Accumulated Degree Days Research Articles

Accuracy of estimating postmortem interval using the relationship between total body score and accumulated degree-days: a systematic review and meta-analysis.

This study aims to evaluate the relationship between Total Body Score (TBS) and Accumulated Degree-Days (ADD) for estimating postmortem interval (PMI) using the decomposition quantification system by Megyesi et al. (Megyesi MS, Nawrocki SP, Haskell NH (2005) Using Accumulated Degree-Days to Estimate the Postmortem Interval from Decomposed Human Remains. J Forensic Sci 50:1-9. https://doi.org/10.1520/jfs2004017 ). A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The methodological quality and risk of bias were assessed using the QUADAS-2 scoring system. Statical tests, including I2 for heterogeneity assessment and subgroup analysis comparing human and pig proxies across different decomposition stages, were performed for meta-analysis. The search identified 25 studies that underwent qualitative evaluation, all of which were included for quantitative analysis. The findings indicate that the TBS formula tends to overestimate ADD with a moderate mean difference of 0.5758 overall. Specifically, in pigs, ADD is overestimated significantly (1.1128), while there is a slight underestimation in humans (-0.0038). Across decomposition stages, fresh body (0.0066) and early decomposition (0.0338) show an insignificant overestimation, whereas advanced decomposition reveals a slight underestimation (-0.3378) and skeletonization indicates a substantial overestimation (1.6583). The relationship between TBS and ADD demonstrates high accuracy in humans during early decomposition stages, without differences in statistical significance. However, its accuracy diminishes as decomposition progresses, potentially leading to an overestimation of PMI.

Validation of degree day threshold for Delia platura first emergence in New York State

Seedcorn maggot (Delia platura) is a globally distributed agricultural pest that feeds on the germinating seeds of economically important crops, including corn and beans. The larvae cause underground damage, which can lead to stand loss. For decades, D. platura has been managed using insecticide-coated seeds, but following the ban on neonicotinoid-coated corn, soy, and wheat seeds in New York State, this practice will no longer be available. Degree day models have been used to predict the emergence of the overwintering generation of agricultural pests since the late 1900s. However, the terminology used in the literature to distinguish degree day thresholds for first emergence and peak emergence is unclear, and previous reports of a 360 degree day emergence threshold did not align with field observations. In 2023, we captured the first emergence at four sites, and in 2024, we monitored adult D. platura at 25 sites in New York State. We observed the first adult emergence between 52 and 197 accumulated degree days (98 ± 7 degree days, mean ± 1 SE) using a biofix of January 1st, confirming that in New York State, D. platura emergence is earlier than previously reported values. Additionally, we note adult activity during December 2023 and January 2024, suggesting that warming winters may impact our ability to predict pest emergence. We propose future models should incorporate both degree day information and other regionally specific factors known to impact pests, including farm management, soil conditions, and landscape composition, for more accurate predictions.

The application of GIS technology in building a multivariate taphonomic profile for improving PMI estimations in Greece.

Environmental conditions highly affect decomposition rates and therefore a forensic practitioner should consider context-specific information when estimating the post mortem interval (PMI). Traditional methods of collecting environmental data, however, are time-consuming and often impractical for large-scale studies or routine forensic investigations. This study developed an automated computer method by employing the technology of geographic information systems (GIS) and Python programming language to provide contextual information for bodies found outdoors in Greece. The generated coding script underwent testing on 95 bodies in various stages of decomposition, which were examined between the years 1999 and 2022 at the National and Kapodistrian University of Athens and the Forensic Medical Service of Thessaloniki. Using ArcGIS Pro software and publicly available online data, a multilayer map was developed. Individual layers included high-resolution aerial images and data on the European Nature Information System ecosystem type, the Köppen-Geiger climatic type, the population density, the elevation, and the slope. Additionally, 99 national weather stations and their corresponding meteorological data were integrated. By leveraging the geographical coordinates of the recovery site of each case and information about the decedent's disappearance and recovery dates, this script automatically generates details from each of the above layers. Additionally, it calculates the accumulated degree days (ADD) and accumulated humidity days (AHD) values by extracting data from the nearest weather station. The GIS-based approach enables rapid, objective, and reproducible taphonomic profile construction, which can greatly improve the reliability of PMI estimations. By utilizing this method, forensic practitioners can accurately evaluate environmental effects on decomposition, thus standardizing taphonomic profiling globally.

Transient hypoxia drives soil microbial community dynamics and biogeochemistry during human decomposition.

Human decomposition in terrestrial ecosystems is a dynamic process creating localized hot spots of soil microbial activity. Longer-term (beyond a few months) impacts on decomposer microbial communities are poorly characterized and do not typically connect microbial communities to biogeochemistry, limiting our understanding of decomposer communities and their functions. We performed separate year-long human decomposition trials, one starting in spring, another in winter, integrating bacterial and fungal community structure and abundances with soil physicochemistry and biogeochemistry to identify key drivers of microbial community change. In both trials, soil acidification, elevated microbial respiration, and reduced soil oxygen concentrations occurred. Changes in soil oxygen concentrations were the primary driver of microbial succession and nitrogen transformation patterns, while fungal community diversity and abundance was related to soil pH. Relative abundance of facultative anaerobic taxa (Firmicutes and Saccharomycetes) increased during the period of reduced soil oxygen. The magnitude and timing of the decomposition responses were amplified during the spring trial relative to the winter, even when corrected for thermal inputs (accumulated degree days). Further, soil chemical parameters, microbial community structure, and fungal gene abundances remained altered at the end of 1 year, suggesting longer-term impacts on soil ecosystems beyond the initial pulse of decomposition products.

Performance of Artificial Diets for Zelus renardii (Hemiptera: Reduviidae) Rearing.

Mass production is a prerequisite for using natural enemies in integrated pest management and organic farming. Natural enemies in agroecosystems include predators that prey on insects, which they can subdue while maintaining adequate pest population densities. The Leafhopper Assassin Bug (LAB), Zelus renardii, can be a natural enemy in agroecosystems, selecting its prey for size and mobility. Some of LAB's prey include Philaenus spumarius (L.), Bactrocera oleae (Rossi), Drosophila suzukii (Matsumura), and Macrohomotoma gladiata Kuwayama, suggesting this reduviid for biocontrol agent in various contexts. We reared LABs for two subsequent broods offering living prey and artificial diets. Our data show that the rearing of Z. renardii is feasible with oligidic, meridic, and holidic artificial formulations. Four artificial diets allowed the complete post-embryonic development of LABs in captivity for two successive generations. The accumulated degree-days (ADDs) accurately predict the growth of LABs based on heat accumulation, estimating that up to three generations could grow per year in captivity at the experimented T°C.

Post Mortem Interval Calculation of Oryctolagus Cuniculus Through Forensic Entomofauna – A Tool for Resolving Medicolegal Issues in Crime Scenes

Post mortem interval (PMI) is an essential tool in crime scene investigations and is pivotal for resolving medicolegal issues. Developmental rates of insects can be utilized for the calculation of PMI of known and unknown animal and human cadavers. In the present study, PMI for rabbit, Oryctolagus cuniculus (Linnaeus 1758) was calculated through insect developmental rates and insect successional patterns on decomposing carcass of O. cuniculus. A total of 8 species of insects belonging to three orders and 8 families were identified on the O. cuniculus carcass. The blow fly, Chrysomya albiceps (Wiedemann 1819) belonging to the family Calliphoridae was the common and first visitor species to the rabbit carcass. The developmental rate of C. albiceps associated with the ambient climatic conditions was used as a model for the calculation of PMI. Temperature correction factor of the carcass temperature versus met station temperature was found as y = 0.9185x + 3.3624; R² = 0.8343. The accumulated degree days (∑ADD) were found as 535 while the accumulated degree hours (ADH) were found as 12842 with a resultant PMI of 7 days (ADD) and 167.4 h (ADH). Five decomposition stages of O. cuniculus were identified as fresh, bloated, active decay, advanced decay and dry remains stage. Findings of the present study can be applied for the calculation of PMI of known and unknown animal and human cadavers for resolving medicolegal issues in crime scenes.

The influence of rehydration on decomposition in the Highveld region of South Africa-Using a pig model.

Researchers have observed that rainfall may re-initiate decomposition in desiccated tissue; however, no conclusive research-based evidence exists on the specific effects of rehydration on decomposition. Therefore, this study aimed to assess the effects of artificial rehydration on the progression of decomposition following the advanced stage of decomposition. Twelve adult pig cadavers (8 experimental; 4 controls) were placed in the central Highveld of South Africa during cooler (April-July 2021) and warmer (August-November 2021) months. Decomposition was scored approximately biweekly to obtain the total body score, and accumulated degree days (ADD) were calculated for each pig. All pig cadavers were covered by chicken wire cages with transparent tarps to control for natural rehydration and scavenging. Once the experimental pig cadavers reached a three-visit stasis in the advanced phase of decomposition, they were artificially rehydrated, and changes in the progression of decomposition between the control and experimental groups were plotted (ADD against TBS) for observation. The rehydrated experimental pig cadavers showed re-initiation of decay and insect re-colonization, while the control cadavers mainly remained in a state of stasis with insect activity ceased altogether. Greater cadaver decomposition islands and a color change post-rehydration were also noted in some experimental cadavers. This supports the need for future research on the impact of rehydration, including associated soil moisture on decomposition rates, progression, and invertebrate colonization, which will enhance our understanding of the effects these environmental factors have on the accuracy of post-mortem interval estimation.

ANÁLISIS DEL CRECIMIENTO DE Carica papaya L. BAJO INFECCIÓN POR PRSV-P

<p><strong>Background.</strong> Papaya (<em>Carica papaya</em> L.) is cultivated in tropical and subtropical regions of the world for its nutritious and healthy fruits intended mainly for fresh consumption. Mexico was the world's leading papaya exporter in 2020 with 167,500 t. <em>C. papaya</em> is attacked by several viral diseases, the ring spot virus (PRSV-P) is the one that causes the most damage to the crop and the greatest production losses. <strong>Objective.</strong> To establish the phenology of a <em>Carica papaya</em> L. ‘Maradol Roja’ population infected with PRSV-P, to quantify its growth, and to relate its phenological steps with the accumulated degree days (DD). <strong>Methodology.</strong> The emissions of leaves, flower buds, flowers and fruits, apparent height of the plant, stem diameter and biomass were evaluated, based on the DD accumulated during the growth cycle. <strong>Results.</strong> The growth cycle is divided into nine phenological stages, where the leaf or flower bud formation requires ≈ 18 DD. In plants, the number of leaves is approximately equal to the number of flower buds. However, the number of ripe fruits is variable due to the adverse conditions that can occur throughout the growth period. To some extent, the roots typically present two growth peaks, although the available moisture in the soil could change this pattern. The apparent height of the plant and the stem diameter present a double sigmoid growth curve, with a maximum apparent height of 180 cm, and a diameter at the base of 11 cm. <strong>Implications.</strong> The infection by PRSV-P reduced the productivity and commercial quality of the fruits. <strong>Conclusions.</strong> PRSV-P infection reduced apparent height, stem diameter, number of leaves, flowers, and fruits, decrease in biomass gain, and shortened life cycle of plants.</p>

Feline Forensics: Revealing the Unique Decomposition of Cats.

Limited data about the differences between the decomposition of animals with fur exist within the forensic veterinary medicine discipline. Due to the sheer number of animals used as animal models and the number of animals that exist, determining stages of decomposition that are applicable for all species is difficult. Typically, assessing what stage of decomposition a decedent is in is subjective due to the visual assessment of decomposition changes. A method developed to rectify this issue was the total body score (TBS) method, which assigns a numerical value based on the degree of decomposition to the head, torso, and limbs. The purpose of this study was to examine the decomposition of cats, identify any unique decomposition characteristics, and determine the rate of decomposition using total body score and accumulated degree days (ADDs). Twelve domestic short-haired cats were placed in a grassy field in West Lafayette, IN. An assessment of TBS was documented for each cat and each experimental group. An exponential relationship between TBS and ADD was documented. Overall, there was not a significant difference in the rate of decomposition or total body scores between the groups (Z = -91.00, p = 0.0672).

Artificial neural networks optimize the establishment of a Brazilian germplasm core collection of winter squash (Cucurbita moschata D.)

With widespread cultivation, Cucurbita moschata stands out for the carotenoid content of its fruits such as β and α-carotene, components with pronounced provitamin A function and antioxidant activity. C. moschata seed oil has a high monounsaturated fatty acid content and vitamin E, constituting a lipid source of high chemical–nutritional quality. The present study evaluates the agronomic and chemical–nutritional aspects of 91 accessions of C. moschata kept at the BGH-UFV and propose the establishment of a core collection based on multivariate approaches and on the implementation of Artificial Neural Networks (ANNs). ANNs was more efficient in identifying similarity patterns and in organizing the distance between the genotypes in the groups. The averages and variances of traits in the CC formed using a 15% sampling of accessions, were closer to those of the complete collection, particularly for accumulated degree days for flowering, the mass of seeds per fruit, and seed and oil productivity. Establishing the 15% CC, based on the broad characterization of this germplasm, will be crucial to optimize the evaluation and use of promising accessions from this collection in C. moschata breeding programs, especially for traits of high chemical–nutritional importance such as the carotenoid content and the fatty acid profile.

Age Determination of Chrysomya megacephala Pupae through Reflectance and Machine Learning Analysis.

Estimating the age of pupa during the development time of the blow fly Chrysomya megacephala (Diptera: Calliphoridae) is of forensic significance as it assists in determining the time of colonization (TOC), which could help to determine the postmortem interval (PMI). However, establishing an objective, accurate, and efficient method for pupa age inference is still a leading matter of concern among forensic entomologists. In this study, we utilized hyperspectral imaging (HSI) technology to analyze the reflectance changes of pupa development under different temperatures (15 °C, 20 °C, 25 °C, and 30 °C). The spectrograms showed a downtrend under all temperatures. We used PCA to reduce the dimensionality of the spectral data, and then machine learning models (RF, SVR-RBF, SVR-POLY, XGBR, and Lasso) were built. RF, SVR with RBF kernel, and XGBR could show promise in accurate developmental time estimation using accumulated degree days. Among these, the XGBR model consistently exhibited the most minor errors, ranging between 3.9156 and 7.3951 (MAE). This study has identified the value of further refinement of HSI in forensic applications involving entomological specimens, and identified the considerable potential of HSI in forensic practice.

Modeling the Airborne Inoculum of Polystigma amygdalinum to Optimize Fungicide Programs Against Almond Red Leaf Blotch.

Red leaf blotch (RLB) of almond, caused by the ascomycete Polystigma amygdalinum, is a severe foliar disease endemic in the Mediterranean Basin and Middle East. Airborne ascospores of P. amygdalinum were monitored from 2019 to 2021 in two almond orchards in Lleida, Spain, and a Bayesian beta regression was used to model its seasonal dynamics. The selected model incorporated accumulated degree-days (ADD), ADD considering both vapor pressure deficit and rainfall as fixed effects, and a random effect for the year and location. The performance of the model was evaluated in 2022 to optimize RLB fungicide programs by comparing the use of model predictions and action thresholds with the standard program. Two variants were additionally considered in each program to set the frequency between applications, based on (i) a fixed frequency of 21 days or (ii) specific meteorological criteria (spraying within 7 days after rainfalls greater than 10 mm, with daily mean temperatures between 10 and 20°C, and with a minimum frequency of 21 days between applications). Programs were evaluated in terms of RLB incidence and number of applications. The program based on the model with periodic fungicide applications was similarly effective as the standard program, resulting only in a 2.6% higher RLB incidence but with fewer applications (three to four, compared with seven in the standard program). When setting the frequency between applications by using the meteorological criteria, a higher reduction in the number of applications (two to three) was observed, while RLB incidence increased by roughly 16% in both programs. Therefore, the model developed in this study may represent a valuable tool toward a more sustainable fungicide schedule for the control of almond RLB in northeast Spain.

PHENOLOGY AND HARVEST POINTS OF SNAP BEAN VARIETIES RELATED TO DEGREE DAYS ACCUMULATION

The objective of this study was to characterize the phenology and determine the harvest points of snap bean varieties related to degree-day accumulation. The experiments were conducted in the Teaching Garden of the Federal University of Ceará, evaluating five bean genotypes. A randomized block design with three and five replications was used for experiments 1 and 2, respectively. Each experimental unit consisted of a 9.6 m seedbed. In the first experiment, the spacing adopted was 0.1 x 0.4 m (24 plants per plot). For the second experiment, the spacing adopted was 0.1 x 0.3 m (32 plants per plot). Phenological characterization was carried out, estimating the thermal requirement and the pod growth curve. The evaluated genotypes presented thermal requirements ranging between 1,282 and 2,111 °C per day. The Habichuela genotype presented shorter cycle length, lower degree-day accumulation and higher initial pod growth compared to the others. It is recommended to harvest Feijão Vagem do Panamá (FVP), Habichuela and De Metro between the 10th and 15th day after fruiting. For Pronto Alívio and Quiura Bejuco, the harvest should be conducted at the 20th day after fruiting.

A preliminary study characterizing temporal changes in soil bacterial communities after dismembered bones were buried.

Determining the burial time of skeletal remains is one of the most important issues of forensic medicine. We speculated that the microbiome of gravesoil may be a promising method to infer burial time by virtue of time-dependent. As we know, forensic scientists have established various models to predict the postmortem interval of a decedent based on the changes in body and soil microbiome communities. However, limited data are available on the burial time prediction for bones, especially dismembered bones. In this exploratory study, we initially conducted 16S rRNA amplicon high-throughput sequencing on the burial soil of 10 porcine femurs within a 120-day period and analyzed the changes in soil microbial communities. Compared with the control soil, a higher Shannon index in the microbial diversity of burial soil containing bones was observed. Correlation analysis identified 61 time-related bacterial families and the best subset selection method obtained best subset, containing Thermomonosporaceae, Clostridiaceae, 0319-A21, and Oxalobacteraceae, which were used to construct a simplified multiple linear regression model with a mean absolute error (MAE) of 56.69 accumulated degree day (ADD). An additional random forest model was established based on indicators for the minimum cross-validation error of Thermomonosporaceae, Clostridiaceae, 0319-A21, Oxalobacteraceae, and Syntrophobacteraceae, with an MAE of 55.65 ADD. The produced empirical data in this pilot study provided the evidence of feasibility that the microbial successional changes of burial soil will predict the burial time of dismembered bones and may also expand the current knowledge of the effects of bone burial on soil bacterial communities.

Influence of carcass mass on decomposition rate: A medico‐legal entomology perspective

AbstractBody decomposition is influenced by various factors, including temperature, rainfall, body mass, and the activities of insects and carnivores in areas where carcasses are abandoned. However, the specific impact of carcass mass on the decomposition rate remains unclear. Therefore, this study aimed to compare the effects of carcass mass on decomposition rate with controlled domestic environmental conditions. Carcasses were categorized as small and large. Decomposition patterns were evaluated using a visual scatterplot to illustrate the relationship between total body scores and log accumulated degree days (ADD). To quantitatively compare decomposition rates, a linear regression model was employed to analyze differences between the two carcass groups. Regardless of carcass mass, a similar oviposition period for flies (Diptera) was observed, and the external appearance of the carcass remained relatively stable until 1.8 logADD, marking the emergence of maggots. However, decomposition dramatically accelerated after reaching 1.8 logADD, coinciding with maggots hatching from eggs and their commencement of scavenging. In contrast to larger ones, the hastened decomposition of small carcasses can be attributed to the relatively substantial volume of Diptera larvae within the small carcasses, expediting colonization and utilization. Therefore, carcass mass should factor into postmortem interval estimation based on the degree of body decomposition.

Ciclo fenológico e acúmulo térmico em genótipos de laranjeiras-doces no Sul do Brasil

Abstract The aim of this work was to study the phenology of several sweet orange cultivars and their relationship with the accumulated degree-day (ADD), under the conditions of the Depressão Central of Rio Grande do Sul, in Southern Brazil. For this, 25 genotypes were evaluated for three consecutive growing seasons between 2015 and 2018. The experiment was carried out in a Citrus Collection located in municipality of Eldorado do Sul, RS, Brazil. The ADD was calculated for each interval between the phenological stages, as well as for the entire cycle. The first one, swelling of the buds, was concentrated between mid-July and early August. Sprouting in winter increased the risk of frost damage. Full bloom occurred between August 28 and September 22, when the orange trees ‘Cabula’, ‘Rubi’, ‘Lima Verde’ and ‘Folha Murcha’ were the first to bloom and ‘Sanguinea’, ‘Salustiana’, ‘Midknight’ and ‘Jaffa’ the last. The last stage evaluated, the skin color change of the fruits, occurred between the beginning of April and the end of May, with 2,306.4 to 2,619.4 ADD, since the beginning of sprouting. The orange trees showed different behavior when compared between genotypes and between years. Two groups of cultivars were defined: early and late.

Estimativa das curvas de maturação de uvas ‘Cabernet Sauvignon’ na região noroeste do estado de São Paulo, Brasil

Abstract The objective of this work was to determine and evaluate the performance of regression models, to estimate the ripening curves of ‘Cabernet Sauvignon’ grape for the winter harvest in the northwestern region of the state of São Paulo, Brazil. ‘Cabernet Sauvignon’ plants were grafted onto the ‘IAC 766 Campinas’ rootstock. The ripening curves were fitted to linear, quadratic, power, logarithmic, and exponential regression models using 2017 data, while the performance of the models was evaluated using 2018 data. As a function of accumulated degree days, the quadratic model for soluble solid content allows to determine the ripening curve of ‘Cabernet Sauvignon’ grape in the studied region.

Reproductive phenology and the influence of temperature in two sympatric New Zealand freshwater mussel species

Context Phenology plays a key role in shaping population dynamics, community structure and evolutionary adaptations. For freshwater mussels that rely on a parasitic larval (glochidia) phase on fish, shifts in reproductive phenology driven by environmental conditions may result in mismatches between glochidia release and host fish availability. Aims We investigated intra- and interspecific reproductive timing variations in sympatric Echyridella aucklandica and E. menziesii, and identified thermal cues (accumulated degree days, ADD) associated with brooding and glochidia maturation. Methods Brooding activity and glochidia maturation were assessed fortnightly–monthly over 1 year within four New Zealand streams. Results The previously unknown phenology of E. aucklandica showed earlier brooding (May–July) and longer gravidity (9–11 months) than for E. menziesii (August; 6–7 months). Both species exhibited peak brooding in late austral spring–summer (November–December). ADD played a key role in regulating the timing of brooding onset in both species, as evidenced by the narrow ADD range observed across sites, and the relationship between ADD and brooding onset in both species. Conclusion The demonstrated link between ADD and reproductive phenology has broad implications in the context of climate change. Specifically, it raises concerns about potential timing mismatches in glochidia release and host-fish availability, which could affect the survival and reproductive success of freshwater mussels.

Temperature dependent development of black soldier fly, Hermetia illucens (L.) (Diptera: Stratiomyidae) from Yangtze River Delta region of China

The black soldier fly, Hermetia illucens (L.) (Diptera: Stratiomyidae), isomnivorous andwidely distributed in the world. Black soldier flies usually colonize corpse at a relatively late stage and have a longer developmental time compared to other flies. It can serve as a good supplementary indicator for estimating a longer minimum postmortem interval (PMImin) in forensic investigations. In this paper, the development of H. illucens was investigated at six constant temperatures between 19 and 34 °C. Under temperatures of 19, 22, 25, 28, 31, and 34 °C, the mean developmental time from eggs to adults was 90.96, 58.29, 54.61, 42.33, 32.33 and 34.52 days, respectively. Developmental time and accumulated degree days results were used to construct thermal summation model and isomorphen diagram. The calculated values of lower developmental thresholds and thermal summation constant estimated by a linear model were 11.88 °C and 650.89 degree days, respectively. Through a nonlinear model, the upper lethal developmental threshold temperature, intrinsic optimum temperature and lower developmental thresholds were estimated to be 35.18, 20.50 and 13.17 °C, respectively. A growth curve, an equation and isomegalen diagram based on them show the relationship between developmental time and larval body length. The larval body length increased with increased developmental time and eventually plateaued, revealing an S-shape growth curve. These results provide important basic developmental data for H. illucens, which can be used to estimate the PMImin.

Portion size matters: Carrion ecology lessons for medicolegal death investigations-A study in Cape Town, South Africa.

Forensic taphonomic studies are regionally specific and improve time since death estimates for medico-legal casework. Within forensic taphonomy and carrion ecology, vertebrate scavengers are under-researched with many studies conducted using multiple, unclothed carcasses. This is a forensically unrealistic experimental design choice with unknown impact. The effect of variation in carrion biomass on the decomposition ecosystem, particularly where vertebrate scavengers are concerned, requires clarification. To assess the effect of carrion biomass load on vertebrate scavenging and decomposition rate, seasonal baseline data for single, clothed ~60 kg porcine carcasses were compared to clothed multiple-carcass deployments, in a forensically relevant habitat of Cape Town, South Africa. Decomposition was tracked via weight loss and bloat progression and scavenging activity via motion-activated cameras. The single carcasses decayed more quickly, particularly during the cooler, wetter winter, strongly correlated with concentrated Cape gray mongoose (Galerella pulverulenta) scavenging activity. On average and across seasons, the single carcasses lost 68% of their mass by day 32 (567 accumulated degree days [ADD]), compared to 80 days (1477 ADD) for multi-carcass deployments. The single carcasses experienced substantially more scavenging activity, with longer visits by single and multiple mongooses, totaling 53 h on average compared to 20 h for the multi-carcass deployments. These differences in scavenging activity and decay rate demonstrate the impact of carrion biomass load on decomposition for forensic taphonomy research. These findings need corroboration. However, forensic realism requires consideration in taphonomic study design. Longitudinally examining many single carcasses may produce more forensically accurate, locally appropriate, and usable results.