Chris Wei Ziyi is currently at the Hong Kong University International Conference of Undergraduate Research in Science. This conference brings together undergraduate researchers from around the world to share their ideas and meet professional scientists working at Hong Kong University. Chris presented a poster on his Honours thesis “Population modelling and projected control of invasive Javan Mynas in Singapore”, which led to stimulating discussions with fellow conference participants about urban bird invasions.
Ryan recently visited Victoria University of Wellington in New Zealand, where he met with researchers and delivered a seminar on our lab’s work on estimating rates of species extinctions. The seminar included both our work on historical Singapore extinctions and our work on extinctions due to fragmented habitat loss.
An aerial view of the University of Victoria campus (centre of image) with Wellington Harbour in the background. Image credit: http://www.victoria.ac.nz/
Sam successfully defended his PhD thesis this morning at Imperial College London in Silwood Park. Sam’s thesis deals with models of habitat fragmentation and species loss. Being jointly supervised by James Rosindell, of Imperial College, and Ryan, Sam has split his time over the past three and a half years between Imperial College and Singapore. Congratulations, Sam!
The relationship between species richness and productivity has been extensively studied in ecology. However, despite decades of empirical and theoretical research, it remains unclear how the relationship changes with the spatial scale of observation. A new theoretical study led by Tak and published in Theoretical Ecology sheds some light on this question by showing how, even in a neutral model, increasing the spatial scale results in non-trivial changes to the richness–productivity relationship.
The study analyses a neutral model representing a local community of species populations competing for finite resources. We derived a mathematical formula for the richness–productivity relationship in this model. The resulting curve has a unimodal shape, consistent with previous simulation-based studies. The rising part of the relationship is driven by a sampling effect—more individuals typically comprise a greater number of species (the “more-individuals effect“). The declining part of the relationship is driven by a greater proportion of the pool of propagules being of local origin, which dilutes species diversity arising from immigrant propagules (the “dilution effect“).
Our study’s main novel finding is that the peak of the unimodal richness–productivity relationship from the model shifts to the left as spatial scale increases. The underlying reason is that an increase in spatial scale results in a greater area-to-perimeter ratio, which increases the strength of the dilution effect relative to that of the more-individuals effect. Thus, the increasing phase of the richness–productivity relationship is predicted to be more prominent on smaller spatial scales, while the decreasing phase is predicted to be more prominent on larger scales. These findings can potentially account for some of the observed scale-dependence of richness–productivity relationships in nature.
Relationship between (expected) species richness and productivity from the model analysed, for a community with area 0.1 ha (left panel) and a community with area 1.6 ha (right panel). The peak of the unimodal relationship shifts to the left as the spatial scale increases. Image credit: CSIRO.
Fung, T., S. Xiao, R. A. Chisholm. Spatial scaling of species richness–productivity relationships for local communities: analytical results from a neutral model. Theoretical Ecology (in press)
All species populations are subjected to two broad classes of process: deterministic and stochastic. What are the relative contributions of these processes to the extinction risk of species populations? This is a fundamental question in ecology, and also a practical question for sustainable management and conservation. Some answers to this question are provided in our new theoretical study led by Tak and published in the journal Ecological Complexity.
We used a suite of population models to partition species extinction risk according to deterministic processes and two main types of stochastic process—demographic variance and temporal environmental variance. We found that if the intrinsic growth rate of a species population is moderately or far below zero, then deterministic processes are the dominant driver of species extinction risk, even when the population is small. This contradicts the intuition that demographic variance is always a dominant driver of species extinction risk for small populations. However, if the intrinsic growth rate of a species population is only slightly below zero, then stochastic processes are the dominant driver of species extinction risk, with demographic variance being the main driver for small populations and temporal environmental variance being the main driver for moderate to large populations, consistent with established theory. A surprising finding was that the effects of environmental and demographic variance on extinction times were sub-additive, i.e., the influence of the two combined was substantially less than the sum of their influences in isolation.
Mean time to extinction for species populations with different initial abundances, under different combinations of deterministic and stochastic processes. In panel (A), the intrinsic growth rate is far below zero, such that deterministic processes are the dominant driver of species extinction risk. In panel (B), the intrinsic growth rate is close to zero, such that stochastic processes are the dominant driver of species extinction risk.
Fung, T., J. P. O’Dwyer, R. A. Chisholm. Partitioning the effects of deterministic and stochastic processes on species extinction risk. Ecological Complexity 38:156–167
In a new study led by Lynette Loke, of Peter Todd’s lab, we explore the effects of habitat configuration on biodiversity in an experimental seawall system. It is a generally accepted ecological principle that a larger total area of habitat can support greater biodiversity; less certain is the effect of the spatial configuration of this habitat. This question is of general relevance for conservation in today’s increasingly fragmented landscapes. Although there has been much speculation on this topic, there have been few experimental studies at scales incorporating multiple discrete patches. Lynette sought to remedy this with her experimental system of concrete tiles placed on artificial seawalls (pictured below). The tiles can generally support more biodiversity than the unadorned seawalls and therefore constitute “habitat”. Colonising organisms include various species of snail, alga and polychaete worm.
We found that, as expected, seawalls with more tiles had higher biodiversity—the classic positive species–area result. More intriguingly, we found some evidence that biodiversity peaked at an intermediate level of tile clustering (e.g., middle panel below, where black=tile and white=no tile). We speculated that this could be because the relatively large inter-patch distances in the intermediate configuration make it hard for species to traverse the landscape, leading to greater differentiation in species composition in the separate patches over time.
Effects of habitat area and spatial configuration on biodiversity in an experimental intertidal community. Lynette H. L. Loke, Ryan A. Chisholm, Peter A. Todd. Ecology (in press)