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![Page 1: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/1.jpg)
Successional processes
Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.
Task S7 Characterize soil microbial community
composition among successional stages and seasons in floodplain and upland ecosystems.
How do plant, animal and microbial communities change through succession and what are the consequences for ecosystem
processes?
![Page 2: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/2.jpg)
Studying plant-microbial interactions in the cycling of soil C and N
(The black box approach)
Soil C and N levels are determined by the balance between organic matter inputs and losses due to decomposition, erosion and leaching.
Plant inputs– Litterfall– Root turnover– Exudation
Soil microbial community– Decomposition– Formation of organic matter
Schimel et al 2006
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Microbial contributions to soil C storage
What role does microbialcommunity composition play insoil C sequestration?
• Microbial growth efficiency• Recalcitrance of microbially-
derived organic matter
How does community composition change across successional development?
• Substrate availability• Substrate quality
Six et al 2006
![Page 4: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/4.jpg)
Proposed research
Assess soil microbial composition and biomass along floodplain and upland chronosequences using PFLA analysis.
WHY?
In order to develop and test hypotheses about the role of soil microbes in C cycling in forested ecosystems of interior Alaska, we need to have empirical observations of how community structure varies over time and space.
![Page 5: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/5.jpg)
PLFA
• Unlike CF methods, PLFA is useful as a proxy for living and possibly active biomass– Phosphate group is quickly consumed upon cell death– Not found in storage products– Found in relatively constant proportion of the biomass
• Great structural diversity, coupled with high biological specificity
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Taxonomic groupsFatty Acid Microbial Group15:0i, 17:0i, 15:0a, etc.. Gram positive bacteria
cy17:0, cy19:0, 18:111c Gram negative bacteria (also cy19:0 gm+)
10 Me18:0, 10 Me17:0, 10 Me16:0
Actinomycetes
18:26,9, 18:19c Fungi
20:4 6 Protozoan
16:1 5 Arbuscular mycorrhizal fungi
18:18c Methanotrophs
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Experimental design
• All major stages of succession in FP (n=5) and UP (n=3) communities
• 3-5 replicate stands per stage• 3 sampling periods
– May– Mid July– Late September
• 2 horizons– O (integrated organic)– A (mineral)
• 50 cores composited from each 30m x 30m plot
• 2+ years??
![Page 8: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/8.jpg)
Predictions
Broader patterns• Microbial biomass ↑ along the
chronosequence.• FP: Microbial community shifts
from bacterial-dominated to fungal-dominated over succession. UP: ↓ B:F.
• Potential for vertical stratification in community structure as a function of substrate availability and water-filled pore space.
Seasonal patterns• Bacterial:Fungal ↓ seasonally.
![Page 9: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/9.jpg)
Successional processes
Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.
Task S8Determine the direct and interactive effects of
soil resources, microclimate, and microbial symbionts on the cumulative nitrogen fixation through succession by alder in floodplain and
upland ecosystems.
How do plant, animal and microbial communities change through succession and what are the consequences for ecosystem
processes?
![Page 10: Successional processes Hypothesis: Climate influences the rate and trajectory of succession by altering disturbance regime and the abundance of key species.](https://reader035.fdocuments.in/reader035/viewer/2022062801/56649e385503460f94b283ce/html5/thumbnails/10.jpg)
Physiological ecology of the Alnus-Frankia-EMF tripartite
A. tenuifolia – a key player in the N economy of floodplain forest ecosystems in interior AK
Persists throughout successional development
How important are coordinated changes in ectomycorrhizal and Frankia associations of
alder in enabling species persistence and N fixation
capacity throughout succession?
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Objectives
1. Identify EMF composition and functional traits in Alnus tenuifolia across a 200 year floodplain chronosequence
2. Characterize the ecophysiology of host selection for EMF in response to N and P fertilization in field plots, and in response to controlled partner choice experiments in the greenhouse.
10 15 20 25 30 35
Leaf N:P Ratio
-2.5
-2.0
-1.5
-1.0
-0.5
Leaf
15 N
(‰)
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Hypothesis
Alder shifts associations with ectomycorrhizal species based on
variation in plant demand for N and P, combined with the availability and forms of
these nutrients in soil.
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Objective 1: Describe EMF community composition and functional traits across succession
Prediction: Successional nutrient gradients favor selection of different fungal species across successional stages.
Task 1 - Extract DNAs from randomly subsampled EM root tips (control plots) and identify fungal associates through PCR and sequence analysis of the ITS region
Seasonality of mycorrhizal development
Task 2 - Determine whether the activities of key enzymes related to nutrient acquisition vary among fungal associates and successional stages
Acid phosphatase and phytase activity in single root tips using methylumbelliferone (MU)-labelled fluorescent substrate analogues.
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Objective 2: Characterize host selection of EMF in response to N and P fertilization
Prediction: N fertilization will have the greatest effect on N-mobilizing EMF species and enzymes in late succession, while P fertilization will down-regulate acid phosphatase activity primarily in early succession
Task 1 - Extract and sequence DNAs from randomly subsampled EM root tips across N and P ammended plots
Task 2 – Controlled greenhouse experiment to examine the capacities of the dominant alder EMF species to mobilize different forms of P, organic vs. inorganic.
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Field study
3 successional stages Alder, balsam poplar, white spruce
3 sampling periods
June, mid-July, early September 3 stand replications
20m x 20m plot divided into 16 5m x 5m subplots
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Results (to date)
• Overall EMF diversity appears low– Strong core to core as well as site to site
variation– Most sites ‘appear’ to be dominated by <6
morphotypes with several ‘rare’ morphotypes mixed within.
• Fine root development delayed in alder relative to other taxon