Source: Dalarna 4,581 2,234 10,727 134,823 Wildlife Damage Gävleborg 4,452 1,072 2,611 115,658 Centre Västernorrland 840 1,927 787 36,556 EPA Jämtland 4,531 408 2,730 20,173 (2015). Västerbotten 1,692 701 413 2,844 Table S3 Norrbotten 1,741 0 0 2,878 Best Linear Unbiased Predictor (BLUP) estimates, corresponding to results in Table 1 (for wolves and lynxes) and Table A2, model 1.2 (for brown bears). County Brown bear Lynx Wolf Stockholm -0.087 -0.057 -0.352 Uppsala 0.010 0.534 Södermanland -0.256 -0.095 Östergötland -0.629 -0.107 Jönköping 0.045 0.533 -0.144 Kronoberg -0.195 0.075 Kalmar -0.230 0.123 Blekinge -0.009 0.057 Scania 0.013 -0.131 Halland 0.003 0.462 0.312 Västra Götaland 0.007 0.595 0.370 Värmland 0.005 0.363 0.333 Örebro 0.040 -0.308 0.041 Västmanlanland 0.085 -0.733* Dalarna 0.120 0.191 0.488 Gävleborg -0.029 -0.458 -0.385 Västernorrland -0.099 -0.111 -0.296 Jämtland 0.008 -0.085 -0.338 Västerbotten -0.046 0.133 0.257 Norrbotten 0.034 -0.046 -0.010
Dalarna 4,581 2,234 10,727 134,823 Gävleborg 4,452 1,072 2,611 115,658 Västernorrland 840 1,927 787 36,556 Jämtland 4,531 408 2,730 20,173 Västerbotten 1,692 701 413 2,844 Norrbotten 1,741 0 0 2,878 Source: Wildlife Damage Centre EPA (2015). Table S3 Best Linear Unbiased Predictor (BLUP) estimates, corresponding to results in Table 1 (for wolves and lynxes) and Table A2, model 1.2 (for brown bears). County Brown bear Lynx Wolf Stockholm -0.087 -0.057 -0.352 Uppsala 0.010 0.534 Södermanland -0.256 -0.095 Östergötland -0.629 -0.107 Jönköping 0.045 0.533 -0.144 Kronoberg -0.195 0.075 Kalmar -0.230 0.123 Blekinge -0.009 0.057 Scania 0.013 -0.131 Halland 0.003 0.462 0.312 Västra Götaland 0.007 0.595 0.370 Värmland 0.005 0.363 0.333 Örebro 0.040 -0.308 0.041 Västmanlanland 0.085 -0.733* Dalarna 0.120 0.191 0.488 Gävleborg -0.029 -0.458 -0.385 Västernorrland -0.099 -0.111 -0.296 Jämtland 0.008 -0.085 -0.338 Västerbotten -0.046 0.133 0.257 Norrbotten 0.034 -0.046 -0.010