Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Clarence L. Lehman is active.

Publication


Featured researches published by Clarence L. Lehman.


Science | 2006

Carbon-negative biofuels from low-input high-diversity grassland biomass.

David Tilman; Jason Hill; Clarence L. Lehman

Biofuels derived from low-input high-diversity (LIHD) mixtures of native grassland perennials can provide more usable energy, greater greenhouse gas reductions, and less agrichemical pollution per hectare than can corn grain ethanol or soybean biodiesel. High-diversity grasslands had increasingly higher bioenergy yields that were 238% greater than monoculture yields after a decade. LIHD biofuels are carbon negative because net ecosystem carbon dioxide sequestration (4.4 megagram hectare–1 year–1 of carbon dioxide in soil and roots) exceeds fossil carbon dioxide release during biofuel production (0.32 megagram hectare–1 year–1). Moreover, LIHD biofuels can be produced on agriculturally degraded lands and thus need to neither displace food production nor cause loss of biodiversity via habitat destruction.


The American Naturalist | 2000

Biodiversity, Stability, and Productivity in Competitive Communities

Clarence L. Lehman; David Tilman

Three markedly different models of multispecies competition—one mechanistic, one phenomenological, and one statistical—all predict that greater diversity increases the temporal stability of the entire community, decreases the temporal stability of individual populations, and increases community productivity. We define temporal stability as the ratio of mean abundance to its standard deviation. Interestingly, the temporal stability of entire communities is predicted to increase fairly linearly, without clear saturation, as diversity increases. Species composition is predicted to be as important as diversity in affecting community stability and productivity. The greater temporal stability of more diverse communities is caused by higher productivity at higher diversity (the “overyielding” effect), competitive interactions (the “covariance” effect), and statistical averaging (the “portfolio” effect). The relative contribution of each cause of temporal stability changes as diversity increases, but the net effect is that greater diversity stabilizes the community even though it destabilizes individual populations. This theory agrees with recent experiments and provides a degree of resolution to the diversity‐stability debate: both sides of the longstanding debate were correct, but one addressed population stability and the other addressed community stability.


The American Naturalist | 1998

DIVERSITY-STABILITY RELATIONSHIPS : STATISTICAL INEVITABILITY OR ECOLOGICAL CONSEQUENCE ?

David Tilman; Clarence L. Lehman; Charles E. Bristow

Department of Ecology, Evolution, and Behavior, 1987 Upper logical interactions, and for previous data (in Tilman Buford Circle, University of Minnesota, St. Paul, Minnesota 1996), the relationship between variance in species abun55108 dances and mean species abundances is such that there is little or no net effect of diversity on stability via statistical Submitted June 16, 1997; Accepted October 7, 1997 averaging. However, interspecific interactions, such as competition, that cause compensatory changes in the abundances of species can stabilize community biomass in these cases.


The American Naturalist | 1997

Habitat Destruction, Dispersal, and Deterministic Extinction in Competitive Communities

David Tilman; Clarence L. Lehman; Chengjun Yin

An analytical model of competitive coexistence in spatial habitats, modified to address habitat destruction, predicts that the most abundant species can be among the first species driven extinct by habitat destruction, given that abundant species are the poorest dispersers and best competitors. This contrasts with the classical view of biased extinction of rare species. Here we explore the robustness of this prediction both analytically and in spatially explicit simulations of more realistic cases. The prediction proved surprisingly robust. The poorest dispersers, which in this model generally are the best competitors and may be the most abundant species, were among the first driven extinct by habitat destruction whether they were abundant or rare, had short or long range dispersal, or reproduced continuously or periodically; whether competitive displacement was immediate or gradual; whether habitat destruction was clumped, uniform, or random and whether destruction occurred at once or progressively; and whether the habitat was large or small. The amount of destruction sufficient to produce extinctions changed considerably as model assumptions changed, but the biased extinction remained. The underlying reason for the robustness of our conclusions is the broad assumption that inferior competitors persist by virtue of greater dispersal ability and/or lower mortality rates. Further work on the forces allowing multispecies coexistence is thus essential for understanding the effects of habitat destruction on extinction.


PLOS Pathogens | 2010

Impact of Simian Immunodeficiency Virus Infection on Chimpanzee Population Dynamics

Rebecca S. Rudicell; James Holland Jones; Emily E. Wroblewski; Gerald H. Learn; Yingying Li; Joel D. Robertson; Elizabeth Greengrass; Falk Grossmann; Shadrack Kamenya; Lilian Pintea; Deus Mjungu; Elizabeth V. Lonsdorf; Anna Mosser; Clarence L. Lehman; D. Anthony Collins; Brandon F. Keele; Jane Goodall; Beatrice H. Hahn; Anne E. Pusey; Michael L. Wilson

Like human immunodeficiency virus type 1 (HIV-1), simian immunodeficiency virus of chimpanzees (SIVcpz) can cause CD4+ T cell loss and premature death. Here, we used molecular surveillance tools and mathematical modeling to estimate the impact of SIVcpz infection on chimpanzee population dynamics. Habituated (Mitumba and Kasekela) and non-habituated (Kalande) chimpanzees were studied in Gombe National Park, Tanzania. Ape population sizes were determined from demographic records (Mitumba and Kasekela) or individual sightings and genotyping (Kalande), while SIVcpz prevalence rates were monitored using non-invasive methods. Between 2002–2009, the Mitumba and Kasekela communities experienced mean annual growth rates of 1.9% and 2.4%, respectively, while Kalande chimpanzees suffered a significant decline, with a mean growth rate of −6.5% to −7.4%, depending on population estimates. A rapid decline in Kalande was first noted in the 1990s and originally attributed to poaching and reduced food sources. However, between 2002–2009, we found a mean SIVcpz prevalence in Kalande of 46.1%, which was almost four times higher than the prevalence in Mitumba (12.7%) and Kasekela (12.1%). To explore whether SIVcpz contributed to the Kalande decline, we used empirically determined SIVcpz transmission probabilities as well as chimpanzee mortality, mating and migration data to model the effect of viral pathogenicity on chimpanzee population growth. Deterministic calculations indicated that a prevalence of greater than 3.4% would result in negative growth and eventual population extinction, even using conservative mortality estimates. However, stochastic models revealed that in representative populations, SIVcpz, and not its host species, frequently went extinct. High SIVcpz transmission probability and excess mortality reduced population persistence, while intercommunity migration often rescued infected communities, even when immigrating females had a chance of being SIVcpz infected. Together, these results suggest that the decline of the Kalande community was caused, at least in part, by high levels of SIVcpz infection. However, population extinction is not an inevitable consequence of SIVcpz infection, but depends on additional variables, such as migration, that promote survival. These findings are consistent with the uneven distribution of SIVcpz throughout central Africa and explain how chimpanzees in Gombe and elsewhere can be at equipoise with this pathogen.


PLOS ONE | 2011

Entrepreneurs, Chance, and the Deterministic Concentration of Wealth

Joseph Fargione; Clarence L. Lehman; Stephen Polasky

In many economies, wealth is strikingly concentrated. Entrepreneurs–individuals with ownership in for-profit enterprises–comprise a large portion of the wealthiest individuals, and their behavior may help explain patterns in the national distribution of wealth. Entrepreneurs are less diversified and more heavily invested in their own companies than is commonly assumed in economic models. We present an intentionally simplified individual-based model of wealth generation among entrepreneurs to assess the role of chance and determinism in the distribution of wealth. We demonstrate that chance alone, combined with the deterministic effects of compounding returns, can lead to unlimited concentration of wealth, such that the percentage of all wealth owned by a few entrepreneurs eventually approaches 100%. Specifically, concentration of wealth results when the rate of return on investment varies by entrepreneur and by time. This result is robust to inclusion of realities such as differing skill among entrepreneurs. The most likely overall growth rate of the economy decreases as businesses become less diverse, suggesting that high concentrations of wealth may adversely affect a countrys economic growth. We show that a tax on large inherited fortunes, applied to a small portion of the most fortunate in the population, can efficiently arrest the concentration of wealth at intermediate levels.


Epidemics | 2013

Modeling of bovine spongiform encephalopathy in a two-species feedback loop

Richard Barnes; Clarence L. Lehman

Bovine spongiform encephalopathy, otherwise known as mad cow disease, can spread when an individual cow consumes feed containing the infected tissues of another individual, forming a one-species feedback loop. Such feedback is the primary means of transmission for BSE during epidemic conditions. Following outbreaks in the European Union and elsewhere, many governments enacted legislation designed to limit the spread of such diseases via elimination or reduction of one-species feedback loops in agricultural systems. However, two-species feedback loops-those in which infectious material from one-species is consumed by a secondary species whose tissue is then consumed by the first species-were not universally prohibited and have not been studied before. Here we present a basic ecological disease model which examines the rôle feedback loops may play in the spread of BSE and related diseases. Our model shows that there are critical thresholds between the infections expansion and decrease related to the lifespan of the hosts, the growth rate of the prions, and the amount of prions circulating between hosts. The ecological disease dynamics can be intrinsically oscillatory, having outbreaks as well as refractory periods which can make it appear that the disease is under control while it is still increasing. We show that non-susceptible species that have been intentionally inserted into a feedback loop to stop the spread of disease do not, strictly by themselves, guarantee its control, though they may give that appearance by increasing the refractory period of an epidemics oscillations. We suggest ways in which age-related dynamics and cross-species coupling should be considered in continuing evaluations aimed at maintaining a safe food supply.


Encyclopedia of Biodiversity (Second Edition) | 2013

Stability, Concept of

Clarence L. Lehman

Stability may be defined broadly as the tendency of a system to return to its former state after some disturbance. In the natural world, the term can be applied to the capacity of an ecosystem to resist environmental disturbances. Given the fact that human activity now produces such disturbances on a vast global scale, the ability of ecosystems to remain stable has become an issue of great significance. Current investigators study the interrelationship of stability and biodiversity; i.e., the effect that the biodiversity of an ecosystem has on its stability, and the corresponding role of stability in maintaining the biodiversity of the system.


Nature | 1994

Habitat destruction and the extinction debt

David Tilman; Robert M. May; Clarence L. Lehman; Martin A. Nowak


Ecology | 1998

Biological Invasions: Theory and Practice

Johannes M. H. Knops; Clarence L. Lehman; Nanako Shigesada; Kohkichi Kawasaki

Collaboration


Dive into the Clarence L. Lehman's collaboration.

Top Co-Authors

Avatar

David Tilman

University of Minnesota

View shared research outputs
Top Co-Authors

Avatar

Johannes M. H. Knops

University of Nebraska–Lincoln

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chengjun Yin

University of Minnesota

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge