Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2011-03-08
Nature Communications 2, 170 (2011)
Biology
Quantitative Biology
Populations and Evolution
The supplementary information file can be downloaded from here: http://dyn.phys.northwestern.edu/ncomms1163-s1.pdf. The publis
Scientific paper
10.1038/ncomms1163
Food-web perturbations stemming from climate change, overexploitation, invasive species, and habitat degradation often cause an initial loss of species that results in a cascade of secondary extinctions, posing considerable challenges to ecosystem conservation efforts. Here we devise a systematic network-based approach to reduce the number of secondary extinctions using a predictive modeling framework. We show that the extinction of one species can often be compensated by the concurrent removal or population suppression of other specific species, which is a counterintuitive effect not previously tested in complex food webs. These compensatory perturbations frequently involve long-range interactions that are not evident from local predator-prey relationships. In numerous cases, even the early removal of a species that would eventually be extinct by the cascade is found to significantly reduce the number of cascading extinctions. These compensatory perturbations only exploit resources available in the system, and illustrate the potential of human intervention combined with predictive modeling for ecosystem management.
Motter Adilson E.
Sahasrabudhe Sagar
No associations
LandOfFree
Rescuing ecosystems from extinction cascades through compensatory perturbations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Rescuing ecosystems from extinction cascades through compensatory perturbations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Rescuing ecosystems from extinction cascades through compensatory perturbations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-643229