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SUMMARY:Wakehurst Ecosystem Observatory: monitoring long term biodiversity
  trends with Kew’s Nature Unlocked programme  - Phil Wilkes
DTSTART:20231116T110000Z
DTEND:20231116T120000Z
UID:TALK208204@talks.cam.ac.uk
CONTACT:Yi Zhang
DESCRIPTION:The UK’s biodiversity provides multiple ecosystem co-benefit
 s\, however major gaps remain in our knowledge.  Nature Unlocked: Landscap
 e Ecology Programme was established to utilise the Wakehurst’s diverse l
 andscapes (Kew’s Wild Botanic Garden) for long-term research to determin
 e how different habitats support specific ecosystem services. Initiated in
  2021\, the research programme has so far collected high resolution baseli
 ne data across Wakehurst for above\, below and in flux carbon\; mycorrhiza
 l links with carbon storage\; pollinator monitoring focused on understudie
 d floral availability of trees\; and understanding how nature connectednes
 s can improve mental and physical wellbeing\, access\, and diversity. Movi
 ng forward\, we plan to establish the Wakehurst Ecosystem Observatory\, a 
 network of permanent plots across the Wakehurst landscape where key enviro
 nmental metrics are recorded. Coupling these baseline measurements with in
 terdisciplinary data\, we aim to inform and influence land management poli
 cies and key practices. In turn\, this offers UK government bodies\, busin
 esses\, communities\, and landowners’ effective evidence-based solutions
  to enhance biodiversity and ecosystem services. \n\nPhil is Research Lead
 er of the Nature Unlocked: Landscape Ecology Programme at RBG Kew and is b
 ased at Wakehurst. Phil’s interests are in the use of remote sensing\, i
 n particular LiDAR\, to characterise forest structure\, from individual br
 anches and trees to continental scales. Most recently\, he has developed t
 echniques to efficiently capture and process plot scale terrestrial LiDAR 
 data outputs which have been used in cal/val of satellite based abovegroun
 d biomass missions. Phil’s other interests include characterising the co
 nfiguration and value of urban forests as well as modelling remote sensing
  signals with radiative transfer models. 
LOCATION:Main Seminar Room (1.25)\, David Attenborough Building
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