with a potential index of vulnerability to groundwater pollution which includes Land Use impact and the empirical situation of groundwater quality in the field. The results exhibit certain correspondence for Israel's coastal Sharon region between the DRASTIC Index, The Composite DRASTIC—Agricultural Land Use Index, and high nitrate levels. Such results delineate areas of high pollution risk, and increase the feasibility of applying such models world-wide.