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dc.contributor.author
Cavallero, Laura
dc.contributor.author
López, Dardo Rubén
dc.contributor.author
Raffaele, Estela
dc.contributor.author
Aizen, Marcelo Adrian
dc.date.available
2018-05-10T22:11:48Z
dc.date.issued
2015-05
dc.identifier.citation
Cavallero, Laura; López, Dardo Rubén; Raffaele, Estela; Aizen, Marcelo Adrian; Structural-functional approach to identify post-disturbance recovery indicators in forests from northwestern Patagonia: a tool to prevent state transitions; Elsevier Science; Ecological Indicators; 52; 5-2015; 85-95
dc.identifier.issn
1470-160X
dc.identifier.uri
http://hdl.handle.net/11336/44861
dc.description.abstract
The disruption of the natural post-disturbance recovery process, either by changes in disturbance regime or by another disturbance, can trigger transitions to alternative degraded states. In a scenario of high disturbance pressure on ecological systems, it is essential to detect recovery indicators to define the period when the system needs more protection as well as the period when the system supports certain use pressure without affecting its resilience. Recovery indicators can be identified by non-linear changes in structural and functional variables. Fire largely modulates the dynamic and stability of plant communities worldwide, and is this the case in northwestern (NW) Patagonia. The ultimate goal of this study is to propose a structural-functional approach based on a reference system (i.e. chronosequence) as a tool to detect post-disturbance recovery indicators in forests from NW Patagonia. In NW Patagonia (40-42°S), we sampled 25 Austrocedrus chilensis and Nothofagus spp communities differing in post-fire age (0.3-180 yr). In each community we recorded structural (woody species cover and height, solar radiation, air temperature, relative humidity) and functional (annual recruitment of woody and tree species) attributes. We modelled these attributes in function of post-fire age and analized the relationship between a functional attribute and a Structural Recovery Index (SRI). Communities varying in time-since-last-fire were structurally and functionally different. Moreover, response variables showed non-linear changes along the chronosequence, allowing the selection of recovery indicators. We suggest to use vegetation variables instead of environmental variables as structural recovery indicators. Horizontal and Vertical Vegetation Heterogeneity indices provided the information necessary to describe vegetation spatial reorganization after fire. Tree species annual recruitment was a good indicator of the functional recovery of forest communities. The relationship between a functional attribute and SRI allowed us to detect phases with high- and low-risk of degradation during post-fire succession. High-risk phases (< 36 yr old) had the highest horizontal vegetation heterogeneity and scarce tree seedling density (< 7,000 seedlings.ha-1.yr-1). Whereas, low-risk phases (> 36 yr old) had the highest vertical vegetation heterogeneity and tree species seedling density (> 10,000 seedlings.ha-1.yr-1). Due to the low structural-functional levels, communities at high-risk phases would be more vulnerable to antropic pressure (e.g. livestock raising, logging) than communities at low-risk phases. The proposed approach contributes to the sustainable management of forest communities because it allows to estimate the minimum structural-functional levels from which forest communities could be harvested.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Ecological Indicators
dc.subject
Environmental Heterogeneity
dc.subject
Fire
dc.subject
High-Risk Phases
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Low-Risk Phases
dc.subject
Seedling Recruitment
dc.subject
Spatial Vegetation Heterogeneity
dc.subject.classification
Agricultura
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Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
dc.title
Structural-functional approach to identify post-disturbance recovery indicators in forests from northwestern Patagonia: a tool to prevent state transitions
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-04-09T16:58:09Z
dc.journal.volume
52
dc.journal.pagination
85-95
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Cavallero, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
dc.description.fil
Fil: López, Dardo Rubén. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche; Argentina
dc.description.fil
Fil: Raffaele, Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
dc.description.fil
Fil: Aizen, Marcelo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
dc.journal.title
Ecological Indicators
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1470160X14005548
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ecolind.2014.11.019
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