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Published news and blog articles, organized by category. Browse older coverage by month or search for a topic. Undated blog guides appear after dated news.
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How migratory birds work
Migration is not a single instinct or a straight line. It is a seasonal system that combines an internal clock, an energy budget, several navigation cues, and a chain of places to rest.
How pollination networks work
Pollination networks work through repeated links among flowering plants and animal visitors, with timing, behavior, and landscape context determining which interactions actually move pollen.
How the deep ocean carbon cycle works
The deep ocean carbon cycle moves carbon through air-sea exchange, biology, sinking particles, chemical transformations, circulation, and sediments across very different timescales.
Migratory birds explained: the ideas that matter
The clearest way to understand migration is to connect a few ideas: seasonal timing, navigation, energy, stopovers, learning, and ecological networks. Together they explain why birds move—and why small landscape changes can matter so much.
Pollination networks explained: the ideas that matter
The clearest way to understand pollination networks is to separate visitors, interactions, effective pollen transfer, network structure, and the landscape processes that keep the system running.
The deep ocean carbon cycle explained: the ideas that matter
Six ideas make the deep ocean carbon cycle easier to understand: exchange, pumps, reservoirs, transformations, timescales, and the difference between temporary transport and lasting storage.
The engineering challenge behind migratory birds
A migratory bird is a flying machine that must redesign its operating plan season by season. It must trade speed against fuel, range against payload, and reliable navigation against uncertain weather.
The engineering challenge behind pollination networks
A pollination network is an engineering challenge without a control room: it must keep pollen moving across changing landscapes while balancing redundancy, timing, distance, and failure.
The engineering challenge behind the deep ocean carbon cycle
Understanding deep-ocean carbon is a systems-engineering problem: sparse observations, hostile conditions, coupled reservoirs, long delays, uncertain fluxes, and a moving target must be reconciled.
The hidden history of migratory birds
For centuries, people saw birds vanish and return without knowing where they went. The modern story of migration emerged slowly—from folklore and observation to ringing, radar, satellites, and international conservation.
The hidden history of pollination networks
The idea of a pollination network grew from natural history, flower experiments, museum specimens, and later ecological mathematics; its history also reveals what interaction records leave out.
The hidden history of the deep ocean carbon cycle
The deep ocean carbon cycle became visible through changing ideas about ocean chemistry, marine ecology, radiocarbon, expeditions, global observing programs, and autonomous sensors.
What migratory birds teach us about the world
Migratory birds make distant places part of one ecological story. Their journeys show how timing, infrastructure, borders, risk, and resilience are linked across a world that looks divided from the ground.
What pollination networks teach us about the world
Pollination networks teach a broad systems lesson: what looks like a simple service is produced by relationships, timing, movement, and feedback across many scales.
What the deep ocean carbon cycle teaches us about the world
The deep ocean carbon cycle offers wider lessons about hidden infrastructure, delayed feedback, distributed responsibility, measurement limits, and why a reservoir is not the same as a permanent fix.
Coastal erosion explained: the ideas that matter
The clearest way to understand coastal erosion is to separate shoreline position, sediment budget, forcing, time scale, and exposure—connected ideas that answer different questions about a changing coast.
Earthquake early warning explained: the ideas that matter
Five ideas make earthquake early warning easier to understand: it is not prediction, P waves are clues, alerts are local estimates, time is a budget, and preparedness turns information into safety.
How coastal erosion works
Coastal erosion is the movement and loss of sediment or rock at a shore, produced by waves, currents, storms, sea-level change, geology, and the sediment supply that connects one stretch of coast to another.
How earthquake early warning works
Earthquake early warning is a race between fast sensors, fast communications, and slower destructive waves. Here is the mechanism, and what its seconds can and cannot do.
How volcanic lightning works
Volcanic lightning begins when an eruption turns a rising ash plume into a moving electrical system. Collisions, fragmentation, ice, and turbulence separate charge until the atmosphere can no longer contain it.
The engineering challenge behind coastal erosion
Managing coastal erosion means working with moving sediment, variable storms, rising water levels, ecological constraints, and expensive assets without a perfect forecast or a single permanent fix.
The engineering challenge behind earthquake early warning
Earthquake early warning is a distributed real-time system built against an unforgiving deadline. Its hardest problems are latency, incomplete information, rupture complexity, reliability, and human factors.
The engineering challenge behind volcanic lightning
Detecting volcanic lightning is an engineering problem at the edge of several hostile environments: hot gas, abrasive ash, blocked visibility, electromagnetic noise, and signals that can arrive before the plume is easy to see.
The hidden history of coastal erosion
Coastal erosion has always been part of shoreline history, but its meaning changes with sea level, storms, sediment pathways, settlement, maps, engineering, and the values people attach to a changing coast.
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