Three Frontiers of the Southern Yucatán Peninsular Region and SYPR Project

Author(s):  
B. L. Turner II ◽  
D. R. Foster

Frontiers advance and retreat, both figuratively and literally. At this moment they are advancing in three ways relevant to the subject of this book and the ongoing project on which it is based. First, after more than a century of reductionist hegemony, various science communities worldwide increasingly recognize the need to improve complementary, synthesis understanding—a way of putting the reductionist pieces of the problem back together again in order to understand how the ‘whole’ system works and to identify the emergent properties that follow from the complex interactions of the pieces. Synthesis understanding is not, of course, new. In the late eighteenth century, Immanuel Kant argued for it as one of the pillars of science in the reorganization of knowledge in the European academy (Turner 2002a) and designated geography as one of the ‘synthesis sciences’. Its contemporary rediscovery, however, rests in the science of global environmental change (Lawton 2001; Steffen et al. 2002), especially efforts to model complex systems, such as those in ocean–atmosphere–land interactions, and has been expanded by emerging research agendas seeking to couple human and environment systems, often registered under the label of ‘sustainability science’ (e.g. Kates et al. 2001; NRC 1999). Second, within these developments landuse and land-cover change (or, simply, land change) is singled out because of its centrality to a wide range of environmental concerns, including global climate change, regional–local hydrological impacts, biodiversity, and, of course, human development and ecosystem integrity (e.g. Brookfield 1995; NRC 2000; Watson et al. 2001). The need to advance an integrated land-change science is also increasingly recognized, one in which human, ecological, and remote sensing and geographical information systems (GIS) sciences are intertwined in problem-solving (Liverman et al. 1998; Klepeis and Turner 2001; Turner 2002b). And central to this effort is the need to advance geographically (spatially) explicit land-change models that can explain and project coupled human-ecological systems, and thus serve a wide range of research and assessment constituencies, from carbon to biodiversity to human vulnerability (IGBP 1999; Irwin and Geoghegan 2001; Kates et al. 2001; Liverman et al. 1998; Veldkamp and Lambin 2001). These two developments—synthesis science and integrated land science directed towards geographically explicit land-change models—constitute the broader intellectual and research frontiers to which this work contributes.

Author(s):  
Jacqueline Geoghegan ◽  
Laura Schneider

A range of research interests beyond global environmental change science increasingly calls for advances in land-change models and, specifically, models that have fine-grained locational outputs. The rationale for such modeling about land change has been articulated elsewhere in this book (Ch. 1; Introduction to Part IV) and need not be reiterated here. It is important to note, however, that advances in question are assisted by the advances in the analytical sophistication of geographical information systems, hardware (GPS) that permits geographical coordinates to be established easily in the field, and for land-change studies, increasing temporal and spatial resolution of satellite imagery. Much of the first phase of land-change models that incorporate these systems and data has been empirical-based, time series assessments, such as Markov-chain models (e.g. Turner 1988), that let the record of land change determine future projections, or the spatial level of assessment has been large-grain (e.g. counties, states, regions). The SYPR project seeks a different approach demonstrated here: to test theories of land change in regard to their ability to explain fine-grained land change in the region at different spatial scales of assessment. Two complementary econometric modeling approaches are used here to investigate the factors that affect deforestation at the regional and household scales of analysis. Both approaches use the individual satellite pixels as the data on land-use change, from the classification of TM imagery described in Ch. 6. A regional model spans the entire study area of agricultural ejidos, and links the satellite imagery with publicly available geophysical data and socio-demographic government census data. The second model focuses exclusively on the parcels associated with the household survey data collected specifically for this project, discussed in Part III, especially Ch. 8. This latter approach uses the same geophysical data of the aggregate approach, but uses the much richer socio-demographic data derived from the linkage of individual farm plots and the satellite imagery via the sketch mapping exercise described in Chs. 8 and 9. While both models take a theoretical approach of individual maximization, they differ in a number of ways, the most important of which is the role of time in the decision-making process.


Rangifer ◽  
2009 ◽  
Vol 27 (2) ◽  
pp. 107-119
Author(s):  
Henrik Lundqvist ◽  
Öje Danell

The 51 reindeer herding districts in Sweden vary in productivity and prerequisites for reindeer herding. In this study we characterize and group reindeer herding districts based on relevant factors affecting reindeer productivity, i.e. topography, vegetation, forage value, habitat fragmentation and reachability, as well as season lengths, snow fall, ice-crust probability, and insect harassment, totally quantified in 15 variables. The herding districts were grouped into seven main groups and three single outliers through cluster analyses. The largest group, consisting of 14 herding districts, was further divided into four subgroups. The range properties of herding districts and groups of districts were characterized through principal component analyses. By comparisons of the suggested grouping of herding districts with existing administrative divisions, these appeared not to coincide. A new division of herding districts into six administrative sets of districts was suggested in order to improve administrative planning and management of the reindeer herding industry. The results also give possibilities for projections of alterations caused by an upcoming global climate change. Large scale investigations using geographical information systems (GIS) and meteorological data would be helpful for administrative purposes, both nationally and internationally, as science-based decision tools in legislative, economical, ecological and structural assessments. Abstract in Swedish / Sammanfattning: Multivariat gruppering av svenska samebyar baserat på renbetesmarkernas grundförutsettningar Svenska renskötselområdet består av 51 samebyar som varierar i produktivitet och förutsättningar för renskötsel. Vi analyserade variationen mellan samebyar med avseende på 15 variabler som beskriver topografi, vegetation, betesvärde, fragmentering av betesmarker, klimat, skareförekomst och aktivitet av parasiterande insekter och vi föreslår en indelning av samebyar i tio grupper. Den största gruppen, som bestod av 14 samebyar, delades vidare in i 4 undergrupper. Klusteranalyser med 4 olika linkage-varianter användes till att gruppera samebyarna. Principalkomponentsanalys användes för att kartlägga undersökta variabler och de resulterande samebygruppernas karaktär. Samebygrupperna följde inte länsgränser och tre samebyar föll ut som enskilda grupper. Denna undersökning ger underlag för jämförelser mellan samebyar med beaktande av likheter och olikheter i fråga om produktivitet och funktionella särdrag istället för länsgränser och historik. Vi föreslår en ny administrativ indelning i sex områden som skulle kunna fungera som ett alternativt underlag för planering och beslut som rör produktionsaspekter i rennäringen. Resultaten ger också underlag för förutsägelser av förändringar i samebyars produktionsförutsättningar till följd av klimatförändringar.


2021 ◽  
pp. 36-55
Author(s):  
Karel Charvat ◽  
Runar Bergheim ◽  
Raitis Bērziņš ◽  
František Zadražil ◽  
Dailis Langovskis ◽  
...  

For the purpose of exploiting the potential of cloud connectivity in geographical information systems, the Map Whiteboard technology introduced in this article does for web mapping what Google Docs does for word processing; create a shared user interface where multiple parties collaboratively can develop maps and map data while seeing each other work in realtime. To develop the Map Whiteboard concept, we have applied a methodology whereby we have collected technical and functional requirements through a series of hackathons, implemented a prototype in several stages, and subjected this to rigorous testing in a lab environment and with selected users from relevant environments at intermediate scale. The work has resulted in a fully functional prototype that exploits WebSockets via a cloud service to reflect map and data changes between multiple connected clients. The technology has a demonstrated potential for use in a wide range of web GIS applications, something that is facilitated by the interfaces already implemented towards mainstream mapping frameworks like OpenLayers and QGIS-two of the most popular frameworks for Web GIS solutions. Further development and testing are required before operationalization in mission-critical environments. In conclusion, the Map Whiteboard concept offers a starting point for exploiting cloud connectivity within GIS to facilitate the digitalization of common processes within the government and private sector. The technology is ready for early adopters and welcomes the contribution of interested parties.


Author(s):  
Mike Davies ◽  
Robert Murley ◽  
Ian Adsley

Traditional techniques for the assessment of pollutants in contaminated land, notably brown-field sites, may not yield the speed and accuracy now required for estimates of risk and remediation cost. Detailed site investigation is often limited by the time and cost of laboratory-based analysis techniques and time-consuming data collation phases. Thus, relatively straightforward technical issues, such as the mapping of priority areas of a site, can be unnecessarily delayed and expensive. The GROUNDHOG system was developed to address these problems and to provide a platform for the development of a range of techniques for the radiological survey of potentially contaminated land. The system brings together the best of well-established and recent technologies. Visualisation of the survey results is improved by the use of Geographical Information Systems and Database systems allow an audit trail to be maintained as part of a Quality Assurance programme. Development of the Groundhog system has continued, increasing the sensitivity of the system for some applications, using gamma radiation spectrometry systems to provide qualitative measurements and constructing ruggedised systems for surveys of areas where the risks associated with manual surveys are deemed unacceptable. In recent years, ‘conventional’ Groundhog surveys have been performed on many nuclear and non-nuclear sites, for a wide range of reasons: de-licensing nuclear facilities; pre- and post-remediation surveys of contaminated land; during the remediation of contaminated land, to reduce waste volume. Specialised versions of the system have been developed and used for the location of discrete nuclear fuel ‘particles’ on beaches, sub-surface measurements have been made for estimating waste volume and a submarine survey has been conducted. This paper describes some of the projects completed and the technologies used to perform the work.


2011 ◽  
Vol 26 (S1) ◽  
pp. s46-s46
Author(s):  
K.M. Simon-Agolory ◽  
K.Z. Watkins

It is common knowledge that having an individual or family disaster plan is vital for saving lives and property before, during and after a disaster. First responders have the daunting task of helping many people during a disaster. It would make their jobs easier if people had disaster plans before a disaster. However, for a variety of reasons, few people have a disaster plan. People often do not develop disaster plans due to the time required to devise a plan, a lack of knowledge of the benefits of having a plan, or the effort required for the primarily manual process of developing a disaster plan. Wilberforce University has designed a solution called Wilberforce's Information Library Boosting Emergency Recovery (WILBER) which is a customized, online tool to quickly and automatically generate disaster plans to help save lives and property as well as mitigate the impacts of a potential disaster. WILBER utilizes an interdisciplinary approach to automatically generate a basic disaster preparedness plan. The system addresses a wide range of disasters but focuses on floods, earthquakes and technological disasters such as terrorism and nuclear disasters. WILBER automatically processes locally relevant data intelligently and combines mathematical analysis; distributed computing; individual and business risk management; current and historical information from a comprehensive Geographical Information Systems (GIS) that includes imagery, infrastructure, demographic, and environmental data; and wireless sensors for real time condition assessment. Not planning for a disaster only increases the potential magnitude of a disaster. WILBER allows citizens to quickly establish immediate procedures in the event of an emergency which in turn can lessen the burden on first responders and reduces the likelihood of loss of life. This research is funded by the Department of Energy's National Nuclear Security Administration and conducted by the Wilberforce University Disaster Recovery Center in Wilberforce, Ohio, USA.


2011 ◽  
Vol 1 (2) ◽  
pp. 263-270 ◽  
Author(s):  
H. K. Watson ◽  
R. A. Diaz-Chavez

This paper synthesizes lessons learnt from research that aimed to identify land in the dryland regions of eight sub-Saharan African study countries where bioenergy feedstocks production has a low risk of detrimental environmental and socio-economic effects. The methodology involved using geographical information systems (GISs) to interrogate a wide range of datasets, aerial photograph and field verification, an extensive literature review, and obtaining information from a wide range of stakeholders. The GIS work revealed that Africa's drylands potentially have substantial areas available and agriculturally suitable for bioenergy feedstocks production. The other work showed that land-use and biomass dynamics in Africa's drylands are greatly influenced by the inherent ‘disequilibrium’ behaviour of these environments. This behaviour challenges the sustainability concept and perceptions regarding the drivers, nature and consequences of deforestation, land degradation and other factors. An assessment of the implications of this behaviour formed the basis for the practical guidance suggested for bioenergy feedstock producers and bioenergy policy makers.


2021 ◽  
Author(s):  
Katrina Mavrou

This paper examines the preliminary development plan for the Slave Geological Province Access Corridor project, and evaluates the identified criteria and constraints referring to economic, environmental and social sustainability. The corridor project was first introduced in the 1970’s, and in March 2019 progress was made when the Federal government granted $3.4 million towards preliminary work for the all-season corridor, with an additional $2.7 million contributed from other environmental agencies and developers to assist in the preliminary construction of the all-season corridor (CBC News, 2019). Due to the unpredictability of seasonal roads, especially in a time of global climate change and weather extremes, an all-season road is significantly more reliable and will provide benefits to the economy and mining industry of the Northwest Territories. The land is rich in natural resources and creating an all-season road would greatly increase accessibility to northern Canada, directly improving livelihood and future exploration. This paper proposes potential methods for creating a least cost path suitability using geographical information systems via examination of economic, environmental and social factors at various levels. This methodology produced six pathways using six cost surfaces. More detailed criteria layers produced complex heterogeneous cost surfaces that hold a heavy influence in creating barriers in the cost surface layer. Broad, more course data created cost surfaces will continuous cost cells, where cell costs were not as sporadically mixed. The pathways produced in this report are not intended for actual use; rather the methodology, models and scripts should be used as framework for the proposal of the Slave Geological Corridor.


2016 ◽  
Author(s):  
Marzieh Mokarram ◽  
Majid Hojati

Abstract. The Multicriteria Decision Analysis (MCDA) and Geographical Information Systems (GIS) are used to provide accurate information on Pedogenic processes and facilitate the work of decision makers. So, MCDA and GIS, can provide a wide range of decision strategies or scenarios in some procedures. One of the popular algorithm of multicriteria analysis is Ordered Weighted Averaging (OWA). The OWA procedure depends on some parameters, which can be specified by means of fuzzy. The aim of this study is to take the advantage of the incorporation of fuzzy into GIS-based soil fertility analysis by OWA in west Shiraz, Fars province, Iran. For the determination of soil fertility maps, OWA parameters such as potassium (K), phosphor (P), copper (Cu), iron (Fe), manganese (Mn), organic carbon (OC) and zinc (Zn) were used. After generated interpolation maps with Inverse Distance Weighted (IDW), fuzzy maps for each parameter were generated by the membership functions. Finally, with OWA six maps for fertility with different risk level were made. The results show that with decreasing risk (no trade-off), almost all of the parts of the study area were not suitable for soil fertility. While increasing risk, more area was suitable in terms of soil fertility in the study area. So using OWA can generate many maps with different risk levels that lead to different management due to the different financial conditions of farmers.


2011 ◽  
Vol 6 (2) ◽  
Author(s):  
Sarah Cornelius ◽  
Ian Heywood

Geographical Information Systems (GIS) are computer-based tools for the input, management, analysis, modelling and display of geographical data. GIS are applied in a wide range of organizations and disciplines, including central and local government, environmental agencies, transport planning and vehicle navigation, education and research, utilities management, resource management, and the financial and retail sectors. GIS is a field of constantly changing technology, and it has been recognized that GIS education needs to be more than a 'once in a lifetime' event (Muller, 1993). Consequently, GIS teachers have developed computer-based materials for learners at all levels, from school students to postgraduates, and for the independent professional updating their skills and knowledge. To date, these materials have followed a number of approaches. Initially demonstrations of GIS software and its capabilities addressed the need to increase awareness of GIS and its applications (DoE, 1987). Arcdemo (Green, 1987) was an innovative early example, providing a demonstration of the software package Arc/Info online. Training in particular software, and the need for hands-on experience, have been addressed with the production of software-specific educational materials which use primarily traditional text-based instructions for exercises with specially prepared data. Examples include Getting started in GIS (Langford, 1993), the Unitar workbooks for Idrisi (for example McKendry et al, 1992) and Understanding GIS: the Arc/Info Method (ESRI, 1990). These have proved particularly popular, and by directing learners through structured exercises allow new users to become familiar with complex software in a relatively short time. More recently, they have migrated to CD-ROM, with training materials such as Getting to know Arcview (ESRI, 1995) provided in this format, and combining software, data and demonstrations.DOI:10.1080/0968776980060204


Geosciences ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 353 ◽  
Author(s):  
Tumel ◽  
Zotova

The diagnosis of the geoecological state of natural landscapes during the economic development of the permafrost zone should be established by assessing destructive cryogenic processes. Furthermore, the geoecological state should be considered in terms of landscape resistance to an increase in cryogenic processes. In this paper, we examine and determine lithocryogenic stability parameters, including permafrost distribution over an area, annual mean temperature, ice content (humidity), and the protective properties of the vegetation. Activation of cryogenic processes in Western Siberia was estimated in terms of the area, development rate and attenuation, natural landscape damage, and hazards to engineering and mining facility operations. The evaluation procedure and the improvement in expert numerical scores are shown. A number of approved methods are proposed for creating assessment maps at various scales using landscape indication methods, decoded satellite images, expert assessments, statistical calculations, and analysis of spatial geographical information systems. Methodical techniques for digital geocryological mapping on the basis of the landscape are presented at scales from 1:3,000,000 to 1:20,000,000. All the maps were created by the authors and can be used for a wide range of applications, including design, survey organizations, and education.


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