Management Models Applied to the Human-Wolf Conflict in Agro-Forestry-Pastoral Territories of Two Italian Protected Areas and One Spanish Game Area
Abstract
:Simple Summary
Abstract
1. Introduction
1.1. Human-Wolf Conflict
1.2. Specific Wolf Conservation Plans in EU
1.3. Specific Wolf Conservation Plans in Italy
1.4. Specific Wolf Conservation Plans in Spain (Castilla y Leòn)
2. Materials and Methods
2.1. Animals
2.2. Study Areas
2.2.1. PNALM
2.2.2. Aurunci
2.2.3. Vidriales
2.3. Models Applied to the Human-Wolf Conflict
- Livestock damages
- Finding of dead wolves
2.4. Statistical Analysis
3. Results
3.1. General Level of Conflict in Europe
- Which large carnivore species and populations are in need of greater conservation efforts based on the latest Member State reports?
- What is the appropriate scale to achieve favorable conservation status?
- How to assess a large carnivore’s “favorable conservation status in their natural range”?
- How can derogations be used in populations with unfavorable conservation status: What does recent case law say?
- How to deal with individual “bold” large carnivores?
- Favorable reference values (FRVs) and conservation status assessments at the population level: A way forward?
3.2. Specific Level of Human-Wolf Conflict into PNALM
- Analysis of the samples studied (PNALM)
3.3. Specific Level of Human-Wolf Conflict into Aurunci
- Analysis of the samples studied (Aurunci)
- The case of the reproductive tendency of the Esperia’s ponies explains the trend over time of the predatory attitude of the wolf (Aurunci)
3.4. Specific Level of Human-Wolf Conflict into Vidriales
- (a)
- the type of farming.
- (b)
- the availability of natural prey.
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Population Name | Countries | Size | Trend | |
---|---|---|---|---|
Census 2012 | Census 2016 | |||
Scandinavian | Norway, Sweden | 260–330 | c. 430 | Increase |
Karelian | Finland | 150–165 | c. 200 | Stable to increase |
Baltic | Estonia, Latvia, Lithuania, Poland | 870–1400 | 1700–2240 | Stable |
Central European lowlands | Germany, Poland | 36 groups | 780–1030 | Increase |
Carpathian | Slovakia, Czech Republic, Poland, Romania, Hungary, Serbia | 3000 | 3460–3849 | Stable |
Dinaric-Balkan | Slovenia, Croatia, Bosnia and Herzegovina, Montenegro, the former Yugoslav Republic of Macedonia, Albania, Serbia (incl. Kosovo), Greece, Bulgaria | 3900 | c. 4000 | Unknown |
Alps | Italy, France, Switzerland, Austria, Slovenia | 280 | 420–550 | Increase |
Italian peninsula | Italy | 600–800 | 1100–2400 | Slightly increasing |
Census 2007 | ||||
NW Iberian | Spain, Portugal | 2500 | 2500 | Unknown |
Sierra Morena | Spain | 1 group | 0 | Extinct |
Country | n. | Country | n. | ||
---|---|---|---|---|---|
Croatia | 1 | Slovenia | 3 | ||
Finland | 1 | Greece | 4 | ||
Germany | 1 | Romania | 5(1) | ||
Hungary | 1 | U.K. | |||
France | 2 | Spain | 5 | ||
Portugal | 3 | Italy | 21 |
PNALM | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
Sheep | 172 | 235 | 174 | 146 | 115 | 160 | 176 |
Horse | 48 | 65 | 48 | 40 | 32 | 44 | 49 |
Goat | 129 | 176 | 130 | 109 | 87 | 121 | 132 |
Cow | 82 | 112 | 82 | 69 | 55 | 76 | 84 |
Total | 431 | 588 | 434 | 364 | 289 | 401 | 441 |
Aurunci | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
Sheep | 45 | 54 | 47 | 43 | 38 | 45 | 49 |
Horse | 36 | 48 | 40 | 47 | 32 | 27 | 31 |
Goat | 30 | 49 | 43 | 34 | 33 | 41 | 42 |
Cow | 0 | 3 | 5 | 7 | 6 | 8 | 9 |
Total | 111 | 154 | 135 | 131 | 109 | 121 | 131 |
Vidriales | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
Sheep | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Horse | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Goat | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cow | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Period 1999–2017 | PNALM | Aurunci | Total |
---|---|---|---|
Accidents | 50 (36%) | 1 (20%) | 51 |
Hunting | 0 | 0 | 0 |
Control | 0 | 0 | 0 |
Unknown | 43 (31%) | 2 (40%) | 45 |
Poisoning | 31 (22%) | 0 | 31 |
Poaching | 15 (11%) | 2 (40%) | 17 |
Total dead wolves | 139 | 5 | 144 |
Damages to livestock | 2948 | 892 | 3840 |
(in heads dead 2010–2016) |
Year | Protected Area | Sheep | Goat | Cow | Horse |
---|---|---|---|---|---|
2010 | PNALM | 39.91 | 29.93 | 19.03 | 11.14 |
Aurunci | 40.38 | 26.92 | 32.69 | 0.00 | |
2011 | PNALM | 39.97 | 29.93 | 19.05 | 11.05 |
Aurunci | 35.34 | 31.90 | 31.03 | 1.72 | |
2012 | PNALM | 40.09 | 29.95 | 18.89 | 11.06 |
Aurunci | 34.42 | 31.82 | 29.87 | 3.90 | |
2013 | PNALM | 40.11 | 29.95 | 18.96 | 10.99 |
Aurunci | 33.17 | 25.63 | 35.68 | 5.53 | |
2014 | PNALM | 39.79 | 30.10 | 19.03 | 11.07 |
Aurunci | 34.84 | 30.32 | 29.03 | 5.81 | |
2015 | PNALM | 39.85 | 30.08 | 19.05 | 11.03 |
Aurunci | 37.50 | 33.93 | 22.32 | 6.25 | |
2016 | PNALM | 39.95 | 30.02 | 18.96 | 11.06 |
Aurunci | 36.50 | 31.73 | 24.04 | 6.73 |
Vivinatality | Mortality | ||||||||
---|---|---|---|---|---|---|---|---|---|
Year | Mares | Birth | Total | Neonatal | Preyed | ||||
n | n | % | n | % | n | % | n | % | |
^ 2020 | 240 | 97 | 40.42 | 62 | 63.92 *** | 9 | 9.28 | 53 | 54.64 |
2019 | 240 | 103 | 42.92 | 48 | 46.60 ** | 10 | 9.71 | 38 | 36.89 |
2018 | 240 | 108 | 45.00 | 48 | 44.44 ** | 6 | 5.56 | 42 | 38.89 |
2017 | 200 | 90 | 45.00 | 30 | 33.33 ** | 5 | 5.56 | 25 | 27.78 |
2016 | 150 | 106 | 70.67 * | 25 | 23.58 * | 4 | 3.77 | 21 | 19.81 |
2015 | 150 | 108 | 72.00 * | 25 | 23.15 * | 4 | 3.70 | 21 | 19.44 |
2014 | 150 | 113 | 75.33 * | 45 | 39.82 ** | 7 | 6.19 | 38 | 33.63 |
^ 2013 | 150 | 112 | 74.67 * | 71 | 63.39 *** | 11 | 9.82 | 60 | 53.57 |
2012 | 150 | 109 | 72.67 * | 46 | 42.20 ** | 8 | 7.34 | 38 | 34.86 |
2011 | 150 | 125 | 83.33 * | 36 | 28.80 ** | 12 | 9.60 | 24 | 19.20 |
§ 2010 | 150 | 121 | 80.67 * | 17 | 14.05 * | 10 | 8.26 | 7 | 5.79 |
2009 | 150 | 110 | 73.33 * | 12 | 10.91 * | 12 | 10.91 | 0 | 0.00 |
2008 | 150 | 115 | 76.67 * | 15 | 13.04 * | 15 | 13.04 | 0 | 0.00 |
2007 | 150 | 120 | 80.00 * | 14 | 11.67 * | 14 | 11.67 | 0 | 0.00 |
2006 | 150 | 120 | 80.00 * | 12 | 10.00 * | 12 | 10.00 | 0 | 0.00 |
2005 | 130 | 112 | 86.15 ** | 10 | 8.93 | 10 | 8.93 | 0 | 0.00 |
2004 | 120 | 108 | 90.00 *** | 6 | 5.56 | 6 | 5.56 | 0 | 0.00 |
2003 | 120 | 110 | 91.67 *** | 1 | 0.91 | 1 | 0.91 | 0 | 0.00 |
2002 | 110 | 107 | 97.27 *** | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 |
Period 1999–2017 | Castilla y León * | Vidriales |
---|---|---|
Accidents | 56 (7.98%) | 0 |
Hunting—Legal control | 300 (42.73%) | 0 |
Unknown | 15 (2.14%) | 1 |
Poisoning | 6 (0.85%) | 0 |
Poaching—Illegal control | 325 (46.30%) | 0 |
Total dead wolves | 702 | 1 |
Damages to livestock (Attacks paid for dead livestock 2010–2016) | 6813 | 0 |
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Piscopo, N.; Gentile, L.; Scioli, E.; Eguren, V.G.; Carvajal Urueña, A.M.; García, T.Y.; Alberti, J.P.; Esposito, L. Management Models Applied to the Human-Wolf Conflict in Agro-Forestry-Pastoral Territories of Two Italian Protected Areas and One Spanish Game Area. Animals 2021, 11, 1141. https://doi.org/10.3390/ani11041141
Piscopo N, Gentile L, Scioli E, Eguren VG, Carvajal Urueña AM, García TY, Alberti JP, Esposito L. Management Models Applied to the Human-Wolf Conflict in Agro-Forestry-Pastoral Territories of Two Italian Protected Areas and One Spanish Game Area. Animals. 2021; 11(4):1141. https://doi.org/10.3390/ani11041141
Chicago/Turabian StylePiscopo, Nadia, Leonardo Gentile, Erminia Scioli, Vicente González Eguren, Ana Maria Carvajal Urueña, Tomas Yanes García, Jesús Palacios Alberti, and Luigi Esposito. 2021. "Management Models Applied to the Human-Wolf Conflict in Agro-Forestry-Pastoral Territories of Two Italian Protected Areas and One Spanish Game Area" Animals 11, no. 4: 1141. https://doi.org/10.3390/ani11041141
APA StylePiscopo, N., Gentile, L., Scioli, E., Eguren, V. G., Carvajal Urueña, A. M., García, T. Y., Alberti, J. P., & Esposito, L. (2021). Management Models Applied to the Human-Wolf Conflict in Agro-Forestry-Pastoral Territories of Two Italian Protected Areas and One Spanish Game Area. Animals, 11(4), 1141. https://doi.org/10.3390/ani11041141