scholarly journals The Implications of Field Worker Characteristics and Landscape Heterogeneity for Classification Correctness and the Completeness of Topographical Mapping

2018 ◽  
Vol 7 (6) ◽  
pp. 205 ◽  
Author(s):  
Kiira Mõisja ◽  
Evelyn Uuemaa ◽  
Tõnu Oja
Keyword(s):  
Landscape Heterogeneity ◽  
Field Worker ◽  
Worker Characteristics ◽  
Topographical Mapping

Navigation by Judgment

2018 ◽  
Author(s):  
Dan Honig
Keyword(s):  
Foreign Aid ◽  
Aid Effectiveness ◽  
Field Worker

When should foreign aid organizations empower actors on the front lines of delivery to rely on their judgment to guide aid interventions, and when should distant headquarters lead? Understanding how best to manage the implementation of aid projects matters both for aid effectiveness and for what it tells us about the more general tension between central versus field worker control in organizations.

scholarly journals Ecological Connectivity in Agricultural Green Infrastructure:  Suggested Criteria for Fine Scale Assessment and Planning

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 807
Author(s):  
Simone Valeri ◽  
Laura Zavattero ◽  
Giulia Capotorti
Keyword(s):  
Land Cover ◽  
Green Infrastructure ◽  
Rural Areas ◽  
Urban Areas ◽  
Landscape Heterogeneity ◽  
Agricultural Landscapes ◽  
Spatial Pattern Analysis ◽  
Fine Scale ◽  
Unique Type

In promoting biodiversity conservation and ecosystem service capacity, landscape connectivity is considered a critical feature to counteract the negative effects of fragmentation. Under a Green Infrastructure (GI) perspective, this is especially true in rural and peri-urban areas where a high degree of connectivity may be associated with the enhancement of agriculture multifunctionality and sustainability. With respect to GI planning and connectivity assessment, the role of dispersal traits of tree species is gaining increasing attention. However, little evidence is available on how to select plant species to be primarily favored, as well as on the role of landscape heterogeneity and habitat quality in driving the dispersal success. The present work is aimed at suggesting a methodological approach for addressing these knowledge gaps, at fine scales and for peri-urban agricultural landscapes, by means of a case study in the Metropolitan City of Rome. The study area was stratified into Environmental Units, each supporting a unique type of Potential Natural Vegetation (PNV), and a multi-step procedure was designed for setting priorities aimed at enhancing connectivity. First, GI components were defined based on the selection of the target species to be supported, on a fine scale land cover mapping and on the assessment of land cover type naturalness. Second, the study area was characterized by a Morphological Spatial Pattern Analysis (MSPA) and connectivity was assessed by Number of Components (NC) and functional connectivity metrics. Third, conservation and restoration measures have been prioritized and statistically validated. Notwithstanding the recognized limits, the approach proved to be functional in the considered context and at the adopted level of detail. Therefore, it could give useful methodological hints for the requalification of transitional urban–rural areas and for the achievement of related sustainable development goals in metropolitan regions.

scholarly journals Landscape heterogeneity buffers biodiversity of simulated meta-food-webs under global change through rescue and drainage effects

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Remo Ryser ◽  
Myriam R. Hirt ◽  
Johanna Häussler ◽  
Dominique Gravel ◽  
Ulrich Brose
Keyword(s):  
Habitat Fragmentation ◽  
Food Web ◽  
Food Webs ◽  
Landscape Heterogeneity ◽  
Landscape Connectivity ◽  
Biodiversity Loss ◽  
Mechanistic Explanation ◽  
Population Densities ◽  
Rescue Effect ◽  
Drainage Effect

AbstractHabitat fragmentation and eutrophication have strong impacts on biodiversity. Metacommunity research demonstrated that reduction in landscape connectivity may cause biodiversity loss in fragmented landscapes. Food-web research addressed how eutrophication can cause local biodiversity declines. However, there is very limited understanding of their cumulative impacts as they could amplify or cancel each other. Our simulations of meta-food-webs show that dispersal and trophic processes interact through two complementary mechanisms. First, the ‘rescue effect’ maintains local biodiversity by rapid recolonization after a local crash in population densities. Second, the ‘drainage effect’ stabilizes biodiversity by preventing overshooting of population densities on eutrophic patches. In complex food webs on large spatial networks of habitat patches, these effects yield systematically higher biodiversity in heterogeneous than in homogeneous landscapes. Our meta-food-web approach reveals a strong interaction between habitat fragmentation and eutrophication and provides a mechanistic explanation of how landscape heterogeneity promotes biodiversity.

Landscape Heterogeneity and Disturbance

Ecology ◽  
1989 ◽  
Vol 70 (1) ◽  
pp. 292-293
Author(s):  
Norman L. Christensen
Keyword(s):  
Landscape Heterogeneity

scholarly journals Spatiotemporal Variation in Ecosystem Services and Their Drivers among Different Landscape Heterogeneity Units and Terrain Gradients in the Southern Hill and Mountain Belt, China

2021 ◽  
Vol 13 (7) ◽  
pp. 1375
Author(s):  
Liang-Jie Wang ◽  
Shuai Ma ◽  
Jiang Jiang ◽  
Yu-Guo Zhao ◽  
Jin-Chi Zhang
Keyword(s):  
Ecosystem Services ◽  
Soil Conservation ◽  
Net Primary Productivity ◽  
Landscape Heterogeneity ◽  
Driving Factors ◽  
Water Yield ◽  
Invest Model ◽  
Casa Model ◽  
Mountain Belt ◽  
Integrated Valuation

Understanding the spatiotemporal heterogeneity of ecosystem services (ESs) and their drivers in mountainous areas is important for sustainable ecosystem management. However, the effective construction of landscape heterogeneous units (LHUs) to reflect the spatial characteristics of ESs remains to be studied. The southern hill and mountain belt (SHMB) is a typical mountainous region in China, with undulating terrain and obvious spatial heterogeneity of ESs, and was selected as the study area. In this study, we used the fuzzy k-means (FKM) algorithm to establish LHUs. Three major ESs (water yield, net primary productivity (NPP), and soil conservation) in 2000 and 2015 were quantified using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and Carnegie Ames-Stanford approach (CASA) model. Then, we explored the spatial variation in ESs along terrain gradients and LHUs. Correlation analysis was used to analyze the driving factors of ESs in each terrain region and LHU. The results showed that altitude and terrain niche increased along LHUs. Water yield and soil conservation increased from 696.86 mm and 3920.19 t/km2 to 1061.12 mm and 5117.90 t/km2, respectively, while NPP decreased from 666.95 gC/m2 to 648.86 gC/m2. The ESs in different LHUs differed greatly. ESs increased first and then decreased along LHUs in 2000. In 2015, water yield decreased along LHUs, while NPP and soil conservation showed a fluctuating trend. Water yield was mainly affected by precipitation, temperature and NDVI were the main drivers of NPP, and soil conservation was greatly affected by precipitation and slope. The driving factors of the same ES were different in different terrain areas and LHUs. The variation and driving factors of ESs in LHUs were similar to some terrain gradients. To some extent, LHUs can represent multiple terrain features. This study can provide important support for mountain ecosystem zoning management and decision-making.

scholarly journals Risk of Future Maltreatment: Examining Whether Worker Characteristics Predict Their Perception

2021 ◽  
pp. 107755952110314
Author(s):  
Kristen Lwin ◽  
Joanne Filippelli ◽  
Barbara Fallon ◽  
Jason King ◽  
Nico Trocmé
Keyword(s):  
Logistic Regression ◽  
Child Welfare ◽  
Secondary Data ◽  
Well Being ◽  
Child Welfare System ◽  
Welfare System ◽  
Child Welfare Workers ◽  
Perception Of Risk ◽  
Worker Characteristics ◽  
Welfare Workers

Child welfare workers aim to promote the well-being and safety of children and are the link between the child welfare system and families. Families served by the child welfare system should expect similar service based on clinical factors, not based on their caseworker’s characteristics. Using secondary data analyses of the most recent Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-2008) and multilevel modeling, this study examines whether child welfare worker characteristics, such as education level and field, age, and experience predict their perception of the risk of future maltreatment. A total of 1729 case-level investigations and 419 child welfare workers were included in this study. Several one-level logistic regression and two-level logistic regression analyses were run. The best-fit model suggests that caseworkers with a Master’s degree, more than 2 years of experience, and more than 18 cases were significantly more likely to perceive risk of future maltreatment. Further, the interaction between degree level and age also significantly predicted the perception of risk of future maltreatment. Results suggest that the perception of risk of future maltreatment may be influenced by caseworker factors, thus service to families may differ based on caseworker characteristics.

Dealing with ‘vulnerable workers’ in precarious employment: Front-line constraints and strategies in employment standards enforcement

2020 ◽  
pp. 0143831X2090914
Author(s):  
Alan Hall ◽  
Rebecca Hall ◽  
Nicole Bernhardt
Keyword(s):  
Labour Market ◽  
Labour Force ◽  
Front Line ◽  
Canadian Province ◽  
Precarious Employment ◽  
Employment Relationships ◽  
The Core ◽  
Worker Characteristics ◽  
Employment Standards ◽  
Vulnerable Workers

Individual worker complaints continue to be the core foundation of employment standards enforcement in many Western jurisdictions, including the Canadian province of Ontario. In the contemporary labour market context where segments of the labour force may be disproportionately impacted by rights violations, and employment relationships are more diverse and often more tenuous than previously, the continued reliance on individual claims suggests a need to better understand the challenges associated with the investigation and resolution of claims involving ‘vulnerable workers’ in precarious employment situations. Using interviews with front-line Ontario employment standards officers (ESOs), this article examines the extent to which certain worker characteristics and employment situations perceived by officers as ‘vulnerable’ are identified by officers as significant constraints or barriers to investigation processes and outcomes, and documents whether and how officers address these constraints and barriers. The analysis also identifies the perceived influence of policy, resource and legislative requirements in shaping how officers deal with the more difficult and challenging cases, while also considering the extent to which the officers’ actions are understood by them as discretionary and guided by their particular orientations or concerns. In so doing, this article reveals challenges to the resolution of claims in precarious employment situations, the very place where employment standards are often most needed.

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