NovakLab
NovakLab
Home
People
Alumni
Research
Publications
Teaching
Press perturbations
PressPurt - Network sensitivity to press perturbations under interaction uncertainty
While the use of networks to understand how complex systems respond to perturbations is pervasive across scientific disciplines, the …
Koslicki
,
Gibbon
,
Novak
Cite
Code
DOI
CRAN
The predictability of qualitative food web dynamics in response to extinction and invasion
Food webs are extraordinarily complex, containing myriad direct interactions and indirect effects. Determining how this network of …
Rockow
PDF
Exact probabilities for the indeterminacy of complex networks as perceived through press perturbations
We consider the goal of predicting how complex networks respond to chronic (press) perturbations when characterizations of their …
Koslicki
,
Novak
Preprint
PDF
Cite
Code
DOI
SOM
Rapid and direct recoveries of predators and prey through synchronized ecosystem management
One of the twenty-first century’s greatest environmental challenges is to recover and restore species, habitats and ecosystems. The …
Samhouri
,
Stier
,
Hennessey
,
Novak
,
Halpern
,
Levin
PDF
Cite
DOI
SOM
Characterizing species interactions to understand press perturbations: What is the community matrix?
The community matrix is among ecology’s most important mathematical abstractions, formally encapsulating the interconnected …
Novak
,
Yeakel
,
Noble
,
Doak
,
Emmerson
,
Estes
,
Jacob
,
Tinker
,
Wootton
PDF
Cite
DOI
SOM
Complexity increases predictability in allometrically constrained food webs
All ecosystems are subjected to chronic disturbances, such as harvest, pollution, and climate change. The capacity to forecast how …
Iles
,
Novak
PDF
Cite
DOI
Data
SOM
Predicting community responses to perturbations in the face of imperfect knowledge and network complexity
How best to predict the effects of perturbations to ecological communities has been a long‐standing goal for both applied and basic …
Novak
,
Wootton
,
Doak
,
Emmerson
,
Estes
,
Tinker
PDF
Cite
Code
DOI
SOM
Cite
×