Journal of Experimental Marine Biology and Ecology, Journal Year: 1987, Volume and Issue: 109(3), P. 249 - 273
Published: Aug. 1, 1987
Language: Английский
Journal of Experimental Marine Biology and Ecology, Journal Year: 1987, Volume and Issue: 109(3), P. 249 - 273
Published: Aug. 1, 1987
Language: Английский
Advances in ecological research/Advances in Ecological Research, Journal Year: 1992, Volume and Issue: unknown, P. 263 - 336
Published: Jan. 1, 1992
Language: Английский
Citations
746Proceedings of the National Academy of Sciences, Journal Year: 2013, Volume and Issue: 110(16), P. 6442 - 6447
Published: April 4, 2013
Fire is a ubiquitous component of the Earth system that poorly understood. To date, global-scale understanding fire largely limited to annual extent burning as detected by satellites. This problematic because multidimensional, and focus on single metric belies its complexity importance within system. address this, we identified five key characteristics regimes—size, frequency, intensity, season, extent—and combined new existing global datasets represent each. We assessed how these regime are related patterns climate, vegetation (biomes), human activity. Cross-correlations demonstrate only certain combinations possible, reflecting fundamental constraints in types regimes can exist. A Bayesian clustering algorithm syndromes regimes, or pyromes. Four pyromes distinctions between crown, litter, grass-fueled fires, relationship biomes climate not deterministic. Pyromes were partially discriminated basis available moisture rainfall seasonality. Human impacts also affected globally apparent driver fifth unique pyrome represents human-engineered modifications characteristics. Differing climates may be represented same pyrome, implying pathways change future response changes activity difficult predict.
Language: Английский
Citations
690Earth-Science Reviews, Journal Year: 2007, Volume and Issue: 84(1-2), P. 56 - 86
Published: June 7, 2007
Language: Английский
Citations
670Agricultural and Forest Meteorology, Journal Year: 1993, Volume and Issue: 63(3-4), P. 219 - 237
Published: March 1, 1993
Language: Английский
Citations
580Advances in ecological research/Advances in Ecological Research, Journal Year: 1995, Volume and Issue: unknown, P. 105 - 185
Published: Jan. 1, 1995
Language: Английский
Citations
465Trends in Ecology & Evolution, Journal Year: 2003, Volume and Issue: 18(3), P. 140 - 146
Published: March 1, 2003
Language: Английский
Citations
465The Science of The Total Environment, Journal Year: 2000, Volume and Issue: 262(3), P. 205 - 220
Published: Nov. 1, 2000
Language: Английский
Citations
436Biological Conservation, Journal Year: 2000, Volume and Issue: 96(3), P. 331 - 345
Published: Dec. 1, 2000
Language: Английский
Citations
428American Zoologist, Journal Year: 1986, Volume and Issue: 26(1), P. 81 - 106
Published: Feb. 1, 1986
Mechanistic approaches to community ecology are those which employ individual— ecological concepts—those of behavioral ecology, physiological and ecomorphology— as theoretical bases for understanding patterns. Such approaches, began explicitly about a decade ago, just now coming into prominence. They stand in contrast more traditional such MacArthur Levins (1967),which interpret almost strictly terms "megaparameters.".
Language: Английский
Citations
340Oikos, Journal Year: 2010, Volume and Issue: 119(6), P. 908 - 917
Published: April 16, 2010
The metacommunity framework is a powerful platform for evaluating patterns of species distribution in geographic or environmental space. Idealized (checkerboard, Clementsian, evenly spaced, Gleasonian and nested distributions) give the shape. Each pattern represents an area multidimensional continuum structures; however, current approach to analysis spatial structure metacommunities incomplete. To address this, we describe additional non-random structures illustrate how they may be discerned via objective criteria. First, distinguish three distinct forms loss structures, which should improve identification structuring mechanisms patterns. Second, define six quasi-structures that are consistent with conceptual underpinnings Gleasonian, spaced distributions. Finally, demonstrate combinations at smaller extents aggregate form Clementsian larger extents. These refinements facilitate best-fit patterns, associated mechanisms, informative scales interpretation. This analytical applied network properties within communities (i.e. interspecific interactions) has broad application ecology biogeography.
Language: Английский
Citations
304