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Assessing trends in wolf impact on livestock through verified claims in historical vs. recent areas of occurrence in Italy

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Abstract

As wolves in Europe are expanding in range, their impact on economic activities through predation on livestock is increasing. In this context, the effectiveness of damage compensation programs is being debated and requires adequate assessment. With this aim, we performed a survey of wolf depredation on livestock in Italy during the years 2010 − 2014, comparing regions of historical and more recent wolf occurrence. We collected data on livestock depredations, prevalent husbandry practices and the main features of compensation schemes. We investigated the effect of several ecological and management-related variables on the extent of wolf impact. On average, 3274 (± 195.2 SD) wolf depredation events were compensated across Italy each year, comprising 7809 (± 1278.9 SD) livestock heads, and corresponding to € 1,450,814 (± € 184,762 SD) annual compensation costs. Regions recently recolonized by wolves reported lower and decreasing levels of impact compared to those with historical wolf presence. Half of all depredations occurred in 121 municipalities (9.7% of the total), which emerged as hotspots of impact and economic cost for the system. The proportion of farms with chronically recurring damage increased by 80% in the southern Apennines, where wolves never disappeared, whereas it declined by 100% in the Alps, due to effective prevention measures implemented following wolf recolonization in the mid-1990s. Long-term human-wolf coexistence does not necessarily correspond to lower damage levels and effective conflict management, casting doubts on the effectiveness and sustainability of compensation programs, if applied without reference to a context of adaptive management.

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Acknowledgements

We are grateful to all local authorities (provinces, national and regional parks) for their collaboration in data gathering, and specifically to Francesca De Cristo, Claudia De Rosa, Arianna Menzano and Luisa Vielmi for compiling the local datasets into a single homogeneous database. Agnese Marino provided useful comments and insights on a previous draft of the manuscript and revised the English style.

Funding

Funding for our work was provided by the Unione Zoologica Italiana (UZI), through a convention with the Italian Ministry of the Environment, which covered data collection. V. Gervasi was supported by a fellowship from the Italian Institute of Applied Ecology (IEA) during the data analysis period.

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Appendix 1 Summary of the main characteristics and performances of the different compensation schemes adopted in Italy for wolf/dog predation on livestock

Appendix 1 Summary of the main characteristics and performances of the different compensation schemes adopted in Italy for wolf/dog predation on livestock

Region/province

Predator compensated

Criteria for predator identification a

Max N. days to report predation

Max. N. days for field inspection

Compensation cap (De minimis)

% of market price compensated

Mean N. days from reporting to payment

Conditionality to protection measures b

Abruzzo

Wolf and dog

0

N.A

N.A

No

100

N.A

0

Basilicata

Wolf and dog

0

1

24

No

80

60

4

Calabria

No compensation for damage to livestock

Campania

Wolf

2

30

30

No

100

310

0

Emilia Romagna

Wolf and dog

0

1

N.A

No

100

120

3

Friuli Venezia Giulia

Wolf

1

30

3

No

100

30

5

Lazio

Wolf and dog

0

5

30

Yes

80–100

N.A

2

Liguria

Wolf and dog

0

1

N.A

Yes

100

350

3

Lombardia

Wolf

2

N.A

N.A

No

100

60

0

Marche

Wolf and dog

0

1

2

Yes

80

132

3

Molise

Wolf and dog

0

2

2

No

100

N.A

0

Piemonte

Wolf and dog

0

7

N.A

Yes

50–100

300

4

Puglia

Wolf

0

2

2

Yes

90

90

3

Toscana

Wolf and dog

0

N.A

10

Yes

100

364

3

P.A. Trento

Wolf

1

1

1

No

100

90

0

P. A. Bolzano

Wolf

0

60

N.A

No

80

N.A

0

Umbria

Wolf and dog

0

2

N.A

No

150

150

3

Valle d’Aosta

Wolf and dog

0

1

N.A

Yes

100

140

N.A

Veneto

Wolf

0

2

10

Yes

100

N.A

N.A

  1. a0 = no explicit criterion for predator identification; 1 = reliable criteria; 2 = unreliable criteria
  2. bThe range 0–5 goes from 0 = no conditionality of compensation to the use of protection measures to 5 = strict conditionality to the use of protection measures

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Gervasi, V., Salvatori, V., Catullo, G. et al. Assessing trends in wolf impact on livestock through verified claims in historical vs. recent areas of occurrence in Italy. Eur J Wildl Res 67, 82 (2021). https://doi.org/10.1007/s10344-021-01522-1

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