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Agent-based land-use models: a review of applications 总被引:9,自引:0,他引:9
Robin B. Matthews Nigel G. Gilbert Alan Roach J. Gary Polhill Nick M. Gotts 《Landscape Ecology》2007,22(10):1447-1459
Agent-based modelling is an approach that has been receiving attention by the land use modelling community in recent years,
mainly because it offers a way of incorporating the influence of human decision-making on land use in a mechanistic, formal,
and spatially explicit way, taking into account social interaction, adaptation, and decision-making at different levels. Specific
advantages of agent-based models include their ability to model individual decision-making entities and their interactions,
to incorporate social processes and non-monetary influences on decision-making, and to dynamically link social and environmental
processes. A number of such models are now beginning to appear—it is timely, therefore, to review the uses to which agent-based
land use models have been put so far, and to discuss some of the relevant lessons learnt, also drawing on those from other
areas of simulation modelling, in relation to future applications. In this paper, we review applications of agent-based land
use models under the headings of (a) policy analysis and planning, (b) participatory modelling, (c) explaining spatial patterns
of land use or settlement, (d) testing social science concepts and (e) explaining land use functions. The greatest use of
such models so far has been by the research community as tools for organising knowledge from empirical studies, and for exploring
theoretical aspects of particular systems. However, there is a need to demonstrate that such models are able to solve problems
in the real world better than traditional modelling approaches. It is concluded that in terms of decision support, agent-based
land-use models are probably more useful as research tools to develop an underlying knowledge base which can then be developed
together with end-users into simple rules-of-thumb, rather than as operational decision support tools.
This paper arises from research conducted as part of the UK Research Councils’ RELU Programme (award number RES-224-25-0102).
RELU is funded jointly by the Economic and Social Research Council, the Biotechnology and Biological Sciences Research Council
and the Natural Environment Research Council, with additional funding from the Department for Environment, Food and Rural
Affairs and the Scottish Executive Environment and Rural Affairs Department. 相似文献
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Laboratory computer links are a key part of acquisition, movement, and interpretation of certain types of data. Remote information retrieval from databases such as the Chemical Information System provides the analyst with structural and toxicological information via a laboratory terminal. Remote processing of laboratory data by large computers permits the application of pattern recognition techniques to the solution of complex multivariate problems such as the detection of food adulteration. 相似文献
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Collisionally activated decomposition mass spectrometry/mass spectrometry determination of organophosphorus pesticide residues in foods 总被引:1,自引:0,他引:1
Representative collisionally activated decomposition mass spectrometry/mass spectrometry spectra of omethoate, parathion, and azinphos-methyl pesticides are described. Crude and cleaned up extracts of strawberries or lettuce fortified at the 0.2 ppm level with omethoate, parathion, and azinphos-methyl were examined using the direct exposure probe. Cleaned up extracts produced better data because the large overburden of interfering coextractives was removed. 相似文献
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Roach JA Musser SM Morehouse K Woo JY 《Journal of agricultural and food chemistry》2006,54(7):2484-2490
Usnic acid is unambiguously confirmed by tandem mass spectrometry (MS/MS) in tumbleweed shield lichen, Xanthoparmelia chlorochroa. The lichen contains 2% usnic acid by liquid chromatography with UV quantification at 282 nm. The UV linear range for usnic acid quantification is from its 4 ng limit of detection to 2 microg injected. UV signal saturation is recognized by distortion of the usnic acid UV spectrum. Positive ion electrospray-tandem mass spectrometry offers no similar means to recognize quantification data recorded above the linear range of electrospray. Electrospray ionization capacity and matrix effects limit the reliability of tandem mass spectrometry quantification. The combination of UV quantification and MS confirmation provides a reliable analytical method for measuring usnic acid levels in plant material. 相似文献
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Baswaraj Raigond Ambika Verma Tarvinder Kochhar Shivani Roach Sanjeev Sharma S. K. Chakrabarti 《Phytoparasitica》2018,46(2):255-262
A simple, cost-effective and rapid viral nucleic acid release (NAR) buffer suitable for RT-PCR based diagnostic assay was developed for the detection of potato viruses. The NAR buffer and commercially available RNA isolation kit were compared for RT-PCR based assay, where an amplicon of expected size (~380 bp) targeting PVY was observed in both isolations indicating that it can be used in RT-PCR based diagnostic assays. The same was further validated for its repeatability by running across more than hundred suspected potato leaf samples collected from different sources where, it showed consistent results for the presence of PVY indicating its reliability. The NAR buffer assay was examined for its sensitivity in comparison with the kit based isolation where both the assays were able to detect even up to 10?5 dilution without affecting the sensitivity. NAR buffer was found stable up to 28 days at -20 °C and for 14 days at 4 °C without losing PCR sensitivity. The assay was also found effective to release the nucleic acid from potato leaves, thrips and aphids for PCR and RT-PCR based detection of DNA viruses like ToLCNDV-potato and other RNA viruses. The developed protocol is simple, less laborious, time-saving (10-15 min) and economical (1/100th of kit) as compared to kit based protocol. The assay can be adopted in diagnostic laboratories for detection of RNA/DNA viruses from potato plants and in thrips as well. 相似文献
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Over the past 50 years, the number and size of high-latitude lakes have decreased throughout many regions; however, individual lake trends have been variable in direction and magnitude. This spatial heterogeneity in lake change makes statistical detection of temporal trends challenging, particularly in small analysis areas where weak trends are difficult to separate from inter- and intra-annual variability. Factors affecting trend detection include inherent variability, trend magnitude, and sample size. In this paper, we investigated how the statistical power to detect average linear trends in lake size of 0.5, 1.0 and 2.0 %/year was affected by the size of the analysis area and the number of years of monitoring in National Wildlife Refuges in Alaska. We estimated power for large (930–4,560 sq km) study areas within refuges and for 2.6, 12.9, and 25.9 sq km cells nested within study areas over temporal extents of 4–50 years. We found that: (1) trends in study areas could be detected within 5–15 years, (2) trends smaller than 2.0 %/year would take >50 years to detect in cells within study areas, and (3) there was substantial spatial variation in the time required to detect change among cells. Power was particularly low in the smallest cells which typically had the fewest lakes. Because small but ecologically meaningful trends may take decades to detect, early establishment of long-term monitoring will enhance power to detect change. Our results have broad applicability and our method is useful for any study involving change detection among variable spatial and temporal extents. 相似文献