Knowledge (XXG)

Extinction debt

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428:. Neutral theory has very different assumptions than the metapopulation models described above. It predicts that the abundance and distribution of species can be predicted entirely through random processes, without considering the traits of individual species. As extinction debt arises in models under such different assumptions, it is robust to different kinds of models. Models derived from neutral theory have successfully predicted extinction times for a number of bird species, but perform poorly at both very small and very large spatial scales. 403:
even be more common than other species, are more likely to become extinct than rarer, less competitive, better dispersing species. This has been one of the more controversial components of the model, as there is little evidence for this trade-off in many ecosystems, and in many empirical studies dominant competitors were least likely species to become extinct. A later modification of the model showed that these trade-off assumptions may be relaxed, but need to exist partially, in order for the theory to work.
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condition of habitat in the intact habitat, and, assuming this represents equilibrium, use it to predict the number of species in the cleared habitat. If this prediction is lower than the actual number of species in the cleared habitat, then the difference represents extinction debt. This method requires many of the same assumptions as methods comparing the past and present.
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Extinction debts incurred due to human actions have shorter timescales. Local extinction of birds from rainforest fragmentation occurs over years or decades, while plants in fragmented grasslands show debts lasting 50–100 years. Tree species in fragmented temperate forests have debts lasting 200
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agriculture in forests, and could also occur due to decreased growth of species from pollutants. Predicted patterns of extinction debt differ between models, though. For instance, habitat destruction resembling slash-and-burn agriculture is thought to affect rare species rather than poor colonizers.
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Most studies of extinction debt compare species numbers with habitat patterns from the past and habitat patterns in the present. If the present populations of species are more closely related to past habitat patterns than present, extinction debt is a likely explanation. The magnitude of extinction
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Extinction debt is difficult to detect and measure. Processes that drive extinction debt are inherently slow and highly variable (noisy), and it is difficult to locate or count the very small populations of near-extinct species. Because of these issues, most measures of extinction debt have a great
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Further theoretical work has shown that extinction debt can occur under many different circumstances, driven by different mechanisms and under different model assumptions. The original model predicted extinction debt as a result of habitat destruction in a system of small, isolated habitats such as
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ability and colonization ability. That is, a species that competes well against other species, and is more likely to become dominant in an area, is less likely to colonize new habitats due to evolutionary trade-offs. One of the implications of this assumption is that better competitors, which may
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If data on past species numbers or habitat are not available, species debt can also be estimated by comparing two different habitats: one which is mostly intact, and another which has had areas cleared and is smaller and more fragmented. One can then measure the relationship of species with the
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If one has information on species populations from the past in addition to the present, the magnitude of extinction debt can be estimated. One can use the relationship between species and habitat from the past to predict the number of species expected in the present. The difference between this
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Extinction debt may be local or global, but most examples are local as these are easier to observe and model. It is most likely to be found in long-lived species and species with very specific habitat requirements (specialists). Extinction debt has important implications for conservation, as it
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Triantis, K. A.; Borges, P. A. V.; Ladle, R. J.; Hortal, J.; Cardoso, P.; Gaspar, C.; Dinis, F.; Mendonça, E.; Silveira, L. M. A.; Gabriel, R.; Melo, C.; Santos, A. M. C.; Amorim, I. R.; Ribeiro, S. R. P.; Serrano, A. R. M.; Quartau, J. A.; Whittaker, R. J. (2010). "Extinction debt on oceanic
439:, that is, just below the population level or habitat occupancy levels required sustain their population, will have long-term extinction debts. Finally, extinction debts are predicted to last longer in landscapes with a few large patches of habitat, rather than many small ones. 507:
based models, extinction debts measured in this way may not conform with metapopulation models' predictions. The relationship between habitat and species number can also be represented by much more complex models that simulate the behavior of many species independently.
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Kuussaari, M.; Bommarco, R.; Heikkinen, R. K.; Helm, A.; Krauss, J.; Lindborg, R.; Öckinger, E.; PĂ€rtel, M.; Pino, J.; RodĂ , F.; Stefanescu, C.; Teder, T.; Zobel, M.; Steffan-Dewenter, I. (2009). "Extinction debt: a challenge for biodiversity conservation".
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Economic analyses have shown that including extinction in management decision-making process changes decision outcomes, as the decision to destroy habitat changes conservation value in the future as well as the present. It is estimated that in
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used this model to predict that species would persist long after they no longer had sufficient habitat to support them. When used to estimate extinction debts of tropical tree species, the model predicted debts lasting 50–400 years.
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The extinction debt concept may require revision of the value of land for species conservation, as the number of species currently present in a habitat may not be a good measure of the habitat's ability to support species (see
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have also shown that extinction debt will last longer if it occurs in response to large habitat impacts (as the system will move farther from equilibrium), and if species are long-lived. Also, species just below their
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implies that species may become extinct due to past habitat destruction, even if continued impacts cease, and that current reserves may not be sufficient to maintain the species that occupy them. Interventions such as
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Extinction debts that reach equilibrium in relatively short time scales (years to decades) can be observed via measuring the change in species numbers in the time following an impact on habitat. For instance, in the
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that did not experience deforestation, showed that long-lived and slow-growing species were more common than equilibrium models would predict, indicating that their presence was due to lingering extinction debt.
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McCarthy, M. A.; Lindenmayer, D. B.; Drechsler, M. (1997). "Deudas de Extincion y Riesgos Enfrentados por un Numero Abundante de Especies" [Extinction Debts and Risks Faced by Abundant Species].
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This method requires the assumption that in the past species and their habitat were in equilibrium, which is often unknown. Also, a common relationship used to equate habitat and species number is the
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Vellend, M.; Verheyen, K.; Jacquemyn, H.; Kolb, A.; Van Calster, H.; Peterken, G.; Hermy, M. (2006). "Extinction Debt of Forest Plants Persists for More Than a Century Following Habitat Fragmentation".
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Studies of European grasslands show evidence of extinction debt through both comparisons with the past and between present-day systems with different levels of human impacts. The species diversity of
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living on moss habitats demonstrated that extinction debt occurs after habitat destruction. In these experiments, it took 6–12 months for species to die out following the destruction of habitat.
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to other patches. However, as other patches have been destroyed or rendered inaccessible due to fragmentation, this "insurance" effect is reduced and the species may ultimately become extinct.
702:) in the future. As extinction debt may last longest near extinction thresholds, it may be hardest to detect the threat of extinction for species that conservation could benefit the most. 65:
may survive for many years even after reproduction of new trees has become impossible, and thus they may be committed to extinction. Technically, extinction debt generally refers to the
550:, where similar impacts have occurred, show no evidence of extinction debt. This may be due to differences in the scale of measurement or the level of specialization of grass species. 1091:
Korn, D.; Belka, Z.; Fröhlich, S.; RĂŒcklin, M. & Wendt, J. (Jan 2007). "The youngest African clymeniids (Ammonoidea, Late Devonian) – failed survivors of the Hangenberg Event".
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for a condemned prisoner's last walk to the execution chamber. "Dead clade walking" has since appeared in other scientists' writings about the aftermaths of mass extinctions.
302:– typically 2–10 million years' duration) following a mass extinction than in the stages preceding the mass extinction. His analysis focused on marine 240:
species. In New Zealand, the local extinction of several species of pollinating birds in 1870 has caused a long-term reduction in the reproduction of the shrub species
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Due to the logistical and ethical difficulties of inciting extinction debt, there are few studies of extinction debt in controlled experiments. However, experiments
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Anderson, S. H.; Kelly, D.; Ladley, J. J.; Molloy, S.; Terry, J. (2011). "Cascading Effects of Bird Functional Extinction Reduce Pollination and Plant Density".
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islands. Later models showed that extinction debt could occur in systems where habitat destruction occurs in small areas within a large area of habitat, as in
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or islands but interact via immigration between the patches. In this model, species persist via a balance between random local extinctions in patches and
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Etienne, R.; Nagelkerke, C. (2002). "Non-equilibria in Small Metapopulations: Comparing the Deterministic Levins Model with its Stochastic Counterpart".
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3–4.5 million years ago. While bryozoan populations dropped severely at this time, extinction of these species took another 1–2 million years.
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Sang, A.; Teder, T.; Helm, A.; PĂ€rtel, M. (2010). "Indirect evidence for an extinction debt of grassland butterflies half century after habitat loss".
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in order to prevent extinction, as occurred in the slowing of extinction in Amazon forest birds above. In another example, it has been found that
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Jackson, S. T.; Sax, D. F. (2010). "Balancing biodiversity in a changing environment: extinction debt, immigration credit and species turnover".
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Post-extinction physical environments differed from pre-extinction environments in ways which were disadvantageous to the "dead clades walking".
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that have lost area since the 1930s, 17–70% of species are estimated to be committed to extinction. However, studies of similar grasslands in
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Adriaens, D.; Honnay, O.; Hermy, M. (2006). "No evidence of a plant extinction debt in highly fragmented calcareous grasslands in Belgium".
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Cowlishaw, G. (1999). "Predicting the Pattern of Decline of African Primate Diversity: an Extinction Debt from Historical Deforestation".
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Wearn, O. R.; Reuman, D. C.; Ewers, R. M. (2012). "Extinction Debt and Windows of Conservation Opportunity in the Brazilian Amazon".
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Leroux, A. D.; Martin, V. L.; Goeschl, T. (2009). "Optimal conservation, extinction debt, and the augmented quasi-option value☆".
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Carroll, C.; Noss, R. F.; Paquet, P. C.; Schumaker, N. H. (2004). "Extinction Debt of Protected Areas in Developing Landscapes".
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may not be sufficient to protect species from extinction. However, the long time scales of extinction debt may allow for habitat
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forest into smaller fragments. The extinction rate slowed, however, as forest regrew in the spaces in between habitat fragments.
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Berglund, H.; Jonsson, B. G. (2005). "Verifying an Extinction Debt among Lichens and Fungi in Northern Swedish Boreal Forests".
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are likely to become extinct, but this finding allows the modification of reserve networks to better support their populations.
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is the corollary to extinction debt. It refers to the number of species likely to migrate to an area after an event such as the
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Gonzalez, A. (2000). "Community relaxation in fragmented landscapes: the relation between species richness, area and age".
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on these islands are believed to be committed to extinction, with many islands likely to lose more than 90% of species.
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Helm, A.; Hanski, I.; Partel, M. (2005). "Slow response of plant species richness to habitat loss and fragmentation".
1117:"Popular phrases like ‘Lazarus taxon’, ‘Elvis taxon’, and ‘dead clade walking’ were first coined for gastropods ...": 730: 4187: 3901: 3621: 2825: 2722: 2106: 199:. These cause extinction debt by reducing the ability of species to persist via immigration to new habitats. Under 4082: 3694: 3586: 3444: 3429: 3424: 2815: 2448: 612:, more than 95% of native forests have been destroyed in the past 600 years. As a result, more than half of 320:
that developed after recoveries from mass extinctions may have been less favorable for the "dead clades walking".
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Cousins, S. A. O.; Vanhoenacker, D. (2011). "Detection of extinction debt depends on scale and specialisation".
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Lindborg, R.; Eriksson, O. (2004). "Historical Landscape Connectivity Affects Present Plant Species Diversity".
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Tilman, D.; May, R. M.; Lehman, C. L.; Nowak, M. A. (1994). "Habitat destruction and the extinction debt".
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The time to "payoff" of extinction debt can be very long. Islands that lost habitat at the end of the last
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or other environmental impacts, many species are still likely to become extinct. Protection of existing
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that occurred between 1775 and 1900. Detailed modeling of species behavior, based on similar forests in
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since they constitute the most abundant group of fossils and are therefore the least likely to produce
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One of the assumptions underlying the original extinction debt model was a trade-off between species'
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show an extinction debt in fragments of ancient forest. However, species of lichens that are habitat
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Extinction debt occurs because of time delays between impacts on a species, such as destruction of
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10,000 years ago still appear to be losing species as a result. It has been shown that some
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Baldi, A.; Voros, J. (2006). "Extinction debt of Hungarian reserves: A historical perspective".
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The existence of extinction debt in many different ecosystems has important implications for
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debt (i.e., number of species likely to become extinct) can not be estimated by this method.
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Jablonski recognized at least four patterns in the fossil record following mass extinctions:
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appears to be a remnant of more connected landscapes present 50 to 100 years ago. In
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patterns disturbed by the extinction event but soon continuing on the previous trajectory
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Most recently, extinction debts have been estimated through the use models derived from
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Banks, J. E. (1997). "Do Imperfect Trade-Offs Affect the Extinction Debt Phenomenon?".
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in an area likely to become extinct, rather than the prospects of any one species, but
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are estimated to have, on average, a local extinction debt of 30% for forest-dwelling
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continued to become extinct locally for 12 years following logging that broke up
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when referring to the species affected. The phrase "dead clade walking" was coined by
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Tilman et al. demonstrated that extinction debt could occur using a mathematical
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Proceedings of the National Academy of Sciences of the United States of America
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an increase in diversity and species richness, as in the mammals following the
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so that its population slowly declines. Extinction debts may also be caused by
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Hanski, I.; Ovaskainen, O. (2002). "Extinction Debt at Extinction Threshold".
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NĂŒtzel, A. (September 2005). "Recovery of gastropods in the Early Triassic".
310:. Jablonski suggested that two possible explanations deserved further study: 4032: 3986: 3714: 3158: 3128: 2928: 2883: 2858: 2795: 2785: 2760: 2752: 2697: 2398: 1892: 1586: 1272: 1218: 994: 350: 317: 214: 1900: 1708: 1605: 1562:"Neutral theory as a predictor of avifaunal extinctions after habitat loss" 1546: 1538: 1438: 1337: 1319: 1280: 1237: 1077: 1058: 1013: 905: 870: 821: 802: 710:, ongoing extinction debt may cost between $ 88 million and $ 467 million. 123:
used the term "relaxation time" to describe a similar phenomenon in 1972.
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than are thought to be able to be supported by current nature reserves.
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will cause the earth to continue to warm for centuries even if no more
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estimate and the actual number of species is the extinction debt.
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are multiple populations of a species that live in separate
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10.1890/0012-9658(1997)078[1597:DITOAT]2.0.CO;2
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Extinction debt is caused by many of the same drivers as
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Proceedings of the Royal Society B: Biological Sciences
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large-scale patterns continuing with little disruption
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may also cause extinction debt by reducing a species'
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Future extinction of species due to events in the past
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(2009). 658:currently has approximately nine more species of 654:Based on historical species-area relationships, 590:Extinction debt has been found among species of 203:conditions, a species may become extinct in one 1774: 1772: 1649: 1647: 1645: 1566:Proceedings of the National Academy of Sciences 1379: 1377: 1349: 1347: 1197:Proceedings of the National Academy of Sciences 1025: 1023: 843: 841: 839: 837: 835: 833: 831: 782:Proceedings of the National Academy of Sciences 771: 769: 767: 765: 2502:International Union for Conservation of Nature 1411: 1409: 1407: 674:. It implies that in the absence of further 3361: 2614: 2077: 1617: 1615: 963: 961: 8: 1949: 1947: 1146: 1144: 1142: 917: 915: 126:Extinction debt is also known by the terms 3582:Latitudinal gradients in species diversity 3368: 3354: 3346: 2621: 2607: 2599: 2559:The Sixth Extinction: An Unnatural History 2305: 2084: 2070: 2062: 144:, a film whose title is based on American 1847: 1671: 1595: 1585: 1327: 1227: 1217: 1067: 1057: 1003: 993: 811: 801: 3480:Predator–prey (Lotka–Volterra) equations 3119:Tritrophic interactions in plant defense 512:Comparing impacted and pristine habitats 3512:Random generalized Lotka–Volterra model 761: 207:yet continue to survive because it can 155:, extinction debt is analogous to the " 46:due to events in the past. The phrases 3320:Herbivore adaptations to plant defense 103:was first used in 1994 in a paper by 7: 3335:Predator avoidance in schooling fish 2583: 580:generalists, rather than specialists 3785:Intermediate disturbance hypothesis 2517:Voluntary Human Extinction Movement 2266:Extinction risk from climate change 138:as early as 2001 as a reference to 3538:Ecological effects of biodiversity 1190:Sax, D. F.; Gaines, S. D. (2008). 25: 2874:Generalist and specialist species 1560:Halley, J. M.; Iwasa, Y. (2011). 886:Trends in Ecology & Evolution 851:Trends in Ecology & Evolution 3597:Occupancy–abundance relationship 2582: 2573: 2572: 2538:Decline in amphibian populations 2507:IUCN Species Survival Commission 2160: 1995:10.1111/j.1523-1739.2004.00083.x 1938:10.1046/j.1523-1739.1999.98433.x 1858:10.1111/j.1600-0587.2010.06203.x 1793:10.1111/j.1523-1739.2005.00550.x 1701:10.1111/j.1461-0248.2005.00841.x 1673:10.1111/j.1472-4642.2008.00497.x 1636:10.1046/j.1523-1739.2002.00342.x 1467:10.1046/j.1523-1739.1997.95381.x 1368:10.1046/j.1461-0248.2000.00171.x 744: 366:Origins in metapopulation models 294:was significantly higher in the 3617:Relative abundance distribution 3330:Plant defense against herbivory 3197:Competitive exclusion principle 2909:Mesopredator release hypothesis 2213:Human impact on the environment 1302:O'Dea, A.; Jackson, J. (2009). 280:end-Cretaceous extinction event 3202:Consumer–resource interactions 2193:Climate variability and change 1519:Journal of Theoretical Biology 1151:Loehle, C.; Li, B. L. (1996). 690:in very small reserves in the 486:Comparing the past and present 1: 4048:Biological data visualization 3875:Environmental niche modelling 3602:Population viability analysis 2543:Decline in insect populations 2486:IUCN Red List extinct species 275:(4) unbridled diversification 253:(1) survival without recovery 81:may reverse extinction debt. 3533:Density-dependent inhibition 1820:10.1016/j.biocon.2010.03.015 1763:10.1016/j.biocon.2010.11.009 1736:10.1016/j.biocon.2006.06.006 666:Applications to conservation 594:living in the grasslands on 263:(2) continuity with setbacks 171:are emitted. Similarly, the 4002:Liebig's law of the minimum 3837:Resource selection function 2728:Metabolic theory of ecology 1660:Diversity and Distributions 626:deforestation in the Amazon 574:In Sweden, some species of 407:Development in other models 89:restoration of an ecosystem 4204: 3902:Niche apportionment models 3622:Relative species abundance 2826:Primary nutritional groups 2723:List of feeding behaviours 2107:Background extinction rate 2022:10.1016/j.jeem.2008.10.002 1968:10.1016/j.baae.2005.09.005 1133:10.1016/j.crpv.2005.02.007 898:10.1016/j.tree.2009.10.001 863:10.1016/j.tree.2009.04.011 4151: 4083:Ecosystem based fisheries 3695:Interspecific competition 3587:Minimum viable population 3445:Maximum sustainable yield 3430:Intraspecific competition 3425:Effective population size 3305:Anti-predator adaptations 2816:Photosynthetic efficiency 2568: 2429:End-Jurassic or Tithonian 2158: 1956:Basic and Applied Ecology 1105:10.1080/00241160410002054 776:Jablonski, David (2001). 298:(major subdivision of an 132:survival without recovery 52:survival without recovery 4073:Ecological stoichiometry 4038:Alternative stable state 2481:Lists of extinct species 624:Of extinction from past 417:Models that incorporate 390:of new patches. Tilman 175:may continue long after 3917:Ontogenetic niche shift 3780:Ideal free distribution 3690:Ecological facilitation 3440:Malthusian growth model 3410:Consumer-resource model 3267:Paradox of the plankton 3232:Energy systems language 2952:Chemoorganoheterotrophy 2919:Optimal foraging theory 2894:Heterotrophic nutrition 1893:10.1126/science.1219013 1808:Biological Conservation 1751:Biological Conservation 1724:Biological Conservation 1587:10.1073/pnas.1011217108 1273:10.1126/science.1199092 1219:10.1073/pnas.0802290105 1157:Ecological Applications 995:10.1073/pnas.69.11.3199 361:Theoretical development 269:(3) unbroken continuity 153:threats to biodiversity 54:express the same idea. 4063:Ecological forecasting 4007:Marginal value theorem 3805:Landscape epidemiology 3740:Cross-boundary subsidy 3675:Biological interaction 3025:Microbial intelligence 2713:Green world hypothesis 2286:Latent extinction risk 1539:10.1006/jtbi.2002.3135 1320:10.1098/rspb.2009.0844 1121:Comptes Rendus Palevol 1059:10.1073/pnas.102163299 803:10.1073/pnas.101092598 605:On the islands of the 243:Rhabdothamnus solandri 4068:Ecological humanities 3967:Ecological energetics 3912:Niche differentiation 3775:Habitat fragmentation 3543:Ecological extinction 3490:Small population size 3242:Feed conversion ratio 3222:Ecological succession 3154:San Francisco Estuary 3068:Ecological efficiency 3010:Microbial cooperation 2243:Paradox of enrichment 2132:Functional extinction 2122:Ecological extinction 1030:Jablonski, D (2002). 473:Long-term observation 468:Observational methods 452:Experimental evidence 448:deal of uncertainty. 193:habitat fragmentation 4093:Evolutionary ecology 4058:Ecological footprint 4053:Ecological economics 3977:Ecological threshold 3972:Ecological indicator 3842:Source–sink dynamics 3795:Land change modeling 3790:Insular biogeography 3642:Species distribution 3381:Modelling ecosystems 3040:Microbial metabolism 2879:Intraguild predation 2668:Biogeochemical cycle 2634:Modelling ecosystems 2512:Extinction Rebellion 2454:Pliocene–Pleistocene 2336:Cretaceous–Paleogene 2281:Hypothetical species 2271:Extinction threshold 2228:Overabundant species 1983:Conservation Biology 1925:Conservation Biology 1781:Conservation Biology 1624:Conservation Biology 1455:Conservation Biology 1204:(Suppl 1): 11490–7. 968:Diamond, JM (1972). 437:extinction threshold 163:, which states that 4143:Theoretical ecology 4118:Natural environment 3982:Ecosystem diversity 3952:Ecological collapse 3942:Bateman's principle 3897:Limiting similarity 3810:Landscape limnology 3632:Species homogeneity 3470:Population modeling 3465:Population dynamics 3282:Trophic state index 2439:Cenomanian-Turonian 2384:Cambrian–Ordovician 2316:Ordovician–Silurian 2223:Mutational meltdown 2208:Habitat destruction 2127:Extinct in the wild 1885:2012Sci...337..228W 1578:2011PNAS..108.2316H 1531:2002JThBi.219..463E 1265:2011Sci...331.1068A 1259:(6020): 1068–1071. 1210:2008PNAS..10511490S 1050:2002PNAS...99.8139J 986:1972PNAS...69.3199D 936:1994Natur.371...65T 794:2001PNAS...98.5393J 676:habitat destruction 432:Mathematical models 197:habitat destruction 79:habitat restoration 4154:Outline of ecology 4103:Industrial ecology 4098:Functional ecology 3962:Ecological deficit 3907:Niche construction 3870:Ecosystem engineer 3647:Species–area curve 3568:Introduced species 3383:: Other components 3315:Deimatic behaviour 3217:Ecological network 3149:North Pacific Gyre 3134:hydrothermal vents 3073:Ecological pyramid 3020:Microbial food web 2831:Primary production 2776:Foundation species 2047:on 2 February 2014 751:Ecology portal 731:Dead Clade Walking 719:An episode of the 714:In popular culture 630:Amazon rain forest 501:species-area curve 286:Rate of extinction 258:dead clade walking 221:or increasing its 173:current extinction 157:climate commitment 151:In discussions of 128:dead clade walking 85:Immigration credit 48:dead clade walking 18:Dead clade walking 4188:Landscape ecology 4160: 4159: 4043:Balance of nature 3800:Landscape ecology 3685:Community ecology 3627:Species diversity 3563:Indicator species 3558:Gradient analysis 3435:Logistic function 3343: 3342: 3300:Animal coloration 3277:Trophic mutualism 3015:Microbial ecology 2806:Photoheterotrophs 2791:Myco-heterotrophy 2703:Ecosystem ecology 2688:Carrying capacity 2653:Abiotic component 2596: 2595: 2548:Extinction symbol 2467: 2466: 2331:Triassic–Jurassic 2301:Extinction events 2177:Extinction vortex 2137:Genetic pollution 2041:Atlanta Blackstar 1314:(1673): 3629–34. 1044:(12): 8139–8144. 788:(10): 5393–5398. 700:carrying capacity 480:Amazon rainforest 343:Isthmus of Panama 179:on species halt. 169:greenhouse gasses 67:number of species 16:(Redirected from 4195: 3860:Ecological niche 3832:selection theory 3652:Umbrella species 3637:Species richness 3573:Invasive species 3553:Flagship species 3460:Population cycle 3455:Overexploitation 3420:Ecological yield 3370: 3363: 3356: 3347: 3252:Mesotrophic soil 3192:Climax community 3124:Marine food webs 3063:Biomagnification 2864:Chemoorganotroph 2718:Keystone species 2678:Biotic component 2623: 2616: 2609: 2600: 2586: 2585: 2576: 2575: 2553:Human extinction 2444:Eocene–Oligocene 2326:Permian–Triassic 2306: 2276:Field of Bullets 2233:Overexploitation 2218:Muller's ratchet 2203:Invasive species 2164: 2152:Pseudoextinction 2147:Local extinction 2086: 2079: 2072: 2063: 2057: 2056: 2054: 2052: 2043:. Archived from 2032: 2026: 2025: 2005: 1999: 1998: 1978: 1972: 1971: 1951: 1942: 1941: 1932:(5): 1183–1193. 1919: 1913: 1912: 1879:(6091): 228–32. 1868: 1862: 1861: 1851: 1830: 1824: 1823: 1803: 1797: 1796: 1776: 1767: 1766: 1746: 1740: 1739: 1719: 1713: 1712: 1684: 1678: 1677: 1675: 1651: 1640: 1639: 1619: 1610: 1609: 1599: 1589: 1557: 1551: 1550: 1514: 1508: 1507: 1490:(5): 1597–1601. 1477: 1471: 1470: 1449: 1443: 1442: 1413: 1402: 1401: 1381: 1372: 1371: 1351: 1342: 1341: 1331: 1299: 1293: 1292: 1248: 1242: 1241: 1231: 1221: 1187: 1181: 1180: 1148: 1137: 1136: 1127:(6–7): 501–515. 1115: 1109: 1108: 1088: 1082: 1081: 1071: 1061: 1027: 1018: 1017: 1007: 997: 980:(11): 3199–203. 965: 956: 955: 944:10.1038/371065a0 919: 910: 909: 881: 875: 874: 845: 826: 825: 815: 805: 773: 749: 748: 747: 540:alvar grasslands 227:invasive species 141:Dead Man Walking 21: 4203: 4202: 4198: 4197: 4196: 4194: 4193: 4192: 4163: 4162: 4161: 4156: 4147: 4133:Systems ecology 4021: 3992:Extinction debt 3957:Ecological debt 3947:Bioluminescence 3928: 3921: 3890:marine habitats 3865:Ecological trap 3846: 3726: 3719: 3662: 3656: 3612:Rapoport's rule 3607:Priority effect 3548:Endemic species 3516: 3475:Population size 3391: 3384: 3374: 3344: 3339: 3292: 3286: 3272:Trophic cascade 3182:Bioaccumulation 3165: 3092: 3049: 2971: 2938: 2835: 2747: 2708:Ecosystem model 2641: 2627: 2597: 2592: 2564: 2521: 2490: 2473:Extinct species 2463: 2419:Carnian Pluvial 2364:Great Oxidation 2352: 2295: 2261:Extinction debt 2253: 2247: 2198:Genetic erosion 2181: 2165: 2156: 2095: 2090: 2060: 2050: 2048: 2034: 2033: 2029: 2007: 2006: 2002: 1980: 1979: 1975: 1953: 1952: 1945: 1921: 1920: 1916: 1870: 1869: 1865: 1849:10.1.1.730.8154 1832: 1831: 1827: 1805: 1804: 1800: 1778: 1777: 1770: 1748: 1747: 1743: 1721: 1720: 1716: 1689:Ecology Letters 1686: 1685: 1681: 1653: 1652: 1643: 1621: 1620: 1613: 1559: 1558: 1554: 1516: 1515: 1511: 1479: 1478: 1474: 1451: 1450: 1446: 1431:10.1890/05-1182 1415: 1414: 1405: 1398:10.1890/04-0367 1383: 1382: 1375: 1356:Ecology Letters 1353: 1352: 1345: 1301: 1300: 1296: 1250: 1249: 1245: 1189: 1188: 1184: 1169:10.2307/2269483 1150: 1149: 1140: 1118: 1116: 1112: 1090: 1089: 1085: 1029: 1028: 1021: 967: 966: 959: 921: 920: 913: 883: 882: 878: 847: 846: 829: 775: 774: 763: 759: 745: 743: 740: 716: 692:Rocky Mountains 668: 622: 588: 560:Flemish Brabant 556: 528: 523: 514: 488: 475: 470: 454: 445: 409: 384:habitat patches 380:Metapopulations 376:metapopulations 372:ecosystem model 368: 363: 357:years or more. 327: 308:sampling errors 288: 185: 136:David Jablonski 113:Clarence Lehman 101:extinction debt 97: 36:extinction debt 28: 23: 22: 15: 12: 11: 5: 4201: 4199: 4191: 4190: 4185: 4180: 4175: 4165: 4164: 4158: 4157: 4152: 4149: 4148: 4146: 4145: 4140: 4135: 4130: 4125: 4120: 4115: 4113:Microecosystem 4110: 4105: 4100: 4095: 4090: 4085: 4080: 4075: 4070: 4065: 4060: 4055: 4050: 4045: 4040: 4035: 4029: 4027: 4023: 4022: 4020: 4019: 4014: 4012:Thorson's rule 4009: 4004: 3999: 3994: 3989: 3984: 3979: 3974: 3969: 3964: 3959: 3954: 3949: 3944: 3939: 3937:Assembly rules 3933: 3931: 3923: 3922: 3920: 3919: 3914: 3909: 3904: 3899: 3894: 3893: 3892: 3882: 3877: 3872: 3867: 3862: 3856: 3854: 3848: 3847: 3845: 3844: 3839: 3834: 3822: 3820:Patch dynamics 3817: 3815:Metapopulation 3812: 3807: 3802: 3797: 3792: 3787: 3782: 3777: 3772: 3767: 3762: 3757: 3752: 3747: 3742: 3737: 3731: 3729: 3721: 3720: 3718: 3717: 3712: 3710:Storage effect 3707: 3702: 3697: 3692: 3687: 3682: 3677: 3672: 3666: 3664: 3658: 3657: 3655: 3654: 3649: 3644: 3639: 3634: 3629: 3624: 3619: 3614: 3609: 3604: 3599: 3594: 3592:Neutral theory 3589: 3584: 3579: 3577:Native species 3570: 3565: 3560: 3555: 3550: 3545: 3540: 3535: 3530: 3524: 3522: 3518: 3517: 3515: 3514: 3509: 3508: 3507: 3502: 3492: 3487: 3482: 3477: 3472: 3467: 3462: 3457: 3452: 3450:Overpopulation 3447: 3442: 3437: 3432: 3427: 3422: 3417: 3412: 3407: 3402: 3396: 3394: 3386: 3385: 3375: 3373: 3372: 3365: 3358: 3350: 3341: 3340: 3338: 3337: 3332: 3327: 3322: 3317: 3312: 3307: 3302: 3296: 3294: 3288: 3287: 3285: 3284: 3279: 3274: 3269: 3264: 3259: 3257:Nutrient cycle 3254: 3249: 3247:Feeding frenzy 3244: 3239: 3234: 3229: 3227:Energy quality 3224: 3219: 3214: 3209: 3204: 3199: 3194: 3189: 3187:Cascade effect 3184: 3179: 3173: 3171: 3167: 3166: 3164: 3163: 3162: 3161: 3156: 3151: 3146: 3141: 3136: 3131: 3121: 3116: 3111: 3106: 3100: 3098: 3094: 3093: 3091: 3090: 3085: 3080: 3075: 3070: 3065: 3059: 3057: 3051: 3050: 3048: 3047: 3042: 3037: 3032: 3030:Microbial loop 3027: 3022: 3017: 3012: 3007: 3002: 2997: 2995:Lithoautotroph 2992: 2987: 2981: 2979: 2977:Microorganisms 2973: 2972: 2970: 2969: 2964: 2959: 2954: 2948: 2946: 2940: 2939: 2937: 2936: 2934:Prey switching 2931: 2926: 2921: 2916: 2911: 2906: 2901: 2896: 2891: 2886: 2881: 2876: 2871: 2866: 2861: 2856: 2851: 2845: 2843: 2837: 2836: 2834: 2833: 2828: 2823: 2818: 2813: 2811:Photosynthesis 2808: 2803: 2798: 2793: 2788: 2783: 2778: 2773: 2768: 2766:Chemosynthesis 2763: 2757: 2755: 2749: 2748: 2746: 2745: 2740: 2735: 2730: 2725: 2720: 2715: 2710: 2705: 2700: 2695: 2690: 2685: 2680: 2675: 2670: 2665: 2660: 2658:Abiotic stress 2655: 2649: 2647: 2643: 2642: 2628: 2626: 2625: 2618: 2611: 2603: 2594: 2593: 2591: 2590: 2580: 2569: 2566: 2565: 2563: 2562: 2555: 2550: 2545: 2540: 2535: 2529: 2527: 2523: 2522: 2520: 2519: 2514: 2509: 2504: 2498: 2496: 2492: 2491: 2489: 2488: 2483: 2477: 2475: 2469: 2468: 2465: 2464: 2462: 2461: 2456: 2451: 2449:Middle Miocene 2446: 2441: 2436: 2431: 2426: 2421: 2416: 2414:End-Capitanian 2411: 2406: 2401: 2396: 2391: 2386: 2381: 2376: 2371: 2366: 2360: 2358: 2354: 2353: 2351: 2350: 2349: 2348: 2338: 2333: 2328: 2323: 2318: 2312: 2310: 2303: 2297: 2296: 2294: 2293: 2288: 2283: 2278: 2273: 2268: 2263: 2257: 2255: 2249: 2248: 2246: 2245: 2240: 2235: 2230: 2225: 2220: 2215: 2210: 2205: 2200: 2195: 2189: 2187: 2183: 2182: 2180: 2179: 2173: 2171: 2167: 2166: 2159: 2157: 2155: 2154: 2149: 2144: 2139: 2134: 2129: 2124: 2119: 2114: 2109: 2103: 2101: 2097: 2096: 2091: 2089: 2088: 2081: 2074: 2066: 2059: 2058: 2027: 2000: 1973: 1943: 1914: 1863: 1842:(2): 285–294. 1825: 1798: 1768: 1741: 1714: 1679: 1641: 1611: 1572:(6): 2316–21. 1552: 1509: 1472: 1444: 1403: 1373: 1362:(5): 441–448. 1343: 1294: 1243: 1182: 1163:(3): 784–789. 1138: 1110: 1099:(3): 307–315. 1083: 1019: 957: 911: 876: 857:(10): 564–71. 827: 760: 758: 755: 754: 753: 739: 736: 735: 734: 715: 712: 667: 664: 621: 618: 587: 584: 555: 552: 527: 524: 522: 519: 513: 510: 505:metapopulation 487: 484: 474: 471: 469: 466: 453: 450: 444: 441: 426:neutral theory 414:slash-and-burn 408: 405: 367: 364: 362: 359: 326: 323: 322: 321: 315: 287: 284: 283: 282: 276: 273: 270: 267: 264: 261: 254: 231:climate change 184: 181: 161:climate change 96: 93: 38:is the future 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 4200: 4189: 4186: 4184: 4181: 4179: 4176: 4174: 4171: 4170: 4168: 4155: 4150: 4144: 4141: 4139: 4138:Urban ecology 4136: 4134: 4131: 4129: 4126: 4124: 4121: 4119: 4116: 4114: 4111: 4109: 4106: 4104: 4101: 4099: 4096: 4094: 4091: 4089: 4086: 4084: 4081: 4079: 4076: 4074: 4071: 4069: 4066: 4064: 4061: 4059: 4056: 4054: 4051: 4049: 4046: 4044: 4041: 4039: 4036: 4034: 4031: 4030: 4028: 4024: 4018: 4015: 4013: 4010: 4008: 4005: 4003: 4000: 3998: 3997:Kleiber's law 3995: 3993: 3990: 3988: 3985: 3983: 3980: 3978: 3975: 3973: 3970: 3968: 3965: 3963: 3960: 3958: 3955: 3953: 3950: 3948: 3945: 3943: 3940: 3938: 3935: 3934: 3932: 3930: 3924: 3918: 3915: 3913: 3910: 3908: 3905: 3903: 3900: 3898: 3895: 3891: 3888: 3887: 3886: 3883: 3881: 3878: 3876: 3873: 3871: 3868: 3866: 3863: 3861: 3858: 3857: 3855: 3853: 3849: 3843: 3840: 3838: 3835: 3833: 3831: 3827: 3823: 3821: 3818: 3816: 3813: 3811: 3808: 3806: 3803: 3801: 3798: 3796: 3793: 3791: 3788: 3786: 3783: 3781: 3778: 3776: 3773: 3771: 3770:Foster's rule 3768: 3766: 3763: 3761: 3758: 3756: 3753: 3751: 3748: 3746: 3743: 3741: 3738: 3736: 3733: 3732: 3730: 3728: 3722: 3716: 3713: 3711: 3708: 3706: 3703: 3701: 3698: 3696: 3693: 3691: 3688: 3686: 3683: 3681: 3678: 3676: 3673: 3671: 3668: 3667: 3665: 3659: 3653: 3650: 3648: 3645: 3643: 3640: 3638: 3635: 3633: 3630: 3628: 3625: 3623: 3620: 3618: 3615: 3613: 3610: 3608: 3605: 3603: 3600: 3598: 3595: 3593: 3590: 3588: 3585: 3583: 3580: 3578: 3574: 3571: 3569: 3566: 3564: 3561: 3559: 3556: 3554: 3551: 3549: 3546: 3544: 3541: 3539: 3536: 3534: 3531: 3529: 3526: 3525: 3523: 3519: 3513: 3510: 3506: 3503: 3501: 3498: 3497: 3496: 3493: 3491: 3488: 3486: 3483: 3481: 3478: 3476: 3473: 3471: 3468: 3466: 3463: 3461: 3458: 3456: 3453: 3451: 3448: 3446: 3443: 3441: 3438: 3436: 3433: 3431: 3428: 3426: 3423: 3421: 3418: 3416: 3413: 3411: 3408: 3406: 3403: 3401: 3398: 3397: 3395: 3393: 3387: 3382: 3378: 3371: 3366: 3364: 3359: 3357: 3352: 3351: 3348: 3336: 3333: 3331: 3328: 3326: 3323: 3321: 3318: 3316: 3313: 3311: 3308: 3306: 3303: 3301: 3298: 3297: 3295: 3289: 3283: 3280: 3278: 3275: 3273: 3270: 3268: 3265: 3263: 3260: 3258: 3255: 3253: 3250: 3248: 3245: 3243: 3240: 3238: 3235: 3233: 3230: 3228: 3225: 3223: 3220: 3218: 3215: 3213: 3210: 3208: 3205: 3203: 3200: 3198: 3195: 3193: 3190: 3188: 3185: 3183: 3180: 3178: 3175: 3174: 3172: 3168: 3160: 3157: 3155: 3152: 3150: 3147: 3145: 3142: 3140: 3137: 3135: 3132: 3130: 3127: 3126: 3125: 3122: 3120: 3117: 3115: 3112: 3110: 3107: 3105: 3102: 3101: 3099: 3095: 3089: 3088:Trophic level 3086: 3084: 3081: 3079: 3076: 3074: 3071: 3069: 3066: 3064: 3061: 3060: 3058: 3056: 3052: 3046: 3045:Phage ecology 3043: 3041: 3038: 3036: 3035:Microbial mat 3033: 3031: 3028: 3026: 3023: 3021: 3018: 3016: 3013: 3011: 3008: 3006: 3003: 3001: 2998: 2996: 2993: 2991: 2990:Bacteriophage 2988: 2986: 2983: 2982: 2980: 2978: 2974: 2968: 2965: 2963: 2960: 2958: 2957:Decomposition 2955: 2953: 2950: 2949: 2947: 2945: 2941: 2935: 2932: 2930: 2927: 2925: 2922: 2920: 2917: 2915: 2912: 2910: 2907: 2905: 2904:Mesopredators 2902: 2900: 2897: 2895: 2892: 2890: 2887: 2885: 2882: 2880: 2877: 2875: 2872: 2870: 2867: 2865: 2862: 2860: 2857: 2855: 2852: 2850: 2849:Apex predator 2847: 2846: 2844: 2842: 2838: 2832: 2829: 2827: 2824: 2822: 2819: 2817: 2814: 2812: 2809: 2807: 2804: 2802: 2799: 2797: 2794: 2792: 2789: 2787: 2784: 2782: 2779: 2777: 2774: 2772: 2769: 2767: 2764: 2762: 2759: 2758: 2756: 2754: 2750: 2744: 2741: 2739: 2736: 2734: 2731: 2729: 2726: 2724: 2721: 2719: 2716: 2714: 2711: 2709: 2706: 2704: 2701: 2699: 2696: 2694: 2691: 2689: 2686: 2684: 2683:Biotic stress 2681: 2679: 2676: 2674: 2671: 2669: 2666: 2664: 2661: 2659: 2656: 2654: 2651: 2650: 2648: 2644: 2639: 2635: 2631: 2624: 2619: 2617: 2612: 2610: 2605: 2604: 2601: 2589: 2581: 2579: 2571: 2570: 2567: 2561: 2560: 2556: 2554: 2551: 2549: 2546: 2544: 2541: 2539: 2536: 2534: 2531: 2530: 2528: 2524: 2518: 2515: 2513: 2510: 2508: 2505: 2503: 2500: 2499: 2497: 2495:Organizations 2493: 2487: 2484: 2482: 2479: 2478: 2476: 2474: 2470: 2460: 2457: 2455: 2452: 2450: 2447: 2445: 2442: 2440: 2437: 2435: 2432: 2430: 2427: 2425: 2422: 2420: 2417: 2415: 2412: 2410: 2407: 2405: 2404:Carboniferous 2402: 2400: 2397: 2395: 2392: 2390: 2387: 2385: 2382: 2380: 2377: 2375: 2372: 2370: 2369:End-Ediacaran 2367: 2365: 2362: 2361: 2359: 2355: 2347: 2344: 2343: 2342: 2339: 2337: 2334: 2332: 2329: 2327: 2324: 2322: 2321:Late Devonian 2319: 2317: 2314: 2313: 2311: 2307: 2304: 2302: 2298: 2292: 2291:Living fossil 2289: 2287: 2284: 2282: 2279: 2277: 2274: 2272: 2269: 2267: 2264: 2262: 2259: 2258: 2256: 2250: 2244: 2241: 2239: 2236: 2234: 2231: 2229: 2226: 2224: 2221: 2219: 2216: 2214: 2211: 2209: 2206: 2204: 2201: 2199: 2196: 2194: 2191: 2190: 2188: 2184: 2178: 2175: 2174: 2172: 2168: 2163: 2153: 2150: 2148: 2145: 2143: 2142:Lazarus taxon 2140: 2138: 2135: 2133: 2130: 2128: 2125: 2123: 2120: 2118: 2117:De-extinction 2115: 2113: 2110: 2108: 2105: 2104: 2102: 2098: 2094: 2087: 2082: 2080: 2075: 2073: 2068: 2067: 2064: 2046: 2042: 2038: 2031: 2028: 2023: 2019: 2015: 2011: 2004: 2001: 1996: 1992: 1988: 1984: 1977: 1974: 1969: 1965: 1961: 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537: 533: 525: 520: 518: 511: 509: 506: 502: 496: 492: 485: 483: 481: 472: 467: 465: 463: 459: 451: 449: 442: 440: 438: 433: 429: 427: 422: 420: 419:stochasticity 415: 406: 404: 401: 396: 393: 389: 385: 381: 377: 373: 365: 360: 358: 354: 352: 348: 347:Pacific Ocean 344: 340: 336: 332: 324: 319: 316: 313: 312: 311: 309: 305: 301: 297: 293: 292:invertebrates 285: 281: 277: 274: 271: 268: 265: 262: 259: 256:also called “ 255: 252: 251: 250: 247: 245: 244: 239: 234: 232: 228: 224: 220: 216: 212: 210: 206: 205:habitat patch 202: 198: 194: 190: 182: 180: 178: 177:human impacts 174: 170: 166: 162: 158: 154: 149: 147: 143: 142: 137: 133: 129: 124: 122: 121:Jared Diamond 118: 114: 110: 106: 102: 94: 92: 90: 86: 82: 80: 74: 72: 68: 64: 60: 55: 53: 49: 45: 41: 37: 33: 19: 4173:Biogeography 4123:Regime shift 4108:Macroecology 3991: 3829: 3825: 3765:Edge effects 3735:Biogeography 3680:Commensalism 3528:Biodiversity 3405:Allee effect 3144:kelp forests 3097:Example webs 2962:Detritivores 2801:Organotrophs 2781:Kinetotrophs 2733:Productivity 2557: 2533:Anthropocene 2374:End-Botomian 2260: 2254:and concepts 2112:Coextinction 2049:. Retrieved 2045:the original 2040: 2030: 2013: 2009: 2003: 1986: 1982: 1976: 1959: 1955: 1929: 1923: 1917: 1876: 1872: 1866: 1839: 1835: 1828: 1811: 1807: 1801: 1784: 1780: 1754: 1750: 1744: 1727: 1723: 1717: 1692: 1688: 1682: 1663: 1659: 1627: 1623: 1569: 1565: 1555: 1522: 1518: 1512: 1487: 1481: 1475: 1458: 1454: 1447: 1425:(3): 542–8. 1422: 1418: 1389: 1385: 1359: 1355: 1311: 1307: 1297: 1256: 1252: 1246: 1201: 1195: 1185: 1160: 1156: 1124: 1120: 1113: 1096: 1092: 1086: 1041: 1035: 977: 973: 930:(6492): 65. 927: 923: 889: 885: 879: 854: 850: 785: 781: 724: 704: 696: 672:conservation 669: 653: 638: 623: 604: 589: 573: 557: 529: 515: 497: 493: 489: 476: 455: 446: 430: 423: 410: 397: 391: 388:colonization 369: 355: 341:rise of the 328: 289: 257: 248: 241: 235: 213: 186: 150: 146:prison slang 139: 131: 127: 125: 117:Martin Nowak 105:David Tilman 100: 98: 84: 83: 75: 71:colloquially 66: 56: 51: 47: 35: 29: 3760:Disturbance 3663:interaction 3485:Recruitment 3415:Depensation 3207:Copiotrophs 3078:Energy flow 3000:Lithotrophy 2944:Decomposers 2924:Planktivore 2899:Insectivore 2889:Heterotroph 2854:Bacterivore 2821:Phototrophs 2771:Chemotrophs 2743:Restoration 2693:Competition 2379:Dresbachian 1989:(4): 1110. 1814:(6): 1405. 1695:(1): 72–7. 1461:: 221–226. 1392:(7): 1840. 729:was named " 684:restoration 620:Vertebrates 610:Archipelago 592:butterflies 558:Forests in 400:competitive 374:of species 201:equilibrium 119:, although 95:Terminology 4183:Extinction 4167:Categories 4128:Sexecology 3705:Parasitism 3670:Antibiosis 3505:Resistance 3500:Resilience 3390:Population 3310:Camouflage 3262:Oligotroph 3177:Ascendency 3139:intertidal 3129:cold seeps 3083:Food chain 2884:Herbivores 2859:Carnivores 2786:Mixotrophs 2761:Autotrophs 2640:components 2459:Quaternary 2093:Extinction 2051:31 January 2035:Moore, A. 1962:(4): 289. 1834:islands". 1787:(2): 338. 1757:(2): 782. 1730:(2): 212. 1630:(3): 666. 757:References 726:Elementary 708:Costa Rica 634:contiguous 614:arthropods 582:, do not. 532:grasslands 526:Grasslands 458:microcosms 325:Time scale 318:Ecosystems 223:death rate 219:birth rate 189:extinction 109:Robert May 40:extinction 4033:Allometry 3987:Emergence 3715:Symbiosis 3700:Mutualism 3495:Stability 3400:Abundance 3212:Dominance 3170:Processes 3159:tide pool 3055:Food webs 2929:Predation 2914:Omnivores 2841:Consumers 2796:Mycotroph 2753:Producers 2698:Ecosystem 2663:Behaviour 2238:Overshoot 2100:Phenomena 2016:: 43–57. 1844:CiteSeerX 1836:Ecography 1666:: 88–97. 1504:0012-9658 1289:206530519 443:Detection 351:Caribbean 335:bryozoans 238:mutualist 215:Pollution 99:The term 4088:Endolith 4017:Xerosere 3929:networks 3745:Ecocline 3291:Defense, 2967:Detritus 2869:Foraging 2738:Resource 2578:Category 2526:See also 2424:Toarcian 2389:Ireviken 2346:Timeline 2341:Holocene 2252:Theories 1901:22798612 1709:16958870 1606:21262797 1547:12425979 1439:16602283 1338:19640882 1281:21292938 1238:18695231 1078:12060760 1014:16592024 906:19879014 871:19665254 822:11344284 738:See also 680:habitats 645:primates 596:Saaremaa 521:Examples 339:volcanic 304:molluscs 209:disperse 4178:Ecology 4078:Ecopath 3885:Habitat 3755:Ecotype 3750:Ecotone 3727:ecology 3725:Spatial 3661:Species 3521:Species 3392:ecology 3377:Ecology 3325:Mimicry 3293:counter 3237:f-ratio 2985:Archaea 2673:Biomass 2646:General 2638:Trophic 2630:Ecology 2588:Commons 2409:Olson's 1909:2321026 1881:Bibcode 1873:Science 1597:3038702 1574:Bibcode 1527:Bibcode 1483:Ecology 1419:Ecology 1386:Ecology 1329:2817302 1261:Bibcode 1253:Science 1229:2556416 1206:Bibcode 1177:2269483 1093:Lethaia 1046:Bibcode 982:Bibcode 952:4308409 932:Bibcode 790:Bibcode 723:series 660:raptors 656:Hungary 649:habitat 586:Insects 576:lichens 568:England 554:Forests 548:Belgium 544:Estonia 462:insects 349:to the 331:ice age 165:inertia 59:habitat 44:species 32:ecology 3109:Rivers 3005:Marine 2434:Aptian 2186:Causes 2170:Models 1907:  1899:  1846:  1707:  1604:  1594:  1545:  1502:  1437:  1336:  1326:  1287:  1279:  1236:  1226:  1175:  1076:  1069:123034 1066:  1012:  1005:389735 1002:  950:  924:Nature 904:  869:  820:  810:  641:Africa 607:Azores 536:Sweden 392:et al. 229:or by 183:Causes 4026:Other 3927:Other 3880:Guild 3852:Niche 3104:Lakes 2394:Mulde 2357:Other 2309:Major 1905:S2CID 1285:S2CID 1173:JSTOR 948:S2CID 813:33224 300:epoch 296:stage 159:" in 63:trees 3114:Soil 2053:2014 1897:PMID 1705:PMID 1602:PMID 1543:PMID 1500:ISSN 1435:PMID 1334:PMID 1277:PMID 1234:PMID 1074:PMID 1037:PNAS 1010:PMID 902:PMID 867:PMID 818:PMID 600:Muhu 598:and 195:and 130:and 115:and 50:and 2399:Lau 2018:doi 1991:doi 1964:doi 1934:doi 1889:doi 1877:337 1854:doi 1816:doi 1812:143 1789:doi 1759:doi 1755:144 1732:doi 1728:133 1697:doi 1668:doi 1632:doi 1592:PMC 1582:doi 1570:108 1535:doi 1523:219 1492:doi 1463:doi 1427:doi 1394:doi 1364:doi 1324:PMC 1316:doi 1312:276 1269:doi 1257:331 1224:PMC 1214:doi 1202:105 1165:doi 1129:doi 1101:doi 1064:PMC 1054:doi 1000:PMC 990:doi 940:doi 928:371 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1970:. 1966:: 1960:7 1940:. 1936:: 1911:. 1891:: 1883:: 1860:. 1856:: 1822:. 1818:: 1795:. 1791:: 1765:. 1761:: 1738:. 1734:: 1711:. 1699:: 1693:9 1676:. 1670:: 1638:. 1634:: 1608:. 1584:: 1576:: 1549:. 1537:: 1529:: 1506:. 1494:: 1469:. 1465:: 1441:. 1429:: 1400:. 1396:: 1370:. 1366:: 1360:3 1340:. 1318:: 1291:. 1271:: 1263:: 1240:. 1216:: 1208:: 1179:. 1167:: 1161:6 1135:. 1131:: 1125:4 1107:. 1103:: 1080:. 1056:: 1048:: 1016:. 992:: 984:: 954:. 942:: 934:: 908:. 896:: 873:. 861:: 824:. 800:: 792:: 20:)

Index

Dead clade walking
ecology
extinction
species
habitat
trees
colloquially
habitat restoration
restoration of an ecosystem
David Tilman
Robert May
Clarence Lehman
Martin Nowak
Jared Diamond
David Jablonski
Dead Man Walking
prison slang
threats to biodiversity
climate commitment
climate change
inertia
greenhouse gasses
current extinction
human impacts
extinction
habitat fragmentation
habitat destruction
equilibrium
habitat patch
disperse

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