bioRxiv ScienceSearch

bioRxiv · 10.1101/2020.01.06.895409

Ecological Relationships in the Serengeti National Park

Abstract

The use of camera traps in animal ecology has transformed the field by allowing a greater quantity of detailed observations with limited human interference. One of largest camera trap studies published to date is from the Serengeti National Park (SNP) in Tanzania, East Africa which deployed 225 camera traps and obtained over 1.2 million pictures. This paper will focus primarily on the top predator of the Serengeti, the lion, and how it affects and is affected by prey, subordinate predators and the dramatic shift in the seasons. I asked the following three questions to better understand species relationships in the SNP: 1) Do the seasons in the SNP have an effect on the RAB of lions? 2) Does the presence or absence of lions have an effect on the RAB of hyenas in the wet season? 3) Does the presence/absence of Thompson gazelles (Eudorcas thomsonii) and impalas (Aepyceros melampus) in the wet season have an effect on the RAB of lions? During the dry and wet season of 2012 in the SNP there did not appear to be a change in the relative abundance of lions (Fig. 1), nor did lion relative abundance affect hyenas. The lions might possibly alter their diet during the dry seasons to include non-migratory species and choose not to change their territory on a season to season basis. Based on these findings research should focus on how the lions adapt to the changes in prey abundance during the wet and dry season. This preliminary analysis of the ecological dynamics of lions and associated species in the SNP is intriguing and yet raises significantly more questions than it has answered. Additional research surrounding the effects of yearly migration on the lions home territory, diet, and species interactions should be investigated more thoroughly, to greater understand the ecological relationships in the SNP. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/895409v1_fig1.gif" ALT="Figure 1"> View larger version (12K): org.highwire.dtl.DTLVardef@1808f9corg.highwire.dtl.DTLVardef@15453beorg.highwire.dtl.DTLVardef@145e6ceorg.highwire.dtl.DTLVardef@341460_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO The relative abundance of lions in the dry and wet season in the Serengeti National Park observed by162 camera traps during 2012. Lion relative abundance (RAB) is given in units of the number of events in 100 trap nights. RAB values were determined by using motion censored cameras to identify the presence of a Lion and then disregarding all sightings for a 30-minute period following initial observation. This sighting/identification was referred to as an event. The total number of events for each camera was calculated and divided by the number of trap nights the camera was operational. The value was then multiplied by 100 to give the number of events per 100 trap nights. P-value > 0.05. C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Brownstein, K.. 2020-01-07. Ecological Relationships in the Serengeti National Park. https://doi.org/10.1101/2020.01.06.895409

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Beyond Single-Metric Assessments: Uncovering Masked Butterfly Declines via Multi-Scalar Analysis in Central Alberta

1. This study analyzed 21 years (2000-2025) of butterfly count data from Central Alberta, integrated with intensive 5-year (2021-2025) high-resolution intra-seasonal sampling. 2. Long-term macro-scale analysis revealed a significant decline in Shannon Diversity, a change that remained obscured when relying solely on traditional metrics of species richness and evenness. 3. This diversity decline was primarily driven by the severe, long-term collapse of the native Common Ringlet (Coenonympha tullia). 4. Four other dominant species--Cabbage White (Pieris rapae), Clouded Sulphur (Colias eriphyle), European Skipper (Thymelicus lineola), and Common Wood Nymph (Cercyonis pegala)--maintained long-term population stability, though their abundances were significantly constrained by extreme winter minimum temperatures and rapid spring warming. 5. High-resolution intra-seasonal analysis (2021-2025) demonstrated that community indices and species-specific abundances were strongly limited by daily weather, particularly wind velocity and temperature. 6. These findings illustrate that while traditional metrics like richness and evenness are fundamental to community ecology, they provide incomplete insights when applied in isolation; they are most effective when utilized as part of a complementary, multi-scalar framework. 7. This study highlights the necessity of coupling multi-decadal historical datasets with high-frequency, fine-scale sampling to accurately identify the mechanisms of community turnover that simpler metrics may overlook. 8. The results underscore the critical importance of standardized citizen science monitoring in quantifying environmental impacts and establishing conservation priorities for terrestrial insect groups.

ecology

From concentration to export: resource contrasts and bee traits shape pollinator spillover to crops

Floral plantings can either concentrate bees or export them to adjacent crops, yet the ecological conditions influencing these outcomes remain unclear. Here, we develop a mathematical model as proof of concept for our previous integrative hypothesis: concentrator and exporter outcomes can arise as alternative, context-dependent outcomes of the same underlying resource-selection process. Using bees as a model and focusing specifically on spillover from floral plantings to crops, we identified resource-specific thresholds separating concentration- and export-favoring conditions. Our model translates differences in relative patch attractiveness into context-dependent concentration and export outcomes and generates resource-specific, testable predictions about the conditions favoring pollinator movement into crops. In our simulations, the concentrator-exporter transition occurred at a lower flowering-intensity contrast than at pollen or nectar contrasts, which suggests that flowering intensity may provide an initial cue for bee movement, whereas nectar and pollen rewards refine or sustain bee responses once crops are perceived as attractive. Spillover thresholds differed among resource contrasts, whereas response steepness varied across bee-trait and community scenarios. Under the model's trait-sensitivity formulation, predicted spillover probability responded more strongly to flowering contrast for specialists than for generalists; colony size amplified this response, whereas bee richness dampened it. Together, these patterns show how flowering and resource contrasts interact with bee traits and community context to shape predicted spillover. Our results confirm that the concentrator and exporter hypotheses can be understood as context-dependent outcomes of the same ecological process rather than as mutually exclusive alternatives. Experimental tests of the predicted thresholds conducted in the field could reveal when and where floral plantings are most likely to promote bee spillover to crops, potentially supporting crop pollination.

ecology

A Computational Re-evaluation of Spatial Trials for Zoonotic Tuberculosis Control: Model Misspecification, Diagnostic Miss-classification, and the Illusion of Wildlife Culling Efficacy

1. Wildlife reservoir management frequently relies on the Randomised Badger Culling Trial's (RBCT) trade-off hypothesis, which posits that reductions in cattle herd infections are offset by a perturbation effect driven by disrupted host dispersal. This paper evaluates the computational and epidemiological robustness of this historical trial, which serves as the foundational empirical experiment guiding zoonotic tuberculosis (Mycobacterium bovis) control policies. 2. Using generalized linear mixed models with a generalized Poisson error distribution to explicitly address historical data overdispersion, this study contrasts traditional parametric inference against exact cluster-constrained permutation tests across distinct operational definitions of disease incidence. 3. Non-parametric diagnostics reveal that previously reported treatment and perturbation effects render as statistical artifacts under exact non-parametric permutation. Inside culling zones, parametric significance fails to withstand exact permutation verification due to extreme data leverage in localized cluster blocks. 4. Crucially, when diagnostic misclassification biases are eliminated by analysing total reactor datasets, all apparent culling effects disappear, and information criteria overwhelmingly favour nested null architectures. Unconfirmed reactors likely represent true biological infections missed by low-sensitivity post-mortem macro-necropsy, proving that host removal tracks observation noise rather than genuine zoonotic transmission pathways. 5. Finally, empirical scaling conducted in this study identifies a novel mathematical saturation effect, demonstrating that this sub-linear scaling is an operational artifact of unmodelled herd-level disease recurrence over time. 6. Policy implications. Because current zoonotic tuberculosis intervention frameworks are built upon a structurally misspecified statistical model, they have driven large-scale veterinary policies resulting in substantial, unevidenced ecological and economic interventions while failing to provide genuine public health, animal health, or disease control benefits.

ecology