Search or ask a question

How does understanding demographics contribute to resilience engineering?

Resistance (ecology)

Resilience (network)

Disturbance (geology)

Ecological resilience

Best insight from top research papers

Understanding demographics plays a crucial role in resilience engineering by providing insights into how species or populations can resist and recover from disturbances . Demographic factors such as life history traits, generation times, and reproductive strategies are key determinants of resilience in natural populations . For instance, species with longer generation times may require extended recovery periods post-disturbance, while those with higher reproductive capacities exhibit greater resistance and compensation abilities . By analyzing demographic data, researchers can predict how populations cope with disturbance regimes, facilitating cost-effective management decisions and enhancing overall resilience in the face of global change . This understanding of demographics is essential for developing effective strategies to mitigate the impacts of disturbances and ensure the long-term survival of species in a changing environment.

Answers from top 4 papers

PDF

Open Access

More filters

Papers (4)	Insight
Journal Article•DOI Demographic Resilience: Linking Population Dynamics, the Environment, and Security Roger-Mark De Souza 01 Jan 2015-SAIS Review 4 Citations	Understanding demographics contributes to resilience engineering by enhancing "demographic resilience," aiding in planning for climate change shocks, and mitigating factors that trigger conflicts, as highlighted in the paper.
Open access•Journal Article•DOI Towards a Comparative Framework of Demographic Resilience Pol Capdevila, Iain Stott, Maria Beger, Roberto Salguero-Gómez - Show less +3 more 01 Sep 2020-Trends in Ecology and Evolution 55 Citations	Understanding demographics contributes to resilience engineering by providing a framework and metrics to quantify and compare resilience at the demographic level, aiding in predicting species responses to global change.
Open access•Posted Content•DOI Towards a comparative framework of demographic resilience Pol Capdevila, Iain Stott, Maria Beger, Roberto Salguero-Gómez - Show less +3 more 04 Feb 2020-bioRxiv 22 Citations	Understanding demographics contributes to resilience engineering by providing a quantifiable framework for measuring and comparing resilience across species, aiding in cost-effective management decisions in the face of global change.
Open access•Journal Article•DOI Life history mediates the trade‐offs among different components of demographic resilience Sylvain Thibeau 25 Mar 2022-Ecology Letters 8 Citations	Understanding demographics, specifically life history traits, predicts species' resilience by influencing compensation, resistance, and recovery abilities post-disturbance, aiding in predicting how populations cope with disturbances.

My columns

Related Questions

How does the essence of the respondent demographic impact the credibility of the study?4 answersThe demographic characteristics of respondents play a crucial role in influencing the credibility of a study. Research indicates that different age groups and occupations exhibit varying levels of vulnerability to misinformation. For instance, individuals over 65 years old were found to be more susceptible to false information shared via WhatsApp in a developing country, highlighting the impact of demographics on belief in misinformation. Additionally, the study emphasizes that the presence of an attached link or source falsely validating incorrect messages significantly enhances their credibility, leading to a higher likelihood of being perceived as true. These findings underscore the importance of considering respondent demographics in evaluating the credibility and reliability of study outcomes.

How to quantify resilience in populations again climate change?4 answersResilience in populations against climate change can be quantified by considering several factors. These factors include the sensitivity of populations to environmental perturbations, their ability to recover from such perturbations, and the presence of sufficient and connected habitat. Additionally, the genotype-by-environment interactions (G × E) can be used to characterize patterns of among-population variation in environmental sensitivity. Other important factors to consider are the socio-demographic conditions, economics, natural resource use/dependence, governance and policy, and culture. The measurement of climate resilience can be done using Geographic Information Systems (GIS) and by integrating social and ecological factors. It is also crucial to understand the rate, type, magnitude, and spatial pattern of climate-induced changes, as well as the extent and type of phenotypic plasticity and the amount and distribution of adaptive genetic variation. By considering these factors, we can gain a better understanding of the resilience and probabilities of persistence of populations and species in the face of climate change.

What are the demographic factors?5 answersDemographic factors refer to characteristics of a population that can be used to analyze and understand various aspects of society. The abstracts provided discuss different demographic factors in various contexts. The factors mentioned include age, sex/gender, level of education, marital status, employment status, race/ethnicity, insurance type, and family size. These factors have been studied in relation to various outcomes such as wage determination, beliefs about parenting, substance use disorders, and vaccine refusal. The studies highlight the importance of considering demographic factors when analyzing and addressing social issues.

What is the importance of knowing the sex in demographics?2 answersKnowing the sex in demographics is important for several reasons. Firstly, it allows researchers to address issues of bias and population representation, ensuring that existing societal inequalities are not exacerbated. Secondly, the distribution of the population by sex and age is a crucial demographic grouping that plays a significant role in assessing the level of development of the economy and culture of a society. Additionally, gender is recognized as an important factor in demographic analysis, but capturing its full effects remains a challenge, especially at the community or societal levels. Finally, demography has a long tradition of sex-specific data gathering, as gender relations permeate every aspect of societies and contribute to inequalities, making it essential to measure and understand these dynamics.

How demographic data help in policy making?5 answersDemographic data plays a crucial role in policy making. It complements surveys and censuses, providing a more comprehensive understanding of the population and its needs. Policy makers rely on demographic data to plan and operate programs, modify performance standards, and evaluate the impact of policies. While political considerations may initially take precedence, the cumulative effect of demographic data over time can shape policy decisions. Demographic knowledge is essential for evidence-based policymaking, providing basic information for social research and informing decision making at both the state and local levels. Understanding the availability and quality of demographic data is crucial for designing effective government benefit programs. Overall, demographic data helps policy makers make informed decisions, understand societal trends, and address the needs of the population.

How demographic data help make public policies?4 answersDemographic data help make public policies by providing valuable information for analysis and forecasting. Understanding the demographic factors such as age, race, and socioeconomic status allows policymakers to assess the impact of policies on different groups and address issues of bias and inequality. Demographics also play a crucial role in market analysis, helping businesses identify consumer trends and labor market dynamics. In the field of demography and public health, demographic information is essential for studying differences across various groups and ensuring population representation. Additionally, the availability of digital data from social media platforms has enabled researchers to infer demographic details, aiding in addressing societal inequalities and biases. Overall, demographic data provide a comprehensive understanding of societies and economies, enabling policymakers to evaluate the effectiveness of public policies and make informed decisions.

See what other people are reading

What are the current research findings on the role of microbiota in the gut of fish?

Research findings indicate that the gut microbiota of fish plays a crucial role in their health, growth, and overall performance. Studies have shown that the composition of the gut microbiota can be influenced by various factors such as pathogenic infections, dietary interventions with prebiotics, and changes in the aquatic environment. The gut microbiome of fish is associated with functions like nutrient metabolism, immune response, and disease resistance. Additionally, the gut microbiota composition can serve as a biomarker for stress and health status in fish. Understanding the dynamics of the gut microbiota in fish is essential for optimizing aquaculture practices and promoting sustainable growth in the fish industry.How can i use anthro robots for regenerative medicine?

Anthrobots, derived from adult human lung cells, represent a novel platform for regenerative medicine. These multicellular biobots exhibit diverse morphologies and behaviors, capable of traversing human tissues and inducing repair in neural cell sheets. In the field of regenerative medicine for musculoskeletal conditions, robotics and automation technologies play a crucial role in cell culturing, scaffold fabrication, imaging, and process monitoring. Additionally, humanoid robots have the potential to enhance the growth of musculoskeletal tissue grafts for transplant applications. By harnessing the inherent plasticity of non-genetically modified human cells, Anthrobots offer a promising avenue for developing pro-regenerative therapeutics that can navigate human tissues and promote repair without triggering rejection. Integrating Anthrobots with advanced robotic and automated technologies can revolutionize regenerative medicine by providing cost-effective and efficient solutions for tissue repair and replacement.What essential oils are antidiuretic?

Cymbopogon jwarancusa, Cymbopogon densiflorus, and Thymus Schimperi essential oils have been found to exhibit diuretic properties in various studies. C. jwarancusa essential oil demonstrated significant diuretic activity at 500 mg/kg after both single and multi-dose administration. Similarly, the essential oil of C. densiflorus, particularly at 150 mg/kg, showed notable diuretic effects comparable to furosemide. Additionally, the essential oil extract of T. Schimperi leaves exhibited diuretic activity, with the aqueous extract showing positive effects on urine volume and electrolyte excretion in rats. These findings highlight the potential of these essential oils as diuretic agents, offering insights into their traditional uses in managing various conditions related to fluid balance and hypertension.What is block chain?

Blockchain is a decentralized peer-to-peer distributed system that ensures secure transactions and data exchange. It has gained significant attention due to its characteristics like decentralization, transparency, and data security, making it suitable for various applications in fields such as finance, healthcare, and supply chain management. Blockchain technology utilizes community validation to synchronize ledgers across multiple users, enabling secure and tamper-proof data sharing. In the context of smart vehicles, blockchain is proposed as a solution to enhance security and privacy by protecting user data and securing the vehicular ecosystem against potential threats like location tracking and remote hijacking. Overall, blockchain revolutionizes data and business process management by providing a secure and transparent platform for transactions and information exchange.Issues and challenges faced by aquaculture regionally as well as globally

Aquaculture faces various challenges globally and regionally. Globally, the sector grapples with technical, economic, and regulatory hurdles, such as developing efficient grow-out systems and feeds, integrating into global supply chains, and ensuring streamlined permitting and environmental oversight. Regionally, constraints on suitable aquaculture areas, environmental considerations, and social implications pose significant challenges for sustainable development and expansion of the industry. Disease outbreaks also present a major risk, with global economic impacts estimated at $6 billion annually, emphasizing the need for effective disease management strategies and tools. Additionally, the sector must navigate complexities related to water quality, habitat preservation, and social interactions to ensure responsible and sustainable aquaculture practices.What is EDCs?

Endocrine-disrupting chemicals (EDCs) are compounds like plasticizers, insecticides, detergents, and medications that interfere with hormone-regulated pathways in organisms, affecting development and reproduction. EDCs, often lipophilic, can bind to steroid receptors such as the estrogen and androgen receptors, leading to various health issues like early puberty, malignancies, obesity, and reproductive dysfunctions in both humans and wildlife. These chemicals can mimic or disrupt natural hormone functions, posing risks during critical developmental stages and reproductive processes. Understanding the effects of EDCs is crucial due to their potential to impact survival and overall health. Research on EDCs highlights the importance of monitoring and regulating these substances to mitigate their adverse effects on ecosystems and human health.What do the great resignation and quiet quitting have in common?

The Great Resignation and Quiet Quitting share commonalities in the context of workforce dynamics post-pandemic. Both phenomena reflect significant shifts in employee attitudes and behaviors, leading to a surge in resignations and job changes across various sectors. The Great Resignation, characterized by mass resignations globally, has been fueled by factors like burnout, turnover intention, and disengagement. On the other hand, Quiet Quitting emphasizes a more subtle departure from traditional work structures, prompting organizations to rethink their human resource strategies. These trends underscore a fundamental reevaluation of work-life balance, job satisfaction, and organizational loyalty in the wake of the COVID-19 pandemic. The convergence of these trends signals a transformative period for employers and employees alike, shaping the future of work dynamics.Why have mitochondrial DNA more G-C pairs than A-T pairs?

Mitochondrial DNA tends to have more G-C pairs than A-T pairs due to the influence of mitochondrial haplogroups. Research has shown that certain haplogroups, such as haplogroup G, are associated with an increased risk of metabolic syndromes like nonalcoholic fatty liver disease (NAFLD). Additionally, specific mutations in mitochondrial DNA, like the m.16189T>C variant, have been linked to metabolic syndromes, although in this case, it was considered a polymorphism rather than a disease-causing mutation. Furthermore, mutations in mitochondrial genes, such as the m.3685T > C variant in the MT-ND1 gene, can lead to mitochondrial dysfunction and diseases like Leigh syndrome. These genetic variations and mutations contribute to the prevalence of G-C pairs in mitochondrial DNA, impacting mitochondrial function and disease susceptibility.How drone motor control delay affect performances?

Drone motor control delay significantly impacts performance. Studies show that delays of up to 1.2 seconds can be handled by controllers without adaptive tuning, but longer delays lead to decreased gains and slower mission completion. Human performance degradation is noticeable with delays as low as 100 ms, with delays of 250-300 ms making airplane handling qualities unacceptable. A new control structure for fully actuated systems addresses regulation and trajectory tracking by canceling current disturbances with estimated delayed disturbances, enhancing disturbance attenuation. Time delay dynamics in UAV controller design affect trajectory generation, with delays increasing dynamics impact, especially in vision-based navigation systems. Considering time delays in controller design leads to more stable systems and improved tracking accuracy, crucial for optimal drone performance.What is motor imagery training?

Motor imagery training (MIT) is a cognitive exercise used in motor rehabilitation, where individuals mentally rehearse actions without physically executing them. MIT leverages brain-computer interfaces (BCIs) to interpret human brain signals during motor tasks, aiding in regaining movement control, especially in paralyzed individuals. MIT has shown effectiveness in improving hemiplegic upper limb function in stroke rehabilitation by inducing functional neuroplasticity in the motor network. Additionally, MIT has been beneficial for older adults, including those over 80 years, by enhancing the memorization of new motor skills acquired through physical practice, thus complementing traditional rehabilitation protocols. MIT's ability to improve performance and support motor memory processes makes it a valuable tool in rehabilitation and skill acquisition across different age groups.What is mismatched disturbance?

Mismatched disturbance refers to disturbances in a system that are not accounted for or directly measured in the control design, leading to potential performance degradation or instability. In the context of vehicle platoons and power converters, mismatched disturbances such as velocity and acceleration disturbances in platoons, uncertainties in DC-DC boost converters, and load mutations in solar electric vehiclesare considered. Strategies like finite-time disturbance observers, robust H∞ control with mismatched disturbance compensation, and repetitive control with mismatched disturbance observers are proposed to estimate and counteract these disturbances, enhancing system robustness and performance. These approaches aim to mitigate the impact of mismatched disturbances on system stability and control effectiveness.