scholarly journals Impacts of Spatial Patterns of Rural and Exurban Residential Development on Agricultural Trends in the Intermountain West

SAGE Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 215824401987103
Author(s):  
Saleh Ahmed ◽  
Douglas Jackson-Smith
Keyword(s):  
Spatial Patterns ◽  
Urban Areas ◽  
Growth Management ◽  
Residential Development ◽  
Agricultural Activity ◽  
County Level ◽  
Intermountain West ◽  
Management Tools ◽  
Spatial Dependencies ◽  
Agricultural Trends

In recent years, counties in the Intermountain West (Colorado, Idaho, Montana, Wyoming, and Utah) have experienced rapid population growth and housing development, and much of this growth is occurring outside of urban areas. Residential development often has negative impacts on farmlands, farm viability, and environmental services provided by working landscapes. We used county-level data to identify the association between the intensity and spatial patterns of residential settlement and trends in selected farm outcomes between 1997 and 2012 in the region. Results demonstrate that accounting for the spatial pattern or degree of fragmentation and clustering of rural and exurban residential development improves our ability to explain variation in county-level agricultural trends. We also found evidence of significant spatial dependencies among the counties in this region, which suggests that trends in one county are affected by development and agricultural activity in neighboring counties. Findings suggest that efforts to protect farming using growth management tools can work, but should focus on separation of agriculture and potentially conflicting land uses.

scholarly journals Taking Implementation Seriously in the Evaluation of Urban Growth Management Strategies: “Safeguarding the Future” of the Antwerp City-Region

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 159
Author(s):  
Clemens de Olde ◽  
Stijn Oosterlynck
Keyword(s):  
Urban Growth ◽  
Urban Areas ◽  
Growth Management ◽  
Management Strategies ◽  
Housing Prices ◽  
Policy Formulation ◽  
Land Values ◽  
Implementation Phase ◽  
The Future ◽  
Urban Growth Management

Contemporary evaluations of urban growth management (UGM) strategies often take the shape of quantitative measurements of land values and housing prices. In this paper, we argue that it is of key importance that these evaluations also analyse the policy formulation and implementation phases of growth management strategies. It is in these phases that the institutions and discourses are (trans)formed in which UGM strategies are embedded. This will enable us to better understand the conditions for growth management policies’ success or failure. We illustrate this point empirically with the case of demarcating urban areas in the region of Flanders, Belgium. Using the Policy Arrangement Approach, the institutional dynamics and discursive meanings in this growth instrument’s formulation and implementation phase are unravelled. More specifically, we explain how the Flemish strategic spatial planning vision of restraining sprawl was transformed into one of accommodating growth in the demarcation of the Antwerp Metropolitan Area, epitomised by two different meanings of the phrase “safeguarding the future.” In conclusion, we argue that, in Antwerp, the demarcation never solidified into a stable policy arrangement, rendering it largely ineffective. We end by formulating three recommendations to contribute to future attempts at managing urban growth in Flanders.

scholarly journals Cycle-oriented approach to building a model of production costs

2020 ◽  
Vol 17 ◽  
pp. 00124
Author(s):  
Elena P. Polikarpova ◽  
Igor E. Mizikovskiy
Keyword(s):  
Cost Management ◽  
Modern Science ◽  
Management Control ◽  
Point Of View ◽  
Production Costs ◽  
Production Cycle ◽  
Agricultural Activity ◽  
Management Tools ◽  
Agricultural Enterprises ◽  
Oriented Approach

Modern science and practice does not have a sufficient set of cost management tools, taking into account the duration of the production cycle, characteristic of agricultural activity. The implementation of a cycle-oriented approach to building a model of production costs was based on studying the existing options for classifying production costs, which were supplemented with features from the perspective of managing long production cycles. As a result of the study, a model of production costs was built from the point of view of a cycle-oriented approach, as well as a model of production costs from the standpoint of features of a long production cycle. The model can serve as the basis for the formation of the information space of cost management, control and cost analysis in the economy of agricultural enterprises.

scholarly journals Clustering of Maxima: Spatial Dependencies among Heavy Rainfall in France

2013 ◽  
Vol 26 (20) ◽  
pp. 7929-7937 ◽  
Author(s):  
Elsa Bernard ◽  
Philippe Naveau ◽  
Mathieu Vrac ◽  
Olivier Mestre
Keyword(s):  
Spatial Patterns ◽  
Extreme Value Theory ◽  
Heavy Rainfall ◽  
Spatial Clustering ◽  
Relevant Information ◽  
Value Theory ◽  
Research Field ◽  
Multivariate Extreme Value Theory ◽  
Spatial Dependencies ◽  
The Mean

Abstract One of the main objectives of statistical climatology is to extract relevant information hidden in complex spatial–temporal climatological datasets. To identify spatial patterns, most well-known statistical techniques are based on the concept of intra- and intercluster variances (like the k-means algorithm or EOFs). As analyzing quantitative extremes like heavy rainfall has become more and more prevalent for climatologists and hydrologists during these last decades, finding spatial patterns with methods based on deviations from the mean (i.e., variances) may not be the most appropriate strategy in this context of studying such extremes. For practitioners, simple and fast clustering tools tailored for extremes have been lacking. A possible avenue to bridging this methodological gap resides in taking advantage of multivariate extreme value theory, a well-developed research field in probability, and to adapt it to the context of spatial clustering. In this paper, a novel algorithm based on this plan is proposed and studied. The approach is compared and discussed with respect to the classical k-means algorithm throughout the analysis of weekly maxima of hourly precipitation recorded in France (fall season, 92 stations, 1993–2011).

scholarly journals Back to the Countryside: Rural Development and the Spatial Patterns of Population Migration in Zhejiang, China

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 788
Author(s):  
Weiming Tong ◽  
Kevin Lo
Keyword(s):  
Rural Development ◽  
Spatial Patterns ◽  
Rural Areas ◽  
Return Migration ◽  
Urban Areas ◽  
Population Migration ◽  
Dominant Form ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Level Data

This study examines how rural development in China shapes new trends in population migration. Using first-hand, village-level data from Zhejiang—an economically developed province in China—we investigated the patterns and influencing factors of population migration between rural and urban areas. We conceptualized three types of migration in rural areas: rural out-migration, rural in-migration, and rural return-migration. First-hand data were collected from 347 villages. The results show that although rural out-migration remains the dominant form of migration, rural in-migration and return-migration are also common, and the latter two are positively correlated. Further, we found evidence to support the conclusion that rural economic, social, and spatial development encourages rural in-migration and return-migration but does not have a significant impact on rural out-migration. Therefore, it is foreseeable that rural in-migration and return-migration will become increasingly common in China.

scholarly journals Recover and They’ll Come: Flower Visiting Bees Benefit from the Continuous of Micro-Environments Set by Regenerating Forest Fragments

Sociobiology ◽  
2021 ◽  
Vol 68 (1) ◽  
pp. 5861
Author(s):  
Ana Isabel Sobreiro ◽  
Lucas Lopes da Silveira Peres ◽  
Jessica Amaral Henrique ◽  
Rosilda Mara Mussury ◽  
Valter Vieira Alves-Junior
Keyword(s):  
Urban Areas ◽  
Environmental Changes ◽  
Climatic Conditions ◽  
Agricultural Activity ◽  
Forest Fragments ◽  
Forest Types ◽  
Continuous Forest ◽  
Flower Visiting ◽  
Bee Communities ◽  
Forest Habitats

Forest habitats are important sources of food and nesting resources for pollinators, primarily in urban areas and landscapes with intense agricultural activity. The forest fragmentation and environmental changes occurring in these green refuges are known to impose survival challenges to pollinating bees, leading to species loss. However, it is not well known how the species of bees that visit flowers are distributed in forest micro-environments. To fill this gap, we sampled flower visiting bees in a continuous forest matrix with micro-environments of two forest types (mature and regenerating forest). We examined how the local environmental changes and climatic conditions affect the composition and uniformity of bee communities in the different micro-environments. Our results indicated that both abundance and richness were similar between forest types studied here, however climatic conditions and plant flowering patterns affect the composition of bees. Thus, our results demonstrated that the continuous micro-environments can favor floral visits and the reintegration of bee communities, and still, that this strategy can be used to minimize the impacts of environmental changes at local scales.

scholarly journals Geovisualization and Spatial Analysis of Infant Mortality and Preterm Birth in Ohio, 2008-2015: Opportunities to Enhance Spatial Thinking

2020 ◽  
Vol 135 (4) ◽  
pp. 472-482
Author(s):  
Elisabeth Dowling Root ◽  
Emelie D. Bailey ◽  
Tyler Gorham ◽  
Christopher Browning ◽  
Chi Song ◽  
...  
Keyword(s):  
Public Health ◽  
Preterm Birth ◽  
Spatial Analysis ◽  
Infant Mortality ◽  
Spatial Patterns ◽  
Urban Areas ◽  
Vital Statistics ◽  
Infant Mortality Rate ◽  
Spatial Inequalities ◽  
Geographic Clustering

Objectives Geovisualization and spatial analysis are valuable tools for exploring and evaluating the complex social, economic, and environmental interactions that lead to spatial inequalities in health. The objective of this study was to describe spatial patterns of infant mortality and preterm birth in Ohio by using interactive mapping and spatial analysis. Methods We conducted a retrospective cohort study using Ohio vital statistics records from 2008-2015. We geocoded live births and infant deaths by using residential address at birth. We used multivariable logistic regression to adjust spatial and space–time cluster analyses that examined the geographic clustering of infant mortality and preterm birth and changes in spatial distribution over time. Results The overall infant mortality rate in Ohio during the study period was 6.55 per 1000 births; of 1 097 507 births, 10.3% (n = 112 552) were preterm. We found significant geographic clustering of both infant mortality and preterm birth centered on large urban areas. However, when known demographic risk factors were taken into account, urban clusters disappeared and, for preterm birth, new rural clusters appeared. Conclusions Although many public health agencies have the capacity to create maps of health outcomes, complex spatial analysis and geovisualization techniques are still challenging for public health practitioners to use and understand. We found that actively engaging policymakers in reviewing results of the cluster analysis improved understanding of the processes driving spatial patterns of birth outcomes in the state.

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