@article{fdi:010061817,
  title = {{E}cosystem services of regulation and support in {A}mazonian pioneer fronts : searching for landscape drivers},
  author = {{G}rimaldi, {M}ichel and {O}szwald, {J}. and {D}oledec, {S}. and {H}urtado, {M}. {D}. and {M}iranda, {I}. {D}. and de {S}artre, {X}. {A}. and de {A}ssis, {W}. {S}. and {C}astaneda, {E}. and {D}esjardins, {T}hierry and {D}ubs, {F}lorence and {G}uevara, {E}. and {G}ond, {V}. and {L}ima, {T}. {T}. {S}. and {M}arichal, {R}. and {M}ichelotti, {F}. and {M}itja, {D}anielle and {N}oronha, {N}. {C}. and {O}liveira, {M}. {N}. {D}. and {R}amirez, {B}. and {R}odriguez, {G}. and {S}arrazin, {M}ax and da {S}ilva, {M}. {L}. and {C}osta, {L}. {G}. {S}. and de {S}ouza, {S}. {L}. and {V}eiga, {I}. and {V}elasquez, {E}. and {L}avelle, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{L}andscape dynamics result from forestry and farming practices, both of which are expected to have diverse impacts on ecosystem services ({ES}). {I}n this study, we investigated this general statement for regulating and supporting services via an assessment of ecosystem functions: climate regulation via carbon sequestration in soil and plant biomass, water cycle and soil erosion regulation via water infiltration in soil, and support for primary production via soil chemical quality and water storage. {W}e tested the hypothesis that patterns of land-cover composition and structure significantly alter {ES} metrics at two different scales. {W}e surveyed 54 farms in two {A}mazonian regions of {B}razil and {C}olombia and assessed land-cover composition and structure from remote sensing data (farm scale) from 1990 to 2007. {S}imple and well-established methods were used to characterize soil and vegetation from five points in each farm (plot scale). {M}ost {ES} metrics were significantly correlated with land-use (plot scale) and land-cover (farm scale) classifications; however, spatial variability in inherent soil properties, alone or in interaction with land-use or land-cover changes, contributed greatly to variability in {ES} metrics. {C}arbon stock in above-ground plant biomass and water infiltration rate decreased from forest to pasture land covers, whereas soil chemical quality and plant-available water storage capacity increased. {L}and-cover classifications based on structure metrics explained significantly less {ES} metric variation than those based on composition metrics. {L}and-cover composition dynamics explained 45 % ({P} < 0.001) of {ES} metric variance, 15 % by itself and 30 % in interaction with inherent soil properties. {T}his study describes how {ES} evolve with landscape changes, specifying the contribution of spatial variability in the physical environment and highlighting trade-offs and synergies among {ES}.},
  keywords = {{L}and-use intensity ; {S}oil ecosystem services ; {S}ocioeconomic drivers ; {A}groecosystems ; {C}arbon storage ; {S}oil chemical quality ; {W}ater infiltration ; {T}rade-offs ; {AMAZONIE} ; {BRESIL} ; {COLOMBIE}},
  booktitle = {},
  journal = {{L}andscape {E}cology},
  volume = {29},
  numero = {2},
  pages = {311--328},
  ISSN = {0921-2973},
  year = {2014},
  DOI = {10.1007/s10980-013-9981-y},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061817},
}