A network theoretic study of potential invasion and spread of Lantana camara in a part of Rajaji Tiger Reserve, India

Upadhyay, Shashankaditya; Mondal, Tamali; Pathak, Prasad; Roy, Arijit; Agrawal, Girish; Bhattacharya, Sitangshu

doi:10.1016/j.ecocom.2019.100793

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…Where will the potential ecological impacts caused by the development of transport infrastructures [33][34][35] or of a large urban infrastructure [36] occur? Graphab has also proved useful in many biological conservation studies, primarily to identify the priority locations for maintaining the connectivity level of a habitat network [37][38][39][40][41][42][43]. Concerning ecological compensation or mitigation, Graphab has been applied in response to the question: Where are the most relevant locations to design or plan actions promoting access to ecological habitats?…”

Section: Impact Overviewmentioning

confidence: 99%

Graphab: An application for modeling and managing ecological habitat networks

et al. 2021

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Landscape graphs are increasingly used in ecology, conservation, and landscape planning for modeling habitat connectivity of wildlife species. We present here the follow-up of Graphab, a software application for modeling habitat networks. This application has been recently enhanced by advanced functions of spatial analysis, command-line facilities, and connections with other software applications. It has been used in many studies, first in ecological studies for analyzing the role of landscape connectivity on biological responses measured in the field, second for supporting decisions concerning biodiversity preservation. Future improvements could be made to make the links more realistic with respect to ecological processes.

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Section: Impact Overviewmentioning

confidence: 99%

Graphab: An application for modeling and managing ecological habitat networks

et al. 2021

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“…Networks are empirical representations of a complex system, where the underlying topology is a graph such that the various interactive components of the system can be seen as vertices and the interaction of interest between these components is modeled as edges or arcs (if the direction of interaction is also important). A formal definition for networks can be found in [27] . In the current study we wish to present a network representation of the global, Indian and US market where the vertices represent public companies that trade stocks across various stock exchanges and are connected by directed edges or arcs if the closing stock prices of these companies are co-evolving or significantly coupled as captured by their inner composition alignment [28] .…”

Section: Introductionmentioning

confidence: 99%

Inner composition alignment networks reveal financial impacts of COVID-19

Upadhyay

Mukherjee

Panigrahi

2023

Physica A: Statistical Mechanics and its Applications

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Combining graph theory and spatially-explicit, individual-based models to improve invasive species control strategies at a regional scale

Drake,

O’Malley,

Kraft

et al. 2024

Landsc Ecol

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Context Invasive species cause widespread species extinction and economic loss. There is an increasing need to identify ways to efficiently target control efforts from local to regional scales. Objectives Our goal was to test whether prioritizing managed habitat using different treatments based on spatial measures of connectivity, including graph-theoretic measures, can improve management of invasive species and whether the level of control effort affects treatment performance. We also explored how uncertainty in biological variables, such as dispersal ability, affects measures performance. Methods We used a spatially-explicit, individual-based model (sIBM) based on the American bullfrog (Lithobates catesbeianus), a globally pervasive invasive species. Simulations were informed by geographic data from part of the American bullfrog’s non-native range in southeastern Arizona, USA where they are known to pose a threat to native species. Results We found that total bullfrog populations and occupancy declined in response to all treatments regardless of effort level or patch prioritization methods. The most effective spatial prioritization was effort-dependent and varied depending on spatial context, but frequently a buffer strategy was most effective. Treatments were also sensitive to dispersal ability. Performance of treatments prioritizing habitat patches using betweenness centrality improved with increasing dispersal ability, while performance of eigenvalue centrality improved as dispersal ability decreased. Conclusions With the careful application of connectivity measures to prioritize control efforts, similar reductions in invasive species population size and occupancy could be achieved with less than half the effort of sub-optimal connectivity measures at higher effort rates. More work is needed to determine if trait-based generalities may define appropriate connectivity measures for specific suites of dispersal abilities, demographic traits, and population dynamics.

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A network theoretic study of potential invasion and spread of Lantana camara in a part of Rajaji Tiger Reserve, India

Cited by 8 publications

References 41 publications

Graphab: An application for modeling and managing ecological habitat networks

Graphab: An application for modeling and managing ecological habitat networks

Inner composition alignment networks reveal financial impacts of COVID-19

Combining graph theory and spatially-explicit, individual-based models to improve invasive species control strategies at a regional scale

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