Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation

Donohue, Randall J.; Hume, Iain; Roderick, Michael L.; McVicar, Tim R.; Beringer, Jason; Hutley, Lindsay B.; Gallant, John; Austin, Jenet; Gorsel, Eva van; Cleverly, James; Meyer, Wayne S.; Arndt, Stefan K.

doi:10.1016/j.rse.2014.09.007

Cited by 44 publications

(40 citation statements)

References 102 publications

(116 reference statements)

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“…Here, we compare SiF retrieved from GOME-2A based on the presented methodology and parameter settings with GPP derived from the regional Australian flux tower network (OzFluxwww.ozflux.org.au) [71,72]. A full description of the network can be found in Beringer et al [72].…”

Section: Comparing Far-red Sif With Gpp Derived From Australian Flux mentioning

confidence: 99%

Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements

et al. 2016

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Section: Comparing Far-red Sif With Gpp Derived From Australian Flux mentioning

confidence: 99%

Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements

et al. 2016

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“…Note that the main input variable for the GPP model (satellite fPAR) integrates the effect of plant available water, and the surface radiation component of the model is correlated with meso-scaled air temperature (see Donohue et al, 2014). (c) The upper and lower limits of allowable differences in rainfall between site pairs vary across the gradient based on a negative exponential model of site GPP (in grams of carbon per square metre per month) as a function of site rainfall (blue and red lines, respectively, see Materials and Methods).…”

Section: Subsampling Of Site Pairs For Regression Analysismentioning

confidence: 99%

“…We use gross primary productivity (GPP) as a measure of ecosystem functioning, defined as the photosynthetic flux of carbon between vegetation and the atmosphere (Donohue et al, 2014;Monteith, 1972). We use gross primary productivity (GPP) as a measure of ecosystem functioning, defined as the photosynthetic flux of carbon between vegetation and the atmosphere (Donohue et al, 2014;Monteith, 1972).…”

Section: Introductionmentioning

confidence: 99%

Primary productivity is related to niche width in the Australian Wet Tropics

Burley

Mokany

Laffan

et al. 2018

Global Ecol Biogeogr

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Aim A key ecological debate is whether ecosystem functions are distinctly influenced by biological diversity across broad scales. Although recent work has emphasized the importance of links between ecosystem functions and measures of ecological specialization as proxies of biodiversity, few studies have analysed macroecological relationships empirically in diverse environments. We tested whether gross primary productivity (GPP) in the Australian Wet Tropics (WT) was distinctly related to community‐level measures of the ecological specialization of component tree species across climate space, after accounting for climate drivers. Location Wet Tropics, Australia. Time period 1976–2012. Major taxa studied Nine hundred and forty‐eight WT tree species. Methods Using all geographically valid herbarium records for WT trees, we quantified the realized climatic niche widths using continental surfaces for maximum temperature of the warmest period and total annual rainfall. The median realized niche width for all tree species occurring at 510 sites was used to approximate ecological specialization within communities. To separate climatic effects on GPP, we applied a novel analysis using the difference in GPP and the difference in median community realized niche width between site pairs with similar climatic conditions. Linear models were then run on the difference in GPP between site pairs (response) and the difference in climatic niche widths (predictor). Results For climatically similar sites in drier areas, GPP was higher in sites composed of species with narrower temperature niches (average R2 = 0.087, average t‐statistic = −3.45). Conversely, for climatically similar sites in drier areas, GPP was lower in sites composed of species with narrower rainfall niches (average R2 = 0.171, average t‐statistic = 5.06). Main conclusions Wet Tropics sites with more thermal specialists had higher productivity, whereas sites with more moisture specialists had lower productivity. These findings suggest that physiological specialization across climate space can influence primary productivity at broad scales, but in inconsistent ways.

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“…Although breeding is less seasonal in tropical biomes, several studies have shown that more individuals breed during the end of the dry and beginning of the wet seasons but the number of species breeding is relatively constant throughout the year (Stouffer et al 2013, Englert Duursma et al 2017. Climate data comes from the Australian Water Availability Project (Jones et al 2009) via < www.bom.gov.au/jsp/awap/ >, and GPP is MODIS derived using the DIFFUSE algorithm with three-veg-type parameterisation (Donohue et al 2014), available from < www.auscover.org.au/purl/modis-gpp-diffuse-model >. We expect species breeding in the tropical and subtropical biomes (green and turquoise respectively in Fig.…”

Section: Introductionmentioning

confidence: 99%

Variation in the timing of avian egg‐laying in relation to climate

2018

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A significant proportion of birds around the world exhibit variation in the timing of egg-laying, taking advantage of intermittent resource pulses to provision their offspring. Quantification of the climatic conditions associated with variation in breeding is essential for understanding reproductive phenology and adaptive responses to a changing climate. We use a novel dataset from Australia to test long-established ideas about which climatic factors may govern avian breeding patterns. We combine ~146 000 breeding observations (first egg-laying dates) from 327 species with daily measures of minimum temperature, maximum temperature and precipitation to examine the responsiveness of bird breeding to local climate conditions. Across five biomes we quantify and compare the difference in temperature and precipitation during each breeding event relative to 'average' conditions at each location (i.e. conditions during the one-year period either side of a breeding event). For a smaller subset of species, we examine responses to temperature and precipitation in birds breeding across multiple biomes. These biomes are arrayed along Australia's north to south temperature gradient, and east to west aridity gradient. We found that breeding is non-random in relation to climate. Within biomes, most species breed when temperature, precipitation, or both were distinctly different than the average conditions. Additionally, there is both intra-and inter-specific variation in the climatic conditions under which species lay eggs across aridity and temperature gradients. Breeding in hot and arid regions is in part driven by the lagged effect of previous rainfall, however, hot temperatures are the primary constraint. These findings imply that opportunistic breeding in response to localised climate, independent of day-length cues, may be relatively common in Australian birds. We conclude that breeding is likely closely associated with patterns of vegetation productivity and food resources, and limited by physiological stress resulting particularly from extreme temperature.

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Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation

Cited by 44 publications

References 102 publications

Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements

Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements

Primary productivity is related to niche width in the Australian Wet Tropics

Variation in the timing of avian egg‐laying in relation to climate

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