Weißes Alpenschaf
Country
Specie
ISO3
AUT
Year
2017
Trend
increasing
Population min
106
Population max
200
Population figured based on
census at breed level
Breeding male
9
Breeding female
97
Females registered in herdbooks
61
Females bred pure
100
Herds
7
Herds size (avg)
15
AI used
no
Male in AI
0
In situ conservation programmes in place
no
Reliability
very reliable
Geographical classification
Local
Walliser Schwarznasenschaf
Country
Specie
ISO3
AUT
Year
2019
Trend
increasing
Population min
914
Population max
1500
Population figured based on
census at breed level
Breeding male
217
Breeding female
697
Females registered in herdbooks
521
Females bred pure
100
Herds
148
Herds size (avg)
6
AI used
no
Male in AI
0
In situ conservation programmes in place
no
Reliability
very reliable
Geographical classification
Regional
Walliser Schwarznasenschaf
Country
Specie
ISO3
AUT
Year
2018
Trend
increasing
Population min
719
Population max
1000
Population figured based on
census at breed level
Breeding male
105
Breeding female
614
Females registered in herdbooks
476
Females bred pure
100
Herds
147
Herds size (avg)
5
AI used
no
Male in AI
0
In situ conservation programmes in place
no
Reliability
very reliable
Geographical classification
Regional
Walliser Schwarznasenschaf
Country
Specie
ISO3
AUT
Year
2017
Trend
increasing
Population min
638
Population max
1000
Population figured based on
census at breed level
Breeding male
81
Breeding female
557
Females registered in herdbooks
425
Females bred pure
100
Herds
122
Herds size (avg)
5
AI used
no
Male in AI
0
In situ conservation programmes in place
no
Reliability
very reliable
Geographical classification
Regional
Waldschaf
Country
Specie
ISO3
AUT
Year
2019
Trend
increasing
Population min
3542
Population max
6000
Population figured based on
census at breed level
Breeding male
842
Breeding female
2700
Females registered in herdbooks
1511
Females bred pure
100
Herds
151
Herds size (avg)
23
AI used
no
Male in AI
0
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Local
Waldschaf
Country
Specie
ISO3
AUT
Year
2018
Trend
increasing
Population min
2741
Population max
4000
Population figured based on
census at breed level
Breeding male
127
Breeding female
2614
Females registered in herdbooks
1130
Females bred pure
100
Herds
150
Herds size (avg)
18
AI used
no
Male in AI
0
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Local
Waldschaf
Country
Specie
ISO3
AUT
Year
2017
Trend
increasing
Population min
2488
Population max
4000
Population figured based on
census at breed level
Breeding male
118
Breeding female
2370
Females registered in herdbooks
1114
Females bred pure
100
Herds
148
Herds size (avg)
17
AI used
yes
Male in AI
1
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Local
Tiroler Steinschaf
Country
Specie
ISO3
AUT
Year
2019
Trend
increasing
Population min
5819
Population max
7500
Population figured based on
census at breed level
Breeding male
1686
Breeding female
4133
Females registered in herdbooks
2684
Females bred pure
80
Herds
274
Herds size (avg)
21
AI used
no
Male in AI
0
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Regional
Tiroler Steinschaf
Country
Specie
ISO3
AUT
Year
2018
Trend
increasing
Population min
4284
Population max
6000
Population figured based on
census at breed level
Breeding male
208
Breeding female
4076
Females registered in herdbooks
2661
Females bred pure
80
Herds
273
Herds size (avg)
16
AI used
no
Male in AI
0
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Regional
Tiroler Steinschaf
Country
Specie
ISO3
AUT
Year
2017
Trend
increasing
Population min
3888
Population max
5000
Population figured based on
census at breed level
Breeding male
196
Breeding female
3692
Females registered in herdbooks
2665
Females bred pure
80
Herds
263
Herds size (avg)
15
AI used
no
Male in AI
0
In situ conservation programmes in place
yes
Reliability
very reliable
Geographical classification
Regional
