Using site-selection model to identify suitable sites for seagrass transplantation in the west coast of South Sulawesi

Lanuru, Mahatma; Mashoreng, Supriadi; Amri, Khairul

doi:10.1088/1742-6596/979/1/012007

Cited by 8 publications

(11 citation statements)

References 11 publications

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“…Just over half of macrophyte HSM papers studied multiple species (51%), whereas seagrass studies appear to be more species focused, with 31% covering multiple species. Seagrass species targeted for studies so far, include, Z. marina (Canal-Vergeś et al, 2016;Beca-Carretero et al, 2020), Z. noltei (Valle et al, 2011;Valle et al, 2014), Z. japonica (Shafer et al, 2016), Posidonia oceanica (Bakirman & Gumusay 2020; Catucci & Scardi 2020), Cymodocea nodosa (Chefaoui et al, 2016), Enhalus acoroides (Lanuru et al, 2018) and Halophila stipulacea (Wesselmann et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

The use of habitat suitability modelling for seagrass: A review

et al. 2022

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Coastal ecosystems, including coral reefs, mangroves, and seagrass, are in global decline. Mitigation approaches include restoration and other managed recovery interventions. To maximise success, these should be guided by an understanding of the environmental niche and geographic limits of foundational species. However, the choices of data, variables, and modelling approaches can be bewildering when embarking on such an exercise, and the biases associated with such choices are often unknown. We reviewed the current available knowledge on methodological approaches and environmental variables used to model and map habitat suitability for coastal ecosystems. While our focus is on seagrass, we draw on information from all marine macrophyte studies for greater coverage of approaches at different scales around the world. We collated 75 publications, of which 35 included seagrasses. Out of all the publications, we found the most commonly used predictor variables were temperature (64%), bathymetry (61%), light availability (49%), and salinity (49%), respectively. The same predictor variables were also commonly used in the 35 seagrass Habitat Suitability Models (HSM) but in the following order: bathymetry (74%), salinity (57%), light availability (51%), and temperature (51%). The most popular method used in marine macrophyte HSMs was an ensemble of models (29%) followed by MaxEnt (17%). Cross-validation was the most commonly used selection procedure (24%), and threshold probability was the favoured model validation (33%). Most studies (87%) did not calculate or report uncertainty measures. The approach used to create an HSM was found to vary by location and scale of the study. Based upon previous studies, it can be suggested that the best approach for seagrass HSM would be to use an ensemble of models, including MaxEnt along with a selection procedure (Cross-validation) and threshold probability to validate the model with the use of uncertainty measures in the model process.

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Section: Resultsmentioning

confidence: 99%

The use of habitat suitability modelling for seagrass: A review

et al. 2022

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“…This becomes particularly useful for species with the potential to disperse over long distances via ocean currents during various life stages [59,102] and for species with a highly variable level of meadow genetic diversity over their distribution range (e.g., P. oceanica [103,104]). These maps, together with habitat suitability and site selection models [105], are important to identify whether or not seagrass recovery can naturally occur or whether the targeted population would remain isolated after being restored (in this case, restoration is not advisable). In the first case, it is the result of a high level of connectivity and gene flow between degraded and neighboring sites, or in the second case, resulting from the absence of population connectivity.…”

Section: Integration Of Biogeographic and Genetic Datamentioning

confidence: 99%

The Genetic Component of Seagrass Restoration: What We Know and the Way Forwards

Pazzaglia

Nguyen

Santillán-Sarmiento

et al. 2021

Water

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Seagrasses are marine flowering plants providing key ecological services and functions in coasts and estuaries across the globe. Increased environmental changes fueled by human activities are affecting their existence, compromising natural habitats and ecosystems’ biodiversity and functioning. In this context, restoration of disturbed seagrass environments has become a worldwide priority to reverse ecosystem degradation and to recover ecosystem functionality and associated services. Despite the proven importance of genetic research to perform successful restoration projects, this aspect has often been overlooked in seagrass restoration. Here, we aimed to provide a comprehensive perspective of genetic aspects related to seagrass restoration. To this end, we first reviewed the importance of studying the genetic diversity and population structure of target seagrass populations; then, we discussed the pros and cons of different approaches used to restore and/or reinforce degraded populations. In general, the collection of genetic information and the development of connectivity maps are critical steps for any seagrass restoration activity. Traditionally, the selection of donor population preferred the use of local gene pools, thought to be the best adapted to current conditions. However, in the face of rapid ocean changes, alternative approaches such as the use of climate-adjusted or admixture genotypes might provide more sustainable options to secure the survival of restored meadows. Also, we discussed different transplantation strategies applied in seagrasses and emphasized the importance of long-term seagrass monitoring in restoration. The newly developed information on epigenetics as well as the application of assisted evolution strategies were also explored. Finally, a view of legal and ethical issues related to national and international restoration management is included, highlighting improvements and potential new directions to integrate with the genetic assessment. We concluded that a good restoration effort should incorporate: (1) a good understanding of the genetic structure of both donors and populations being restored; (2) the analysis of local environmental conditions and disturbances that affect the site to be restored; (3) the analysis of local adaptation constraints influencing the performances of donor populations and native plants; (4) the integration of distribution/connectivity maps with genetic information and environmental factors relative to the target seagrass populations; (5) the planning of long-term monitoring programs to assess the performance of the restored populations. The inclusion of epigenetic knowledge and the development of assisted evolution programs are strongly hoped for the future.

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“…One of the important marine ecosystems in Lae-Lae Island water is seagrass. Surface sediment characteristics on the Lae-Lae Island have been studied by Lanuru (2011), and the bioavailability of Pb and Cu in Sediments of vegetated seagrass on the Lae-Lae sandbar (Lae Lae Caddi Island) has been studied by Werorilangi et al (2016).…”

Section: Introductionmentioning

confidence: 99%

The Suitable Sites for Seagrass Transplantation in Lae-Lae Island and Sandbar According to Sediment Characteristics

Lanuru,

Patandianan,

Wahidin

et al. 2022

omni.akua

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The success of a seagrass transplantation effort depends on identifying locations with optimal sediment characteristics for seagrass growth and survival. This study analyzed sediment characteristics of seagrass bed sediment and adjacent unvegetated sediment on Lae-Lae Island and Lae-Lae sandbar (Makassar, South Sulawesi) to determine the suitable sites for seagrass transplantation. Seagrass bed sediments and adjacent unvegetated sediments were collected from four locations to measure sediment particle size, redox potential, organic matter, water content, nitrate, and phosphate concentrations. Analysis of similarities (ANOSIM) was performed using PAST (Paleontological Statistics) software to determine a suitable site for seagrass planting (transplantation). The results show that surface sediments in the Lae-Lae island are composed of medium sand and coarse sand with grain sizes varying from 0.290 to 0.768 mm, whereas in the Lae-Lae sandbar, the sediment is composed of medium sands (0.371 – 0.460 mm). Redox potential (Eh) varied from -34.1 to -65.7mV, water contents were 1.3 to 1.8%, organic contents were 19.85 to 38.53%, nitrate content varied from 0.60 to 3.47, and phosphate content varied from 7.42 to 14.19 ppm. The percentage of mud (clay and silt) and organic matter were slightly higher in seagrass bed sediments compared to unvegetated area sediments. No differences in nutrient contents (nitrate and phosphate) between seagrass sediments and unvegetated were observed in this study. ANOSIM results show no difference in the sediment characteristics between a seagrass bed and unvegetated sand at the north and south sides of Lae-Lae Island and Lae-Lae sandbar, which means that these three sites are suitable for seagrass transplantation.Keywords: sediment, seagrass, transplantation, site selection, ANOSIM, Lae-Lae

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Using site-selection model to identify suitable sites for seagrass transplantation in the west coast of South Sulawesi

Cited by 8 publications

References 11 publications

The use of habitat suitability modelling for seagrass: A review

The use of habitat suitability modelling for seagrass: A review

The Genetic Component of Seagrass Restoration: What We Know and the Way Forwards

The Suitable Sites for Seagrass Transplantation in Lae-Lae Island and Sandbar According to Sediment Characteristics

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