Kai Zhu is a former PhD student in the lab. The Ecological Society of America’s recognition is “based on his blending of classical ecological theories with modern computational tools to study global issues like climate change.” Read more.
Maggie for her research on drought impacts on wildlife in Kruger National Park and Renata for her urban forestry research. Of 2000 awards nationally this year, Renata and Maggie were among 18 fellowships awarded to Duke students. Announcement here.
Maggie Swift: “An analysis of an African savanna community’s resilience to changing climate, water distribution, and management practices.”
Renata Poulton Kamakura: “Tree species growth and diversity in city forests and the implications for urban biodiversity conservation“
The Editor’s Highlights selected the first MASTIF (Masting Inference and Forecasting) publication for this week’s recognition. The paper is here.
Additional coverage is here.
Coverage focus on Gilbert and Zhu’s coast redwood site is here.
The NatureNet Science Fellowship comes with salary, benefits, travel, and research funds. It will support Renata’s research on managing urban environments with rapid climate change.
The composition and structure of twenty-first century forests will depend on the seed production needed for tree populations to keep pace with climate change… [read more]
Greenwire: Climate change altering how trees produce seeds
Climate feedbacks drive east-west divide in forest seed production
This year, local birdwatchers are pleased to find that more northern birds are making their way farther south to make North Carolina their winter home… Lane Scher on evening grosbeaks in Durham
We teamed up with Roland Kays at North Carolina State University to generate a youtube channel for the data used in our biodiversity analysis. Each is a field demonstration by a different student or postdoc in the lab. These videos are being linked to the iNaturalist mastif project (Masting Inference and Forecasting) and vignettes that can be used for class. The video channel is here.
Supported by the National Science Foundation grant DEB-1754443
A collaborative effort centered in the Clark lab at Duke University is recruiting a Postdoctoral Associate in quantitative microbial dynamics. The position is funded by the National Science Foundation to evaluate the direct and indirect effects of environmental change on microbial dynamics. The goals of the study… [read more]
We are delighted to announce the winners of the 2019 New Phytologist Tansley Medal for Excellence in Plant Science, read more…
Predicting how ecological communities respond to change requires an understanding of the direct effects of environment and the indirect effects that emerge when environment is propagated through food webs of interacting species. A probabilistic framework for these environment–species interactions can guide management that has to weigh the utility of efforts to protect critical habitat (or not) against the risk for species that respond through the responses of others. [read more]
Clark, J. S., C. L. Scher, and M. Swift. 2020. The emergent interactions that govern biodiversity change. Proceedings of the National Academy of Sciences, 202003852, https://doi.org/10.1073/pnas.2003852117. clarkPNAS2003852117.full
In September 2016, over 375 members of the U.S. National Academy of Sciences (NAS) signed an Open Letter calling attention to the dangers of human-induced climate change. The letter warned that U.S. withdrawal from the Paris climate accord would have negative consequences for the world’s climate system and for U.S. leadership and credibility. more…
The Yellow-billed Cuckoo has soft brown wings, a white belly, a long tail with black and white spots, and is running out of places to live. The cuckoo’s population in its native breeding range in the eastern United States has declined in recent decades due to urbanization, heat waves and other factors. Climate change will likely further reduce its suitable habitat. [read more…]
Mary Lou Williams Center for Black Culture, Duke University
Graduate Student of the Year: honored for their outstanding work in specific Graduate/Professional Schools and for their commitment to Black communities and Black scholarship.
Zaire McPhearson (MFA, Graduate School)
Kirsten Simmons (Medical & Divinity School)
Jakaela Davis (Divinity School)
Nathaniel S. Neptune (Medical School)
Dionna Gamble (Medical School)
Nicholas Hastings (Medical School)
Jewel Scott (School of Nursing)
Morine Cebert (School of Nursing)
Renata Poulton Kamakura (Nicholas School)
Danielle Bembry (Law School)
Graduate & Professional “Willing and Abele” Student of the Year goes to a graduate student that has demonstrated an intangible quality which uplifts the Black community and is engaged in various leadership and/or civic activities on campus or in the Durham community. This individual demonstrates vision, dedication, academic excellence and has excelled at communicating and motivating others to rally around their cause. This student of the year will have made a continuous and inspiring impact and will be held in high regard by his or her peers.
Chavis Jones, (Law School)
Morine Cebert (School of Nursing)
Jewel Scott (School of Nursing)
Renata Poulton Kamakura (Nicholas School of the Environment)
Rheaya Willis (School of Medicine)
Gwenaelle Thomas (Neurobiology)
Kirsten Simmons (School of Medicine)
For his project quantifying the effects of climate variation on tree fecundity in the Alps, Ethan Ready has been awarded Graduation with Distinction in the Environmental Science major.
Rising temperatures with increased drought pose two challenges for management of future biodiversity. First, are the most vulnerable species concentrated in specific regions and habitats? Second, where can landscape heterogeneity potentially mitigate impacts? We conducted a comprehensive trait analysis of forest plots spanning the eastern United States to quantify how resource‐acquisitive species respond to moisture‐soil‐climate interactions. We found that resource‐acquisitive species, including nutrient‐acquisitive and moisture‐acquisitive species, respond disproportionately to environmental gradients, and their response is largely explained by soil variation. We showed that the strong boundary of resource‐acquisitive species occurs near the last glacial limit, highlighting one of the clearest indicators of soil controls. Although local soil moisture may reduce drought‐induced stress for moisture‐acquisitive species, nutrient‐acquisitive species remain vulnerable on wet soils in dry climates. The results suggest that theories explaining species distributions should devote close attention to the combination of local drainage and soil type. [read more]
Becky Tang is the recipient of a NSF-GRFP 2020 award, read more…
ESA Selects 2020 Katherine S. McCarter Graduate Student Policy Award Recipients
The Ecological Society of America (ESA) is honored to announce this year’s Katherine S. McCarter Graduate Student Policy Award (GSPA) recipients. This award provides graduate students with the opportunity to receive policy and communication training in Washington, DC before they meet lawmakers.
ESA selected twelve students to receive the award: Tiffany L. Betras (University of Pittsburgh), Callie R. Chappell(Stanford University), Claire E. Couch (Oregon State University), Ayo Andra J. Deas (The Graduate Center, City University of New York), Ed Higgins (University of Oklahoma), Renata Poulton Kamakura (Duke University), Alexander K. Killion (University of Michigan), Mayda Nathan (University of Maryland), Vasavi Prakash (Auburn University), Natali R. Ramirez-Bullon (Florida State University), Bradley A. Strickland (Florida International University) and Harrison R. Watson (Princeton University).
here are abstracts submitted by the lab to the 2020 annual meeting of the Ecological Society of America;
Background/Question/Methods Observational studies have not yet shown that environmental variables can explain pervasive non-linear patterns of species abundance, because those patterns could result from (indirect) interactions with other species (e.g., competition), and models only estimate direct responses. We developed a bio-physical approach to quantify the environment-species interactions (ESI) that govern community change. By embedding dynamic ESI within a time-series framework that admits data for species gathered on different scales, we quantify responses that are induced indirectly through ESI. A hierarchical framework provides probabilistic uncertainty in parameters, model specification, and data. Simulation demonstrates that effects of environment on movement, population growth, and species interactions are needed for accurate interpretation. Applications include published data sets on lake food webs and the breeding bird survey (BBS). For NEON ground beetles, small mammals, and bird data we integrate remote sensing, including lidar and hyperspectral data from the airborne observation platform.
Results/Conclusions Analytical analysis demonstrates how non-linear responses arise even when all direct species responses to environment are linear. Applications to experimental lakes and BBS yield contrasting estimates of ESI. In closed lakes, interactions involving phytoplankton and their zooplankton grazers play a large role. By contrast, ESI are weak in BBS, as expected where year-to-year movement degrades the link between local population growth and previous species abundances. In both cases, non-linear responses are induced by interactions between species. Stability analysis shows stability in the closed-system lakes and instability in BBS. NEON analysis is underway to evaluate how canopy condition and habitat structure mediate food web interactions. The probabilistic framework also has direct application to conservation planning that must weigh risk assessments for entire habitats and communities against competing interests.
Background/Question/Methods Understanding how biodiversity is changing requires a capacity to combine information from different sources. Opportunistic citizen science observations are an increasingly important source of data for continent-scale studies of global change and biodiversity. eBird is one of the most successful and popular citizen scientist projects, with over 100 million birds recorded each year by users with varying degrees of experience and species identification skills. By contrast, the Breeding Bird Survey (BBS) is systematic, completed annually at the same times and locations, and is conducted by trained personnel. To determine if these data sources could be integrated, we quantified the differences between them. We compared eBird observations to the more rigorously collected BBS records for 300 species by aggregating eBird checklists spatially near (within 40 km of) BBS routes and at the same time of year. First, we fitted the bird count data from both sources with environmental covariates using a Generalized Joint Attribute Model (GJAM), with data source as a factor covariate and observation effort as observation minutes. The fitted coefficients for the source factor are hereafter termed the “eBird effect”. We then examined the difference between counts per effort from eBird records and from BBS records at each site (“residuals”), and determined the relationship between residuals and observation effort. We used species trait data to determine whether reporting biases might be anticipated from species traits.
Results/Conclusions We found that overall, eBird users underreport most species relative to BBS, but increased observation effort minimizes these effects. Of the 132 species with eBird effect estimates whose credible intervals did not cross zero, 91 (69%) were negative. These estimates were negatively correlated with commonness (R = -0.183), indicating that common species are most underreported. We also found that for 204 species (68%) the differences between the two data sources decreased with increased observation effort. This pattern was also influenced by commonness: there was a positive correlation between commonness and residual-effort relationship (R = 0.162), meaning that for more common species, increased effort of the eBird observation actually increased the difference between the two data sources. Overall, these results indicate that eBird data contain biases, these biases vary by species commonness, and some of these biases can be overcome with increased effort. Because eBird data are often used to evaluate species populations and develop management strategies, particularly for rare species, understanding these biases is crucial.
Background/Question/Methods The Kruger National Park (KNP) in northeast South Africa harbors a unique assemblage of Pleistocene megafauna, increasingly threatened by protracted drought. Managers are concerned that climate change has destabilized this diverse food web by reorganizing competition for surface water resources and shifting ranges. Such destabilization could appear as responses to vegetation and rainfall variation. In particular, locally rare antelope populations (tsessebe Damaliscus lunatus, eland Taurotragus oryx, sable Hippotragus niger, roan Hippotragus equinus) have plummeted over the past six decades, bringing about a decline in the biodiversity that is a cornerstone of tourism and ecosystem resilience. Management of a diverse, destabilized community necessitates an understanding of how species individually and collectively respond to their environment. Such communities susceptible to disturbance are a challenge for traditional species distribution models (SDMs), whose static data lose much of the information present in increasingly available long-term datasets. We utilize decades of census, vegetation, and climate data from the KNP in a dynamic generalized joint attribute model, GJAMTime, extending a traditional Lotka-Volterra framework to include density-independent growth and interspecific density dependence. Our assessment of how changing vegetation, surface water, and biotic interactions have influenced biodiversity in the KNP provides a framework for future adaptive management decisions.
Results/Conclusions Outputs consistent with prior knowledge of biotic and environmental interactions confirm that our model works well in predicting species distribution and behavior. Our model estimated similar responses to environmental variables for species known to respond similarly (i.e. blue wildebeest Connochaetes taurinus and plains zebra Equus quagga). The model attributes little variation in species abundance to movement, which is consistent with almost-full fencing around the park. We found that rare antelope distributions are mostly attributable to density-independent growth. Roan and eland have negative responses to temporal anomalies in grass biomass, and roan and tsessebe respond positively to nutrient-rich clay soils. Sable, however, responded positively to vegetation anomalies and negatively to clays, which suggests an affinity for conditions not shared by the other three. We find that climate change does affect this savanna community, but that consequences for rare antelope are not uniform, indicating a need for more targeted, adaptive management practices.
Background/Question/Methods Global forest diebacks are the beginnings of change that will be controlled by tree migration, which combines two uncertain processes, tree fecundity and recruitment. Knowledge of how, and how fast, tree migration can proceed is critical for adaptive management of forest resources and conservation efforts. The initial stage of seed production is erratic and poorly observed, with most studies limited to few trees of few species on few sites. At the next stage, tree recruitment is typically too sporadic to characterize at landscape scales. Neither seed production nor seedling recruitment have been quantified or linked to climate and habitat variables at scales needed to evaluate the changes happening now or to anticipate the diversity and structure of 21st century forests. As part of the masting inference and forecasting (MASTIF) project, we synthesized continental-scale data for tree fecundity gathered over the last half century and combined it with forest inventories to connect adult trees (basal area) to i) fecundity (seeds per basal area) and ii) recruitment (recruits per seed). A dynamic model fitted to > 107 tree years of fecundity data provided estimates tree-by-year fecundity. A predictive distribution for the continent combines the fitted model with > 105 trees from Forest Inventory Analysis (FIA), Canadian National Forest Inventory (CNFI) and the National Ecological Observatory Network (NEON).
Results/Conclusions Results show continent-wide tree migration as a balance between regional shifts in fecundity that can diverge from conditions that favour establishment, with clear differences in eastern and western North America. In moist eastern states, the geographic centers for fecundity are most commonly displaced south of tree basal area for the same species. This relationship would be expected if optimal conditions for seed production lie to the south of optimal conditions for growth and survival, despite potential benefits of warming poleward. In the dry west and north-central, fecundity is for most species displaced northwest of tree basal area, as would be expected if the high-rainfall NW is predisposed to lead migration as the continent warms. The east-west contrast diminishes at the transition from fecundity to recruits per seed, which tends to be shifted north in both regions. The net continent-wide migration by contrasting east-west controls highlight interactions, with fecundity primed to lead tree migration in the west, and fecundity slowing progress in the east. The possibility of fecundity limitation offers one explanation for migration lag in species expected to track climate warming by expanding poleward.
Background/Question/Methods: Forests can continue to deliver ecosystem services if tree fecundity keeps pace with 21st century climate change. Not only is fecundity unknown at the continental scale, but so too is its rate of change (ROC). Is seed production responding to climate change and, if so, how? At least two forces could be controlling trends in forest regeneration and the capacity to migrate, i) climate change, and ii) geographic variation in stand growth and structure. Effective management will depend on an understanding of both effects. For example, warming during vulnerable spring months might increase reproductive success. If fecundity is limited by thermal energy that coincides with moisture availability, then warming might benefit reproduction only in regions where moisture remains abundant. At the same time, indirect effects could dominate the response if changing growth moves stands into more or less fecund size classes. We combined an unprecedented synthesis of North American fecundity data from the masting inference and forecasting (MASTIF) collaboration with a novel dynamic bio-physical model to infer continental ROC in fecundity. The biophysical model captures the direct and indirect effects of climate change, including the interactions between them (e.g., size differences matter most in dry climates, or, moisture limitation is most important for small trees).
Results/Conclusions: Fecundity, discussed here as seeds/ha/yr, is highest in the midwest (MW) and west (W) owing to high seeds per basal area in the MW and high basal area of trees in the W. However, fecundity is increasing throughout most of the continent, with highest ROC in the north (N) and northwest (NW). Exceptions include parts of the south (S) and southwest (SW). The full effect of climate change is accelerating ROC in the MW and SW both directly and through effects on growth. Two processes are offsetting a positive effect of warming springs. First, a positive effect on growth moves stands into larger, less fecund size classes in western Canada, the Rockies, and much of the East. However, positive effects on growth do not transfer to increased ROC in much of the W and NE. Despite positive ROC throughout most of the continent, climate change is reducing ROC in the East and NW. Taken together, the full effect of climate change on ROC is primarily positive, despite negative indirect effects. We discuss the implications of species-level differences for migration potential and food web dynamics.
Dear Dr. Clark:
Congratulations on your most cited article in Global Change Biology (GCB)!
Your paper, The impacts of increasing drought on forest dynamics, structure, and biodiversity, was one of the top 25 most cited articles in 2019.
Although a relatively young journal, our Impact Factor has been growing steadily – our ISI Impact Factor was 8.88 in 2018 (ISI Journal Citation Reports). GCB’s 2018 ISI ranking is first in Biodiversity Conservation, fifth in Environmental Sciences, sixth in Ecology. This ranking is all the more impressive given that, unlike our competitors, we carry very few review articles- which tend to skew Impact Factors upwards.
Thank you once again for your contribution to GCB. We hope you will continue to consider GCB as an outlet for your best work and encourage others to do likewise.
With best wishes,
Yours truly,
Steve Long, Chief Editor and on behalf of the Editors of GCB