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Carbon stocks in a miombo woodland landscape: spatial distributions and controls Emily Woollen, Mathew Williams, Casey Ryan and John Grace The University.

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Presentation on theme: "Carbon stocks in a miombo woodland landscape: spatial distributions and controls Emily Woollen, Mathew Williams, Casey Ryan and John Grace The University."— Presentation transcript:

1 Carbon stocks in a miombo woodland landscape: spatial distributions and controls Emily Woollen, Mathew Williams, Casey Ryan and John Grace The University of Edinburgh, School of GeoSciences EGU - 6 th April 2011, SOC dynamics at different spatial scales

2 Miombo woodland Figure: Distribution and extent of miombo woodland in southern Africa. Source: Desanker et al. (1995) The Miombo Network: Framework for a Terrestrial Transect Study of Land-Use and Land-cover Change in the Miombo Ecosystem of Central Africa, Rep. No. 41. The International Geosphere-Biosphere Programme, Stockholm, Sweden. Most common savanna woodland type 2.7 million km 2 Livelihoods of millions

3 Photo: Casey Ryan Brachystegia, Julbernardia & Isoberlinia C4 grasses Seasonally dry deciduous woodlands Highly spatially heterogeneous

4 What we don’t know - Previous work shows complex variations in soil C - Soil textural controls on C are not well understood - Links between soil and vegetation C unclear Williams et al. (2008) Forest Ecology and Manag. (254): Ryan & Williams (in press) Biotropica Williams et al. (2008)

5 1) How do C stocks in soils and vegetation vary across miombo woodland landscapes? 2) To what degree and at what scales are these stocks linked? Key questions

6 Transect River No IKONOS data Transect Vegetation Bare/wet ground IKONOS Km Nhambita Chitengo Gorongosa National Park Landsat 5 TM Sampling

7 Cyclic Sampling Transect continues 314 m 2 1m21m2 25 m radius 3 m 10m radius 25 m50 m 9 m 0.57 ha 314 m 2 1 m 2 Fine scale - Soil 5 cm - Soil 30 cm - Litter Medium scale - Leaf area index - Soil texture - AGB > 5 cm Coarse scale - AGB > 30 cm - Grass biomass 100 m One cycle 75 m

8 Vegetation trends

9 Soil trends

10 Spatial dependence (fine scale) Range = 14 m Range = 26 m Range = 17 m

11 Spatial dependence (coarse scale) Range = 1426 m Range = 1592 m

12 Spatial correlations R 2 = 0.82 P < 0.01 y = 0.05x-2.86 R 2 = 0.54 P < 0.01 y = x R 2 = 0.24 P < 0.01 y = 0.14x+9.97 R 2 = 0.38 P < 0.01 y = 3.99x+16.71

13 Spatial correlations Quantile regressionLinear regression P < 0.01

14 Impermeable horizon Seasonally Saturated horizon Higher LAI Greater woody biomass volumes s meters Clay and particle transport Less woody biomass volumes Greater soil C in the top 0.05 m Conceptual model Coarse textured soil Less soil C in the deeper 0.3 m Fine textured soil Greater soil C in the deeper 0.3 m Less litter Less soil C in the top 0.05 m More Litter 1 -10s m Lower LAI Microrelief controls C stock distributions Differing bedrock and weathering processes

15 Acknowledgements: Funding: Natural Environment Research Council Logistical support: Envirotrade Species identification: Meg Coates-Palgrave Field assistants: Albasine Mucavele, Alfonso Jornal, Ramaio Saimone, Neto Moulinho, Zito Lindo and Gary Goss Contact:


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