Title |
Understanding and planning ecological restoration of plant–pollinator networks
|
---|---|
Published in |
Ecology Letters, January 2012
|
DOI | 10.1111/j.1461-0248.2012.01740.x |
Pubmed ID | |
Authors |
Mariano Devoto, Sallie Bailey, Paul Craze, Jane Memmott |
Abstract |
Ecology Letters (2012) ABSTRACT: Theory developed from studying changes in the structure and function of communities during natural or managed succession can guide the restoration of particular communities. We constructed 30 quantitative plant-flower visitor networks along a managed successional gradient to identify the main drivers of change in network structure. We then applied two alternative restoration strategies in silico (restoring for functional complementarity or redundancy) to data from our early successional plots to examine whether different strategies affected the restoration trajectories. Changes in network structure were explained by a combination of age, tree density and variation in tree diameter, even when variance explained by undergrowth structure was accounted for first. A combination of field data, a network approach and numerical simulations helped to identify which species should be given restoration priority in the context of different restoration targets. This combined approach provides a powerful tool for directing management decisions, particularly when management seeks to restore or conserve ecosystem function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 2 | 22% |
United States | 2 | 22% |
United Kingdom | 1 | 11% |
Australia | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Scientists | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 2% |
Brazil | 8 | 2% |
United Kingdom | 7 | 1% |
Germany | 3 | <1% |
Mexico | 3 | <1% |
Belgium | 2 | <1% |
Spain | 2 | <1% |
France | 1 | <1% |
South Africa | 1 | <1% |
Other | 8 | 2% |
Unknown | 443 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 102 | 21% |
Student > Master | 89 | 18% |
Researcher | 88 | 18% |
Student > Bachelor | 41 | 8% |
Student > Doctoral Student | 24 | 5% |
Other | 74 | 15% |
Unknown | 69 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 263 | 54% |
Environmental Science | 112 | 23% |
Earth and Planetary Sciences | 6 | 1% |
Biochemistry, Genetics and Molecular Biology | 6 | 1% |
Mathematics | 2 | <1% |
Other | 10 | 2% |
Unknown | 88 | 18% |