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  1. Article ; Online: Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú.

    Halbritter, Aud H / Vandvik, Vigdis / Cotner, Sehoya H / Farfan-Rios, William / Maitner, Brian S / Michaletz, Sean T / Oliveras Menor, Imma / Telford, Richard J / Ccahuana, Adam / Cruz, Rudi / Sallo-Bravo, Jhonatan / Santos-Andrade, Paul Efren / Vilca-Bustamante, Lucely L / Castorena, Matiss / Chacón-Labella, Julia / Christiansen, Casper Tai / Duran, Sandra M / Egelkraut, Dagmar D / Gya, Ragnhild /
    Haugum, Siri Vatsø / Seltzer, Lorah / Silman, Miles R / Strydom, Tanya / Spiegel, Marcus P / Barros, Agustina / Birkeli, Kristine / Boakye, Mickey / Chiappero, Fernanda / Chmurzynski, Adam / Garen, Josef C / Gaudard, Joseph / Gauthier, Tasha-Leigh J / Geange, Sonya R / Gonzales, Fiorella N / Henn, Jonathan J / Hošková, Kristýna / Isaksen, Anders / Jessup, Laura H / Johnson, Will / Kusch, Erik / Lepley, Kai / Lift, Mackenzie / Martyn, Trace E / Muñoz Mazon, Miguel / Middleton, Sara L / Quinteros Casaverde, Natalia L / Navarro, Jocelyn / Zepeda, Verónica / Ocampo-Zuleta, Korina / Palomino-Cardenas, Andrea Carmeli / Pastor Ploskonka, Samuel / Pierfederici, Maria Elisa / Pinelli, Verónica / Rickenback, Jess / Roos, Ruben E / Rui, Hilde Stokland / Sanchez Diaz, Eugenia / Sánchez-Tapia, Andrea / Smith, Alyssa / Urquiaga-Flores, Erickson / von Oppen, Jonathan / Enquist, Brian J

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 225

    Abstract: Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global ... ...

    Abstract Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.
    MeSH term(s) Biodiversity ; Ecosystem ; Grassland ; Peru ; Plants ; Climate ; Altitude ; Fires
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-02980-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Fire effects and ecological recovery pathways of tropical montane cloud forests along a time chronosequence.

    Oliveras, Imma / Román-Cuesta, Rosa M / Urquiaga-Flores, Erickson / Quintano Loayza, Jose A / Kala, Jose / Huamán, Vicky / Lizárraga, Nohemi / Sans, Guissela / Quispe, Katia / Lopez, Efrain / Lopez, David / Cuba Torres, Israel / Enquist, Brian J / Malhi, Yadvinder

    Global change biology

    2017  Volume 24, Issue 2, Page(s) 758–772

    Abstract: Tropical montane cloud forests (TMCFs) harbour high levels of biodiversity and large carbon stocks. Their location at high elevations make them especially sensitive to climate change, because a warming climate is enhancing upslope species migration, but ... ...

    Abstract Tropical montane cloud forests (TMCFs) harbour high levels of biodiversity and large carbon stocks. Their location at high elevations make them especially sensitive to climate change, because a warming climate is enhancing upslope species migration, but human disturbance (especially fire) may in many cases be pushing the treeline downslope. TMCFs are increasingly being affected by fire, and the long-term effects of fire are still unknown. Here, we present a 28-year chronosequence to assess the effects of fire and recovery pathways of burned TMCFs, with a detailed analysis of carbon stocks, forest structure and diversity. We assessed rates of change of carbon (C) stock pools, forest structure and tree-size distribution pathways and tested several hypotheses regarding metabolic scaling theory (MST), C recovery and biodiversity. We found four different C stock recovery pathways depending on the selected C pool and time since last fire, with a recovery of total C stocks but not of aboveground C stocks. In terms of forest structure, there was an increase in the number of small stems in the burned forests up to 5-9 years after fire because of regeneration patterns, but no differences on larger trees between burned and unburned plots in the long term. In support of MST, after fire, forest structure appears to approximate steady-state size distribution in less than 30 years. However, our results also provide new evidence that the species recovery of TMCF after fire is idiosyncratic and follows multiple pathways. While fire increased species richness, it also enhanced species dissimilarity with geographical distance. This is the first study to report a long-term chronosequence of recovery pathways to fire suggesting faster recovery rates than previously reported, but at the expense of biodiversity and aboveground C stocks.
    MeSH term(s) Biodiversity ; Carbon ; Climate Change ; Fires ; Forests ; Peru ; Time Factors ; Trees ; Tropical Climate
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2017-11-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    DOI 10.1111/gcb.13951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Changes in forest structure and composition after fire in tropical montane cloud forests near the Andean treeline

    Oliveras, Imma / Malhi, Yadvinder / Salinas, Norma / Huaman, Vicky / Urquiaga-Flores, Erickson / Kala-Mamani, Jose / Quintano-Loaiza, Jose Antonio / Cuba-Torres, Israel / Lizarraga-Morales, Nohemi / Román-Cuesta, Rosa-Maria

    Plant ecology & diversity. 2014 Apr. 3, v. 7, no. 1-2

    2014  

    Abstract: Background: In tropical montane cloud forests (TMCFs) fires can be a frequent source of disturbance near the treeline. Aims: To identify how forest structure and tree species composition change in response to fire and to identify fire-tolerant species, ... ...

    Abstract Background: In tropical montane cloud forests (TMCFs) fires can be a frequent source of disturbance near the treeline. Aims: To identify how forest structure and tree species composition change in response to fire and to identify fire-tolerant species, and determine which traits or characteristics are associated with fire tolerance. Methods: Shifts in forest structure and diversity were assessed on 15 paired plots in burnt and unburnt (control) forests, along a fire chronosequence. Species were classified as fire-sensitive, fire survivors or fire thrivers, using a fire tolerance index. Regression and tree analyses were used to determine which traits contributed to the fire tolerance of species. Results: There were more small- and medium-sized trees in the burnt plots independent of time since the last fire. There were shifts in family importance value and in species diversity among the plots. Of the 73 species analysed there were 39 fire-sensitive species, 19 fire survivors and 14 fire thrivers. Sprouting ability and biomass showed a positive relationship with the fire tolerance of species. Conclusions: There were immediate as well as long-term (up to 15 years) effects of fire on forest structure and species composition, suggesting that TMCFs take more than 15 years to regenerate from a fire. Long-term studies are needed to fully understand regeneration patterns of TMCFs after fires.
    Keywords biomass ; chronosequences ; forest fires ; regression analysis ; species diversity ; sprouting ; treeline ; trees ; tropical montane cloud forests ; Andes region
    Language English
    Dates of publication 2014-0403
    Size p. 329-340.
    Publishing place Taylor & Francis
    Document type Article
    ISSN 1755-1668
    DOI 10.1080/17550874.2013.816800
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Fire effects and ecological recovery pathways of tropical montane cloud forests along a time chronosequence

    Oliveras, Imma / Román-Cuesta, Rosa M. / Urquiaga-Flores, Erickson / Quintano Loayza, Jose A. / Kala, Jose / Huamán, Vicky / Lizárraga, Nohemi / Sans, Guissela / Quispe, Katia / Lopez, Efrain / Lopez, David / Cuba Torres, Israel / Enquist, Brian J. / Malhi, Yadvinder

    Global Change Biology

    2018  Volume 24, Issue 2

    Abstract: Tropical montane cloud forests (TMCFs) harbour high levels of biodiversity and large carbon stocks. Their location at high elevations make them especially sensitive to climate change, because a warming climate is enhancing upslope species migration, but ... ...

    Abstract Tropical montane cloud forests (TMCFs) harbour high levels of biodiversity and large carbon stocks. Their location at high elevations make them especially sensitive to climate change, because a warming climate is enhancing upslope species migration, but human disturbance (especially fire) may in many cases be pushing the treeline downslope. TMCFs are increasingly being affected by fire, and the long-term effects of fire are still unknown. Here, we present a 28-year chronosequence to assess the effects of fire and recovery pathways of burned TMCFs, with a detailed analysis of carbon stocks, forest structure and diversity. We assessed rates of change of carbon (C) stock pools, forest structure and tree-size distribution pathways and tested several hypotheses regarding metabolic scaling theory (MST), C recovery and biodiversity. We found four different C stock recovery pathways depending on the selected C pool and time since last fire, with a recovery of total C stocks but not of aboveground C stocks. In terms of forest structure, there was an increase in the number of small stems in the burned forests up to 5–9 years after fire because of regeneration patterns, but no differences on larger trees between burned and unburned plots in the long term. In support of MST, after fire, forest structure appears to approximate steady-state size distribution in less than 30 years. However, our results also provide new evidence that the species recovery of TMCF after fire is idiosyncratic and follows multiple pathways. While fire increased species richness, it also enhanced species dissimilarity with geographical distance. This is the first study to report a long-term chronosequence of recovery pathways to fire suggesting faster recovery rates than previously reported, but at the expense of biodiversity and aboveground C stocks.
    Keywords carbon allocation ; forest structure ; metabolic scaling theory ; regeneration ; species diversity
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Changes in forest structure and composition after fire in tropical montane cloud forests near the Andean treeline

    Oliveras, Imma / Malhi, Yadvinder / Salinas, Norma / Huaman, Vicky / Urquiaga-Flores, Erickson / Kala-Mamani, Jose / Quintano-Loaiza, Jose Antonio / Cuba-Torres, Israel / Lizarraga-Morales, Nohemi / Román-Cuesta, Rosa-Maria

    Plant ecology & diversity

    Volume v. 7,, Issue no. 1

    Abstract: Background: In tropical montane cloud forests (TMCFs) fires can be a frequent source of disturbance near the treeline. Aims: To identify how forest structure and tree species composition change in response to fire and to identify fire-tolerant species, ... ...

    Abstract Background: In tropical montane cloud forests (TMCFs) fires can be a frequent source of disturbance near the treeline. Aims: To identify how forest structure and tree species composition change in response to fire and to identify fire-tolerant species, and determine which traits or characteristics are associated with fire tolerance. Methods: Shifts in forest structure and diversity were assessed on 15 paired plots in burnt and unburnt (control) forests, along a fire chronosequence. Species were classified as fire-sensitive, fire survivors or fire thrivers, using a fire tolerance index. Regression and tree analyses were used to determine which traits contributed to the fire tolerance of species. Results: There were more small- and medium-sized trees in the burnt plots independent of time since the last fire. There were shifts in family importance value and in species diversity among the plots. Of the 73 species analysed there were 39 fire-sensitive species, 19 fire survivors and 14 fire thrivers. Sprouting ability and biomass showed a positive relationship with the fire tolerance of species. Conclusions: There were immediate as well as long-term (up to 15 years) effects of fire on forest structure and species composition, suggesting that TMCFs take more than 15 years to regenerate from a fire. Long-term studies are needed to fully understand regeneration patterns of TMCFs after fires.
    Keywords biomass ; chronosequences ; trees ; tropical montane cloud forests ; treeline ; sprouting ; species diversity ; regression analysis ; forest fires
    Language English
    Document type Article
    ISSN 1755-1668
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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