Environmental Law
Wood storks to be removed from federal Endangered Species List
But the only native stork found in the U.S. is not out of the woods just yet. Breakthroughs, discoveries, and DIY tips sent six days a week. After over 40 years of recovery efforts, one population of the wood stork ()is being removed from the federal list of endangered and threatened wildlife. The large birds are as tall as 45 inches with wingspans that can reach 65 inches and are the only native storks in the United States. They are primarily found in the southeastern United States, where they feed on fish.
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9 rare animals caught on camera in the 'Amazon of Asia'
A 2025 survey in the forests of Laos, Vietnam, and Cambodia uncovered several rare and endangered animals. A pig-tailed macaque is caught on camera in a Cambodian forest. Breakthroughs, discoveries, and DIY tips sent six days a week. The results of a new camera-trap survey in Southeast Asia is revealing a bevy of hidden biodiversity tucked within the Annamites mountain range . This largely unexplored wildlife hotspot has a forest stretching 683 miles (1,100 kilometers) across the countries of Laos, Vietnam, and Cambodia.
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Hair samples reveal the benefits of lead regulation
Before the EPA, Utah saw 100 times more lead exposure. Breakthroughs, discoveries, and DIY tips sent six days a week. The evidence is clear--and in your hair. Americans were exposed to as much as 100 times more lead in their daily lives than they are today before the Environmental Protection Agency was established in 1970. In an effort to examine the dramatic reduction in toxic heavy metal exposure, researchers turned to human hair samples dating back a century.
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Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
Fahim, Md Muhtasim Munif, Imran, Md Jahid Hasan, Debnath, Luknath, Shill, Tonmoy, Molla, Md. Naim, Pranto, Ehsanul Bashar, Saad, Md Shafin Sanyan, Karim, Md Rezaul
The achievement of the 2030 Sustainable Development Goals (SDGs) is dependent upon strategic resource distribution. We propose a causal discovery framework using Panel Vector Autoregression, along with both country-specific fixed effects and PCMCI+ conditional independence testing on 168 countries (2000-2025) to develop the first complete causal architecture of SDG dependencies. Utilizing 8 strategically chosen SDGs, we identify a distributed causal network (i.e., no single 'hub' SDG), with 10 statistically significant Granger-causal relationships identified as 11 unique direct effects. Education to Inequality is identified as the most statistically significant direct relationship (r = -0.599; p < 0.05), while effect magnitude significantly varies depending on income levels (e.g., high-income: r = -0.65; lower-middle-income: r = -0.06; non-significant). We also reject the idea that there exists a single 'keystone' SDG. Additionally, we offer a proposed tiered priority framework for the SDGs namely, identifying upstream drivers (Education, Growth), enabling goals (Institutions, Energy), and downstream outcomes (Poverty, Health). Therefore, we conclude that effective SDG acceleration can be accomplished through coordinated multi-dimensional intervention(s), and that single-goal sequential strategies are insufficient.
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Micron Megafab Project Faces a New Hurdle as Activists Seek a Benefits Deal
Activists are demanding a way to hold the memory-chip maker accountable to its promises to protect the environment and embrace communities of color in central New York. Days after Micron broke ground on a $100 billion chip factory in New York state, a coalition of environmentalists, labor unions, and civil rights groups are urging the US tech giant to sign a deal that would make a series of promises to be a good neighbor legally enforceable. Micron's megafab to make memory chips is on track to become the biggest commercial development in state history and the largest chipmaking complex in the country . Officials held a groundbreaking ceremony in the city of Clay, near Syracuse, last Friday. The first chips could arrive in five years, though the entire site won't be finished for 20 years.
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Indonesia sues six companies over environmental harm in flood zones
Indonesia's government has filed multiple lawsuits seeking more than $200m in damages against six firms, after deadly floods wreaked havoc across Sumatra, killing more than 1,000 people last year, although environmentalists criticised the moves as inadequate. Environmentalists, experts and the government pointed the finger at deforestation for its role in last year's disaster that washed torrents of mud and wooden logs into villages across the northwestern part of the island. The sum represents both fines for damage and the proposed monetary value of recovery efforts. The suits were filed to courts on Thursday in Jakarta and North Sumatra's Medan, the ministry added. "We firmly uphold the principle of polluter pays," Environment Minister Hanif Faisol Nurofiq said in a statement.
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AI boom has caused same CO2 emissions in 2025 as New York City, report claims
The AI boom has caused as much carbon dioxide to be released into the atmosphere in 2025 as emitted by the whole of New York City, it has been claimed. The global environmental impact of the rapidly spreading technology has been estimated in research published on Wednesday, which also found that AI-related water use now exceeds the entirety of global bottled-water demand. The figures have been compiled by the Dutch academic Alex de Vries-Gao, the founder of Digiconomist, a company that researches the unintended consequences of digital trends. He claimed they were the first attempt to measure the specific effect of artificial intelligence rather than datacentres in general as the use of chatbots such as OpenAIâ s ChatGPT and Googleâ s Gemini soared in 2025. The figures show the estimated greenhouse gas emissions from AI use are also now equivalent to more than 8% of global aviation emissions.
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Botany Meets Robotics in Alpine Scree Monitoring
De Benedittis, Davide, Di Lorenzo, Giovanni, Angelini, Franco, Valle, Barbara, Borgatti, Marina Serena, Remagnino, Paolo, Caccianiga, Marco, Garabini, Manolo
According to the European Union's Habitat Directive, habitat monitoring plays a critical role in response to the escalating problems posed by biodiversity loss and environmental degradation. Scree habitats, hosting unique and often endangered species, face severe threats from climate change due to their high-altitude nature. Traditionally, their monitoring has required highly skilled scientists to conduct extensive fieldwork in remote, potentially hazardous locations, making the process resource-intensive and time-consuming. This paper presents a novel approach for scree habitat monitoring using a legged robot to assist botanists in data collection and species identification. Specifically, we deployed the ANYmal C robot in the Italian Alpine bio-region in two field campaigns spanning two years and leveraged deep learning to detect and classify key plant species of interest. Our results demonstrate that agile legged robots can navigate challenging terrains and increase the frequency and efficiency of scree monitoring. When paired with traditional phytosociological surveys performed by botanists, this robotics-assisted protocol not only streamlines field operations but also enhances data acquisition, storage, and usage. The outcomes of this research contribute to the evolving landscape of robotics in environmental science, paving the way for a more comprehensive and sustainable approach to habitat monitoring and preservation.
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