Title |
Reconstruction of fire regimes through integrated paleoecological proxy data and ecological modeling
|
---|---|
Published in |
Frontiers in Plant Science, January 2015
|
DOI | 10.3389/fpls.2014.00785 |
Pubmed ID | |
Authors |
Virginia Iglesias, Gabriel I. Yospin, Cathy Whitlock |
Abstract |
Fire is a key ecological process affecting vegetation dynamics and land cover. The characteristic frequency, size, and intensity of fire are driven by interactions between top-down climate-driven and bottom-up fuel-related processes. Disentangling climatic from non-climatic drivers of past fire regimes is a grand challenge in Earth systems science, and a topic where both paleoecology and ecological modeling have made substantial contributions. In this manuscript, we (1) review the use of sedimentary charcoal as a fire proxy and the methods used in charcoal-based fire history reconstructions; (2) identify existing techniques for paleoecological modeling; and (3) evaluate opportunities for coupling of paleoecological and ecological modeling approaches to better understand the causes and consequences of past, present, and future fire activity. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Czechia | 1 | <1% |
Unknown | 131 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 22% |
Student > Ph. D. Student | 23 | 17% |
Student > Master | 19 | 14% |
Student > Bachelor | 9 | 7% |
Student > Doctoral Student | 7 | 5% |
Other | 13 | 10% |
Unknown | 33 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 39 | 29% |
Earth and Planetary Sciences | 27 | 20% |
Agricultural and Biological Sciences | 17 | 13% |
Social Sciences | 6 | 5% |
Business, Management and Accounting | 2 | 2% |
Other | 7 | 5% |
Unknown | 35 | 26% |