Finally, our new e-guide to the large brown algae of NZ is available for download from the NIWA website:
We hope this will be helpful to all the lovely people out there who are helping us out!
Cheers,
Kate and team
P.S. Can anyone tell me how to embed an image of the cover in this post?? :)
Comments
What a beautiful publication! Thanks Kate.
That is a brilliant book and gives me more to look for - kia ora for all the time and effort to make this and share it with us here - it is much appreciated :)
To add the image it must be on a server.and you need to know the url. Use the following code where you want to to go and make sure these are no gaps after the < and before the > . In the example below there is a gap as it will not show as text if I don't put one!
< img src="Put URL here" >
Ok it still did not show because of the start and end symbols which are the GREATER THAN SIGN at the start then the LESS THAN SIGN at the end with no gap after the greater than and no gap before the less than
GREATER THAN SIGN img src="URL goes here" LESS THAN SIGN
Post here if you are confused :)
I will put a url here tomorrow for the code as I don't know how to copy and paste a url on a tablet!
http://html.com/attributes/img-src/ and use the Absolute URL example with this URL which is the one for the cover photo taken from the NIWA page above :)
https://www.niwa.co.nz/sites/niwa.co.nz/files/styles/large/public/Beautiful-Browns-Cover-web.jpg
Yay, thanks :)
Wonderful, @kaytee . I look forward to using it to figure out the Carpophyllum and Cystophora species!
Hi there,
I am on NatureWatch as STBobservations, and have recently been adding quite a few seaweed - wondering if you do a 'filter check' of all NZ entries on relevant seaweed species, which would include some of mine, and then 'absorb them'?
Thank you,
Karen
Hi Karen (@stbobservations) ,
I must admit I am miles behind at the moment, and have a lot to catch up on ... but we would love to 'absorb' your observations into our project! Thanks :)
I'm hoping to have a big catch up soon and work out how to add the most observations in the most efficient way.
Thanks again,
Kate
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