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Plant Species in Immature Oil Palm Plantation Areas in Kolaka Regency, Indonesia

SJA_41_2_737-751

Research Article

Plant Species in Immature Oil Palm Plantation Areas in Kolaka Regency, Indonesia

Damhuri Damhuri1*, La Ode Muh. Munadi2, Lili Darlian1 and Sitti Wirdhana Ahmad3

1Department of Biology, Faculty of Teacher Training and Education, Halu Oleo University, 2Department of Animal Science, Faculty of Animal Science, Halu Oleo University, 3Department of Biology, Faculty of Mathematics and Natural Sciences, Halu Oleo University. Jl. H.E.A Mokodompit, Campus Hijau Bumi Tridharma, Anduonohu, Kendari City, Southeast Sulawesi, 93232 Indonesia.

Abstract | This study analyses the botanical composition, species diversity, dominance, and evenness of plant species in immature oil palm plantation areas in Kolaka Regency. The study area is 7.698,46 hectares, with 2.732,91 hectares of immature oil palm plants. The study was conducted for eight months, from January to August 2024, in two main sub-districts, namely Tanggetada and Watubangga. Data were collected through field observation methods with exploration and sampling using the transect method to identify plant community types. Sampling was carried out in six villages such as Kastura Village, Polenga Village, Kukutio Village (Watubangga District), as well as Pundaipa Village, Oneeha Village, and Tinggo Village (Tanggetada District), with a total of 50 sample points per village. Vegetation analysis using the Summed Dominance Ratio (SDR) calculation, which includes Absolute Density (AD), Absolute Frequency (AF), Relative Density (RD), Relative Frequency (RF), Importance Value (IV), Species Diversity Index (H’), Dominance Index (C), and Evenness Index (E). The findings show that the dominant species vary in each village, including Panicum maximum (Jacq.) (Polenga, SDR: 3.4592%), Mikania micrantha Kunt. (Kastura, SDR: 3.6073%), Phymatodes sp. (Kukutio, SDR: 3.6183%), Nephrolepis bisserrata (Pundaipa, SDR: 3.6072%), Chromolaena odorata (L.) King (Tinggo, SDR: 3.9861%), and Asystasia coromandeliana Ness. (Village, SDR: 3.5335%). The species diversity value (1<H’<3) at all locations is moderate, indicating a stable plant diversity.


Received | January 01, 2025; Accepted | February 16, 2025; Published | May 13, 2025

*Correspondence | Damhuri Damhuri, Department of Biology, Faculty of Teacher Training and Education, Halu Oleo University, Email: [email protected]

Citation | Damhuri, D., L.O.M. Munadi., L. Darlian and S.W. Ahmad. 2025. Plant species in immature oil palm plantation areas in kolaka regency, Indonesia. Sarhad Journal of Agriculture, 41(2): 737-751.

DOI | https://dx.doi.org/10.17582/journal.sja/2025/41.2.737.751

Keywords | Plant species, Oil palm plantation, Immature, Summed dominance ratio, Diversity, Dominance, Evenness

Copyright: 2025 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



Introduction

Indonesia has the largest area of oil palm plantations in the world, reaching 15.435,70 million hectares in the last year. Oil palm plantations strategically support the national economy by contributing to exports, employment absorption, and rural development (Munadi et al., 2023; Sani et al., 2023). West Kalimantan Province is the province with the largest area of oil palm plantations in Indonesia, which is 2.200,80 million hectares, which reflects the great potential for natural resource management in the region. In contrast, North Maluku Province has the smallest area of oil palm plantations, only 5,60 thousand hectares, which illustrates the disparity in the development of the plantation sector between regions in Indonesia.

In Southeast Sulawesi, the area of oil palm plantations is 75.921 hectares, showing the significant contribution of this region to the national plantation sector. One of the districts that are the centre of oil palm plantation activities in this province is Kolaka Regency, with a total plantation area of 31.291 hectares. Kolaka Regency, Tanggetada District and Watubangga District are the main areas for oil palm development, each with a plantation area of 5.085,81 thousand hectares and 2.612.73 thousand hectares (Efendy and Lataniambo, 2024).

This research focuses on the oil palm plantation area in Kolaka Regency, with a total research area of 7.698,46 thousand hectares. Of this area, around 2.732,91 hectares are oil palm plants that have not yet been produced. The existence of these immature plants presents challenges in land management and efforts to increase productivity, considering that this stage requires special attention in terms of maintenance and management of natural resources (Sani et al., 2021; Munadi et al., 2021; Sani et al., 2021). The research area, which consists of immature oil palm plantations, also has interesting ecological characteristics, especially regarding the diversity of plant species that grow in the area. These plants include various species that can function as natural ground cover, carbon absorbers, and protection against soil erosion. However, these plants also need to be appropriately managed not to inhibit the growth of oil palms.

Oil palm plantation areas in Southeast Sulawesi, especially in Kolaka Regency, have challenges in the form of environmental management. The vast area of plantation land is often associated with deforestation and changes in land use, which can impact the local ecosystem. Therefore, an integrated approach between economic, social, and environmental aspects is key in developing this area. In the socio-economic context, oil palm plantations in Tanggetada and Watubangga Districts serve as the local community’s primary livelihood source. Many families depend on activities in this plantation sector, either as plasma farmers, workers, or providers of supporting services. On the other hand, the vast area of oil palm land that has not yet been produced is an opportunity to apply modern technology in plantation management.

This study also considers the potential for increasing productivity through diversification of area use. For example, planting intercrops compatible with oil palm can provide additional income for farmers while improving soil health. In addition, an agroforestry approach can be implemented to integrate oil palm with forest plants with high ecological value (Zulkarnain et al., 2021; Astarika et al., 2023). Another important aspect is the analysis of plant species composition in the oil palm plantation area, which has not yet been produced. This information can be used to identify the potential use of local plants as a source of animal feed, organic materials for fertilizer, or other industrial raw materials. A deep understanding of plant diversity can also support biodiversity conservation amidst plantation intensification.

Supporting sustainable management, this study provides data and analysis that can be used to plan more effective management of oil palm plantation areas. This includes the management of plant diversity for the implementation of environmentally friendly agricultural practices. The novelty of this study lies in the specific analysis of immature oil palm plants in the study area. The focus on the diversity of local plant species growing around immature plants aims to provide a new perspective on the ecological and economic potential that has received little attention. This study is also one of the first to examine the diversity of plant species in oil palm plantations in Kolaka Regency. This study not only offers practical solutions for plantation management but also contributes to developing a sustainable oil palm management model in Indonesia.

Materials and Methods

Research Location

This research was conducted in an immature oil palm plantation area located in Kolaka Regency. The study was conducted for eight months, from January to August 2024. The research activity began with observations of the conditions and area of the oil palm plantation, which was the focus of the study. The research location covered two main sub-districts: Tanggetada

 

and Watubangga (Figure 1). The selection of these two locations was based on the area of immature oil palm plantations, which reached 2.732,91 hectares. Oil palm plants in this area are immature, so they are relevant objects to be analyzed in managing, maintaining, and optimising the area’s potential.

Tools and Materials

The equipment used includes a questionnaire to obtain information, a GPS (Global Positioning System) to determine the coordinates of the research location, a digital camera to document field conditions, and a roll meter to measure the area accurately. In addition, devices such as tropical greenery E-books are used as field references, compasses for direction orientation, raffia ropes, digital scales, bamboo, machetes, scissors, large plastic, label paper, newspaper, and stationery are the prominent supporters in the process of taking and processing samples. The materials studied in this study include various types of greenery that grow in oil palm plantation areas.

Data Collection and Sampling

The research data were obtained through observation, direct observation, and identification processes in the oil palm plantation area. The research sample included all types of plant species found in the unproductive oil palm plantation area located in Watubangga District and Tanggetada District.

Data Collection Technique

Data collection techniques used field observation methods, such as exploring and taking transect samples, to determine the plant community type in the oil palm plantation area. At each point, a transect measuring 10x30 m2 was made with a width of 10 meters on the right and left. Then, identified the types of plants, record, and compare the types of plants using tropical greenery E-books, the internet, and other literature.

Botanical Composition Sampling

Sampling for botanical composition analysis was conducted in six villages across two sub-districts. In Watubangga Sub-district, the research locations included Kastura Village, Polenga Village, and Kukutio Village. Meanwhile, the research was conducted in Tanggetada Sub-district, Pundaipa Village, Oneeha Village, and Tinggo Village. In each village, samples were taken from unproductive oil palm plantation areas with 50 sample points per village. Overall, the transect method was used to sample all research locations, with 300 points. Identification of plant species was carried out through field exploration and herbarium collections. Plant specimens were collected from each location based on the specific conditions of the unproductive oil palm plantation area (Figure 2 and Figure 3). Furthermore, the collected plant specimens were identified by comparing the physical

 

 

characteristics of the plants with related scientific literature to determine the type name and Latin name of the plant.

Analysis of Data

Summed Dominance Ratio (SDR)

The calculations used to analyze vegetation on oil palm plantations use the Summed Dominance Ratio (SDR), including Absolute Density (AD), Absolute Frequency (AF), Relative Density (RD), Relative Frequency (RF), and Important Value (IV) (Moenadir, 1993; Sembodo, 2010; Kastanja, 2011).

Species Diversity Index (H’)

Where;

H’ = Species diversity index.

Pi = Opportunities of interest for each species= ni/N.

Ni = Number of individuals of each species.

N = Total number of individuals.

The classification of diversity values is as follows:

H’< 1 = Low diversity

1 < H’ < 3 = Moderate diversity

H’ > 3 = High diversity.

Dominance Index

Where;

C = Dominance index.

Ni = Importance values for each species.

N = Total value of interest.

Dominance index result criteria:

0<C<C0,5 = There is no dominant type.

0,5<C<1 = There is a type that dominates.

Evenness Index

E = H’/H maks.

Where;

E = Evenness index.

H’ = shanon-wiener diversity index.

H’ maks = log 2 S.= 3,3219 log S.

S = Number of taxa.

The following criteria are used to determine the evenness value:

>0,6= High.

0,3-0,6 = Moderate.

<0,3= Low.

Results and Discussion

SDR

Plant species in oil palm plantation areas that have not yet been produced in various regions have different numbers of species because they are influenced by the intensity of light that directly hits the soil base where the species grows. Light is an environmental factor that affects secondary plants’ growth, development, and metabolism and has an optimal light range for growth (Guo et al., 2006; Zoratti et al., 2014; Yang et al., 2018). The SDR of Immature plants in Watubangga District is presented in Table 1.

Warastra et al. (2016) plant species on unproductive oil palm plantations in Aluebilie District, Naganraya Regency are Nephrolepis bisserata 31.90%, Stenochlaena palutris 22.24%, Asystasia gangetica 13.48%, and Derris elliptica 23.64%. This is certainly different from the results of research that has been carried out in Polenga Village; the plant species with the highest SDR value was Panicum maximum (Jacq.) 3.4592%, and the lowest was the Phymatopteris triloba (Houtt.) Pic. Serm. with a value of 1.5313%. Study Nasution et al. (2017) that on oil palm plantations there are Eleusine indica species has a value of 21.61%, Echinochloa colona 12.33%, Synedrella nodiflora 18.60%, Asystasia intrusa 20.95%, and Paspalum conjugatum 9.79%.

Abdi et al. (2018) reported that plant species found in the unproductive oil palm plantation area in the PTPN V plantation, Kampar Regency, Riau Province, have varying SDR values based on type such as Ageratum conyzoides 21.22%, Axonopus compressus 17.02%, Amarantus spinosus 15.48%, and Cyperus kyllingia 12.88%. This finding contrasts with the research results in Kastura Village, where the species with the highest SDR value was Mikania micrantha Kunt., recorded at 3.6073%. Meanwhile, the species with the lowest SDR value was Asystasia coromandeliana Ness, with a value of 1.4305%.

At the research location of Kukutio Village, the plant species with the highest SDR value was Phymatodes sp. with a value of 3.6183% and the lowest was the plant species Scleria sumatrensis Retz with a value of 1.6634%. The SDR value of plant species in immature oil palm stands in Tanggetada District is presented in Table 2.

This shows that the plant species with the highest SDR value in Pundaipa Village was Nephrolepis bisserratai 3.6072%, while the lowest species was Pennisetum purpureum Schumach with 1.4932% SDR value. Tinggo Village has the highest SDR value of species Chromolaena odorata (L.) with value of 3.9861%; the

 

Table 1: Summed Dominance Ratio of Watubangga District.

Family

Species

SDR (%) Polenga

SDR (%) Kastura

SDR (%) Kukutio

Acanthaceae

Asystasia coromandeliana Ness.

2.1609

1.4305

3.5335

Mikania micrantha Kunt.

2.4964

3.6073

2.0198

Adiantaceae

Taenitis blechnoides (Willd.) Sw.

2.0343

1.5920

2.7892

Aspleniaceae

Asplenium macrophyllum Sw.

1.6860

1.6911

3.5492

Asplenium nidus L.

2.1481

2.7853

4.0030

Asplenium platyneuron (L.)

3.1860

2.3488

2.0292

Asteraceae

Ageratum conyzoides L.

2.6524

2.0285

1.7985

Chromolaena odorata (L.) King

3.1050

2.6296

1.9852

Cyperaceae

Cyperus distans L.f.

2.6477

1.6769

2.4705

Cyperus rotundus L.

2.3885

1.9095

2.4642

Cyperus kylingia

2.1059

2.3205

1.8062

Scleria sumatrensis Retz.

2.5961

2.4026

1.6634

Dennsteadtiaceae

Nephrolepis bisserrata

1.6954

2.7259

2.3260

Euphorbia hirta L.

2.4213

2.7174

2.6918

Euphorbiaceae

Phyllanthus amarus Schumach. & Thonn

1.8092

2.0624

2.2317

Gleicheniaceae

Gleichenia liniaris

2.6101

2.7542

1.7136

Lycopodiaceae

Licopodium cernuum

2.4260

3.2785

3.5303

Malvaceae

Urena lobata L.

3.0757

2.8533

2.7201

Melastomataceae

Clidemia hirta (L.) D.Don

2.9443

1.9460

2.3354

Mimosaceae

Mimosa pudica L.

1.8936

1.6033

2.6950

Poaceae

Axonopus compressus (Sw.) P.Beauv.

2.2372

2.5471

2.0575

Brachiaria miliformis

2.5245

2.1587

2.0355

Brachiaria mutica (Forssk.) Stapf

2.7602

2.0738

2.7232

Cynodon dactylon (L.) Pers.

1.8655

2.3517

1.8376

Cyrtococcum accrencens

2.8787

3.5903

2.8112

Chrysopogon aciculatus (Retz.) Trin.

2.8318

1.9378

2.4485

Digitaria cilliaris

2.0871

3.2643

2.0575

Imperata cylindrica (L.) P.Beauv.

2.6008

2.7089

2.3857

Ischaemum timorense Kunth.

2.4226

2.8703

1.9727

Panicum brevifolium (Link) Kunth.

2.8084

2.7598

2.7609

Panicum maximum (Jacq.)

3.4592

2.1021

2.0606

Panisetum polystachyon

1.7423

3.6045

1.7136

Pennisetum purpureum Schumach.

2.0918

2.8448

3.1174

Polypodiaceae

Davalia denticulata

2.3663

1.5183

2.4705

Goniophiebium persicifolium

2.6852

2.7627

1.7136

Phymatodes sp.

2.2700

2.5018

3.6183

Phymatopteris triloba (Houtt.) Pic.Serm.

1.5313

2.7287

2.4076

Rubiaceae

Borreria latifolia (Aubl.) K.Schum.

1.9780

1.4928

1.8847

Solanaceae

Solanum torvum Sw.

3.2410

2.4933

2.3794

Verbenaceae

Stachytarpheta indica (L.) Vahl.

2.3275

1.5183

1.7513

Leguminaceae

Calopogonium mucunoides Desv.

1.9464

3.3266

2.3794

Alysicarpus vaginalis (L.) DC.

2.1528

2.1644

2.3574

Desmodium triflorum (L.) DC.

2.5398

2.8986

2.3888

Source: Data Analysis Results, 2024.

 

Table 2: Summed Dominance Ratio of Tanggetada District.

Family

Species

SDR (%) Pundaipa

SD (%) Tinggo

SDR (%) Oneeha

Acanthaceae

Asystasia coromandeliana Ness.

2.3648

2.2919

3.5335

Mikania micrantha Kunt.

2.0991

2.2153

2.0198

Adiantaceae

Taenitis blechnoides (Willd.) Sw.

2.7466

1.5913

2.7892

Aspleniaceae

Asplenium macrophyllum Sw.

2.9326

3.1690

3.5492

Asplenium nidus L.

2.1607

2.1785

4.0030

Asplenium platyneuron (L.)

2.3285

2.3402

2.0292

Asteraceae

Ageratum conyzoides L.

2.1944

1.9117

1.7985

Chromolaena odorata (L.) King

1.5884

3.9861

1.9852

Cyperaceae

Cyperus distans L.f.

2.6804

2.5503

2.4705

Cyperus rotundus L.

2.4536

3.1490

2.4642

Cyperus kylingia

2.3720

1.7846

1.8062

Scleria sumatrensis Retz.

2.5897

3.4641

1.6634

Dennsteadtiaceae

Nephrolepis bisserrata

3.6072

2.7121

2.3260

Euphorbia hirta L.

2.1218

2.4085

2.6918

Euphorbiaceae

Phyllanthus amarus Schumach. & Thonn

2.0174

3.1207

2.2317

Gleicheniaceae

Gleichenia liniaris

3.0350

2.4652

1.7136

Lycopodiaceae

Licopodium cernuum

2.1380

2.3066

3.5303

Malvaceae

Urena lobata L.

2.2061

2.4001

2.7201

Melastomataceae

Clidemia hirta (L.) D.Don

2.7874

3.2824

2.3354

Mimosaceae

Mimosa pudica L.

3.5846

2.8738

2.6950

Poaceae

Axonopus compressus (Sw.) P.Beauv.

2.0447

3.4725

2.0575

Brachiaria miliformis

2.6396

2.4568

2.0355

Brachiaria mutica (Forssk.) Stapf

2.4147

1.8298

2.7232

Cynodon dactylon (L.) Pers.

2.1944

2.0566

1.8376

Cyrtococcum accrencens

2.7602

1.6029

2.8112

Chrysopogon aciculatus (Retz.) Trin.

2.5126

1.8182

2.4485

Digitaria cilliaris

2.2015

2.2636

2.0575

Imperata cylindrica (L.) P.Beauv.

2.2650

1.8749

2.3857

Ischaemum timorense Kunth.

2.0537

2.1417

1.9727

Panicum brevifolium (Link) Kunth.

1.8742

2.1417

2.7609

Panicum maximum (Jacq.)

2.6215

2.7572

2.0606

Panisetum polystachyon

2.9053

2.9474

1.7136

Pennisetum purpureum Schumach.

1.4932

2.4821

3.1174

Polypodiaceae

Davalia denticulata

2.1490

2.6354

2.4705

Goniophiebium persicifolium

2.3149

2.1900

1.7136

Phymatodes sp.

1.8924

3.3927

3.6183

Phymatopteris triloba (Houtt.) Pic.Serm.

1.9585

1.9547

2.4076

Rubiaceae

Borreria latifolia (Aubl.) K.Schum.

2.8464

1.4411

1.8847

Solanaceae

Solanum torvum Sw.

3.4666

1.5630

2.3794

Verbenaceae

Stachytarpheta indica (L.) Vahl.

1.9948

1.7983

1.7513

Leguminaceae

Calopogonium mucunoides Desv.

2.6668

1.5430

2.3794

Alysicarpus vaginalis (L.) DC.

1.8269

2.1249

2.3574

Desmodium triflorum (L.) DC.

2.2469

1.9716

2.3888

Source: Data Analysis Results, 2024.

 

lowest was Borreria latifolia (Aubl.) K.Schum. with a value of 1.4411%. Kardianto et al. (2018) PT. Buana Tunas Sejahtera West Kalimantan Scleria sumatrensis has the highest SDR value 40.44% and Cyperus iria 15.08%. Lubis et al. (2018) In PT. Socfindo Kebun Bangun Bandar, located in Dolok Masihul District, Serdang Bedagai Regency, the plant species with the highest SDR values are Nephrolepis biserrata (31.90%), Derris elliptica (23.65%), Stenochlaena palustris (22.24%), and Asystasia gangetica (13.48%).

Suyani et al. (2019) The immature oil palm plantation area in Tanjung Rejo Village, Margo Tabir District, Merangin Regency, exhibits varying SDR values, with Paspalum conjugatum at 14.94%, Imperata cylindrica at 11.68%, and Eragrostis tenella at 9.04%. This differs from the research conducted in Oneeha Village, where the highest SDR values were recorded for Asystasia coromandeliana Ness. (3.5335%), Asplenium macrophyllum Sw. (3.5492%), Asplenium nidus L. (4.0030%), Lycopodium cernuum (3.5303%), Pennisetum purpureum Schumach. (3.1174%), and Phymatodes sp. (3.6183%). (Dahlianah, 2019) plant species in the oil palm plantation area that has immature have the highest SDR values of Borreria latifolia 23.20%, Eleusina indica 23.43%, and the lowest are Chromolaena odorata 9.29%, and Althernanthera philoxewides 8.30%.

Diversity of Types, Dominance, and Evenness of Plant Species

The species diversity index is an indicator that shows the community structure and ecosystem stability. The better the species diversity index of an ecosystem, the better the stability of the ecosystem, while the dominance index is a parameter that states the level of concentration of species dominance in a community and the evenness index functions to determine the evenness of each type in each community (Morris et al., 2014; Thukral et al., 2019; Qureshi et al., 2020). Study on diversity index, dominance index, and evenness index of plant species in oil palm plantation areas that have not yet been produced based on observation plots totalling 50 plots measuring 10×30m2 in Polenga Village, Kastura Village, and Kukutio Village, which are included in the administrative area of Watubangga District.

The research results in the oil palm plantation area have not yet produced Polenga Village (Table 3), which has an average value of 1<H’<3 or is included in the moderate category. This is caused by the intensity of land clearing, sunlight, and livestock footholds that consume green fodder in the oil palm plantation area, as well as herbicide spraying activities by plantation workers. The plant species found in each observation plot in the oil palm plantation area have differences, such as those found in Polenga Village. Nasution et al. (2017) that the dominance index value is 0.92, which means that there are species that dominate the growth media or 0.5<C<1. However, all plant species do not grow evenly because they have a value of <0.3 or are in the low category.

The diversity index of species, dominance index, and evenness index of plant species in plants have not yet produced Kastura Village (Table 3). The diversity index of plant species in Kastura Village shows a figure of 1<H’<3 or falls into moderate diversity. The species’ dominance index is relatively high but not evenly distributed in each observation plot. This is influenced by the activities of oil palm plantation workers in cleaning the plantation area so that the primary plants are not disturbed by the activities of weeds or other plants. Pranjaya et al. (2017) The composition of plant species in peatlands of oil palm plantations is 0.05. This shows that the species composition in oil palm plantations is not uniform or even.

Pertiwi et al. (2018) reported plant species on peatlands of oil palm plantations in Tebing Tinggi Okura Village, Rumbai Pesisir District, showed the level of species diversity of each research station included in the moderate category because the value obtained was >1H’<3 as well as the value of the weed dominance index at Station I to Station III was 0.25-0.38. The evenness index of each Station was 0.14, 0.15, and 5.6. The level of dominance was influenced by the intensity of light that inhibited plant development, or in other words, the number of species of a plant community was negatively correlated with shade because the shade would affect the entry of light into the soil to help plant species in carrying out the process of photosynthesis. Plant diversity includes all forms of life, including genes, plant species, ecosystems, and ecological processes and plant diversity also plays a role in maintaining various nutrients in the soil so that it can affect the biogeochemical cycle and significantly affect the stability and sustainability of nature (Patel et al., 2011).

The species diversity index, dominance index, and plant evenness index have immature Kukutio Village

 

Table 3: Diversity of Types, Dominance, and Evenness of Plant Species in Immature Oil Palm Plantation Areas in Watubangga District.

P

Polenga Village

Kastura Village

Kukutio Village

N

H'

E

C

N

H'

E

C

N

H'

E

C

P1

117

2.8452

0.8539

0.0335

433

3.1764

0.9532

0.0326

380

3.1608

0.9486

0.0298

P2

110

2.6803

0.7368

0.0331

447

2.5515

0.7014

0.0317

392

2.7110

0.7453

0.0301

P3

89

2.7581

0.7427

0.0379

265

3.2249

0.8684

0.0336

344

3.0264

0.8150

0.0273

P4

99

2.6510

0.7236

0.0316

326

2.9746

0.8120

0.0273

307

2.6159

0.7140

0.0299

P5

107

2.8700

0.7780

0.0307

292

2.3638

0.6408

0.0275

326

2.6519

0.7189

0.0279

P6

111

1.7782

0.5281

0.0285

260

1.8087

0.5371

0.0343

385

1.8264

0.5424

0.0309

P7

114

1.6992

0.5497

0.0314

267

1.9113

0.6183

0.0330

363

1.7200

0.5565

0.0304

P8

107

2.0415

0.6194

0.0331

228

1.9569

0.5937

0.0368

351

2.0815

0.6315

0.0314

P9

114

2.0447

0.6276

0.0295

272

1.8953

0.5817

0.0350

341

2.1931

0.6731

0.0317

P10

134

1.8265

0.5674

0.0305

312

1.9130

0.5943

0.0293

356

2.0033

0.6224

0.0286

P11

106

2.0719

0.6218

0.0349

314

1.8550

0.5567

0.0285

379

1.8930

0.5681

0.0294

P12

110

1.2985

0.4265

0.0355

347

1.2115

0.3979

0.0287

348

1.3219

0.4342

0.0311

P13

98

1.5267

0.4804

0.0354

245

1.5462

0.4865

0.0339

335

1.7257

0.5430

0.0324

P14

105

2.0373

0.6050

0.0347

309

2.1744

0.6458

0.0302

386

2.2646

0.6725

0.0304

P15

119

1.5742

0.5171

0.0323

300

1.5004

0.4928

0.0316

337

1.6071

0.5279

0.0335

P16

109

1.7230

0.5353

0.0319

273

1.6496

0.5125

0.0332

257

1.7984

0.5587

0.0363

P17

102

1.7608

0.5697

0.0336

333

1.7713

0.5730

0.0294

384

1.8860

0.6102

0.0297

P18

112

2.3256

0.6906

0.0335

281

2.0032

0.5949

0.0325

255

2.1766

0.6464

0.0370

P19

101

1.8626

0.5940

0.0348

255

1.7682

0.5639

0.0332

265

1.7979

0.5734

0.0375

P20

111

1.5679

3.1355

0.0007

274

1.4819

3.1355

0.0001

334

1.8925

3.1355

0.0001

P21

292

2.2374

0.6578

0.0313

263

2.1324

0.6270

0.0358

306

2.3517

0.6914

0.0301

P22

304

2.4261

0.7205

0.0315

269

2.2583

0.6707

0.0342

307

2.2264

0.6612

0.0315

P23

283

2.7443

0.8878

0.0311

273

2.7306

0.8834

0.0321

328

2.5525

0.8258

0.0281

P24

263

2.2681

0.7847

0.0321

286

2.2846

0.7904

0.0326

284

2.4302

0.8408

0.0335

P25

254

2.1335

0.6804

0.0309

325

2.4368

0.7772

0.0299

299

2.3064

0.7356

0.0312

P26

262

2.6840

0.8816

0.0320

255

2.6531

0.8714

0.0324

314

2.5077

0.8237

0.0324

P27

254

2.4034

0.7213

0.0334

330

2.5694

0.7711

0.0295

304

2.2736

0.6823

0.0329

P28

310

2.5139

0.8257

0.0302

273

2.3016

0.7560

0.0322

336

2.5311

0.8314

0.0310

P29

262

2.3879

0.7843

0.0336

276

2.3948

0.7866

0.0304

325

2.3793

0.7815

0.0309

P30

282

2.3867

0.7510

0.0309

311

2.5308

0.7963

0.0312

320

2.4108

0.7586

0.0301

P31

280

2.4625

0.7313

0.0320

388

2.1521

0.6391

0.0361

273

2.6805

0.7960

0.0350

P32

275

2.4481

0.8041

0.0330

446

2.4350

0.7998

0.0328

265

2.3239

0.7633

0.0358

P33

305

2.4660

0.8232

0.0293

404

2.3401

0.7811

0.0312

308

2.4328

0.8121

0.0313

P34

258

2.1997

0.7934

0.0362

392

2.4896

0.8979

0.0367

287

2.5946

0.9358

0.0330

P35

310

2.5046

0.9033

0.0310

340

2.3335

0.8416

0.0376

308

2.1148

0.7628

0.0337

P36

252

2.2989

0.7437

0.0309

490

2.4286

0.7857

0.0306

305

2.3288

0.7534

0.0335

P37

274

1.9168

0.6510

0.0315

433

2.0250

0.6877

0.0322

391

2.0496

0.6961

0.0268

P38

310

2.1167

0.5663

0.0302

480

2.4206

0.6476

0.0316

254

2.0315

0.5435

0.0367

P39

243

2.1285

0.5695

0.0336

439

2.1584

0.5775

0.0314

285

2.0996

0.5617

0.0330

P40

331

2.4364

0.7312

0.0297

481

2.2568

0.6773

0.0305

334

2.4786

0.7438

0.0297

P41

276

2.2712

0.7858

0.0339

495

2.1415

0.7409

0.0312

269

2.0206

0.6991

0.0336

P42

303

2.4410

0.8804

0.0288

438

2.1685

0.7821

0.0351

292

2.5048

0.9034

0.0322

P43

281

1.7658

0.5997

0.0323

441

1.8346

0.6231

0.0302

279

1.8932

0.6430

0.0338

P44

302

2.3523

0.7989

0.0309

438

2.5162

0.8546

0.0337

332

2.6743

0.9083

0.0310

P45

238

2.7507

0.9709

0.0354

466

2.9405

1.0379

0.0309

274

2.7462

0.9693

0.0343

P46

320

2.3803

0.7490

0.0295

326

2.4592

0.7738

0.0376

259

2.0808

0.6547

0.0359

P47

279

2.4489

0.7608

0.0310

448

2.4932

0.7746

0.0312

306

2.8243

0.8774

0.0298

P48

315

2.3800

0.7591

0.0017

483

2.3723

0.7566

0.0006

316

2.5693

0.8194

0.0000

P49

306

2.5923

0.8268

0.0301

481

2.6361

0.8407

0.0292

318

2.4988

0.7969

0.0323

P50

263

2.6292

0.7730

0.0333

452

2.6382

0.7757

0.0316

312

2.4061

0.7074

0.0323

Information: P (Plot), P1,2,3,4,…... (Plot Point), N (Number of Species), H’ (Species Diversity Index), E (Dominance Index), C (Evenness Index), Source: Data Analysis Results, 2024.

 

(Table 3), showing that the species diversity index of plants in the oil palm plantations of Kukutio Village was not much different from the species diversity index in Polenga Village and Kastura Village. The research results in Kukutio Village can prove that the plant diversity index of various species is at 1<H’<3 or is included in the moderate category. Meanwhile, these plant species turn out to be able to dominate the growing media, but there are no species that grow evenly in each research plot. This is to the research results carried out by Dahlianah (2019) the level of species diversity depends on the distance between oil palm plants because if the distance between plants is narrow, it is difficult for plant species to grow, and vice versa, the wider the distance between plants, the easier it is for these plant species to grow.

The results of the study are in Table 4. The diversity index of plant species is in the moderate category or has a value of 1<H’<3 and an even dominance index, as evidenced by the value >0.6 in almost all observation plots. However, no species grow evenly in each research plot. This is due to the intensity of cleaning plant species in oil palm plantation areas because they are considered weeds that interfere with oil palm plants.

Each place has different plant species, agricultural land, forest areas or settlements. This is in line with the research of Mardiyanti et al. (2013), which states that plant diversity is the diversity that occupies an ecosystem. All types of species can grow well if they are not disturbed by human activities and environmental conditions. According to the research of Hikmat and Setyawati (2017), habitat disturbance can result in changes in the composition and structure of stands and vegetation types, decreasing plant species diversity.

The results of the study on the species diversity index in Tinggo Village (Table 4) are not much different from the results of the survey conducted in Pundaipa Village (Table 4), which has a species diversity index value of 1<H’<3 and dominates the growing media but does not grow evenly in each research plot. Each plant species illustrates that a community can grow well if enough nutrients and light are needed. These plant species can be found in tropical rainforests, humid grasslands, roadsides, and rivers.

Yang et al. (2018) state that light intensity directly affects the photosynthesis of a plant species. This shows that the diversity index of plant species in the immature oil palm plantation area in Oneeha Village is not much different from the results of research conducted in the immature oil palm plantation area in Tinggo Village and Pundaipa Village. This illustrates that there are still species that dominate even though the evenness index of these plant species is not even. The level of diversity of understory plant species (H’) is classified as low, with a value of 0.637 for productive plants and 1.94 for non-productive plants (Vasilevich, 2009). The concept of species diversity includes the components of species richness and evenness. Species richness is the number of species per unit area, and evenness is the distribution of species abundance in a community. 

Corlett (2016) states that plant species continue to decline due to human activities in opening up areas, and most plant species are lost, especially in tropical regions. Wan et al. (2020) reported that 2.914 plant species showed no increase in species richness and an explicit decrease in plant species performance. Ensslin et al. (2015) reported that changes in nature and loss of native habitat cause a decline in plant species in area even though there are species that can survive and can invade other species such as Chromolaena odorata, which is a species of perennial shrub that grows abundantly in Asia and sub-Saharan Africa (Olawale et al., 2022). The level of evenness of a plant species generally depends on rainfall, variety, soil conditions and density of a plant species.

 

Table 4: Diversity of Types, Dominance, and Evenness of Plant Species in Immature Oil Palm Plantation Areas in Tanggetada District.

P

Pundaipa Village

Tinggo Village

Oneeha Village

N

H'

E

C

N

H'

E

C

N

H'

E

C

P1

151

3.1226

0.9371

0.0342

405

3.1217

0.9368

0.0312

168

3.0612

0.9187

0.0333

P2

149

2.5503

0.7011

0.0318

363

2.6204

0.7204

0.0324

162

2.5836

0.7103

0.0335

P3

172

2.9188

0.7860

0.0312

348

2.7551

0.7419

0.0299

185

2.8508

0.7677

0.0283

P4

167

2.3724

0.6476

0.0288

361

2.5886

0.7066

0.0279

146

2.2975

0.6271

0.0285

P5

164

2.5587

0.6936

0.0273

286

2.4443

0.6626

0.0349

185

2.6072

0.7068

0.0284

P6

116

1.6244

0.4824

0.0357

310

1.6798

0.4989

0.0342

180

1.4922

0.4432

0.0293

P7

149

1.7720

0.5733

0.0313

235

1.5161

0.4905

0.0463

155

1.3530

0.4377

0.0363

P8

130

2.0108

0.6101

0.0361

257

1.7732

0.5380

0.0436

469

1.7839

0.5413

0.0397

P9

122

2.0134

0.6180

0.0376

267

2.3404

0.7183

0.0398

379

1.9603

0.6017

0.0518

P10

156

2.0844

0.6475

0.0343

214

1.8366

0.5706

0.0506

342

1.7351

0.5390

0.0533

P11

146

1.7752

0.5327

0.0332

281

2.3429

0.7031

0.0426

297

1.4217

0.4267

0.0622

P12

162

1.2491

0.4103

0.0320

277

1.5339

0.5038

0.0374

334

1.1410

0.3748

0.0544

P13

156

1.5625

0.4917

0.0304

241

1.6941

0.5331

0.0443

319

1.0561

0.3323

0.0548

P14

118

1.9962

0.5928

0.0346

217

2.0505

0.6089

0.0481

337

2.0697

0.6147

0.0581

P15

167

1.3587

0.4463

0.0308

221

1.6828

0.5527

0.0497

328

1.4833

0.4872

0.0522

P16

164

1.6817

0.5224

0.0319

348

1.6413

0.5099

0.0327

285

0.9132

0.2837

0.0613

P17

164

1.7991

0.5820

0.0309

452

1.6698

0.5402

0.0274

419

1.5715

0.5084

0.0461

P18

131

2.0765

0.6167

0.0336

321

1.7525

0.5204

0.0299

447

1.7458

0.5185

0.0419

P19

159

1.6193

0.5164

0.0303

392

1.6563

0.5282

0.0301

572

1.8128

0.5781

0.0317

P20

174

1.4996

3.1355

0.0016

364

1.3066

3.1355

0.0701

355

1.2471

3.1355

0.0286

P21

244

2.5593

0.7525

0.0325

173

2.4936

0.7331

0.0359

438

2.2746

0.6688

0.0455

P22

258

2.0178

0.5992

0.0299

171

2.0622

0.6124

0.0327

402

2.0150

0.5984

0.0509

P23

205

2.5990

0.8408

0.0333

167

2.5054

0.8105

0.0319

363

2.2345

0.7229

0.0501

P24

243

2.2826

0.7897

0.0301

156

2.2466

0.7773

0.0348

373

1.9050

0.6591

0.0478

P25

227

2.3061

0.7355

0.0355

166

2.4907

0.7944

0.0335

352

2.0822

0.6641

0.0504

P26

228

2.3839

0.7830

0.0332

182

2.5383

0.8337

0.0320

374

2.4117

0.7921

0.0488

P27

226

2.0930

0.6281

0.0334

163

2.5085

0.7528

0.0356

361

1.8161

0.5450

0.0497

P28

227

2.5729

0.8451

0.0312

163

2.7279

0.8960

0.0340

445

2.1959

0.7213

0.0454

P29

267

2.3927

0.7859

0.0301

152

2.2489

0.7387

0.0339

420

2.4565

0.8068

0.0468

P30

176

2.2344

0.7031

0.0438

202

2.5259

0.7948

0.0294

409

2.4225

0.7623

0.0436

P31

244

2.2529

0.6690

0.0330

143

2.2522

0.6689

0.0376

322

2.3043

0.6843

0.0531

P32

248

2.1002

0.6898

0.0322

146

2.2041

0.7239

0.0377

330

2.2184

0.7287

0.0357

P33

271

2.4578

0.8204

0.0309

146

1.9078

0.6368

0.0376

380

2.1213

0.7081

0.0316

P34

239

2.4354

0.8784

0.0315

183

2.2887

0.8255

0.0310

401

2.3379

0.8432

0.0297

P35

279

2.2397

0.8078

0.0308

163

2.2082

0.7964

0.0349

403

2.1550

0.7772

0.0315

P36

251

2.2655

0.7329

0.0317

168

2.2851

0.7393

0.0362

365

2.0408

0.6602

0.0352

P37

258

2.2229

0.7549

0.0298

167

2.0206

0.6862

0.0313

396

1.9841

0.6738

0.0295

P38

230

1.9579

0.5238

0.0333

179

2.1772

0.5825

0.0329

319

1.7195

0.4600

0.0377

P39

241

2.0390

0.5455

0.0319

162

1.8268

0.4887

0.0321

385

1.8553

0.4964

0.0302

P40

236

2.4620

0.7388

0.0309

163

2.6075

0.7825

0.0352

355

2.4343

0.7305

0.0327

P41

296

2.0374

0.7049

0.0322

166

2.0163

0.6976

0.0303

396

2.2552

0.7802

0.0311

P42

340

2.4375

0.8791

0.0292

136

2.0887

0.7533

0.0359

395

2.4203

0.8729

0.0302

P43

293

1.8186

0.6176

0.0352

89

1.4641

0.4973

0.0441

365

1.6515

0.5609

0.0300

P44

294

2.3287

0.7909

0.0311

156

2.1585

0.7331

0.0307

411

2.3170

0.7869

0.0290

P45

349

2.5130

0.8870

0.0298

147

2.3968

0.8460

0.0345

373

2.3730

0.8376

0.0322

P46

317

2.1519

0.6771

0.0350

168

2.2092

0.6951

0.0315

389

2.4170

0.7605

0.0321

P47

368

2.6501

0.8233

0.0284

162

2.5543

0.7935

0.0330

446

2.6115

0.8113

0.0296

P48

363

2.1151

0.6746

0.0017

127

2.0738

0.6614

0.0620

390

2.3977

0.7647

0.0009

P49

271

2.2385

0.7139

0.0368

167

2.4407

0.7784

0.0295

313

2.1991

0.7013

0.0367

P50

316

2.1373

0.6284

0.0324

159

2.3711

0.6971

0.0300

424

2.1716

0.6385

0.0318

Information: P (Plot), P1,2,3,4,…... (Plot Point), N (Number of Species), H’ (Species Diversity Index), E (Dominance Index), C (Evenness Index), Source: Data Analysis Results, 2024.

 

Conclusions and Recommendataions

The study was conducted for eight months in six villages across Watubangga District (Kastura Village, Polenga Village, Kukutio Village) and Tanggetada District (Pundaipa Village, Oneeha Village, Tinggo Village). The study results showed that the dominant species varied in each village, including Panicum maximum (Jacq.) (Polenga Village, SDR: 3.4592%), Mikania micrantha Kunt. (Kastura Village, SDR: 3.6073%), Phymatodes sp. (Kukutio Village, SDR: 3.6183%), Nephrolepis bisserrata (Pundaipa Village, SDR: 3.6072%), Chromolaena odorata (L.) King (Tinggo Village, SDR: 3.9861%), and Asystasia coromandeliana Ness. (Oneeha Village, SDR: 3.5335%). The species diversity value (1<H’<3) at the six research locations is included in the moderate category, indicating a stable level of species diversity. Factors such as land clearing intensity, sunlight, and livestock footing activities that eat green fodder in the plantation area affect the vegetation composition in the research area.

Acknowledgements

With deep gratitude and appreciation, we thank the Rector of Halu Oleo University and the Head of the UHO Research and Community Service Institute (LPPM) for the moral support and facilities in carrying out this research. We also thank the Head of the Palm Oil Plantation Company, PT. Damai Jaya Lestari, thank you for the cooperation and access provided so that this research can run smoothly. We also appreciate the contribution of students who have helped in data collection and analysis and all the people who sincerely gave their time, information, and support during the research process. Hopefully, this collaboration will be the first step to contribute to the development of science and community welfare.

Novelty Statement

The novelty of this research lies in the specific analysis of immature oil palm plants in the research area. The focus on the diversity of local plant species growing around immature plants aims to provide a new perspective on the ecological and economic potential that has received little attention.

Author’s Contribution

Damhuri Damhuri: Acting as the principal researcher responsible for designing research, determining objectives and methodology, leading the implementation of field surveys, data analysis, and compiling the final research report.

La Ode Muh. Munadi: Plant species identification, biodiversity analysis, and field data collection.

Lili Darlian: Processing and statistical analysis of research data and interpretation of analysis results;

Sitti Wirdhana Ahmad: Aspects of documentation and scientific literature by conducting literature reviews, verifying plant-related data, and ensuring the quality and completeness of references in compiling research manuscripts.

Conflict of interest

There is no conflict of interest in this article’s research, writing or publication.

References

Abdi, A., A.T. Soejono and H.G. Mawandha. 2018. Weed Composition in TBM and TM Oil Palm Plantations in Kampar Regency, Riau Province. J. Agromast. 3(1):1–9.

Astarika, R., L.O. Nafiu., M. Pagala., D. Zulkarnain and L.O.M. Munadi. 2023. Sapi Bali Terintegrasi Perkebunan Kelapa Sawit, 1st Ed. Deepublish Digital, Yogyakarta, Indonesia.

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