State and transition model approach in native forests of southern patagonia (Argentina): Linking ecosystem services, thresholds and resilience
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State and transition model approach in native forests of southern patagonia (Argentina) : Linking ecosystem services, thresholds and resilience. / Peri, Pablo Luis; López, Dardo Rubén; Rusch, Verónica; Rusch, Graciela; Rosas, Yamina Micaela; Pastur, Guillermo Martínez.
In: International Journal of Biodiversity Science, Ecosystem Services and Management, Vol. 13, No. 2, 2017, p. 105-118.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - State and transition model approach in native forests of southern patagonia (Argentina)
T2 - Linking ecosystem services, thresholds and resilience
AU - Peri, Pablo Luis
AU - López, Dardo Rubén
AU - Rusch, Verónica
AU - Rusch, Graciela
AU - Rosas, Yamina Micaela
AU - Pastur, Guillermo Martínez
N1 - Funding Information: The research leading to these results has received funding from the European Commission’s Seventh Framework Programme (OpenNESS project, grant agreement no. 308428). Publisher Copyright: © 2017 The Author(s).
PY - 2017
Y1 - 2017
N2 - The sustainable use of ñire forests requires knowledge of its dynamics and management to maintain long-term main forest ecosystem services. The aim of this work was to develop a structural–functional state and transition model for ñire forests in southern Patagonia. For this, provincial inventory information was analyzed together with information from permanent PEBANPA plots (plots of Ecology and Biodiversity, natural environments in Southern Patagonia) and studies of ecology and eco-physiology in ñire forests. This allowed the description of plant communities on these ecological sites and the history of natural disturbances. Seven states and 10 negative transitions were described, as well the factors that trigger transitions (levels of grazing, fire and intense logging). Mature forests with low grazing, no extractive activity and complete canopy cover (>70%) correspond to the reference state or condition of greater integrity, and grassland or murtillar (dominance of Empetrum rubrum) with forest loss is considered the most degraded state. Negative transitions determine the threshold crossings associated with the reduction or loss of resilience to the previous or original state. The development of state and transition models allows for early warnings of deterioration and is a tool to achieve more productive and environmental value.
AB - The sustainable use of ñire forests requires knowledge of its dynamics and management to maintain long-term main forest ecosystem services. The aim of this work was to develop a structural–functional state and transition model for ñire forests in southern Patagonia. For this, provincial inventory information was analyzed together with information from permanent PEBANPA plots (plots of Ecology and Biodiversity, natural environments in Southern Patagonia) and studies of ecology and eco-physiology in ñire forests. This allowed the description of plant communities on these ecological sites and the history of natural disturbances. Seven states and 10 negative transitions were described, as well the factors that trigger transitions (levels of grazing, fire and intense logging). Mature forests with low grazing, no extractive activity and complete canopy cover (>70%) correspond to the reference state or condition of greater integrity, and grassland or murtillar (dominance of Empetrum rubrum) with forest loss is considered the most degraded state. Negative transitions determine the threshold crossings associated with the reduction or loss of resilience to the previous or original state. The development of state and transition models allows for early warnings of deterioration and is a tool to achieve more productive and environmental value.
KW - Degradation
KW - Disturbance
KW - Native forest
KW - Resilience approach
KW - Sustainability
U2 - 10.1080/21513732.2017.1304995
DO - 10.1080/21513732.2017.1304995
M3 - Journal article
AN - SCOPUS:85034607782
VL - 13
SP - 105
EP - 118
JO - Ecosystems and People
JF - Ecosystems and People
SN - 2639-5908
IS - 2
ER -
ID: 339245607