Revealing patterns of local species richness along environmental gradients with a novel network tool

Baudena, Mara; Sánchez, Ángel; Georg, Co-Pierre; Ruiz‐Benito, Paloma; Rodrı́guez, Miguel Á.; Zavala, Miguel Á.; Rietkerk, Max

doi:10.1038/srep11561

Cited by 13 publications

(12 citation statements)

References 49 publications

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“…In particular, Baudena et al (2013) showed that the amount of water transferred through transpiration may change up to 10 % if one considers different vegetation patterns, even with the same biomass density and the same spatial scale. Recent efforts have also been focused on downscaling remote sensing information to simulate subgrid surface heterogeneities (e.g., Peng et al, 2016;Stoy and Quaife, 2015), and to scale up information across scales using network techniques (Baudena et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Upscaling methane emission hotspots in boreal peatlands

et al. 2016

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Geosci. Model Dev., 9, 915-926, 2016 www.geosci-model-dev.net/9/915/2016/ doi:10.5194/gmd-9-915-2016 Abstract. Upscaling the properties and effects of small-scale surface heterogeneities to larger scales is a challenging issue in land surface modeling. We developed a novel approach to upscale local methane emissions in a boreal peatland from the micro-topographic scale to the landscape scale. We based this new parameterization on the analysis of the water table pattern generated by the Hummock-Hollow model, a microtopography resolving model for peatland hydrology. We introduce this parameterization of methane hotspots in a global model-like version of the Hummock-Hollow model that underestimates methane emissions. We tested the robustness of the parameterization by simulating methane emissions for the next century, forcing the model with three different RCP scenarios. The Hotspot parameterization, despite being calibrated for the 1976-2005 climatology, mimics the output of the micro-topography resolving model for all the simulated scenarios. The new approach bridges the scale gap of methane emissions between this version of the model and the configuration explicitly resolving micro-topography.

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Section: Introductionmentioning

confidence: 99%

Upscaling methane emission hotspots in boreal peatlands

et al. 2016

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“…Also, modeling hydroecological effects of "slower" runoff from a peatland can potentially influence vegetation dynamics of mosses in models including moss dynamics, e.g., Porada et al (2013). The HH model is novel in the physical representation of lateral fluxes of water among hummocks and hollows, but other models representing surface hetero-geneity controls on water table (e.g., Shi et al, 2015) and methane fluxes (e.g., Bohn et al, 2013) display similar effects. Therefore, and because of the process-based nature of the HH model, we are confident in hypothesizing similar results if a Hotspot-like parameterization was to be applied to other models.…”

Section: Methane Emissions For 1976-2005mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Effects of small-scale heterogeneities on land-atmosphere fluxes are of especial interest in northern peatlands because of the great amount of carbon stored in the soil (Hugelius et al, 2013;Tarnocai et al, 2009). Recent studies have shown that greenhouse gas fluxes, in particular of methane, strongly depend on the micro-topographic features of such environments (Gong et al, 2013;Couwenberg and Fritz, 2012), and that local hydrology is regulated by micro-relief (Shi et al, 2015;Gong et al, 2012;Bohn et al, 2013;Van der Ploeg et al, 2012). In particular, a typical feature of methaneemitting landscapes is the nonlinear relationship between fluxes and emitting surface area.…”

Section: Introductionmentioning

confidence: 99%

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Upscaling methane emission hotspots in boreal peatlands

Aleina¹,

Runkle²,

Bruecher³

et al. 2015

Preprint

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Abstract. Upscaling the properties and the effects of small-scale surface heterogeneities to larger scales is a challenging issue in land surface modeling. We developed a novel approach to upscale local methane emissions in a boreal peatland from the micro-topographic scale to the landscape-scale. We based this new parameterization on the analysis of the water table pattern generated by the Hummock–Hollow model, a micro-topography resolving model for peatland hydrology. We introduce this parameterization of methane hotspots in a global model-like version of the Hummock–Hollow model, that underestimates methane emissions. We tested the robustness of the parameterization by simulating methane emissions for the next century forcing the model with three different RCP scenarios. The Hotspot parameterization, despite being calibrated for the 1976–2005 climatology, mimics the output of the micro-topography resolving model for all the simulated scenarios. The new approach bridges the scale gap of methane emissions between this version of the model and the configuration explicitly resolving micro-topography.

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“…The crucial mechanisms behind altitudinal patterns of taxon richness include the combined effects of area, climate, and the mid-domain effect (MDE; McCain 2009 ). Mean annual temperature (MAT) and mean annual precipitation (MAP) could also be responsible for a large part of the variance in plant taxon richness (O’Brien et al 1998 ; Baudena et al 2015 ). The MDE has been proposed as one important determinant for hump-shaped patterns of taxon richness along the altitudinal gradient (Colwell et al 2004 ; Kluge et al 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Altitudinal patterns of plant diversity on the Jade Dragon Snow Mountain, southwestern China

Zhang

et al. 2016

SpringerPlus

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BackgroundUnderstanding altitudinal patterns of biological diversity and their underlying mechanisms is critically important for biodiversity conservation in mountainous regions. The contribution of area to plant diversity patterns is widely acknowledged and may mask the effects of other determinant factors. In this context, it is important to examine altitudinal patterns of corrected taxon richness by eliminating the area effect. Here we adopt two methods to correct observed taxon richness: a power-law relationship between richness and area, hereafter “method 1”; and richness counted in equal-area altitudinal bands, hereafter “method 2”. We compare these two methods on the Jade Dragon Snow Mountain, which is the nearest large-scale altitudinal gradient to the Equator in the Northern Hemisphere.ResultsWe find that seed plant species richness, genus richness, family richness, and species richness of trees, shrubs, herbs and Groups I–III (species with elevational range size <150, between 150 and 500, and >500 m, respectively) display distinct hump-shaped patterns along the equal-elevation altitudinal gradient. The corrected taxon richness based on method 2 (TRcor2) also shows hump-shaped patterns for all plant groups, while the one based on method 1 (TRcor1) does not. As for the abiotic factors influencing the patterns, mean annual temperature, mean annual precipitation, and mid-domain effect explain a larger part of the variation in TRcor2 than in TRcor1.ConclusionsIn conclusion, for biodiversity patterns on the Jade Dragon Snow Mountain, method 2 preserves the significant influences of abiotic factors to the greatest degree while eliminating the area effect. Our results thus reveal that although the classical method 1 has earned more attention and approval in previous research, method 2 can perform better under certain circumstances. We not only confirm the essential contribution of method 1 in community ecology, but also highlight the significant role of method 2 in eliminating the area effect, and call for more application of method 2 in further macroecological studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s40064-016-3052-1) contains supplementary material, which is available to authorized users.

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Revealing patterns of local species richness along environmental gradients with a novel network tool

Cited by 13 publications

References 49 publications

Upscaling methane emission hotspots in boreal peatlands

Upscaling methane emission hotspots in boreal peatlands

Upscaling methane emission hotspots in boreal peatlands

Altitudinal patterns of plant diversity on the Jade Dragon Snow Mountain, southwestern China

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