Evidence-Based Causal Chains for Linking Health, Development, and Conservation Actions.
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ABSTRACT:
SUBMITTER: Qiu J
PROVIDER: S-EPMC6019009 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Increasing human pressure threatens plant and animal species with extinction worldwide. National political institutions constitute an important arena for biodiversity conservation. Yet, the relationship between how democratic these national institutions are and a country's efforts towards and track-record for biodiversity conservation remains poorly understood. In this review, we outline the theoretical links between democracy and biodiversity conservation and review the empirical literature testing them. While more studies reported a positive than a negative relation between democracy and biodiversity conservation (15 vs. 11), the most common result was a mixed relationship (28), often conditioned on economic factors. The use of different proxies to measure biodiversity, including deforestation, protected areas, threatened species, and fishery statistics emerged as a primary obstacle for synthesis. We suggest overcoming this caveat together with a consistent definition of democratic institutions and a standardized statistical framework as research priorities to improve policies against the global biodiversity loss.
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Project description:Marxan is the most common decision-support tool used to inform the design of protected-area systems. The original version of Marxan does not consider risk and uncertainty associated with threatening processes affecting protected areas, including uncertainty about the location and condition of species' populations and habitats now and in the future. We described and examined the functionality of a modified version of Marxan, Marxan with Probability. This software explicitly considers 4 types of uncertainty: probability that a feature exists in a particular place (estimated based on species distribution models or spatially explicit population models); probability that features in a site will be lost in the future due to a threatening process, such as climate change, natural catastrophes, and uncontrolled human interventions; probability that a feature will exist in the future due to natural successional processes, such as a fire or flood; and probability the feature exists but has been degraded by threatening processes, such as overfishing or pollution, and thus cannot contribute to conservation goals. We summarized the results of 5 studies that illustrate how each type of uncertainty can be used to inform protected area design. If there were uncertainty in species or habitat distribution, users could maximize the chance that these features were represented by including uncertainty using Marxan with Probability. Similarly, if threatening processes were considered, users minimized the chance that species or habitats were lost or degraded by using Marxan with Probability. Marxan with Probability opens up substantial new avenues for systematic conservation planning research and application by agencies.
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| S-EPMC10092027 | biostudies-literature
Project description:Diverse discrete systems share common global properties that lack a unifying theoretical explanation. However, constraining the simplest measure of total information (Hartley-Shannon) in a statistical mechanics framework reveals a principle, the conservation of Hartley-Shannon information (CoHSI) that directly predicts both known and unsuspected common properties of discrete systems, as borne out in the diverse systems of computer software, proteins and music. Discrete systems fall into two categories distinguished by their structure: heterogeneous systems in which there is a distinguishable order of assembly of the system's components from an alphabet of unique tokens (e.g. proteins assembled from an alphabet of amino acids), and homogeneous systems in which unique tokens are simply binned, counted and rank ordered. Heterogeneous systems are characterized by an implicit distribution of component lengths, with sharp unimodal peak (containing the majority of components) and a power-law tail, whereas homogeneous systems reduce naturally to Zipf's Law but with a drooping tail in the distribution. We also confirm predictions that very long components are inevitable for heterogeneous systems; that discrete systems can exhibit simultaneously both heterogeneous and homogeneous behaviour; and that in systems with more than one consistent token alphabet (e.g. digital music), the alphabets themselves show a power-law relationship.
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Project description:Urbanization-driven landscape changes are harmful to many species. Negative effects can be mitigated through habitat preservation and restoration, but it is often difficult to prioritize these conservation actions. This is due, in part, to the scarcity of species response data, which limit the predictive accuracy of modeling to estimate critical thresholds for biological decline and recovery. To address these challenges, we quantify effort required for restoration, in combination with a clear conservation objective and associated metric (e.g., habitat for focal organisms). We develop and apply this framework to coho salmon (Oncorhynchus kisutch), a highly migratory and culturally iconic species in western North America that is particularly sensitive to urbanization. We examine how uncertainty in biological parameters may alter locations prioritized for conservation action and compare this to the effect of shifting to a different conservation metric (e.g., a different focal salmon species). Our approach prioritized suburban areas (those with intermediate urbanization effects) for preservation and restoration action to benefit coho. We found that prioritization was most sensitive to the selected metric, rather than the level of uncertainty or critical threshold values. Our analyses highlight the importance of identifying metrics that are well-aligned with intended outcomes.
| S-EPMC7804858 | biostudies-literature
Project description:Since the introduction of evidence-based medicine, there have been discussions about the epistemic primacy of randomised controlled trials (RCTs) for establishing causality in medicine and public health. A growing movement within philosophy of science calls instead for evidential pluralism: that we need more than one single method to investigate health outcomes. How should such evidential pluralism look in practice? How useful are the various methods available for causal inquiry? Further, how should different types of causal evidence be evaluated? This paper proposes a constructive answer and introduces a framework aimed at supporting scientists in developing appropriate methodological approaches for exploring causality. We start from the philosophical tradition that highlights intrinsic properties (dispositions, causal powers or capacities) as essential features of causality. This abstract idea has wide methodological implications. The paper explains how different methods, such as lab experiments, case studies, N-of-1 trials, case control studies, cohort studies, RCTs and patient narratives, all have some strengths and some limitations for picking out intrinsic causal properties. We explain why considering philosophy of causality is crucial for evaluating causality in the health sciences. In our proposal, we combine the various methods in a temporal process, which could then take us from an observed phenomenon (e.g., a correlation) to a causal hypothesis and, finally, to improved theoretical knowledge.
| S-EPMC7142708 | biostudies-literature
Project description:Carnivore predation on livestock often leads people to retaliate. Persecution by humans has contributed strongly to global endangerment of carnivores. Preventing livestock losses would help to achieve three goals common to many human societies: preserve nature, protect animal welfare, and safeguard human livelihoods. Between 2016 and 2018, four independent reviews evaluated >40 years of research on lethal and nonlethal interventions for reducing predation on livestock. From 114 studies, we find a striking conclusion: scarce quantitative comparisons of interventions and scarce comparisons against experimental controls preclude strong inference about the effectiveness of methods. For wise investment of public resources in protecting livestock and carnivores, evidence of effectiveness should be a prerequisite to policy making or large-scale funding of any method or, at a minimum, should be measured during implementation. An appropriate evidence base is needed, and we recommend a coalition of scientists and managers be formed to establish and encourage use of consistent standards in future experimental evaluations.
| S-EPMC6143182 | biostudies-literature
Project description:Promoting child wellbeing necessarily goes beyond the clinic as risks to child health and development are embedded in the social and physical environmental conditions in which children live. Pediatricians play a vital role in promoting the health of children in the communities they serve and can maximize their impact by advocating for and supporting efficacious, evidence-based strategies in their communities.To provide a succinct guide for community pediatric efforts to advance the wellbeing of all children and particularly disadvantaged children in a community, we conducted a theory-driven and structured narrative review to synthesize published systematic and meta-analytic reviews of policy-relevant, local-level strategies addressing potent and malleable influences on child health and development. An exhaustive list of policy-relevant, local-level strategies for improving child health was used to conduct a comprehensive search of recent (1990-2012), English language peer-reviewed published meta-analyses and systematic reviews in the 10 core databases of scientific literature. Our review of the literature encompassed six key conceptual domains of intervention foci, including distal influences of child health (i.e., income and resources, social cohesion, and physical environment) and proximal influences (i.e., family, school and peer). We examined intervention effects on four key domains of child health and development: cognitive development, social and emotional competence, psychological and behavioral wellbeing, and physical health.Published reviews were identified for 98 distinct policy-relevant community interventions, evaluated across 288 outcomes. We classified 46 strategies as meeting scientific criteria for efficacy by having consistent, positive outcomes from high-quality trials (e.g., tenant-based rental assistance, neighborhood watch programs, urban design and land use policies, access to quality childcare services, class size reductions, after-school programs that promote personal/social skills). Another 21 strategies were classified as having consistent evidence of positive outcomes from high-quality observational studies only, while 28 strategies had insufficient evidence available to assess their effectiveness based on published reviews. We did not limit the review to studies conducted in the United States, but the vast majority of them were U.S.-based, and the results therefore are most applicable to the U.S. context.Based on our synthesis of published literature on community development strategies, we provide an illustration combining a comprehensive set of evidence-based strategies to promote child health and development across a wide-range of child health outcomes.
| S-EPMC4016148 | biostudies-other
Project description:IntroductionMost of the EBP measuring instruments available to date present limitations both in the operationalisation of the construct and also in the rigour of their psychometric development, as revealed in the literature review performed. The aim of this paper is to provide rigorous and adequate reliability and validity evidence of the scores of a new transdisciplinary psychometric tool, the Health Sciences Evidence-Based Practice (HS-EBP), for measuring the construct EBP in Health Sciences professionals.MethodsA pilot study and a subsequent two-stage validation test sample were conducted to progressively refine the instrument until a reduced 60-item version with a five-factor latent structure. Reliability was analysed through both Cronbach's alpha coefficient and intraclass correlations (ICC). Latent structure was contrasted using confirmatory factor analysis (CFA) following a model comparison aproach. Evidence of criterion validity of the scores obtained was achieved by considering attitudinal resistance to change, burnout, and quality of professional life as criterion variables; while convergent validity was assessed using the Spanish version of the Evidence-Based Practice Questionnaire (EBPQ-19).ResultsAdequate evidence of both reliability and ICC was obtained for the five dimensions of the questionnaire. According to the CFA model comparison, the best fit corresponded to the five-factor model (RMSEA = 0.049; CI 90% RMSEA = [0.047; 0.050]; CFI = 0.99). Adequate criterion and convergent validity evidence was also provided. Finally, the HS-EBP showed the capability to find differences between EBP training levels as an important evidence of decision validity.ConclusionsReliability and validity evidence obtained regarding the HS-EBP confirm the adequate operationalisation of the EBP construct as a process put into practice to respond to every clinical situation arising in the daily practice of professionals in health sciences (transprofessional). The tool could be useful for EBP individual assessment and for evaluating the impact of specific interventions to improve EBP.
| S-EPMC5423642 | biostudies-literature
Project description:ObjectiveThis study reports the use of exploratory factor analysis to describe essential skills and knowledge for an important segment of the domestic public health workforce-Centers for Disease Control and Prevention (CDC) project officers-using an evidence-based approach to competency development and validation.DesignA multicomponent survey was conducted. Exploratory factor analysis was used to examine the underlying domains and relationships between competency domains and key behaviors. The Cronbach α coefficient determined the reliability of the overall scale and identified factors.Setting and participantsAll domestic (US state, tribe, local, and territorial) grantees who received funding from the CDC during fiscal year 2011 to implement nonresearch prevention or intervention programs were invited to participate in a Web-based questionnaire.Main outcome measure(s)A total of 34 key behaviors representing knowledge, skills, and abilities, grouped in 7 domains-communication, grant administration and management, public health applied science and knowledge, program planning and development, program management, program monitoring and improvement, and organizational consultation-were examined.ResultsThere were 795 responses (58% response rate). A total of 6 factors were identified with loadings of 0.40 or more for all 34 behavioral items. The Cronbach α coefficient was 0.95 overall and ranged between 0.73 and 0.91 for the factors.ConclusionsThis study provides empirical evidence for the construct validity of 6 competencies and 34 key behaviors important for CDC project officers and serves as an important first step to evidence-driven workforce development efforts in public health.
| S-EPMC5614504 | biostudies-literature