stone’s sheep situation in ne bc presentation of preliminary results march 07, 2005 conference...
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Stone’s Sheep Situation in Stone’s Sheep Situation in NE BCNE BC
Presentation of Preliminary ResultsPresentation of Preliminary Results
March 07, 2005 Conference CallMarch 07, 2005 Conference Call
Jonah KeimJonah Keim
AXYS Environmental Consulting Ltd.AXYS Environmental Consulting Ltd.
The Literature ReviewThe Literature Review
CategoryCategory BighornBighorn ThinhornThinhorn TotalTotal
Existing ResearchExisting Research 2424 2424
HabitatHabitat 55 1919 2525
PopulationPopulation 33 1414 1818
PredationPredation 44 1313 1818
HealthHealth 11 1616 1818
Disturbance & Disturbance & ManagementManagement
2222 1313 4141
TotalTotal 3737 105105 154154
Existing Research --Existing Research --comprehensive, multi-year, baseline collectionscomprehensive, multi-year, baseline collections
6 projects identified:6 projects identified:
- K. Parker: UNBC ongoing- K. Parker: UNBC ongoing
- Peace Williston: ongoing- Peace Williston: ongoing
- Seip 1983- Seip 1983
- Hoefs and Cowan 1979- Hoefs and Cowan 1979
- Luckhurst 1973- Luckhurst 1973
- Geist 1971- Geist 1971
Existing ResearchExisting Research Stone’s sheep study plan – baseline study Stone’s sheep study plan – baseline study
objectives:objectives:1.1. To define habitat use and selection by Stone’s SheepTo define habitat use and selection by Stone’s Sheep
2.2. To assess health of northern sheep herdsTo assess health of northern sheep herds
3.3. To quantify levels and causes of mortality in sheep, To quantify levels and causes of mortality in sheep, adults and juvenilesadults and juveniles
4.4. To assess population status of sheepTo assess population status of sheep
5.5. To determine movements and resource selection by To determine movements and resource selection by predatorspredators
6.6. To define the influence of factors in optimum To define the influence of factors in optimum foraging strategiesforaging strategies
Existing Research,Existing Research,what have we gained?what have we gained?
Obj. 1Obj. 1HabitatHabitat
Obj. 2Obj. 2HealthHealth
Obj. 3Obj. 3MortalityMortality
Obj. 4Obj. 4Population Population StatusStatus
Obj. 5Obj. 5PredatorsPredators
Obj. 6Obj. 6Foraging Foraging StrategiesStrategies
Depth of Depth of UnderstandingUnderstanding
(Summary of (Summary of all projects)all projects)
High to High to V-HighV-High
Nil to Nil to LowLow
Low to Low to ModerateModerate
LowLow Moderate Moderate to Lowto Low
High to High to V-HighV-High
Research projects were assessed against the 6 objectives for understanding learned: Nil, Low, Moderate, High, V-High
Population StatusPopulation Status
data from 15 ground and aerial inventories data from 15 ground and aerial inventories between 1969 and 2004 were acquired; between 1969 and 2004 were acquired; survey objectives, survey effort, survey survey objectives, survey effort, survey area, and survey intensity variedarea, and survey intensity varied
All data was for areas in or in close All data was for areas in or in close proximity to the Besa Prophet Pre-tenure proximity to the Besa Prophet Pre-tenure area or the Sulphur 8 Mile Pre-tenure areaarea or the Sulphur 8 Mile Pre-tenure area– Excluding Peace Williston Study.Excluding Peace Williston Study.
Data – how far back did we Data – how far back did we really look? really look?
Population demographics Population demographics
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Lamb:Ewe Ram:Ewe
n = 12 n = 8
Sulphur8 Mile Besa Prophet
Total Count of Sheep Total Count of Sheep ObservationsObservations
Pre-tenure AreaPre-tenure Area YearYear CountCount
S8MS8M 19771977 997997
S8MS8M 20042004 888888
Besa ProphetBesa Prophet 19941994 536536
Besa ProphetBesa Prophet 20022002 543543
Compulsory Inspection Data – Compulsory Inspection Data – Region 7BRegion 7B
0
50
100
150
200
250
300
350
400
19761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004
Year
Hu
nte
r K
ills
6.5
7
7.5
8
8.5
9
9.5
Ho
rn A
ge
Hunter Kills Avg. Age Linear (Avg. Age)
Compulsory Inspection Data – Compulsory Inspection Data – MU 7-42 (Besa Prophet)MU 7-42 (Besa Prophet)
Compulsory Inspection Data – Compulsory Inspection Data – MU 7-54 (S8M)MU 7-54 (S8M)
0
5
10
15
20
25
30
35
40
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
Year
Hu
nte
r K
ills
N R T
Weather and ProductivityWeather and Productivity
-20
-15
-10
-5
0
5
10
15
20
19711972197319741975197619771978197919801981198219831984198519861987198819891990199119921993199419951996199719981999
-1.5
-1
-0.5
0
0.5
1
1.5Weather Index Horn Growth Index
Habitat – Habitat – Management is most often applied from Management is most often applied from
a spatial perspectivea spatial perspective
There are learnings -take from what we know: There are learnings -take from what we know: – Sheep Behaviour - V. High Habitat Fidelity Sheep Behaviour - V. High Habitat Fidelity
– Topography is a key (slope, aspect, ET) Topography is a key (slope, aspect, ET)
– Forage productivityForage productivity
– Apply WLAP model for Winter Range and Apply WLAP model for Winter Range and confirm use from existing inventory data. confirm use from existing inventory data. Digitize historical geo-referenced data. Digitize historical geo-referenced data.
Winter Habitat ModelWinter Habitat ModelAnalysis from K. ParkerAnalysis from K. Parker
Confirm Use from Confirm Use from Existing Data Existing Data
HealthHealth
We do not have enough data on Stone’s Health.We do not have enough data on Stone’s Health. To date, nothing out of the expected range of To date, nothing out of the expected range of
variability has been observed from recent looks at variability has been observed from recent looks at serum samples and from parasite surveys in MK.serum samples and from parasite surveys in MK.
Awareness – domestic sheep and goats.Awareness – domestic sheep and goats. Incorporate a suitable long term sampling protocol Incorporate a suitable long term sampling protocol
– consider trying the outfitter sample collection – consider trying the outfitter sample collection system used in NWT by Dr. E. Jenkins system used in NWT by Dr. E. Jenkins
PredationPredation
Conflicting data on relationships between wolves Conflicting data on relationships between wolves and sheep:and sheep:– Opportunistic kills at low levels – sheep are not a major Opportunistic kills at low levels – sheep are not a major
prey source for wolves (Carey / Heofs)prey source for wolves (Carey / Heofs)
– Sheep population levels have cycled with wolf controls Sheep population levels have cycled with wolf controls (Elliot, Bergerud)(Elliot, Bergerud)
– The question::: What about the multiple prey factor?? –The question::: What about the multiple prey factor?? –Parker?Parker?
– None of the existing research studies specifically None of the existing research studies specifically highlight predation as a major population driver highlight predation as a major population driver
Disturbance & Access Disturbance & Access ManagementManagement
Sheep are sensitive to aerial disturbancesSheep are sensitive to aerial disturbances– heli-recreation needs to be consideredheli-recreation needs to be considered
Aerial Telemetry and wildlife capture has been shown to Aerial Telemetry and wildlife capture has been shown to displace Mtn. Goats and caribou and to influence study displace Mtn. Goats and caribou and to influence study results.results.
Sheep have done well with industrial disturbances Sheep have done well with industrial disturbances (mines) but do not do well with increased hunting (mines) but do not do well with increased hunting pressure and other results of increased access. pressure and other results of increased access. - Access controls are the major factor to be addressed. - Access controls are the major factor to be addressed.
From Problem Analysis to From Problem Analysis to Suggested Solutions Suggested Solutions
1.1. Use what we have already learnedUse what we have already learned1.1. Digitize historical geo-referenced dataDigitize historical geo-referenced data2.2. Traditional use data collections Traditional use data collections 3.3. Start a data libraryStart a data library4.4. Apply habitat models Apply habitat models
2.2. We need long term data for population level We need long term data for population level assessments – stronger monitoring system neededassessments – stronger monitoring system needed
3.3. We need better data collections to assess health factors We need better data collections to assess health factors for Stone’s sheep – monitoring systemfor Stone’s sheep – monitoring system
4.4. WE need to be able to monitor and to test the impacts WE need to be able to monitor and to test the impacts of previous, current, and future management practices of previous, current, and future management practices against indicators for sheep – Adaptive Management. against indicators for sheep – Adaptive Management.