dc.creatorMillán, Emmanuel Nicolás
dc.creatorGoirán, Silvana Beatriz
dc.creatorAranibar, Julieta Nelida
dc.creatorBringa, Eduardo Marcial
dc.date.accessioned2018-09-12T16:35:31Z
dc.date.accessioned2018-11-06T12:33:00Z
dc.date.available2018-09-12T16:35:31Z
dc.date.available2018-11-06T12:33:00Z
dc.date.created2018-09-12T16:35:31Z
dc.date.issued2017-05
dc.identifierMillán, Emmanuel Nicolás; Goirán, Silvana Beatriz; Aranibar, Julieta Nelida; Bringa, Eduardo Marcial; Livestock Settlement Dynamics in Drylands: Model application in the Monte desert (Mendoza, Argentina); Elsevier Science; Ecological Informatics; 39; 5-2017; 84-98
dc.identifier1574-9541
dc.identifierhttp://hdl.handle.net/11336/59310
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1867782
dc.description.abstractHuman settlements in arid environments are becoming widespread due to population growth, and without planning, they may alter vegetation and ecosystem processes, compromising sustainability. We hypothesize that in an arid region of the central Monte desert (Mendoza, Argentina), surface and groundwater availability are the primary factors controlling livestock settlements establishment and success as productive units, which affect patterns of degradation in the landscape. To evaluate this hypothesis we simulated settlement dynamics using a Monte Carlo based model of Settlement Dynamics in Drylands (SeDD), which calculates probabilities on a gridded region based on six environmental factors: groundwater depth, vegetation type, proximity to rivers, paved road, old river beds, and existing settlements. A parameter sweep, including millions of simulations, was run to identify the most relevant factors controlling settlements. Results indicate that distances to rivers and the presence of old river beds are critical to explain the current distribution of settlements, while vegetation, paved roads, and water table depth were not as relevant to explain settlement distribution. Far from surface water sources, most settlements were established at random, suggesting that pressures to settle in unfavorable places control settlement dynamics in those isolated areas. The simulated vegetation, which considers degradation around livestock settlements, generally matched the spatial distribution of remotely sensed vegetation classes, although with a higher cover of extreme vegetation classes. The model could be a useful tool to evaluate effects of land use changes, such as water provision or changes on river flows, on settlement distribution and vegetation degradation in arid environments.
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.ecoinf.2017.03.006
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1574954116302060
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectMONTE CARLO SIMULATIONS
dc.subjectOLD RIVER BEDS
dc.subjectSETTLEMENT DYNAMICS
dc.subjectSPATIAL DISTRIBUTION
dc.subjectVEGETATION DEGRADATION
dc.subjectWATER AVAILABILITY
dc.titleLivestock Settlement Dynamics in Drylands: Model application in the Monte desert (Mendoza, Argentina)
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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