@article{fdi:010092528,
  title = {{P}lant trait and vegetation data along a 1314 m elevation gradient with fire history in {P}una grasslands, {P}erú},
  author = {{H}albritter, {A}.{H}. and {V}andvik, {V}. and {C}otner, {S}.{H}. and {F}arfan-{R}ios, {W}. and {M}aitner, {B}.{S}. and {M}ichaletz, {S}.{T}. and {O}liveras {M}enor, {I}mma and et al.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}lpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. {T}rait- based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. {I}n six sites along a 1314 m elevational gradient in {P}una grasslands in the {P}eruvian {A}ndes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three



years. {T}he data were collected in the wet and dry season and from plots with different fire histories. {W}e 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). {T}he 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.},
  keywords = {{PEROU} ; {ANDES}},
  booktitle = {},
  journal = {{S}cientific {D}ata},
  volume = {11},
  numero = {1},
  pages = {225 [18 ]},
  ISSN = {2052-4463},
  year = {2024},
  DOI = {10.1038/s41597-024-02980-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092528},
}