scholarly journals Disturbance reinforces community assembly processes differentially across spatial scales

2020 ◽  
Author(s):  
Víctor M Escobedo ◽  
Rodrigo S Rios ◽  
Yulinka Alcayaga-Olivares ◽  
Ernesto Gianoli
Keyword(s):  
Species Richness ◽  
Literature Review ◽  
Conceptual Model ◽  
Spatial Scales ◽  
Meta Analysis ◽  
Functional Divergence ◽  
Small Scale ◽  
Functional Convergence ◽  
Functional Dispersion ◽  
Neighbourhood Scale

Abstract Background and Aims There is a paucity of empirical research and a lack of predictive models concerning the interplay between spatial scale and disturbance as they affect the structure and assembly of plant communities. We proposed and tested a trait dispersion-based conceptual model hypothesizing that disturbance reinforces assembly processes differentially across spatial scales. Disturbance would reinforce functional divergence at the small scale (neighbourhood), would not affect functional dispersion at the intermediate scale (patch) and would reinforce functional convergence at the large scale (site). We also evaluated functional and species richness of native and exotic plants to infer underlying processes. Native and exotic species richness were expected to increase and decrease with disturbance, respectively, at the neighbourhood scale, and to show similar associations with disturbance at the patch (concave) and site (negative) scales. Methods In an arid shrubland, we estimated species richness and functional dispersion and richness within 1 m2 quadrats (neighbourhood) nested within 100 m2 plots (patch) along a small-scale natural disturbance gradient caused by an endemic fossorial rodent. Data for the site scale (2500 m2 plots) were taken from a previous study. We also tested the conceptual model through a quantitative literature review and a meta-analysis. Key Results As spatial scale increased, disturbance sequentially promoted functional divergence, random trait dispersion and functional convergence. Functional richness was unaffected by disturbance across spatial scales. Disturbance favoured natives over exotics at the neighbourhood scale, while both decreased under high disturbance at the patch and site scales. Conclusions The results supported the hypothesis that disturbance reinforces assembly processes differentially across scales and hampers plant invasion. The quantitative literature review and the meta-analysis supported most of the model predictions.

Why are strangers trusted more during trade fairs? A literature review on the conceptual model of general trust formation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Minjiang Jia ◽  
Chunlin Wan
Keyword(s):  
Literature Review ◽  
Conceptual Model ◽  
Trade Fair ◽  
Small Scale ◽  
Content Type ◽  
General Trust ◽  
Trust Formation ◽  
Trust Propensity ◽  
The Impact ◽  
Business To Business

Purpose Considering that low-level general trust may hinder communication, this study aims to detect the factors that can influence general trust between exhibitors and visitors during business-to-business trade fairs. Design/methodology/approach Based on a literature review and stakeholders’ behavior analysis, a conceptual model of general trust formation between exhibitors and visitors is proposed. Findings The preconditions of strangers’ general trust patterns mainly include their early experience regarding trust, institutional trust in the environment and trust propensity. Stakeholders’ treatment, trust transfer, on-site restraints, reward and punishment expansion and on-site personnel arrangement may facilitate the formation of general trust between exhibitors and visitors. Research limitations/implications This paper is a conceptual article that requires further investigation to verify the main factors that influence general trust and the impact of general trust on other trust components between exhibitors and visitors. Practical implications Organizers, exhibitors and visitors should pay attention to participants’ selection, supervision, self-discipline and personnel management before and during trade fairs. International and small-scale, especially new trade fairs in developed and developing countries, must consider additional measures to improve general trust. Originality/value The existing literature has not focused on general trust in the trade fair context. In this paper, research on network and relationship marketing is further deepened in terms of a specific trust type. The interactions between stakeholders before and during fair may promote general trust among participants than in other settings, which partially explains why trade fair (even other two-sided markets) can increase social capital.

scholarly journals Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

2018 ◽  
Author(s):  
Jonathan M. Chase ◽  
Brian J. McGill ◽  
Daniel J. McGlinn ◽  
Felix May ◽  
Shane A. Blowes ◽  
...  
Keyword(s):  
Species Richness ◽  
Spatial Scales ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Scale Dependence ◽  
Negative Slope ◽  
Data Accessibility ◽  
Rarefaction Curves ◽  
Biodiversity Change

AbstractBecause biodiversity is multidimensional and scale-dependent, it is challenging to estimate its change. However, it is unclear (1) how much scale-dependence matters for empirical studies, and (2) if it does matter, how exactly we should quantify biodiversity change. To address the first question, we analyzed studies with comparisons among multiple assemblages, and found that rarefaction curves frequently crossed, implying reversals in the ranking of species richness across spatial scales. Moreover, the most frequently measured aspect of diversity—species richness—was poorly correlated with other measures of diversity. Second, we collated studies that included spatial scale in their estimates of biodiversity change in response to ecological drivers and found frequent and strong scale-dependence, including nearly 10% of studies which showed that biodiversity changes switched directions across scales. Having established the complexity of empirical biodiversity comparisons, we describe a synthesis of methods based on rarefaction curves that allow more explicit analyses of spatial and sampling effects on biodiversity comparisons. We use a case study of nutrient additions in experimental ponds to illustrate how this multi-dimensional and multi-scale perspective informs the responses of biodiversity to ecological drivers.Statement of AuthorshipJC and BM conceived the study and the overall approach, and all authors participated in multiple working group meetings to develop and refine the approach. BM collected the data for the meta-analysis that led to Fig. 2,3; JC collected the data for the metaanalysis that led to Figure 4 and S1; SB and FM did the analyses for Figures 2-4; DM, FM and XX wrote the code for the analysis used for the recipe and case study in Figure 6. JC, BM and NG wrote first drafts of most sections, and all authors contributed substantially to revisions.Figure 1.A. Individual-based rarefaction curves of three hypothetical communities (labelled A,B, C) where ranked differences between communities are consistent across scales. B. Individual-based rarefaction curves of three hypothetical communities (labelled A,B, C) where rankings between communities switch because of differences in the total numbers of species, and their relative abundances. Dotted vertical lines illustrate sampling scales where rankings switch. These curves were generated using the sim_sad function from the mobsim R package (May et al. 2018).Figure 2.Bivariate relationships between N, SPIE and S for 346 communities across the 37 datasets taken from McGill (2011b)(see Appendix 1). (A) S as a function of N; (B) S as a function of SPIE. (N vs SPIE not shown). Black lines depict the relationships across studies (and correspond to R2 fixed); colored points and lines show the relationships within studies. All axes are log-scale. Insets are histograms of the study-level slopes, with the solid line representing the slope across all studies. Gray bars indicate the study-level slope did not differ from zero, blue indicates a significant positive slope, and red indicates a significant negative slope.Figure 3.Representative rarefaction curves, the proportion of curves that crossed, and counts of how often curves crossed. (A) Rarefaction curves for different local communities within two datasets: marine invertebrates (nematodes) along a gradient from a waste plant outlet (Lambshead 1986), and trees in a Ugandan rainforest (Eggeling 1947); axes are log-transformed. (B) Counts of how many times pairs of rarefaction curves (from the same community) crossed; y-axis is on a log-scale.Data accessibility statementAll data for meta-analyses and case study will be deposited in a publically available repository with DOI upon acceptance (available in link for submission).

scholarly journals Vineyard Yield Estimation, Prediction, and Forecasting: A Systematic Literature Review

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1789
Author(s):  
André Barriguinha ◽  
Miguel de Castro Neto ◽  
Artur José Freire Gil
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Spatial Scales ◽  
Estimation Methods ◽  
Future Research ◽  
Small Scale ◽  
Success Factor ◽  
Yield Estimation ◽  
Estimation Errors ◽  
Prediction And Forecasting

Purpose—knowing in advance vineyard yield is a critical success factor so growers and winemakers can achieve the best balance between vegetative and reproductive growth. It is also essential for planning and regulatory purposes at the regional level. Estimation errors are mainly due to the high inter-annual and spatial variability and inadequate or poor performance sampling methods; therefore, improved applied methodologies are needed at different spatial scales. This paper aims to identify the alternatives to traditional estimation methods. Design/methodology/approach—this study consists of a systematic literature review of academic articles indexed on four databases collected based on multiple query strings conducted on title, abstract, and keywords. The articles were reviewed based on the research topic, methodology, data requirements, practical application, and scale using PRISMA as a guideline. Findings—the methodological approaches for yield estimation based on indirect methods are primarily applicable at a small scale and can provide better estimates than the traditional manual sampling. Nevertheless, most of these approaches are still in the research domain and lack practical applicability in real vineyards by the actual farmers. They mainly depend on computer vision and image processing algorithms, data-driven models based on vegetation indices and pollen data, and on relating climate, soil, vegetation, and crop management variables that can support dynamic crop simulation models. Research limitations—this work is based on academic articles published before June 2021. Therefore, scientific outputs published after this date are not included. Originality/value—this study contributes to perceiving the approaches for estimating vineyard yield and identifying research gaps for future developments, and supporting a future research agenda on this topic. To the best of the authors’ knowledge, it is the first systematic literature review fully dedicated to vineyard yield estimation, prediction, and forecasting methods.

Systematic Literature Review and Network Meta-analysis (NMA) of SGLT2i as Monotherapy for Type 2 Diabetes Mellitus (T2DM)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Meta Analysis

Religion and Religiosity: A Path to War or Peace

2018 ◽  
Vol 6 (2) ◽  
pp. 55-69
Author(s):  
Ghada Awada
Keyword(s):  
Qualitative Research ◽  
Literature Review ◽  
Research Method ◽  
Meta Analysis ◽  
Behavioral Model ◽  
Religious Violence ◽  
Religious Texts ◽  
Humanistic Approach ◽  
Research Findings ◽  
Divine Origin

Abstract The study was set to examine the differences between religion and religiosity and to explore how communities can be protected against religious violence. The study also intended to investigate the motives and the effect that religious violence has had throughout history. The study employed the qualitative research method whereby the researcher carried out a meta-analysis synthesis of different research findings to make conclusions and implications that could answer the study questions. Using the literature review they conducted, the researchers carried out data collection. As such, the researcher employed the bottom-up approach to identify the problem and the questions along with the investigation framework of what they decided to explore. The findings of the study revealed that religious backgrounds should be the cornerstone to realize the diff erence between religion and religiosity. Religion is of divine origin whereas religiosity is specifically a humanistic approach and a behavioral model. The religious violence phenomenon is formed by interlocking factors such as the interpretation of religious texts which clearly adopt thoughts and heritage full of violence camouflaged by religion. It is recommended that governments use a strong strategy employing the educational system, summits and dialogs to successfully overcome religious violence. The summits on religion should result in starting a dialog that ensures acceptance of the different religions.

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