| Title |
Stability and complexity in model meta-ecosystems
|
|---|---|
| Published in |
Nature Communications, August 2016
|
| DOI | 10.1038/ncomms12457 |
| Pubmed ID | |
| Authors | |
| Abstract |
The diversity of life and its organization in networks of interacting species has been a long-standing theoretical puzzle for ecologists. Ever since May's provocative paper challenging whether 'large complex systems [are] stable' various hypotheses have been proposed to explain when stability should be the rule, not the exception. Spatial dynamics may be stabilizing and thus explain high community diversity, yet existing theory on spatial stabilization is limited, preventing comparisons of the role of dispersal relative to species interactions. Here we incorporate dispersal of organisms and material into stability-complexity theory. We find that stability criteria from classic theory are relaxed in direct proportion to the number of ecologically distinct patches in the meta-ecosystem. Further, we find the stabilizing effect of dispersal is maximal at intermediate intensity. Our results highlight how biodiversity can be vulnerable to factors, such as landscape fragmentation and habitat loss, that isolate local communities. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Chile | 1 | 13% |
| Argentina | 1 | 13% |
| Germany | 1 | 13% |
| Canada | 1 | 13% |
| South Africa | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | <1% |
| United States | 1 | <1% |
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 311 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 22% |
| Researcher | 58 | 18% |
| Student > Master | 35 | 11% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 16 | 5% |
| Other | 46 | 15% |
| Unknown | 69 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 98 | 31% |
| Environmental Science | 71 | 22% |
| Physics and Astronomy | 11 | 3% |
| Mathematics | 9 | 3% |
| Computer Science | 6 | 2% |
| Other | 33 | 10% |
| Unknown | 89 | 28% |