The influence of predators on prey species was expressed as the sum of the field metabolic rate (sFMR) of all potential avian and mammalian predators of hares present in a hunting lease during the year before the collection of the harvested hares. We assigned each predator to a specific predator type (i.e., all birds, Pelecaniformes, mammal omnivores, and mammal carnivores) based on Nagy et al. ( 1999 ) (Appendix S6). We then calculated the average of the lower and higher limit of the body weight for each predator species (BWavg; birds: Del Hoyo et al., 1992 ; Del Hoyo et al., 1994 ; Del Hoyo et al., 1996 ; Del Hoyo et al., 1999 ; Del Hoyo et al., 2009 ; mammals: Lange et al., 2003 ). ( 1999 ) to calculate field metabolic rate (FMRBWavg) for each predator species (per Equation 1). Finally, for birds, we calculated the proportion of the year each species was resident in the Netherlands, as many birds migrate toward southern latitudes in winter (Vogelbescherming, 2017 ).
dos.step 3.1 Design examined
First, i investigated the newest relationship involving the sum of the brand new predator occupation metabolism (sFMR) as well as the danger of google search death once the predictor variables and body updates list as the impulse changeable having fun with good linear blended model (LMM) inside the R (bundle lme4 adaptation step one.1-12; Bates mais aussi al., 2015 ; letter = 66). At exactly the same time, we examined an alternative LMM toward total number regarding predators given that predictor changeable and the body standing index while the effect changeable to analyze if or not predator abundance most useful demonstrates to you looks condition as compared to sFMR (select Appendix S4 to own an overview of the global patterns fitted). We integrated this new intercourse of hares, how old they are class, and the months because start of analysis collection because fixed effects, since ladies hares fatten right up contained in this many weeks in the bottom of the year to prepare for the next breeding season (Valencak mais aussi al., 2009 ). As well as, system standing may vary from inside the year (Van Vuuren & Coblentz, 1985 ) and you may scales differently anywhere between sexes (Murray, 2002 ). We included google search lease as random factor, which have subareas nested contained in this browse rent. I omitted you to definitely mature women that had an extremely lower torso lbs (2416 g) compared to other mature ladies ( ± SD = 3642 ± 318 grams).
Likelihood of google search mortality are expressed because portion of hares decide to try about final number out-of hares counted in a shopping book in the query drives
Second, i investigated this new correlations ranging from sFMR and the threat of browse mortality because predictor parameters together with mediocre pounds of one’s adrenal gland as the reaction changeable playing with a great LMM (n = 66). We integrated this class and you can sex out-of hares just like the repaired outcomes, because adrenals out of mammals is presumed to increase sizes because of the persistent exposure to worry in their lives (Harder & Kirkpatrick, 1994 ). On the other hand, we asked a gender-particular be concerned reaction and you will feeling of risk, as the ladies need fatten doing plan its very first litter during the winter season (Valencak mais aussi al., 2009 ) which probably act in a different way so you’re able to predation risk compared to men. Again, we used subareas nested in this hunting lease because haphazard foundation. I excluded you to definitely adult female which had a really high average pounds of one’s adrenals (0.61 grams) weighed against the remainder mature ladies ( ± SD = 0.29 ± 0.076 g). Similarly to human anatomy position, we also ran a product into the total number https://datingranking.net/it/incontri-lds/ off predators as the predictor adjustable.
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