Model outputs of ENETWILD density model for wild boar based on hunting yield data. August 2021

<p>These maps are models obtained from density hunting yield data of the ENETWILD project based on available raw data. These are frequently updated&nbsp;in order to improve results.</p> <p>Objectives:<br> -&nbsp; To evaluate whether an approach based on density data is capable to correct overpredictions of previous reports for high-resolution predicted patterns when raw data are collected at different spatial resolution.<br> - Downscaling to 10x10 km grid &gt;&gt;&gt; file&nbsp; &quot; sp_DensityModel_10km_20210621_MESS_crs3035.tif&quot;<br> - Downscaling to 2x2 km grid &nbsp; &gt;&gt;&gt; file &quot;sp_DensityModel_2km_20210621_MESS_MaxPred50_crs3035.tif&rdquo;<br> <br> Model settings and predictors:&nbsp; &nbsp;&nbsp;<br> - Assuming cells as municipality in 10x10 km grid downscaling.<br> - Assuming cells as hunting grounds in 2x2 km grid downscaling.</p> <p>Conclusions guiding future methodological steps:<br> - To explore approaches to manage spatial autocorrelation at European scale to improve the predictive performance of the results<br> - To compile complete data for each country for modeling temporal dimension of wild boar patterns.</p> <p>For further details and methodological approach see the report:</p> <p>ENETWILD-consortium, S. Illanas, S. Croft, G. C. Smith, J. Fern&aacute;ndez-L&oacute;pez, J. Vicente, J. A. Blanco-Aguiar, R. Pascual-Rico, M. Scandura, M. Apollonio, E. Ferroglio, O. Keuling, S. Zanet, F. Brivio, T. Podgorski, K. Plis, R. C. Soriguer, P.&nbsp; Acevedo. Update of model for wild boar abundance based on hunting yield and first models based on occurrence for wild ruminants at European scale. EFSA supporting publication 2021: EN-6825. 30 pp. <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.2903%2Fsp.efsa.2021.EN-6825&amp;data=04%7C01%7C%7C371a629e88d2444ab27f08d966f4158f%7C406a174be31548bdaa0acdaddc44250b%7C1%7C0%7C637654020801719420%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=4XGKExGdoJYsJ%2B8xvdTrVxVzQHPRN8Aem%2BMX7zSd8f4%3D&amp;reserved=0">https://doi.org/10.2903/sp.efsa.2021.EN-6825</a></p>