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The Forest Analytics Landing

The Forest Analytics Landing

By Matthew Russell

This podcast highlights current events, emerging research, and new opportunities in forest analytics. We’ll provide commentary and share stories about how organizations are solving forestry problems by leveraging data to make informed decisions.

Hosted by Matt Russell, forest analytics consultant. For more information, visit
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037: Final episode

The Forest Analytics LandingMay 25, 2023

037: Final episode
May 25, 202305:57
036: States with the biggest gains in forest carbon
May 09, 202308:36
035: Carbon sequestration and harvested wood products

035: Carbon sequestration and harvested wood products

There remains great interest in understanding the role of forest management in storing and sequestering carbon. While researchers and land managers have a number of tools available to quantify the impacts of forest management on carbon stocks in growing forests, fewer tools are available that depict the carbon stored “off site” in the form of harvested wood products. These can include short-lived products (i.e., paper or pulp) or long-lived ones (i.e., utility poles). Not incorporating harvested wood product data in simulations of forest carbon can underestimate the total amount of carbon being stored, thus diminishing the benefits of active forest management.

In these podcast, I talk about an example case study using data from the long-term silvicultural experiment at the Penobscot Experimental Forest in central Maine. I share how tools like FVS can be leveraged to better understand the contributions of harvested wood products in understanding forest management impacts and the longevity of forest carbon.

  • SLIDES: Quantifying harvested wood products and forest management in carbon analyses:
Apr 24, 202314:33
034: Recent data on greenhouse gas emissions and removals from US forests
Apr 10, 202311:00
033: Connections between forests and the metaverse
Mar 27, 202312:58
032: Hey ChatGPT: solve my statistics problems

032: Hey ChatGPT: solve my statistics problems

ChatGPT is a chatbot built through artificial intelligence. The reaction to it has been mixed. One of the primary criticisms of ChatGPT is its use in education. I was curious to see how ChatGPT would do with some of the exercises from my statistics textbook, so I tried it out. This podcast describes what I found.

  • Read the article "Hey ChatGPT: sole the exercises in my statistics textbook":
  • The NCREIF Timberland Property Index:
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  • You can also follow this podcast series on the Arbor Custom Analytics YouTube Channel.

For more information on how data and analytics can empower your forestry organization, visit

Mar 13, 202314:25
031: Investments in timberlands continue to rise

031: Investments in timberlands continue to rise

Your stocks may have taken a hit in 2022, but timberlands as an investment were up nearly 13%. The National Council of Real Estate Investment Fiduciaries (NCREIF) recently posted fourth quarter and annual returns for their Timberland Index, an index representing 464 investment-grade timberland properties with a market value of $24.5 billion. This podcast describes the Index and how it's performed with other metrics of the US economy and markets.

For more information on how data and analytics can empower your forestry organization, visit

Feb 27, 202308:51
030: What to know about the no-code movement
Feb 13, 202309:29
029: Easy ways to access FIA data
Jan 30, 202314:04
028: Forestland on the blockchain
Jan 16, 202307:05
027: Forest carbon trends to watch in 2023
Jan 02, 202314:38
026: Pandemic assistance to the US forest products industry
Dec 19, 202212:51
025: New research on estimating forest biomass and carbon
Dec 05, 202216:02
024: The erosion of research in forestry
Nov 21, 202213:22
023: How to spot poor data analyses
Nov 07, 202215:39
022: What we should be teaching more of in quantitative forestry
Oct 24, 202215:14
021: Recap of the SAF Convention
Oct 10, 202215:03
020: Comparing logging trucking wages to other industries
Sep 26, 202211:28
019: The price of carbon in decreases slightly
Sep 12, 202207:49
018: What's new in R
Aug 29, 202211:43
017: Converting tree volume to weight
Aug 15, 202212:03
016: New book: Statistics in Natural Resources: Applications with R
Aug 01, 202217:18
015: A forest carbon data dashboard
Jul 18, 202211:05
014: Quantifying the value in harvested wood products
Jul 04, 202213:47
013: Should foresters keep saying “statistically significant”?
Jun 20, 202210:25
012: The price of carbon continues to climb
Jun 06, 202206:55
011: If 50% of a tree's biomass is carbon, what's the other half?
May 23, 202208:10
010: R packages for forest analysts
May 09, 202214:42
009: President Biden's Earth Day pledge for forests
Apr 25, 202213:08
008: Carbon credits: quantity versus quality
Apr 11, 202211:27
007: Random forests in forestry
Mar 28, 202216:10
006: Happy Pi Day! Say no to pie graphs...
Mar 14, 202212:57
005: The price that forest landowners want for carbon
Feb 28, 202213:51
004: PPP loans to the forest product industry
Feb 14, 202212:40
003: Investment in timberlands is on the rise
Jan 31, 202210:37
002: Carbon in harvested wood products
Jan 17, 202213:33
001: The three kinds of data scientists in forestry
Jan 03, 202209:55
Trailer for The Forest Analytics Landing podcast
Dec 31, 202102:21