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2021-09-19 Game Management Advisory Commission Minutes
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2021-09-19 Game Management Advisory Commission Minutes
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forward. One of the things that really struck us with this is often the largest and <br />healthiest trees in the whole stand were getting killed and other diseases, you know, <br />they tend to take out the weaker trees – the ones that area shaded out and the disease <br />will take ‘em out. This is a really virulent disease and it will take out the biggest and <br />healthiest trees in the stand. So it’s a really virulent pathogen. So over the – we – I’m <br />not the one who figured out what the disease was – it’s pathologists and both by the <br />morphology and DNA analysis of it – so it was just named and discovered in 2014. By <br />2020 we had detections across the Island – so pretty much every district of the Island <br />has at least some detections – so this is a map of the laboratory detections of the <br />disease across the Island so it is worse in some areas than others. You’ll notice in some <br />places it follows the road – like up Saddle Road. We’re not taking samples from the <br />middle of the forest in Hakalau, no – or places like that or really deep in the Kau forest <br />but there are some detections all around the Island. Now one of the things that we <br />know about this pathogen is it’s known as a wound pathogen. The fungus can’t go <br />through bark – bark is a really good protection against disease – it’s just like you’ll get an <br />infection if you get a cut and go in the water but not if you don’t have a cut. The <br />pathogen in the oak wilt pathogen – they found it’s a disease of urban trees – so when <br />they prune the trees the trees get the disease. One of the things that we’ve seen here is <br />that when trees get injured they tend to get the disease. So this is a tree down in Kau, <br />it’s growing on the lava and people passing by notice why are those trees there turning <br />brown – they went out and looked at it – animals had been killing the bark – I’m not <br />sure if they were goats or sheep but there were both goats and sheep in the area and so <br />when you look at this – this is the fungus growing on the peeled bark – so the trees <br />probably wouldn’t have gotten the disease but the animals are peeling the bark and <br />injuring them so, um, now there are a lot of ways that trees can get an injury – this <br />disease took off in Puna that’s a little different question – probably the fungus was <br />brought in with plants with the nursery trade – just like a lot things started in Puna in <br />the trade it was brought in and it jumped to ohia – we’re not really sure – we may never <br />really know. But what happened in Puna in 2014 – we had a hurricane hit the Island so, <br />you know, trees were damaged by the hurricane across – especially in that area and in <br />the following years we had a huge outbreak of disease – so wind is nothing we can do <br />anything about but what we are finding is that in a number of sites – the same forest <br />but it’s a property boundary and the two sides are managed differently – we see a lot <br />more disease on one side than the other. So there’s a little complicated maps – this is <br />kind of the heart of my presentation so I’m gonna spend a few minutes on this – this is <br />Kahuku – so this is the Hawai’i Volcanoes National Park, Kahuku section – so it was the <br />old Kahuku Ranch – you see the paddocks there – the pink line shows the outline of the <br />helicopter flight – so this was a map and a survey done by my colleague Ryan Perroy in <br />Hilo and what he’s done is mounted cameras on a helicopter to map trees that show <br />symptoms from the air. And as I mentioned, the symptoms of the Rapid Ohia Death are <br />the whole crown of the tree turns brown. In this site – the sort of red dots are trees that <br />have very sure – high confidence is Rapid Ohia Death – the yellow ones are medium <br />confidence – when we do on the ground sampling those numbers and I forget off the <br />top of my head but high confidence there was 98% or something, medium confidence <br />16 <br /> <br /> <br />
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