Metapopulation Ecology

Nouhuys, Saskya van

doi:10.1002/9780470015902.a0021905

Cited by 8 publications

(7 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The criterion of the distance between inhabited patches also changes after the fuzzy modeling, since the visibility of dark potential areas (areas with high favorability where the species was not reported) increases the sizes of the plots, therefore changing the proportion of occupied area and reducing the distance between them [ 69 , 89 ]. The size of the plots and the fraction occupied by the existing population in each are important values to establish a predictive model about the viability of the population, based mainly on its ability to emit or receive individuals [ 5 , 78 , 82 ]. Distance does not have a Euclidean influence, but an anisotropic summative effect according to the environmental characteristics between patches, which results in the connectivity [ 74 ] and reflects the likelihood of colonization of empty patches [ 2 ].…”

Section: Discussionmentioning

confidence: 99%

“…The concept of metapopulation has different definitions. It can be described as a population spatially organized into subpopulations more or less connected by migratory channels [ 1 , 4 ], as a spatially structured population that persists over time, as a set of local populations with limited dispersion among them [ 5 ], or as a population fragmented into a series of patches, embedded in a territorial matrix where the presence of the species is less favorable, that mutually maintain each other through the migration of individuals [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Metapopulation Patterns of Iberian Butterflies Revealed by Fuzzy Logic

Pulido‐Pastor

Márquez

Guerrero

et al. 2021

Insects

View full text Add to dashboard Cite

Metapopulation theory considers that the populations of many species are fragmented into patches connected by the migration of individuals through an interterritorial matrix. We applied fuzzy set theory and environmental favorability (F) functions to reveal the metapopulational structure of the 222 butterfly species in the Iberian Peninsula. We used the sets of contiguous grid cells with high favorability (F ≥ 0.8), to identify the favorable patches for each species. We superimposed the known occurrence data to reveal the occupied and empty favorable patches, as unoccupied patches are functional in a metapopulation dynamics analysis. We analyzed the connectivity between patches of each metapopulation by focusing on the territory of intermediate and low favorability for the species (F < 0.8). The friction that each cell opposes to the passage of individuals was computed as 1-F. We used the r.cost function of QGIS to calculate the cost of reaching each cell from a favorable patch. The inverse of the cost was computed as connectivity. Only 126 species can be considered to have a metapopulation structure. These metapopulation structures are part of the dark biodiversity of butterflies because their identification is not evident from the observation of the occurrence data but was revealed using favorability functions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metapopulation Patterns of Iberian Butterflies Revealed by Fuzzy Logic

Pulido‐Pastor

Márquez

Guerrero

et al. 2021

Insects

View full text Add to dashboard Cite

show abstract

“…Rates and directions of dispersal in space define the “demographic connectivity” of a population. The concept of demographic connectivity underlies modern theory in conservation planning (Rudnick et al 2012, van Nouhuys 2016). Conserving patches of habitat with higher levels of connectivity facilitates dispersal among local populations (Williams et al 2004, Rudnick et al 2012), which maximizes population growth rates and makes the entire population more resilient to extinction pressures (Hanski and Ovaskainen 2000, Williams et al 2004, Hastings and Botsford 2006, Jacobi and Jonsson 2011).…”

Section: Introductionmentioning

confidence: 99%

Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

Pepin

Smyser

Davis

et al. 2020

Ecological Applications

View full text Add to dashboard Cite

Populations of invasive species often spread heterogeneously across a landscape, consisting of local populations that cluster in space but are connected by dispersal. A fundamental dilemma for invasive species control is how to optimally allocate limited fiscal resources across local populations. Theoretical work based on perfect knowledge of demographic connectivity suggests that targeting local populations from which migrants originate (sources) can be optimal. However, demographic processes such as abundance and dispersal can be highly uncertain, and the relationship between local population density and damage costs (damage function) is rarely known. We used a metapopulation model to understand how budget and uncertainty in abundance, connectivity, and the damage function, together impact return on investment (ROI) for optimal control strategies. Budget, observational uncertainty, and the damage function had strong effects on the optimal resource allocation strategy. Uncertainty in dispersal probability was the least important determinant of ROI. The damage function determined which resource prioritization strategy was optimal when connectivity was symmetric but not when it was asymmetric. When connectivity was asymmetric, prioritizing source populations had a higher ROI than allocating effort equally across local populations, regardless of the damage function, but uncertainty in connectivity structure and abundance reduced ROI of the optimal prioritization strategy by 57% on average depending on the control budget. With low budgets (monthly removal rate of 6.7% of population), there was little advantage to prioritizing resources, especially when connectivity was high or symmetric, and observational uncertainty had only minor effects on ROI. Allotting funding for improved monitoring appeared to be most important when budgets were moderate (monthly removal of 13–20% of the population). Our result showed that multiple sources of observational uncertainty should be considered concurrently for optimizing ROI. Accurate estimates of connectivity direction and abundance were more important than accurate estimates of dispersal rates. Developing cost‐effective surveillance methods to reduce observational uncertainties, and quantitative frameworks for determining how resources should be spatially apportioned to multiple monitoring and control activities are important and challenging future directions for optimizing ROI for invasive species control programs.

show abstract

“…O grau de estruturação populacional varia conforme as taxas de fluxo gênico entre as populações presentes em uma determinada área geográfica, podendo formar: (i) uma grande população de baixa estrutura genética, onde ocorre alta taxa de cruzamento entre os indivíduos distribuídos por uma extensa área; (ii) várias populações bem estruturadas, gerando populações independentes que não realizam troca de material genético ao longo de uma faixa geográfica; ou (iii) uma metapopulação, caracterizada como um estado intermediário entre os cenários i e ii, sendo formada por um agrupamento de populações locais com baixa taxa de fluxo gênico com outro(s) agrupamento(s) de populações, ou seja, uma população constituída de populações ( VAN NOUHUYS, 2016). Regiões com características climáticas e de paisagem diferentes podem interferir na variabilidade intraespecífica, imprimindo barreiras às trocas de material genético entre populações.…”

Section: Introductionunclassified

Filogeografia molecular de >i<Thyrinteina arnobia>/i< (Lepidoptera: Geometridae) e >i<Gonipterus>/i< spp. (Coleoptera: Curculionidae) no Brasil

Sato¹

View full text Add to dashboard Cite

Molecular phylogeography of Thyrinteina arnobia (Lepidoptera: Geometridae) and Gonipterus spp. (Coleoptera: Curculionidae) in BrazilThe introduction of eucalyptus (Eucalyptus spp.) in the Brazilian territory and its territorial expansion enhanced the development of native Myrtaceae pests and created conditions of establishment for exotic pests introduced by man, as are the cases of the native pest Thyrinteina arnobia and the cryptic and exotic species Gonipterus platensis and G. pulverulentus, respectively. Today, these species are important defoliating pests of eucalyptus in Brazil. The relationship between eucalyptus and these pest species has persisted for several decades, leading us to ask about the current genetic and demographic structuring of these species in Brazil. Therefore, this work's objectives were: (i) to study the diversity, genetic structure, and demography of T. arnobia and Gonipterus spp. in Brazil. In addition (ii) to realize the molecular identifications of Gonipterus spp. and build species-specific molecular markers for quick and accurate identification of two Gonipterus species present in Brazil. For this, a fragment of the mitochondrial DNA was sequenced, specifically a fragment of the cytochrome oxidase gene and subunit I (COI), from the collected specimens. The results of diversity and genetic structure showed that T. arnobia and G. platensis populations have moderate genetic diversity and high structure by geographic region, mainly in T. arnobia, where populations in the Northeast of Brazil have high rates of molecular variance to the populations of the Center-South Region. The species G. pulverulentus did not present genetic diversity and was not included in the population analyses. T. arnobia and G. platensis are not demographic expanding/retracting. Still, they are in spatial expansion in Brazil. The specific marker developed for identifying G. platensis and G. pulverulentus was based on the use of species-specific primers and successfully allowed the identification of these cryptic species through a multiplex PCR and subsequent visualization of the results on an agarose gel. The current distribution of G. pulverulentus is restricted to the South of the country, while G. platensis is widely distributed in the Brazilian regions.

show abstract

Metapopulation Ecology

Cited by 8 publications

References 75 publications

Metapopulation Patterns of Iberian Butterflies Revealed by Fuzzy Logic

Metapopulation Patterns of Iberian Butterflies Revealed by Fuzzy Logic

Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

Filogeografia molecular de >i<Thyrinteina arnobia>/i< (Lepidoptera: Geometridae) e >i<Gonipterus>/i< spp. (Coleoptera: Curculionidae) no Brasil

Contact Info

Product

Resources

About