J 2023

Ungulate-vehicle crashes peak a month earlier than 38 years ago due to global warming

BÍL, Michal; Richard ANDRÁŠIK; Tomáš KUŠTA a Tomáš BARTONIČKA

Základní údaje

Originální název

Ungulate-vehicle crashes peak a month earlier than 38 years ago due to global warming

Autoři

BÍL, Michal; Richard ANDRÁŠIK; Tomáš KUŠTA a Tomáš BARTONIČKA

Vydání

Climatic Change, Springer, 2023, 0165-0009

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10511 Environmental sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.800

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/23:00131156

Organizační jednotka

Přírodovědecká fakulta

EID Scopus

Klíčová slova anglicky

Wildlife; Wildlife-vehicle collisions; Phenophases; Ungulates; Central Europe

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 13. 7. 2023 10:46, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Global change has manifested itself as climate warming in Central Europe in recent decades. Average daily air temperatures increased by an average of 2 degrees C between 1982 and 2018. Air temperature changes have affected the timing of the vegetation periods (phenophases) and have also influenced the behaviour of animals. We worked with data on wildlife-vehicle crashes (WVC) recorded by the Czech Police in the period 1982-2019. Three peaks can usually be observed (spring, summer, and autumn) in the WVC time series. Eighty percent of these records involved roe deer (Capreolus capreolus). Such a high ratio allowed us to assume that any significant changes detected in WVC will be predominantly related to roe deer. We discovered that roe deer mortality on roads occurs earlier at present in the spring than in the past. The spring peak has shifted almost a month to the beginning of the year compared to the situation 38 years ago. The changes in the respective summer and autumn peaks were not statistically significant. The results suggest the effect of climate change on roe deer behaviour through increasing air temperatures and shifting vegetation phenophases. Thus, an earlier onset of deer activity associated with territory delineation and expected higher movement activity can be indirectly determined by the analysis of the WVC time series. The observed shift in the spring WVC peak in the roe deer model reveals a shift in ungulate behavioural patterns that is not evident from other biological data and thus surprisingly offers a suitable study framework for determining the impacts of environmental change on animals.