2016
DOI: 10.1111/gcb.13367
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Defining functional biomes and monitoring their change globally

Abstract: Biomes are important constructs for organizing understanding of how the worlds' major terrestrial ecosystems differ from one another and for monitoring change in these ecosystems. Yet existing biome classification schemes have been criticized for being overly subjective and for explicitly or implicitly invoking climate. We propose a new biome map and classification scheme that uses information on (i) an index of vegetation productivity, (ii) whether the minimum of vegetation activity is in the driest or coldes… Show more

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Cited by 70 publications
(126 citation statements)
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“…At regional scales, such as those observed in the present study, the representation of C 4 cover and grass‐dominated vegetation often contrasts with observations. This contrast may be because the distribution of grassy vegetation is often modified by ecosystem ecology and disturbance (Griffith et al, ; Moncrieff et al, ), and biome patterns may not be deterministic but instead contingent on biogeographical and evolutionary history (Higgins, Buitenwerf, & Moncrieff, ; Lehmann et al, ; Moncrieff et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…At regional scales, such as those observed in the present study, the representation of C 4 cover and grass‐dominated vegetation often contrasts with observations. This contrast may be because the distribution of grassy vegetation is often modified by ecosystem ecology and disturbance (Griffith et al, ; Moncrieff et al, ), and biome patterns may not be deterministic but instead contingent on biogeographical and evolutionary history (Higgins, Buitenwerf, & Moncrieff, ; Lehmann et al, ; Moncrieff et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…However, in order to specifically test for the importance of direct temperature effects on photosynthesis, we used a generic temperature sensitivity model (Higgins et al . ) and compared simulations with and without temperature dependence.…”
Section: Methodsmentioning
confidence: 99%
“…We have shortened the WWF Biome names for brevity, with the original WWF names indicated within brackets: Tropical forest (Tropical and Subtropical Moist Broadleaf Forests), Temperate forest (Temperate Broadleaf and Mixed Forests), Mediterranean (Mediterranean Forests, Woodlands and Scrub), Tropical grassland (Tropical and Subtropical Grasslands, Savannas & Shrublands), Temperate grassland (Temperate Grasslands, Savannas and Shrublands), Montane grassland (Montane Grasslands and Shrublands), and Desert (Deserts and Xeric Shrublands). Functional Biomes (Figure b, Higgins et al, ; Higgins, Buitenwerf, & Moncrieff, ) are also global and based on vegetation attributes quantifiable from satellite imagery: vegetation height (Short or Tall), vegetation productivity index (High, Medium or Low) and seasonality of growth (moisture limited, Dry; cold limited, Cold; moisture and cold limited, Both; or non‐seasonal, Non‐seasonal). Each of the 24 different Functional Biomes represents a different combination of these three vegetation attributes, and 13 of these Functional Biomes occur in Australia: SLD (Short Low Dry), SMD (Short Medium Dry), SHD, (Short High Dry), TMD (Tall Medium Dry), THD (Tall High Dry), SLB (Short Low Both), SMB (Short Medium Both), SLN (Short Low Non‐seasonal), SMN (Short Medium Non‐seasonal), SHN (Short High Non‐seasonal), TLN (Tall Low Non‐seasonal), TMN (Tall Medium Non‐seasonal) and THN (Tall High Non‐seasonal).…”
Section: Methodsmentioning
confidence: 99%
“…Biomes of Australia showing (a) WWF Biomes (Olson et al, ), (b) Functional Biomes (Higgins et al, ), (c) Crisp Biomes (Crisp et al, ), and (d) González‐Orozco Biomes (González‐Orozco et al, ). The names of the Functional Biomes are a combination of vegetation height (S ‐ Short or T ‐ Tall); vegetation productivity index (L ‐ Low, M ‐ Medium or H ‐ High); and how temperature and soil moisture limit growth seasonally (D ‐ Dry, B ‐ both cold and dry or N ‐ non‐seasonal).…”
Section: Methodsmentioning
confidence: 99%