William hagan brown (@willhb21) header
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PhD researcher. Forest thermal ecology. Tropical and temperate forests. Climate change impact on forest canopies.

Uni of Plymouth; CSIR-FORIG
Joined February 2011
Photo by William hagan brown (@willhb21)Photo by William hagan brown (@willhb21)Photo by William hagan brown (@willhb21)
William hagan brown retweeted
#TansleyReview: Proximal #RemoteSensing: an essential tool for bridging the gap between high-resolution #ecosystem monitoring and global #ecology Pierrat et al. 👇 📖 nph.onlinelibrary.wiley.com/… #LatestIssue @wileyplantsci
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You are all welcome to join!
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William hagan brown retweeted
Always enjoy the walk from @PlymUni to @PlymouthMarine via the Hoe, especially on a beautiful morning like today. Sea looks gorgeous but no time for a swim ☹️.
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William hagan brown retweeted
New OA 🔓paper in @PPLplantarum. 🍁Stomatal size correlates negatively with water-use efficiency and leaf δ13C in both juvenile and mature trees.🌳 #ecophys #wue #stomata doi.org/10.1111/ppl.14619 – at Tharandt, Deutschland
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William hagan brown retweeted
Interested in studying mangrove ecophysiology? 🌍🌱 Exciting PhD opportunity, check out the link! @AliceGauthey @BIFoRUoB
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William hagan brown retweeted
🚨New published research led by amazing @fcalongi explores how drought and heat stress affects photorespiration, hydrogen peroxide and peroxidase content in Silver fir (Abies alba):  doi.org/10.1093/treephys/tpa… 🌲 – at Tharandt, Deutschland
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William hagan brown retweeted
Excited to share our latest paper in @agformet! 📢🔥 "Canopy temperature dynamics are closely aligned with ecosystem water availability across a water- to energy-limited gradient" using thermal cameras📷. w/ @Wkolby, @w_woodgate, @MPDannenberg, and others. tinyurl.com/35dx5pa8
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William hagan brown retweeted
Excellent few days scoping out swamps near Slave Lake! Some REALLY nice swamps out there! Now onto Peace River for more swamps (say swamps again Scott) and some wildfire flux work! Been great fun showing @EwenSilvester and @aleicia_holland some boreal peatlands! #PeatTwitter
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My first PhD study has been published in @NewPhyt highlighting the need to account for within-canopy variation in Tleaf to understand and predict leaf physiological heat stress. We also show that Tleaf can be up to 20°C warmer than air. @Rwanda_TREE nph.onlinelibrary.wiley.com/…
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William hagan brown retweeted
Alert 🚨 🚨 🚨 🚨 #AchimotaForest "demarcation and allocation" happening now! We cannot afford to let this slip away. This is the "lungs" of Accra we are talking about! Let's rally together to protect the Achimota Forest. #SaveAchimotaForestNow
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William hagan brown retweeted
Great day on Friday sampling Salix with @BotanyCornwall at wet woodland site in #cornwall #AcademicTwitter #AcademicX @PlymUni
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William hagan brown retweeted
Choosing the right programming language is essential for achieving your project goals. R and MATLAB both offer unique strengths, making it important to understand how they compare. Let's do this! 1️⃣ Popularity - R: Widely used in academic settings and by statisticians and data analysts. - MATLAB: Popular in engineering, physics, and academic research, particularly for numerical computing and simulations. 2️⃣ Syntax and Readability - R: Features a specialized syntax for statistical analysis and data manipulation, which may have a learning curve for beginners. - MATLAB: Known for its straightforward, matrix-based syntax, making it particularly easy for those with a background in mathematics and engineering. There is much debate about which programming language is the easiest for beginners. I prefer R syntax, probably because it was the first language I learned. However, people who started with MATLAB might disagree. 3️⃣ Comprehensiveness - R: Offers a rich set of packages for statistical analysis, data visualization (ggplot2, Shiny), and bioinformatics. - MATLAB: Provides extensive toolboxes for a wide range of applications, from signal processing and control systems to image processing and machine learning. 4️⃣ Performance - R: Can be slower for large-scale data processing but excels in specific statistical computations. - MATLAB: Optimized for numerical computing and performs efficiently, especially with large matrices and complex mathematical operations. 5️⃣ Community and Support - R: Strong community in academia and research, with extensive documentation and specialized forums. - MATLAB: Well-established community, with comprehensive support from MathWorks and a wealth of resources and tutorials. Both languages offer distinct advantages depending on your project needs. For in-depth statistical analysis and data visualization, R is an excellent choice. For engineering applications and numerical computing, MATLAB is highly effective. 🧑‍💻💡 The data shown in this post was sourced from: kaggle.com/datasets/muhammad… If you're interested in mastering R, consider checking out my introduction to R course. For more information, visit this link: statisticsglobe.com/online-c… #datastructure #datascienceenthusiast #Data #Rpackage #RStats #matlab
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William hagan brown retweeted
Super excited for our paper to be out! Feeling proud to be part of this awesome team of researchers 🙌 #WetWoodlands #ForgottenForests #PeatTwitter
🚨New paper alert🚨 The #forgottenforests: incorporating temperate peat-forming #wetwoodlands as nature-based solutions into policy and practice besjournals.onlinelibrary.wi… Now online! #PeatTwitter #PeatPaper 1/n
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William hagan brown retweeted
News from our peatland test site in Brandenburg: First public CO2 measurements with our prototype of a low-cost semi-automatic chamber system invented by @MathiasHofmann6 from @zalf_leibniz #peatlands
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On Friday, the participants of our #forestrestoration training embarked on a study trip to Bobiri Forest Reserve, where they witnessed real-life impact of restoration efforts. Participants were grouped to access various forest health indicators. #Capacitybuilding
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William hagan brown retweeted
🌊🌡📈 There is a lot of surface heat building off the coast of Africa and all around Europe. 🔥It takes >3000 times as much heat to warm water by 1°C than it does for air.🔥 We should prepare for an eventful summer!
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William hagan brown retweeted
Context! (Always helpful 😅). Oak reproduction is horribly complex compared to annual plants, with flowering probably determined the summer before and inter-year feedback cycles . We can't predict how more CO2 will affect this, so we used the @BIFoRUoB FACE expt to 'look ahead'.
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William hagan brown retweeted
Imogen's session is Thursday 16:15 - X1
Replying to @M_ecohydro
#EGU24 - Join me and my team for: 2) Tuesday 16 Apr 16:15–18:00 Hall X1.42: Imogen Carter will present our @BIFoRUoB work as a poster on root identification by humans vs AI in Hall X1- session BG3.13
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