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Dive into the research topics where Daniel E. Bunker is active.

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Featured researches published by Daniel E. Bunker.


Ecology | 2010

Functional traits and the growth?mortality trade-off in tropical trees

S. Joseph Wright; Kaoru Kitajima; Nathan J. B. Kraft; Peter B. Reich; Ian J. Wright; Daniel E. Bunker; Richard Condit; James W. Dalling; Stuart J. Davies; Sandra Díaz; Bettina M. J. Engelbrecht; Kyle E. Harms; Stephen P. Hubbell; Christian O. Marks; Maria C. Ruiz-Jaen; Cristina M. Salvador; Amy E. Zanne

A trade-off between growth and mortality rates characterizes tree species in closed canopy forests. This trade-off is maintained by inherent differences among species and spatial variation in light availability caused by canopy-opening disturbances. We evaluated conditions under which the trade-off is expressed and relationships with four key functional traits for 103 tree species from Barro Colorado Island, Panama. The trade-off is strongest for saplings for growth rates of the fastest growing individuals and mortality rates of the slowest growing individuals (r2 = 0.69), intermediate for saplings for average growth rates and overall mortality rates (r2 = 0.46), and much weaker for large trees (r2 < or = 0.10). This parallels likely levels of spatial variation in light availability, which is greatest for fast- vs. slow-growing saplings and least for large trees with foliage in the forest canopy. Inherent attributes of species contributing to the trade-off include abilities to disperse, acquire resources, grow rapidly, and tolerate shade and other stresses. There is growing interest in the possibility that functional traits might provide insight into such ecological differences and a growing consensus that seed mass (SM), leaf mass per area (LMA), wood density (WD), and maximum height (H(max)) are key traits among forest trees. Seed mass, LMA, WD, and H(max) are predicted to be small for light-demanding species with rapid growth and mortality and large for shade-tolerant species with slow growth and mortality. Six of these trait-demographic rate predictions were realized for saplings; however, with the exception of WD, the relationships were weak (r2 < 0.1 for three and r2 < 0.2 for five of the six remaining relationships). The four traits together explained 43-44% of interspecific variation in species positions on the growth-mortality trade-off; however, WD alone accounted for > 80% of the explained variation and, after WD was included, LMA and H(max) made insignificant contributions. Virtually the full range of values of SM, LMA, and H(max) occurred at all positions on the growth-mortality trade-off. Although WD provides a promising start, a successful trait-based ecology of tropical forest trees will require consideration of additional traits.


Science | 2005

Species Loss and Aboveground Carbon Storage in a Tropical Forest

Daniel E. Bunker; Fabrice DeClerck; Jason C. Bradford; Robert K. Colwell; Ivette Perfecto; Oliver L. Phillips; Mahesh Sankaran; Shahid Naeem

Tropical forest biodiversity is declining, but the resulting effects on key ecosystem services, such as carbon storage and sequestration, remain unknown. We assessed the influence of the loss of tropical tree species on carbon storage by simulating 18 possible extinction scenarios within a well-studied 50-hectare tropical forest plot in Panama, which contains 227 tree species. Among extinction scenarios, aboveground carbon stocks varied by more than 600%, and biological insurance varied by more than 400%. These results indicate that future carbon storage in tropical forests will be influenced strongly by future species composition.


Science | 2010

Ecosystem Services for 2020

Charles Perrings; Shahid Naeem; Farshid S. Ahrestani; Daniel E. Bunker; P. Burkill; Graciela Canziani; Thomas Elmqvist; R. Ferrati; Jed A. Fuhrman; Fabian M. Jaksic; Zen’ichiro Kawabata; Ann P. Kinzig; Georgina M. Mace; F. Milano; Harold A. Mooney; A-H Prieur-Richard; John Tschirhart; Wolfgang W. Weisser

The Convention on Biological Diversitys 2020 targets are an improvement over the 2010 target, but they could be strengthened. The vast majority of nations have fallen far short of the Convention on Biological Diversitys (CBDs) 2010 target: to reduce the rate of loss of biodiversity (1, 2). This prompted the CBD to develop a new plan of action, supported by 20 “SMART” (specific, measurable, ambitious, realistic, and time-bound) targets for 2020 (3, 4). As the 10th Conference of the Parties (COP) of the CBD meets in Nagoya, Japan, to negotiate both plan and targets, it is critical that targets also be grounded in the real interests that people have in benefits provided by biodiversity. To evaluate targets on this basis, we use the ecosystem services framework developed by the Millennium Ecosystem Assessment (MA) (5). This framework balances resource conservation and use according to how societies value consumptive (e.g., food and fuel) and nonconsumptive (e.g., health and aesthetics) services provided by ecosystems.


Frontiers in Ecology and the Environment | 2011

Ecosystem services, targets, and indicators for the conservation and sustainable use of biodiversity

Charles Perrings; Shahid Naeem; Farshid S. Ahrestani; Daniel E. Bunker; P. Burkill; Graciela Canziani; Thomas Elmqvist; Jed A. Fuhrman; Fabian M. Jaksic; Zen’ichiro Kawabata; Ann P. Kinzig; Georgina M. Mace; Harold A. Mooney; Anne-Hélène Prieur-Richard; John Tschirhart; Wolfgang W. Weisser

After the collective failure to achieve the Convention on Biological Diversitys (CBDs) 2010 target to substantially reduce biodiversity losses, the CBD adopted a plan composed of five strategic goals and 20 “SMART” (Specific, Measurable, Ambitious, Realistic, and Time-bound) targets, to be achieved by 2020. Here, an interdisciplinary group of scientists from DIVERSITAS – an international program that focuses on biodiversity science – evaluates these targets and considers the implications of an ecosystem-services-based approach for their implementation. We describe the functional differences between the targets corresponding to distinct strategic goals and identify the interdependency between targets. We then discuss the implications for supporting research and target indicators, and make several specific suggestions for target implementation.


Geology | 1997

Tree-ring evidence for an A.D. 1700 Cascadia earthquake in Washington and northern Oregon

Gordon C. Jacoby; Daniel E. Bunker; Boyd E. Benson

Geologic evidence and radiocarbon dating indicate that a subduction earthquake, or series of earthquakes, occurred about 300 yr ago along the Pacific Northwest coast of the United States. Some radiocarbon dates come from remnants of the myriad trees drowned by coincident subsidence. At several coastal lowland locations in Washington and northern Oregon, we located two or more trees that survived partial submergence and lived to the 1990s. Many of them were damaged by shaking and/or inundation. Some survivors recorded the event(s) by anomalous changes in ring width or anatomy of their annual rings. The disturbance initiating the changes can be dated to between the growing seasons of A.D. 1699 and 1700. One killed tree has a last ring of A.D. 1699. Tree-ring dated evidence of disturbance extends along about 100 km of coastal Washington and northern Oregon. These results support the inference that a great (M w~8) earthquake or larger at the Cascadia subduction zone generated the historical tsunami that struck Japan in January 1700.


Arthropod-plant Interactions | 2008

Evaluating the post-release efficacy of invasive plant biocontrol by insects: a comprehensive approach

Walter P. Carson; Stephen M. Hovick; Anthony J. Baumert; Daniel E. Bunker; Thomas H. Pendergast

We propose a comprehensive program to evaluate the post-release phase of biocontrol programs that use insect herbivores to control invasive plant species. We argue that any release should be done in randomized release and non-release sites and should be followed up by well-replicated sampling and experimental protocols that evaluate the degree of success or failure. These follow-up studies should include landscape scale monitoring across relevant habitat gradients of (1) the abundance of the biocontrol agent, (2) the impact of the biocontrol agent on the target plant species, (3) the potential for non-target effects, and (4) the response of native species and communities to a reduction in the invasive species. We also argue that (5) experimental reductions of the biocontrol agent are required to eliminate the chance that the putative impact of the biocontrol agent is not confounded with other causes. Finally, we describe six scenarios, informed largely by a community ecology perspective, in which a biocontrol agent may decrease the abundance or vigor of the target plant species but not lead to successful control where native communities re-establish. We classify these failure scenarios as either direct or indirect effects of the invasive plant species: Native Source Limitation, Static Competitive Hierarchies, Novel Weapons, Trophic Shifts, Invasive Engineering and Associated Invasives. Overall, we argue that well replicated and landscape-scale post release monitoring programs are required not only to evaluate critically the degree of success and failure of biocontrol programs worldwide but also to provide insights into improving future biocontrol efforts.


Ecology and Evolution | 2014

The importance of rare species: a trait-based assessment of rare species contributions to functional diversity and possible ecosystem function in tall-grass prairies

Meha Jain; Dan F. B. Flynn; Case M. Prager; Georgia M. Hart; Caroline DeVan; Farshid S. Ahrestani; Matthew I. Palmer; Daniel E. Bunker; Johannes M. H. Knops; Claire Jouseau; Shahid Naeem

The majority of species in ecosystems are rare, but the ecosystem consequences of losing rare species are poorly known. To understand how rare species may influence ecosystem functioning, this study quantifies the contribution of species based on their relative level of rarity to community functional diversity using a trait-based approach. Given that rarity can be defined in several different ways, we use four different definitions of rarity: abundance (mean and maximum), geographic range, and habitat specificity. We find that rarer species contribute to functional diversity when rarity is defined by maximum abundance, geographic range, and habitat specificity. However, rarer species are functionally redundant when rarity is defined by mean abundance. Furthermore, when using abundance-weighted analyses, we find that rare species typically contribute significantly less to functional diversity than common species due to their low abundances. These results suggest that rare species have the potential to play an important role in ecosystem functioning, either by offering novel contributions to functional diversity or via functional redundancy depending on how rare species are defined. Yet, these contributions are likely to be greatest if the abundance of rare species increases due to environmental change. We argue that given the paucity of data on rare species, understanding the contribution of rare species to community functional diversity is an important first step to understanding the potential role of rare species in ecosystem functioning.


Journal of Ecology | 2017

Towards a thesaurus of plant characteristics: an ecological contribution

Eric Garnier; Ulrike Stahl; Marie Angélique Laporte; Jens Kattge; Isabelle Mougenot; Ingolf Kühn; Baptiste Laporte; Bernard Amiaud; Farshid S. Ahrestani; Gerhard Bönisch; Daniel E. Bunker; J. Hans C. Cornelissen; Sandra Díaz; Brian J. Enquist; Sophie Gachet; Pedro Jaureguiberry; Michael Kleyer; Sandra Lavorel; Lutz Maicher; Natalia Pérez-Harguindeguy; Hendrik Poorter; Mark Schildhauer; Bill Shipley; Cyrille Violle; Evan Weiher; Christian Wirth; Ian J. Wright; Stefan Klotz

Ecological research produces a tremendous amount of data, but the diversity in scales and topics covered and the ways in which studies are carried out result in large numbers of small, idiosyncratic data sets using heterogeneous terminologies. Such heterogeneity can be attributed, in part, to a lack of standards for acquiring, organizing and describing data. Here, we propose a terminological resource, a Thesaurus Of Plant characteristics (TOP), whose aim is to harmonize and formalize concepts for plant characteristics widely used in ecology. TOP concentrates on two types of plant characteristics: traits and environmental associations. It builds on previous initiatives for several aspects: (i) characteristics are designed following the entity-quality (EQ) model (a characteristic is modelled as the ‘Quality’ of an ‘Entity’ ) used in the context of Open Biological Ontologies; (ii) whenever possible, the Entities and Qualities are taken from existing terminology standards, mainly the Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) ontologies; and (iii) whenever a characteristic already has a definition, if appropriate, it is reused and referenced. The development of TOP, which complies with semantic web principles, was carried out through the involvement of experts from both the ecology and the semantics research communities. Regular updates of TOP are planned, based on community feedback and involvement. TOP provides names, definitions, units, synonyms and related terms for about 850 plant characteristics. TOP is available online (www.top-thesaurus.org), and can be browsed using an alphabetical list of characteristics, a hierarchical tree of characteristics, a faceted and a free-text search, and through an Application Programming Interface. Synthesis. Harmonizing definitions of concepts, as proposed by TOP, forms the basis for better integration of data across heterogeneous data sets and terminologies, thereby increasing the potential for data reuse. It also allows enhanced scientific synthesis. TOP therefore has the potential to improve research and communication not only within the field of ecology, but also in related fields with interest in plant functioning and distribution.


PeerJ | 2015

Emerging semantics to link phenotype and environment

Anne E. Thessen; Daniel E. Bunker; Pier Luigi Buttigieg; Laurel Cooper; Wasila M. Dahdul; Sami Domisch; Nico M. Franz; Pankaj Jaiswal; Carolyn J. Lawrence-Dill; Peter E. Midford; Christopher J. Mungall; Martín J. Ramírez; Chelsea D. Specht; Lars Vogt; Rutger A. Vos; Ramona L. Walls; Jeffrey W. White; Guanyang Zhang; Andrew R. Deans; Eva Huala; Suzanna E. Lewis; Paula M. Mabee

Understanding the interplay between environmental conditions and phenotypes is a fundamental goal of biology. Unfortunately, data that include observations on phenotype and environment are highly heterogeneous and thus difficult to find and integrate. One approach that is likely to improve the status quo involves the use of ontologies to standardize and link data about phenotypes and environments. Specifying and linking data through ontologies will allow researchers to increase the scope and flexibility of large-scale analyses aided by modern computing methods. Investments in this area would advance diverse fields such as ecology, phylogenetics, and conservation biology. While several biological ontologies are well-developed, using them to link phenotypes and environments is rare because of gaps in ontological coverage and limits to interoperability among ontologies and disciplines. In this manuscript, we present (1) use cases from diverse disciplines to illustrate questions that could be answered more efficiently using a robust linkage between phenotypes and environments, (2) two proof-of-concept analyses that show the value of linking phenotypes to environments in fishes and amphibians, and (3) two proposed example data models for linking phenotypes and environments using the extensible observation ontology (OBOE) and the Biological Collections Ontology (BCO); these provide a starting point for the development of a data model linking phenotypes and environments.


Archive | 2009

Biodiversity, Ecosystem Functioning, and Human Wellbeing: An Ecological and Economic Perspective

Shahid Naeem; Daniel E. Bunker; Andy Hector; Michel Loreau; Charles Perrings

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Naga Musunuri

New Jersey Institute of Technology

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Pushpendra Singh

New Jersey Institute of Technology

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Ann P. Kinzig

Arizona State University

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Ian S. Fischer

New Jersey Institute of Technology

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