Biodiversity Data Journal :
Research Article
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Corresponding author: Eunice Jingmei Tan (eunice.tan@nus.edu.sg)
Academic editor: Emmanuele Farris
Received: 30 Oct 2024 | Accepted: 05 May 2025 | Published: 23 May 2025
© 2025 Karthigan Ramatas, Feiyang Wen, Mohamad Azlin bin Sani, Von Bing Yap, Eunice Jingmei Tan
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ramatas K, Wen F, bin Sani MA, Yap VB, Tan EJ (2025) Defoliation in mangrove saplings vary depending on species and environment. Biodiversity Data Journal 13: e140659. https://doi.org/10.3897/BDJ.13.e140659
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As mangrove ecosystems are rapidly being degraded worldwide, it is essential to understand how we can protect them. Defoliation of mangrove saplings can negatively affect mangrove ecosystems’ health and resilience, and its effects can be further exacerbated and accelerated by habitat disturbances such as climate change and urban development. We examined the levels of defoliation across four different species of mangrove saplings—Bruguiera cylindrica, B. gymnorhiza, Rhizophora apiculata and R. mucronate across ten sites on Pulau Ubin, Singapore. We found that different species of mangrove saplings suffered different rates of defoliation, and this could be because of interaction effects from proximity to roads, river mouth and past site use for aquaculture.
mangrove saplings, Rhizophora, Bruguiera, defoliation, aquaculture
Mangrove ecosystems are rapidly being degraded worldwide, with a 30% reduction over the past 50 years (
Herbivory plays an indispensable role in mangrove nutrient cycling pathways (
The paucity of studies on mangrove herbivory could be attributed to the perceived lower rate of herbivory in mangroves compared to other forest types (
Factors ranging from distance to roads and river mouths, mangrove species, plant height, rate of growth and site history can further affect the extent of herbivory on mangroves. Distance from nearby roads and motorways can affect herbivory, as plants near the road can suffer higher rates of insect herbivory (
Changes to land-use, such as the conversion of mangroves for aquaculture is widespread and can be detrimental to mangroves. From 2000 to 2016, 62% of mangrove losses were caused by land-use changes related to aquaculture and agriculture (
Mangroves in Singapore were initially deforested for fuel and firewood, and later subject to industrialization, agriculture, aquaculture, and land reclamation. As a result, the area of mangroves has decreased massively from approximately 75km2 in 1819, to less than 7 km2 today (
Study site
Defoliation rates of mangrove saplings were surveyed at Pulau Ubin (
Defoliation assessment
Understanding the extent of defoliation requires reliable estimates of damage. Visual estimates provide a non-destructive, yet fast and cost-effective method to quantify defoliation (
Effects of land use
To understand the effects of land use on defoliation levels, we collected data on the distance of saplings from roads, past site use in aquaculture and proximity to rivers. The sites had varying distances to 1) roads with vehicular and foot traffic (Jalan Wat Siam, Jalan Durian, and Jalan Noordin); 2) biking trails (Ketam Mountain Bike Trail); and 3) pedestrian trail (Chek Jawa Trail). We used Google Maps to measure the shortest distance from each sapling to the nearest road by selecting the function 'Measure distance' on the website. Sites were scored for past aquaculture use based on the presence of man-made ponds and bunds during our surveys, and from historical records (
Site |
Past aquaculture use |
River mouth |
1 |
No |
No |
2 |
Yes |
No |
3 |
Yes |
No |
4 |
Yes |
No |
5 |
No |
No |
6 |
Yes |
No |
7 |
No |
Yes |
8 |
No |
No |
9 |
No |
No |
10 |
Yes |
Yes |
Data analyses
Data analyses were conducted using R (version 4.3.1). To calculate the defoliation rate of each leaf, we used a uniform distribution adapted to the assigned range: 0%, 1-10%, 11-25%, 26-50%, 51-75%, and >75%. For example, if a leaf is in the bin 1-10%, we generated a number uniformly from 1 to 10. This procedure was applied to all leaves to derive a mean defoliation rate for each tree. We examined the effects of the following variables on defoliation rate: 1) mangrove sapling species, 2) sapling height, 3) distance from road, 4) past aquaculture history, and 5) proximity to river mouths. A linear model was built to understand how species, height, distance from road, and site history affect the defoliation rate of trees. An initial full-factorial model included all interactions, but no significant interaction was found between species and river mouth. Therefore, we analyzed a reduced model with interactions between mangrove sapling species and height, and among proximity to river mouth, distance from roads, mangrove sapling species and past aquaculture history. As the imputation procedure contains random elements, we repeated the imputation of defoliation rates 1,000 times, and looked for robust results from the regression analysis. We visually summarized the p-values associated with the variables and computed the proportion of significant effects across the 1,000 runs. The Benjamini-Hochberg procedure was applied to control for multiple comparisons, ensuring that the reported P-values reflect the true significance of the variables.
We surveyed a total of 152 BRCY saplings, 72 BRGY saplings, 93 RHAP saplings and 130 RHMU saplings across 10 sites at Pulau Ubin. While the majority of sites exhibited a presence of all four species, the specific distribution varies across sites. Some sites hosted only two or three species (Fig.
Our initial analyses revealed that, compared to BRCY, both BRGY and RHMU are less susceptible to defoliation (estimated effect BRGY: -20.78±1.96, RHMU: -25.76±1.96, Suppl. material
Variable name |
Proportion of P < 0.05 over 1,000 runs |
Height |
0.105 |
Species |
1.000 |
River mouth |
0.001 |
Distance |
0.000 |
Aquaculture |
0.000 |
Height: Species |
0.000 |
River mouth: Distance |
0.000 |
Species: River mouth |
0.000 |
Species: Distance |
0.000 |
River mouth: Aquaculture |
0.000 |
Distance: Aquaculture |
0.318 |
Species: Aquaculture |
0.000 |
Species: River mouth: Distance |
0.999 |
River mouth: Distance: Aquaculture |
0.977 |
Species: River mouth: Aquaculture |
0.000 |
Species: Distance: Aquaculture |
0.332 |
Species: River mouth: Distance: Aquaculture |
0.000 |
Our study found that the different species of mangrove saplings experienced varying rates of defoliation, and this could be because of interaction effects from proximity to roads, river mouths and past site use for aquaculture. In addition, the species distribution across sites varied, with certain sites hosting two species each, while sites 3 and 7 hosted three species (Figure 2A).
Differences in defoliation across mangrove species may result from varying herbivory preferences due to leaf toughness and unpalatable chemicals. Interspecific variations in herbivory exist, with some species experiencing higher levels, possibly due to lower tannin levels (
Individually, factors such as proximity to roads, river mouths and past aquaculture use have no significant impact on mangrove herbivory, but their interactions played a significant role. This could be due to increased dryness and salinity of mangroves caused by fragmentation from roads (
Conversion to aquaculture affects mangroves in several ways. During the construction of ponds for shrimp farming, mangrove fringes were left between the shore and the pond to protect the ponds against direct wave action (
Understanding how defoliation varies across different mangrove sapling species is essential for rehabilitating, reforesting, and protecting mangroves. Defoliation can lead to reduced soil carbon losses (
This research was funded by the Ministry of Education, Singapore, and Yale-NUS College Start-up Grant to EJT, and the National University of Singapore FoS-FASS joint programme (WBS numbers: A-8001818-00-00, A-8001818-01-00) to EJT.
KR and EJT conceived the project; KR and MABS performed the fieldwork; FW and VBY performed the data analyses and visualisation; KR and EJT wrote the manuscript, with contributions from all authors.
Violin Plot for Distribution of p-values Across Variables. This violin plot shows p-value distributions across 1,000 imputation runs for each variable. The horizontal line at p=0.05 marks the significance threshold. Plot, Plot intersect with distance, and Species consistently show significant effects (distributions mostly below 0.05), while Distance and Height remain largely non-significant. This visualization identifies which factors reliably influence defoliation rates despite randomness in the imputation process.
Violin Plot for Distribution of p-values Across Regrouped Variables. This violin plot displays p-value distributions across 1,000 imputation runs examining factors affecting defoliation rates. The horizontal line at p=0.05 marks the significance threshold. Distance, Height, Rivermouth:Distance, and Species:Rivermouth:Distance consistently show significant effects (distributions mostly below 0.05). Species was a particularly strong predictor, with p-values consistently below 0.05 across all runs. This visualization confirms which factors reliably influence defoliation patterns when considering site history and geographical characteristics, despite randomness in the imputation process.
Coefficient estimates and standard errors (to 2 d.p.) from interaction effects from proximity to roads and species
Coefficient estimates and standard errors (to 2 d.p.) for interaction effects from species, river mouth and past site use for aquaculture.