Integrating social and ecological data to model metapopulation dynamics in coupled human and natural systems.

08:00 EDT 30th March 2019 | BioPortfolio

Summary of "Integrating social and ecological data to model metapopulation dynamics in coupled human and natural systems."

Understanding how metapopulations persist in dynamic working landscapes requires assessing the behaviors of key actors that change patches as well as intrinsic factors driving turnover. Coupled human and natural systems (CHANS) research uses a multidisciplinary approach to identify the key actors, processes, and feedbacks that drive metapopulation and landscape dynamics. We describe a framework for modeling metapopulations in CHANS that integrates ecological and social data by coupling stochastic patch occupancy models of metapopulation dynamics with agent-based models of land-use change. We then apply this framework to metapopulations of the threatened black rail (Laterallus jamaicensis) and widespread Virginia rail (Rallus limicola) that inhabit patchy, irrigation-fed wetlands in the rangelands of the California Sierra Nevada foothills. We collected data from five diverse sources (rail occupancy surveys, land-use change mapping, a survey of landowner decision-making, climate and reservoir databases, and mosquito trapping and West Nile virus testing) and integrated them into an agent-based stochastic patch occupancy model. We used the model to: (1) quantify the drivers of metapopulation dynamics, and the potential interactions and feedbacks among them; (2) test predictions of the behavior of metapopulations in dynamic working landscapes, and (3) evaluate the impact of three policy options on metapopulation persistence (irrigation district water cutbacks during drought, incentives for landowners to create wetlands, and incentives for landowners to protect wetlands). Complex metapopulation dynamics emerged when landscapes functioned as CHANS, highlighting the importance of integrating human activities and other ecological processes into metapopulation models. Rail metapopulations were strongly top-down regulated by precipitation, and the black rail's decade-long decline was caused by the combination of West Nile virus and drought. Theoretical predictions of the two metapopulations' responses to dynamic landscapes and incentive programs were complicated by heterogeneity in patch quality and CHANS couplings, respectively. Irrigation cutbacks during drought posed a serious extinction risk that neither incentive policy effectively ameliorated. This article is protected by copyright. All rights reserved.


Journal Details

This article was published in the following journal.

Name: Ecology
ISSN: 1939-9170
Pages: e02711


DeepDyve research library

PubMed Articles [30183 Associated PubMed Articles listed on BioPortfolio]

The importance and adaptive value of life-history evolution for metapopulation dynamics.

The spatial configuration and size of patches influence metapopulation dynamics by altering colonisation-extinction dynamics and local density dependency. This spatial forcing as determined by the met...

Integration of social and ecological sciences for natural resource decision making: challenges and opportunities.

The last 25 years have witnessed growing recognition that natural resource management decisions depend as much on understanding humans and their social interactions as on understanding the interaction...

Multiscale socio-ecological networks in the age of information.

Interactions between people and ecological systems, through leisure or tourism activities, form a complex socio-ecological spatial network. The analysis of the benefits people derive from their intera...

Reframing HIV Stigma and Fear : Considerations from Social-ecological and Evolutionary Theories of Reproduction.

HIV stigma and fears surrounding the disease pose a challenge for public health interventions, particularly those that target pregnant women. In order to reduce stigma and improve the lives of vulnera...

Farm productive contexts and the dynamics of bovine viral diarrhea (BVD) transmission.

Bovine viral diarrhea (BVD) is a viral disease that affects cattle and that is endemic to many European countries. It has a markedly negative impact on the economy, through reduced milk production, ab...

Clinical Trials [6701 Associated Clinical Trials listed on BioPortfolio]

Response to Social Rejection in Suicidal Behavior

Suicide is a major health problem that causes annually a million death worldwild. In the stress-vulnerability model, suicidal behavior (SB) results from the interaction between an individu...

AI-based Social Software to Manage wARfarin Therapy

The investigators have demonstrated that social software could improve warfarin therapy quality by Human management. however,the efficiency of management will decline if patients' number e...

Identification and Research of Impacts of Social Categorization Process in Nurse Triage (SOCIAL SORTING)

Social Sorting is a: non interventional, observational, qualitative and multicenter research. It investigates three French emergency units in three French centers (UH of Angers, H of Le Ma...

From Brain Currents to Interpersonal Flow: Investigating the Social Processing Stream of Schizophrenia

The overall objective of this project is to identify the neural signature of the impaired ability to relate socially seen in individuals with schizophrenia. A hypothesized path from the ne...

Treatment of Social Phobia and Panic Disorder in Adults

The purpose of this study is to compare a stepped care model for the treatment of social phobia and panic disorder with standard psychological treatment. The stepped care model comprises t...

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Ongoing collection, analysis, and interpretation of ecological data that is used to assess changes in the components, processes, and overall condition and functioning of an ECOSYSTEM.

Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.

Social media model for enabling public involvement and recruitment in participation. Use of social media to collect feedback and recruit volunteer subjects.

Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.

Quick Search


DeepDyve research library

Searches Linking to this Article