About lortie

ecologist & runner.

Biology for environmental management posters

Biology for environmental management class was an examination of the capacity for biological and ecological levers from primary research to be used for management and social good.

 

BIOL4265 posters

https://figshare.com/s/8f911be3597eafccd7b0

https://doi.org/10.6084/m9.figshare.7469519.v1

https://figshare.com/articles/Biodiversity_and_Species_Lost/7411688

https://figshare.com/articles/_Wave_Goodbye_to_Coral_Reefs/7413128

https://figshare.com/articles/BIOL4265_-Deforestation_and_Climate_Change/7381115

https://figshare.com/articles/In_Hot_Water_A_Global_Loss_of_Biodiversity/7409621

https://figshare.com/articles/Green_Spaces_Poster/7469519/1

 

Quick notes on plant harvesting

Ok, our competition trials never look that good.

useful paper: Designs for greenhouse studies of interactions between plants

Protocols

  1. Aboveground harvest: clip from soil surface.
  2. Belowground harvest: need to harvest entire plant at once by removing plants and roots from pot experiments (for instance) and gently washing to remove all soil but keeping roots and shoots intact.  Then, snip aboveground growth from below.
  3. Depending on level of replication and lowest possible independent sample unit, harvest one individual, one species, or all individuals of one species per pot into independent paper bags.
  4. Place in ovens at 68F for at least 2 days.
  5. Leave all plants in paper bags in oven until the moment you are ready to weigh.
  6. Remove from paper bags to weigh for small plants. Typically, I weigh to 3-4 decimal grams for small desert annual plants.
  7. Return plants to bag, do not return to oven, store in a paper box for a few weeks or until all data entered and checked.

#density series idea notes

Concepts

Do native species density trials at two scale – micro and mesoscale using pots and large plastic buckets. Mix of potting soil and sand best – 50:50.

Consider intra and interspecific competition series – with replacement, i.e. keep net densities per pot consistent.  Finally, perhaps consider competition with an exotic such as red brome.

Designs
with and without shade mimic in greenhouse
umbrella over buckets in mesocosm experiment
natives against brome in density series

Natives

a

b

c

then a*b, a*c, b*c

Or run each out in solo then against red brome.

 

Round 1.
a vs rb
b vs rb
c vs rb
at 1,2, 5, 10, 25 seeds etc or a simple with-replacement density series.
THEN, ready for it…. red brome from cali and red brome from Israel
Round 2. 
a+b vs rb
etc.

 

Scales

 

 

#Carrizo National Monument research update 2018_2

We had a more ambitious set of goals this season.

Goals

  1. Habitat use frequency estimates. Tools: a. telemetry of blunt-nosed leopard lizard with a total at least 1200 relocations split between AM/PM with an estimate of shrub-open and behavior. b. cam traps at shrub-open on still mode.
  2. Behavior estimates. Tools: a. cam traps on video mode at a total of 100 hours recording time. b. direct observation (with recording too) by humans of lizards and grasshoppers at a total of 100hrs.
  3. Shrub-plant-animal interaction estimates. Tools: exclosures at two sites to exclude different taxa in shrub-open mesohabitats. a. cages. b. cams c. vacuums. d. sweeps.
  4. Temperature profile estimates. Tools: a. pulse of collars on lizards b. loggers at microhabitat scales.
  5. Census grasshoppers. Tools: stick, sweep, and vacuum. Also do direct observation to assess whether they are significant consumers.

Teams

1a. Mario and Steph. Goals 1,2,3,5.

1b. Malory and Nargol. Goals 1,2,5.

2. Emily and Kat. Goals 1 & 4.

Extensions

Deploy one set of cam traps on still mode at a total no-shrub zone.

Get a solid handle on behavior by verts and inverts in the context of paired interactions with plants (at micro-scale) and shrubs at mesoscale.

Need an assay of insect diversity.

Animal sampling contrast protocol

Telemetry-scat design

Predictions to test

Do relocations map onto where scat is found too?

Is there scat fidelity from day to day?

Does telemetry relocation or conversely scat presence within a likelihood MCP (polygon estimating 95% percent change animals present within area) correlate with one another?

ie – imagine a telemetry polygon and a scat one too – never been done!! and then we statistically overlay them.

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How to test

1. do relocations this saturday (day #1), enter into usual relocation datasheet attached.  Do morning and afternoon.

Enter data that evening and do a baton handoff to the scat team.

2. On sunday (day #2), scat people ‘check’ all locations where there was certainly a lizard.  In each day 1 relocation, is there scat the next day!!  So, imagine day 1 there were 100 spots where lizards where spotted. On day 2, what proportion of these have scat deposited.

3. On sunday (day #2), team telemetry repeats process and finds another 100 spots or whatever they can where they see lizards.  Same process – enter and hand off to team scat.

4. On Monday (day 3#), same process – team scat check day 2 telemetry relocations for scat – so we are holding as best we can scat scent cones etc to 1-day old and team telemetry repeats and finds new spots for next sampling.

5. On tuesday (day #4), team scat checks team telemetry relocations from the day before (day #3).

DATA OUTCOME

A total of 4 days sampling with 3 statistical days to test for scat detections with a 1-day lag where lizards were spotted. SO POWERFUL.

NOW — -as you can imagine – there are also a few bonus opportunities here…. 🙂

A.  If dogs have time, check back more than 1-day lag – ie on day #4, dogs can check ALL previous days days 3,2,1 – this gets the second main prediction – ie site fidelity. BE amazing to know this.

B. If team telemetry has the people and the receivers, it can also go the other way – team telemetry looks for lizards where there was scat detected – anywhere – the following day – so we pass the baton back and forth.

C. Team scat if they have time daily, checks other sites to fill in the region more – ie the polygon idea – to see how well regional NOT just point sampling works.