{
  "id": 3065301,
  "title": "Can satellites detect when forests lose resilience?",
  "url": "https://urgent.news/2026/08/24/can-satellites-detect-when-forests-lose-resilience",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-24T16:40:05.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-08-satellites-forests-resilience.html"
  },
  "original_language": "en",
  "account": "Scientists have been utilizing a technique called temporal autocorrelation (TAC) to gauge forest resilience through satellite information. However, the application of TAC as a resilience indicator has lacked uniformity and direct evidence from on-the-ground observations. A recent paper from the Global Environmental Remote Sensing Laboratory, led by Zhe Zhu, presents evidence and guidelines for employing TAC as a forest resilience metric. This research, conducted by Kexin Song, a former UConn Ph.D. student, and currently a postdoctoral associate at Yale University, has been published in Nature Ecology & Evolution.\n\nResilience indicators determine how well forests withstand and rebound from factors like drought, fire, or human interference. Song explains that understanding the existence of a threshold or tipping point where a minor disturbance could shift a forest to a new state is crucial. Monitoring resilience enables us to assess how close a forest is to this threshold, ultimately aiding in its protection.\n\nTAC, however, derives information from residuals generated around forest observations rather than directly observable data. It examines the similarity of residuals to those immediately preceding them to gauge the rate at which a forest's vegetation recovers from minor stresses and infers its resilience. Despite being embedded within noise, there are genuine ecosystem resilience signals present in TAC.\n\nThe researchers identified a method that precisely extracts ecosystem resilience information from noisy data, addressing a previous shortcoming in TAC applications. They discovered that specific frequencies, time periods, and vegetation indicators are necessary for accurate extraction. Additionally, TAC must be linked to on-the-ground observations evaluating forest health. A study conducted in the Amazon, involving data from hundreds of trees representing over 100 species across nine plots, was used to validate this approach. The satellite data was correlated with the plants' hydraulic safety margin (HSM), which measures a plant's capacity to withstand and survive dry conditions.",
  "summary": "For years, scientists have been using a method called \"temporal autocorrelation (TAC)\" to measure forest resilience using satellite data. However, scientists have not used TAC uniformly, and its use as a resilience indicator was based largely on theories and assumptions rather than direct evidence from observations on the ground.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}