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The model exhibits feedback loops between a growing human population and depletion of local natural resources. Our model can reproduce the population size of two different villages along with landscape patterns without further calibration.
Impressive. Make sure to read the counterpart paper too.
Here, we show how MaxEnt can accurately predict patterns such as species–area relationships (SARs) and abundance distributions in macroecology and be a foundation for ecological theory.
A cool idea: using market data as early warning signals of unsustainable hardwood harvesting.
Universities are calling for wider engagement, but this is much riskier for early-career researchers than tenured academics.
Academic institutions need to make their priorities clear: the practice of licensing patents to trolls to raise funds does not help their public image
Delays to US anti-patent troll legislation are concerning, but perhaps more so is the role of academic institutions in all this.
Probably the latest review of global climate-related range shifts. Particularly interesting is the number of longitudinal and southward shifts.
Excellent study that once again confirms we cannot simply treat matrix habitat as ocean and apply island biogeographical concepts to mainland forest fragments.
A theory of countryside biogeography is essential to conservation strategy in the agricultural ecosystems that comprise roughly half of the global land surface and are likely to increase even further.
Our results indicate that ecologists have gathered sufficient information to begin to build realistic, global, and mechanistic models of ecosystems, capable of predicting a diverse range of ecosystem properties and their response to human pressures