I studien har forskare vid Lunds universitet undersökt hur fåglars fysiologi påverkas av ett liv i staden, och vilka delar av stadsmiljön som har störst betydelse för de unga fåglarnas mående. Att städer generellt är en tuff miljö för fåglar och andra djur att leva i vet forskare redan, men det saknas idag kunskap om varför.
Studie om fågelungar kan bidra till grönare städer
Biologisk mångfald En studie vid Lunds universitet visar att fågelungar i städer påverkas tydligt av luftföroreningar och vilken typ av träd som finns i närheten av boet. Enligt forskarna bakom studien kan den få betydelse för hur vi i framtiden utformar våra städer.

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– Vi kan visa att fågelungars fysiologi påverkas av den lokala miljön och de stadseffekter som finns där. Det som vi ser påverkar ungarna mest är vilken storts träd som finns i närheten av boet, samt en viss typ av luftföroreningar, säger Johan Kjellberg Jensen, doktorand på Centrum för miljö – och klimatvetenskap vid Lunds universitet, i en kommentar.
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