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Linking physiological traits and species abundance to invasion resistance

Jeremy James Framework

community composition influences ecosystem properties

• Much emphasis on effects of functional group diversity on ecosystem properties

• Invasive plant management can be improved by managing plant communities based on functional traits as opposed to functional groups Outline • An example of how functional traits influence ecosystem properties (N capture and invasion) – Traits related to N capture – Trait effects on ecosystems are moderated by species abundance

• What traits might be important to consider when revegetating areas prone to invasion? – At the seedling stage traits affecting initial growth rate important

• Conclusions and future directions Functional group diversity, nitrogen capture and invasion resistance Study site

Group Code Common Name Scientific Name Annual BRTE cheatgrass L. Annual TACA medusahead caput-medusae (L.) Nevski Bunchgrass PSSP bluebunch wheatgrass (Pursh) A. Löve Bunchgrass ELEL bottlebrush squirreltail elymoides (Raf.) Swezey Bunchgrass POSE Sandberg’s bluegrass J. Presl LOTR nineleaf biscuitroot Lomatium triternatum (Pursh) Coult. & Rose Forb CRIN grey hawksbeard Crepis intermedia Gray

Experimental design

• 15N was injected into soils around 7 study species • Injections were made: – 3 times during the growing season (April, May June) – At 2 soil depth (2-7 cm, 17-22 cm) + - – Using 2 forms of N (NH4 , NO3 ) • Removal plots – Medusahead establishment in plots where different functional groups removed N partitioning through time

April May 60

40

20 N capture (% of each species total) 15 Annuals Bunchgrasses Sandberg N partitioning by soil depth

100 2-7 cm 17-22 cm 80

60

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20 N capture (% of each species total) each species N capture (% of 15 Annuals Bunchgrasses Sandberg Forbs Integrating N uptake patterns and species abundance Influence on ecosystem = trait × abundance

Portion of community biomass

annuals Nitrogen uptake × bunchgrasses Sandberg forbs Total Ncapture

15N capture (mg m-2) 0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 1.0 2.0 3.0 nul ucgassSnbr Forbs Sandberg Bunchgrasses Annuals 17-22 cm 2-7 cm June May April NO NH 4 3 + - T. caput-medusae ( m-2) 100 200 300 Removal plots removed Nothing a removed forbs Annual a removed forbs Perennial a removed Bunchgrasses b A trait based approach for managing invasives

• Conventional groupings encompass a wide range of trait differences

• Different traits likely influence different ecosystem properties

• Effective invasive plant management requires an understanding of traits allowing invaders to outperform natives Trait variation of desirable species • Do you want to: – maximize trait variation – maximize a trait

D A C B What traits should be considered?

• Relative growth rate (RGR) is a key Native grass trait to consider • Invasives often have a higher RGR • Seed → seedling stage –Plant size Invasive grass – Resource capture • Influences competitive interactions and survival Components of RGR

• RGR (mg g-1 d-1) has two components – Leaf area ratio (LAR, m2 kg-1), the amount of leaf area per unit total plant mass

– Net assimilation rate (NAR, g m-2 d-1), the rate of dry mass gain per unit leaf area

RGR (mg g-1 d-1) = LAR (m2 kg-1) x NAR (g m-2 d-1) Decomposition of LAR

Leaf area ratio (LAR, m2 kg-1), the amount of leaf area per unit total plant mass, can increase by: 1. Adding more leaf biomass • Leaf mass ratio (LMR) amount of leaf mass per unit plant mass 2. Making more leaf area per unit biomass • Specific leaf area (SLA) amount of leaf area per unit leaf mass

LAR = SLA x LMR Decomposition of NAR

•NAR (g m2 d-1) rate of dry mass gain per unit leaf area

• Is the net balance of: – Photosynthetic carbon gain per unit leaf area minus carbon loss through respiration

– Influenced by how efficiently plants use nitrogen (leaf N productivity) and how much N is allocated to leaves. Traits driving RGR variation

SLA -1 (m2 kg ) LAR -1 (m2 kg ) LMR RGR (g g-1) (mg g-1 d-1) NAR (g m-2 d-1) Leaf N productivity (g leaf g N-1 d-1)

Leaf N concentration (g N m-2) Approach

• Use model to examine RGR traits in 3 invasive annual grasses, 3 perennial bunchgrasses, 6 invasive forbs, 6 desirable forbs

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0.20 0.18 0.16 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00

) d g (g RGR

-1 -1 RGR variation among grasses

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0.15 0.10 0.05 s

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-1 -1 RGR variation among forbs Traits driving RGR variation

InvasiveInvasive vs. desirable vs. desirable forbs grasses

SLA -1 (m2 kg ) LAR -1 (m2 kg ) LMR RGR (g g-1) (mg g-1 d-1) NAR (g m-2 d-1) Leaf N productivity (g leaf g N-1 d-1)

Leaf N concentration (g N m-2) Toward trait-based management of invasives

• This involves identifying: 1. The specific ecosystem property or processes that we want to manage/ traits of the invader

2. The traits likely to have the largest impact on the property or processes

3. Trait variation and abundance in your desirable species pool • May only need to consider a handful of traits to maximize invasion resistance Traits to consider in desirable species pool

1. Get biomass established and get it fast – Target species with high RGR • High SLA and high nitrogen productivity

2. Select species that differ in phenology

3. Select species that differ in root distribution Questions and comments