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Ecosistemas 34(3): 2888 [September - December / septiembre - diciembre, 2025]: https://doi.org/10.7818/ECOS.2888

 

MONOGRAPHIC: Invasion ecology / MONOGRÁFICO: Ecología de las invasiones

Guest editors / Editores invitados: Jonatan Rodríguez y Luis González

 

RESEARCH ARTICLE  / ARTÍCULO DE INVESTIGACIÓN

 


Impact of alien grasses on the environment, biodiversity and crops in Iran

Sima Sohrabi1,* ORCID logo, Javid Gherekhloo2 ORCID logo, Jose L. Gonzalez-Andujar3 ORCID logo, Montserrat Vilà4,5 ORCID logo

 

(1)   Rice Research Institute of Iran (RRII), Rasht, Iran and leader of Iranian Invasive Plants Working Group.

(2)    Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

(3)    Instituto de Agricultura Sostenible (IAS-CSIC),14004 Cordoba, Spain.

(4)    Estación Biológica de Doñana (EBD-CSIC), 41092 Sevilla, Spain.

(5)    Department of Plant Biology and Ecology, University of Sevilla, Sevilla, Spain

 

* Corresponding author / Autor para correspondencia: Sima Sohrabi [simsoh@gmail.com] 

 

> Received / Recibido: 08/10/2024 – Accepted / Aceptado: 09/06/2025

How to cite / Cómo citar: Sohrabi, S., Gherekhloo, J., Gonzalez-Andujar, J.L., Vilà, M. 2025. Impact of alien grasses on the environment, biodiversity and crops in Iran. Ecosistemas 34(3): 2888. https://doi.org/10.7818/ECOS.2888  

Impact of alien grasses on the environment, biodiversity and crops in Iran

Abstract: The high number of alien grasses in Iran makes it necessary to prioritize species for mitigating their negative consequences on the environment and agricultural production. We classified 34 alien grasses in Iran based on the IUCN Environmental Impact Classification of Alien Taxa (EICAT-IUCN) to assess their risks on native species and mapped their distributions in Iran’s ecological zones. We also discussed their impacts on agriculture and management options. Rottboellia cochinchinensis, Paspalum distichum and Microstegium vimineum have the potential to cause massive impacts, while Cenchrus longispinus, Eragrostis curvula, Panicum repens, Paspalum urvillei, Cortaderia jubata and Phyllostachys reticulata can cause major impacts on native species. Competition, transmission of disease and ecosystem structural impact accounted for over 49% of the mechanisms leading to environmental impacts. The Fisher's exact test indicates a significant association between the EICAT-IUCN score and life cycle. Of the 23 grasses invading crops, 60% have infested rice fields; and P. repens, P. distichum, Paspalum dilatatum and Leptochloa chinensis have the highest potential impact on yield losses (>60% in some cases in worldwide). P. distichum and P. repens can have the greatest potential impacts on both the environment and agriculture. Conservation priorities must be established to address the potential environmental impacts caused by alien grass species in Iran.

Keywords: ecological zone; EICAT-IUCN; invasion risk; naturalized grasses; mechanisms of impact; plant competition

Impacto de las gramíneas invasoras en el medio ambiente, la biodiversidad y los cultivos en Irán

Resumen: El elevado número de gramíneas invasoras en Irán hace necesario priorizar las especies para mitigar sus consecuencias negativas sobre el medio ambiente y la producción agrícola. Clasificamos 34 gramíneas invasoras en Irán basándonos en la Clasificación de Impacto Ambiental de Taxones Exóticos (EICAT-IUCN) de la UICN para evaluar sus riesgos sobre las especies autóctonas y cartografiamos su distribución en las zonas ecológicas de Irán. También analizamos sus repercusiones en la agricultura y las opciones de gestión. Rottboellia cochinchinensis, Paspalum distichum y Microstegium vimineum pueden causar importantes repercusiones, mientras que Cenchrus longispinus, Eragrostis curvulaPanicum repens, Paspalum urvilleiCortaderia jubata y Phyllostachys reticulata pueden causar repercusiones importantes en las especies autóctonas. La competencia, la transmisión de enfermedades y el impacto en la estructura de los ecosistemas representaron más del 49 % de los mecanismos que provocan impactos ambientales. La prueba exacta de Fisher indicó una asociación significativa entre la puntuación EICAT-UICN y el ciclo de vida. De las 23 gramíneas que invaden los cultivos, el 60 % ha infestado los arrozales; y P. repensP. distichumPaspalum dilatatum y Leptochloa chinensis tienen el mayor impacto potencial en las pérdidas de rendimiento (>60 % en algunos casos). P. distichum y P. repens pueden tener los mayores impactos potenciales tanto en el medio ambiente como en la agricultura. Es necesario establecer prioridades de conservación para abordar los posibles impactos ambientales causados por las especies de gramíneas invasoras en Irán.

Palabras clave: zona ecológica; EICAT-UICN; riesgo de invasión; gramíneas naturalizadas; mecanismos de impacto; competencia entre plantas.


Introduction

Alien plants can have detrimental impacts on biodiversity, including the decline and local extinction of indigenous species (Vilà et al. 2010; Pyšek et al. 2012a; Pérez et al. 2022). Assessing their potential impacts is important to decision making and the application of successful management strategies (van Kleunen et al. 2018; Pyšek et al. 2020). The Poaceae family constitutes a high portion of the alien flora, for example in Japan (372 out of 1553), China (205 out of 14710), the Czech Republic (152 out of 1378), Italy (163 out of 1200), Belgium (118 out of 2500) (Pyšek et al. 2012b; Galasso et al. 2018; Lin and Ma 2022; Verloove 2023) and Iran (34 out of 311) (Sohrabi et al. 2023b). Generally, grasses possess traits that facilitate long-distance dispersal, establishment, colonization, and transformation of novel environments, and resilience to disturbance and drought (Linder et al. 2017; Bastida et al. 2021; Leal et al. 2022). Alien grasses with high seed production, long seed viability, fast seed germination, vegetative reproduction and low palatability have high potential to invade disturbed sites (Medeiros and Focht 2007). They have spread over large areas of natural ecosystems displacing native species owing to their aggressiveness and highly competitive ability (Damasceno and Fidelis 2020). Furthermore, alien grasses are an important threat to biodiversity conservation due to their resilience to global warming (some are C4 species) and potential for increasing fire risk (D’Antonio and Vitousek 1992).

One way to quantify the potential environmental impacts of alien plants is a standard approach for ranking alien species based on the damage they may cause in recipient areas (Nentwig et al. 2016; Blackburn et al. 2014; Vilà et al. 2019; Kumschick et al. 2020).The IUCN Environmental Impact Classification of Alien Taxa (EICAT-IUCN) is a scheme for classifying alien taxa in terms of the magnitude of their environmental impacts and the mechanism involved to prevent or limit their negative consequences (www.iucn.org). EICAT-IUCN proposes a global assessment where the category assigned to a species is based on the highest impact ever recorded or its highest current impact, observed anywhere (IUCN 2020a and b; Kumschick et al. 2024).

Grasses have also large economic impacts on agricultural lands (Milton 2004; Goggin et al. 2012; Follak and Essl 2012). For example, the rigid ryegrass (Lolium rigidum) infestation in southeastern Australia costs an estimated $93 million (AUD) per annum in grain loss and considerably more in control costs (Bajwa et al. 2021). Johnson grass (Sorghum halepense) is classified as an important weed in over 53 countries occurring in 30 different crops (Follak and Essl 2012; Peerzada et al. 2017), causing substantial crop yield loss (Klein and Smith 2021). There are 311 alien plants in Iran and the number is increasing every year (Sohrabi et al. 2023b; Sohrabi and Pagad 2024). A large proportion of alien plants in Iran are grasses (Sohrabi et al. 2023b), but information on their potential impact on both native species and crops is lacking. For example, Rottboellia cochinchinensis is present in the Khozestan province, (Dinarvnd and Ale-Bakhit 2013; Sohrabi et al. 2023a). This species is known worldwide for invading crops and disturbed habitats in tropical and subtropical regions (Funez et al. 2016). However, we do not know its potential impact in Iran and how it compares to that of other alien grasses present in the country. Overall, there is a lack on the impact of grass invasions in Iran. To contribute to filling this knowledge gap, the aim of this paper is to categorize alien grasses in Iran based on their environmental impacts by using the EICAT-IUCN classification, and furthermore, to assess potential impacts on agricultural production. We assumed that the life cycle, photosynthetic pathway, invasion status and distribution of the grass species in Iran´s ecological zones contribute to the severity of the impacts. We also discuss management options for alien grasses for both natural ecosystems and arable lands.

Methods

The selection of plants

Thirty-four alien grasses present in Iran were classified as casual, naturalized, and invasive based on their stage in the invasion process (Richardson et al. 2000; Sohrabi et al. 2023b). The potential environmental impacts of these species were assessed following the EICAT-IUCN guidelines, which consider 12 mechanisms of impact (IUCN 2020b; Volery et al. 2020). The severity of the impacts was categorized as minimal concern (MC), minor (MN), moderate (MO), major (MR), or massive (MV).

We obtained information on the environmental and agricultural impacts of the study of alien grasses from primary scientific literature related to their global alien range. Data on their distribution in Iran, habitat type, introduction pathways, and photosynthetic pathways were sourced from scientific journal articles, reports, books, book chapters (see references in Appendix), and online databases such as WIKTROP (Weed Identification and Knowledge in the Tropical and Mediterranean areas). The distribution of all alien grasses in Iran was assigned to one of the four ecological zones of the country (Fig. 1): (a) Hyrcanian zone: located in the north, with a temperate climate, it extends along the southern coast of the Caspian Sea and the northern part of the country; (b) Khalij-o-Omani zone: located in the south, covering an area of 2 130 000 ha, it is characterized by a sub-equatorial climate (Heshmati 2012); (c) Zagross zone: situated in the west, this mountainous region covers approximately 4 749 000 ha, characterized by a semi-arid climate and temperate winters; and (d) Iran-o-Touranian zone: dominated by the central Iranian plateau, this zone covers 1 648 000 km² and features a wide variety of climates, surrounded by mountain ranges.

Statistical analysis

A contingency table was used to analyze associations between EICAT-IUCN impact scores (harmful (MV, MR and Mo) and non-harmful (MN, MC and DD)) and variables such as species status (casual and naturalized invasive), life cycle (annual and perennial), and photosynthetic pathway (C3 and C4). Fisher's exact test was applied to identify significant relationships at 0.05 level. Statistical analyses were performed using R 4.3.0 (R Core Team 2022), and the packages ggplot2 (Wickham 2016) and ggpubr (Kassambara 2025) were used for data visualization.

Results

General characteristics of alien grasses

In Iran, there are 22 naturalized, 11 casuals, and one invasive alien grass species. Most of these grasses utilize the C4 photosynthetic pathway (27 species). The C4 pathway is strongly associated with successful naturalization in new areas. Among the 22 naturalized grasses, only Five species utilize the C3 pathway. By longevity, there is a similar number of perennial species (18) and annual species (17). Notably, only two of the 17 annual species use the C3 photosynthetic pathway. The Poaceae family, due to their seed size, is easily transported through different introduction pathways (Table 1). Approximately 19 species originate from tropical and temperate Asia, while seven are native to Africa and North America, respectively. In Iran, contamination (e.g. seed contamination) was identified as the primary pathway (56%) for the introduction of alien grasses. In most cases, the introduction in Iran has been accidental (14%), with a few exceptions involving deliberate releases, such as Bambusa vulgaris and Chrysopogon zizanioides.

Impact assessment based on EICAT-IUCN

Based on EICAT-IUCN framework, the most common impact scores for alien grasses in Iran were Minor (MN) and Major (MR); with 13 and seven species assigned to these categories, respectively. Seven species were classified as Data Deficient (DD). Among the 22 naturalized species, ten were rated MN, while five were categorized as MR (Table 1; Fig. 2). We identified the species Rottboellia cochinchinensis, Paspalum distichum, and Microstegium vimineum, as having Massive (MV) impacts. Of these, only R. cochinchinensis is invasive in Iran, while the others are naturalized. Additionally, Cortaderia jubata and Phyllostachys reticulata, which are casual grasses, exhibited major impacts (Fig. 2). Competition (23.5%) and transmission of disease (20%) were the most frequently reported mechanisms of impact for alien grasses. Structural impacts on the ecosystems, hybridization, and toxicity/poisoning were also common (Table 1). Fisher's exact test revealed that there is no evidence of an association between EICAT-IUCN scores and invasive status (p-value: 1, odds ratio=1.03), while the association between EICAT-IUCN scores and life cycle is considered to be statistically significant (p-value= 0.0.032, odds ratio=0.036). Various EICAT-IUCN scores had shown insufficient evidence to reject the null hypothesis and that there is no evidence of an association with photosynthetic pathways (p-value = 0.74, odds ratio=0.65), although all three grasses with MV score were C4 species.

Distribution of alien grasses in Iran

The proportions of alien grasses in Iran's ecological zones were 61.7% in the Hircanian, 41.1% in the Zagros, 26.4% in the Iran-o-Turonian, and 8.8% in the Kh-O-Omanian zone. The Hircanian ecological zone had the highest proportion of grasses with MN (47.6%) and MR (28.5%) impact scores. In contrast, 50% of the grasses in the Zagros zone had a Minor (MN) impact score, whereas no grasses with this score were recorded in the Kh-O-Omanian zone. The proportion of grasses classified as Data Deficient (DD) was higher in the Iran-o-Turonian zone than in others ecological zones (Fig. 1).

 

The distribution of 34 alien grasses in Iran along with their EICAT-IUCN scores

 

Figure 1. The distribution of 34 alien grasses in Iran along with their EICAT-IUCN scores. The graphs display the number of species classified under each EICAT category (DD - Data deficient, MC - Minimal concern, MN – Minor, MO – Moderate, MR – Major and MV – Massive).

Figura 1. Distribución de 34 gramíneas invasoras en Irán junto con sus puntuaciones EICAT-UICN. Los gráficos muestran el número de especies clasificadas en cada categoría EICAT (DD: datos insuficientes; MC: preocupación mínima; MN: menor; MO: moderada; MR: mayor y MV: masiva).

Table 1. List of 34 alien grass in Iran and their main characteristics and environmental impacts.

Tabla 1. Lista de 34 especies de gramíneas invasoras en Irán y sus principales características e impactos ambientales.

Plant name

Invasive status

Life cycle

Photosynthesis pathway

Origin

EICAT-IUCN mechanism (score)*

Pathway

Bambusa vulgaris Schrad. ex J.C.Wendl.

Naturalized

Perennial

C3

Tropical Asia, Africa

Competition (MR)

Escape and Release

Bromus catharticus Vahl

Naturalized

Annual

C3

Central America, South America

Competition (MN)

Contaminant

Calamagrostis decora Hook.f.

Naturalized

Perennial

C4/CAM

Temperate Asia

Transmission of diseases (DD)

Escape and Release

Cenchrus longispinus (Hack.) Fernald

Naturalized

Annual

C4

North America, Central America, South America

Competition (MR)

Contaminant

Chloris virgata Sw.

Naturalized

Annual

C4

North America

Transmission of diseases (MC)

Contaminant

Chrysopogon zizanioides (L.) Roberty

Casual

Perennial

C4

Tropical Asia

Structural impact on ecosystem (MO)

Escape and Release

Coix lacryma-jobi L.

Naturalized

Perennial

C4

Tropical Asia

Biofouling (MN)

Contaminant

Cortaderia jubata (Lemoine) Stapf

Casual

Perennial

C3 PACMAD

South America

Structural impact on ecosystem (MR)

Escape

Cynodon transvaalensis Burtt Davy

Naturalized

Perennial

C4

Africa

Transmission of diseases (DD)

Contaminant

Digitaria longiflora (Retz.) Pers.

Naturalized

Annual

C4

Africa, Tropical Asia

Transmission of diseases (DD)

Contaminant

Digitaria stricta Roth

Casual

Annual

C4

Tropical Asia

Transmission of diseases (DD)

Stowaway

Dinebra retroflexa (Vahl) Panz.

Naturalized

Annual

C4

Africa

Transmission of diseases (MN)

Contaminant and Stowaway

Diplachne fusca subsp. uninervia (J.Presl) P.M.Peterson & N.Snow

Casual

Annual

C4

South America, Central America

Competition (DD)

Contaminant

Echinochloa oryzoides (Ard.) Fritsch

Naturalized

Annual

C4

Tropical Asia

Poisoning/toxicity (MN)

Contaminant

Eragrostis curvula (Schrad.) Nees

Naturalized

Perennial

C4

Africa

Structural impact on ecosystem (MR)

Stowaway

Leersia oryzoides (L.) Sw.

Naturalized

Perennial

C3

Europe, Temperate Asia, North America

Chemical Impact on ecosystem (DD)

Contaminant

Leptochloa chinensis (L.) Nees

Naturalized

Annual

C4

Africa, Tropical Asia

Poisoning/toxicity (MN)

Contaminant

Microstegium vimineum (Trin.) A.Camus

Naturalized

Annual

C4

Temperate Asia

Competition (MV)

Stowaway

Oryza rufipogon Griff.

Naturalized

Annual

C4

Tropical Asia, Australasia

Hybridization (MN)

Contaminant and Stowaway

Oryza sativa L.

Casual

Annual

C4

Tropical Asia

Hybridization (MN)

Escape

Panicum capillare L.

Casual

Annual

C4

North America

Transmission of diseases (DD)

Contaminant

Panicum repens L.

Naturalized

Perennial

C4

Africa, Europe, Tropical Asia

Competition (MR)

Contaminant

Paspalum dilatatum Poir.

Naturalized

Perennial

C4

South America

Poisoning/toxicity (MN)

Contaminant

Paspalum distichum L.

Naturalized

Perennial

C4

North America, Central America, South America

Biofouling (MV)

Contaminant

Paspalum urvillei Steud.

Casual

Perennial

C4

South America

Structural Impact on ecosystem (MR)

Stowaway

Phyllostachys reticulata (Rupr.) K.Koch

Casual

Perennial

C3

Temperate Asia

Physical Impact on ecosystem (MR)

Escape

Rottboellia cochinchinensis (Lour.) Clayton

Invasive

Annual

C4

Africa, Tropical Asia

Structural Impact on ecosystem (MV)

Contaminant

Saccharum spontaneum L.

Casual

Perennial

C4

Tropical Asia, Africa, Australasia

Competition (MN)

Escape and Release

Setaria italica (L.) P.Beauv.

Naturalized

Annual

C4

Temperate Asia

Poisoning/toxicity (MN)

Contaminant

Setaria parviflora (Poir.) Kerguélen

Naturalized

Annual

C4

North America, Central America, South America

Poisoning/toxicity (MN)

Contaminant

Sorghum bicolor (L.) Moench

Casual

Perennial

C4

Africa

Poisoning/toxicity (MN)

Escape

Sporobolus virginicus (L.) Kunth

Naturalized

Perennial

C4

Africa, Tropical Asia, Australasia, Pacific Islands, Central America, North America, South America

Competition (MC)

Stowaway

Triticum turgidum subsp. durum (Desf.) Husn.

Naturalized

Annual

C3

Africa

 Hybridization (MN)

Release

Zoysia matrella (L.) Merr.

Casual

Perennial

C4

Tropical Asia, Pacific Islands

Hybridization (MC)

Escape

 

 

 

Invasion status and EICAT-IUCN impact score of 34 alien grasses in Iran. EICAT-IUCN ranking included data deficiency (DD), minimal (MC), minor (MN), moderate (MO), major (MR) or massive (MV) impact

 

Figure 2. Invasion status and EICAT-IUCN impact score of 34 alien grasses in Iran. EICAT-IUCN ranking included data deficiency (DD), minimal (MC), minor (MN), moderate (MO), major (MR) or massive (MV) impact. Two cases are subspecies: Triticum turgidum subsp. durum and Diplachne fusca subsp. Uninervia.

Figura 2. Estado de invasión y puntuación de impacto EICAT-UICN de 34 gramíneas invasoras en Irán. La clasificación EICAT-UICN incluyó datos insuficientes (DD), impacto mínimo (MC), menor (MN), moderado (MO), mayor (MR) o masivo (MV). Dos casos son subespecies: Triticum turgidum subsp. durum y Diplachne fusca subsp. Uninervia.

Impact of alien grasses on agricultural areas

Twenty-three of the 34 alien grass species identified in Iran are invading agricultural areas (Table 2). The majority of these species were observed in rice fields, comprising 14 species. Six species were observed in maize and sugarcane fields, while only five species were recorded in orchards and vineyards. The primary mechanisms of impact include competition with crops and serving as hosts for pests. Furthermore, some species exhibited herbicide resistance, allelopathic potential, and toxicity to animals (Table 2). We recorded thirteen alien weedy grass species in northern Iran, six in the southern region, with the remaining species distributed across central and eastern Iran (Table 2).

Table 2. Alien weedy grasses in Iran invading agricultural areas and their characteristics. See full Literature in Appendix.

Tabla 2. Las gramíneas invasoras de zonas agrícolas en Irán y sus características. Véase la bibliografía completa en el Apéndice.

Alien plant

(Family)

Infected crops and habitats

Impact mechanism

% field infestation or yield reduction

Recorded countries as weed and alien

Management

Distribution

in Iran

References

Bromus catharticus

(Poaceae)

Alfalfa, wheat and barley fields (winter crops)

Competition, herbicide resistance, host for pathogens, contaminant of wool, fire hazard

20% in winter crops

In more than 16 countries

Prevent seed set for 1-2 years. Chemical: In degraded areas use 10 ml/10 L glyphosate on seedlings, young plants or when flowering.

Khorramabad

Kloppers & Pretorius 1993;

Alucinio & Arturi 2002;

Dastgheib et al. 2003;

Poggio et al. 2004;

Hamzeh'ee et al. 2007;

Yanniccari et al. 2021

Cenchrus longispinus

(Poaceae)

Cereals, legume crops, vineyards, pastures

Competition, contamination of wool, dried fruit and lucerne hay, fire hazard

No data

18 crops in 35 countries

Chemical:

Glyphosate 360 g/L, MSMA 720 g/L

minimize tillage

Babolsar, Mazandaran

 

Anderson 1997;

Szigetvári 2002;

Naqinezhad 2012;

Soltani et al. 2009;

Verloove & Gullon 2012;

Strat et al. 2017

Chloris virgata

(Poaceae)

Mungbean, alfalfa, corn

Competition, herbicide resistance

Caused a total grain loss of 0.4 mt annually, resulting in a revenue loss of AUD 7.7 million.

In mungbean, about 50 C. virgata plants m−2 caused a yield loss of greater than 70%

In more than 70 countries

Chemical:

Atrazine and glyphosate

Zabol, Balouchestan

Termeh 2000;

Llewellyn et al. 2026;

Rachaputi et al. 2019;

Manalil et al. 2020;

Mahajan & Chauhan 2021

Cortaderia jubata

(Poaceae)

Environmental weed, cereal and rice

Competition

No data

In more than 5 countries

Chemical and Mechanical Methods

North of Iran

Lambrinos 2000;

Stanton & DiTomaso 2004;

Drewitz & DiTomaso 2004;

EPPO 2019

Digitaria longiflora

(Poaceae)

Rice, corn, sugarcane

 

Competition, herbicide resistance

host for pathogens

At its highest density it reduces yields by as much as 62%

In more than 15 countries

Integrated weed control systems*

Fars, Khouzestan

Galinato et al. 1999;

Lapierre & Signoret 2004

Dinebra retroflexa

(Poaceae)

Corn, cotton, sugar cane, rice

Competition, host for pathogens

No data

In more than 12 countries

 

Khozestan

 

 

Mozaffarian, 1994;

Lapierre & Signoret 2004; Tanji 2020

Diplachne fusca subsp. uninervia

(Poaceae)

On the edges of irrigation channels

Competition

It reduces yields by as much as 40%

In more than 12 countries

 

 

Chemical

Khuzestan

McIntyre et al. 1989;

Saito 2010;

Ghanbarpour et al. 2015;

Ebrahmi et al. 2017; Süveges et al. 2021; McIntyre et al. 2023

Echinochloa oryzoides

(Poaceae)

rice

Competition, herbicide resistance

Dense infestations of E. oryzoides can

cause more than 50% O. sativa yield loss if not controlled

In more than 190 countries

Integrated weed control systems*

Gilan

Hill et al. 1994;

Fischer, 2000;

Avarseji 2015;

Haghnama 2020;

Zand et al. 2019;

Pouramir & Yaghoubi 2021

Eragrostis curvula

(Poaceae)

Vineyards, horticultural crops and orchards

Competition, grazing, fire hazard

 

In more than 50 countries

Graze heavily while young and succulent

Khorasan

Johnston et al. 2005;

Firn 2009;

Firn et al. 2013, 2017

Godfree et al. 2017;

Brown et al. 2023

Leersia oryzoides

(Poaceae)

Rice fields

Competition, blocking canals and ditches, water quality and nutrients cycling

The reduction of yields various between 15 -20%

In 4 countries

Integrated weed control systems*

Gilan Bandar-e Anzatl

https://www.ikisan.com

Mozaffarian 1991;

Deaver et al. 2005;

Pierce et al. 2007, 2009;

Koontz & Pezeshki 2011

Leptochloa chinensis

(Poaceae)

Rice

Competition, host for pathogens

6-68% upon to weed density

In 5 country

Integrated weed control systems*

Khozestan

Pane et al. 1996;

Peng et al. 2020;

Dong et al. 2020;

IRRI. 2023;

Hayyat et al. 2023

Microstegium vimineum

(Poaceae)

The borders of ditches, forests

Competition, host for pathogens

No data

In more than 10 countries

Can be removed by hand-weeding, mowing, or by Chemicals: selective herbicides

Mazandaran,

Golestan, Gilan

Bor 1970;

Hamzeh'ee & Naqinezhad 2009;

Johnson et al. 2015;

Zhao & Brenner 2021

Oryza sativa f. spontanea Roshev.

(Poaceae)

Different rice cropping systems

Competition

At its highest density it reduces yields by as much as 50-60%

In more than 17 countries

Integrated weed control systems*

Gilan

Cao et al. 2007;

Galvin et al. 2020;

Takasi et al. 2021

Oryza rufipogon Griff.

(Poaceae)

Different rice cropping systems

Competition, hybridization

No data

 

 

Gilan

Gupta & Upadhyay 2000; Jamjod et al. 2005;

Na chiangmai & Phakatip 2011;

Amarasinghe et al. 2020

Panicum capillare

(Poaceae)

Corn, soybeans, sorghum, and wheat

Competition, poisoning/toxicity, host for pathogens

4–5% yield loss in corn and soybean at a weed density of 5 plants/m2

In more than 37 countries

Chemical Translocated herbicides

Ghazvin

Kingsbury 1964;

Rermeh 2000;

Clements et al. 2004;

Quinn et al. 2014;

Ontario Weed Committee 2021

Panicum repens

(Poaceae)

Perennial crops and rice

Competition, allelopathy, host for pathogens

at its highest density and without control it reduces yields by as much as 80%

In more than 12 countries

Deep tillage+ burnings in combination with herbicide applications Chemical: Quinclorac diclofop-methyl

Khuzestan, Golestan

Chandrasena & Peiris 1989;

Hossain 1996;

Hossain et al 1999;

Stephenson et al. 2006;

Akamine et al. 2007

Paspalum dilatatum

(Poaceae)

Rice

Competition, poisoning/toxicity, seed contaminants, blocking channels

30-50% rice reduction upon the density of weed

In more than 68 countries

Chemical: trifloxysulfuron, DSMA, MSMA, quinclorac

Mazandaran, Gilan, Tehran

Jacobo et al. 2009;

Ala et al. 2014;

Tejera et al. 2016;

Napier et al. 2016;

Nasseri 2016;

Golmohammadi et al. 2019;

Faghih et al. 2020;

Bondy et al. 2023;

Paspalum distichum

(Poaceae)

Pulses, maize, rice, root crops, and vegetable crops.

Competition, blocking channels, loss fish population

at its highest density it reduces yields by as much as 75-80%

In more than 57 countries

Can be controlled by 2 or 3 harrowings during land preparation for transplanted rice. Chemical: Glyphosate and butachlor reported to be effective.

Gilan, Mazandaran

Kumar & Mittal 1993;

Bernez et al. 2005;

Kojima et al. 2005;

Le et al. 2005;

Phuong et al. 2005;

Stroh 2006;

Faghih et al. 2020;

Ladmakhi-nezhad et al. 2023

Paspalum urvillei

(Poaceae)

sugarcane

Competition, host for pathogens, allelopathy

No data

In more than 30 countries

Slashing followed by Chemical treatment

Karaj

Jeffries et al. 2017;

Ghorbani et al. 2021

Rottboellia cochinchinensis

(Poaceae)

Soybean, corn, cotton, peanut, rice, and sugarcane

Competition, host for pathogens, allelopathy

20-70%

In more than 25 countries

IPM programs

/ Chemical: pre-emergence herbicide)

Khuzestan

Millholon 1992;

Meksawat & Pornprom 2010;

Bolfrey-Arku et al. 2011;

Correia 2016

Saccharum spontaneum

(Poaceae)

Tea, sugarcane, cotton and sorghum

Competition, host for pathogens, allelopathy, nutrients cycling

66%

In more than 8 countries

Tillage+ Chemical (pre-emergence herbicide)

Mazanadran

Waterhouse 1994;

Holm et al. 1997;

Bonnett et al. 2014

Setaria italica

(Poaceae)

Border of crop field

Competition, poisoning/toxicity, host for pathogens, hybridization

No data

In more than 100 countries

Chemical: (EPTC)

Birjand,

Kerman, Yazd, and Isfahan, Mazandaran, Khorasan

Dawson 1978;

Darmency et al. 1978; Dekker 2003;

Abbaspoor et al. 2020

Setaria parviflora

(Poaceae)

Pasture and cereals, alfalfa, sod, lawn seed, rice and vineyards

Competition

at its highest density it reduces yields by as much as 40%

In more than 43 countries

Using a strimmer in the spring to remove seed heads before they are viable can suppress its reproductive potential

Mazandaran

Doust & Kellogg 2002;

Austin 2006;

Dyer et al. 2022

*Management in rice: Integrated weed control systems, involving the use of certified seed (or good quality weed-free seed), good land preparation, the use of stale seedbeds to encourage weed germination before seeding, careful crop and water management, herbicides and crop rotation are needed. In crop rotation, rice may be rotated with other crops in alternate seasons and an appropriate herbicide can be used to destroy weedy rice seedlings in these crops.

Discussion

General characteristics of alien grasses

Alien grasses contribute 13%, 9%, and 7.6% to the total number of naturalized, casual, and invasive alien plants in Iran, respectively (Sohrabi et al. 2023b). The proportion of naturalized grasses in Iran is comparable to findings from other studies in China (Lin and Ma 2022) and worldwide (Pertierra et al. 2023). The faster growth rates and larger sizes of C4 species enhance their establishment success compared to C3 species (Jia et al. 2016). Spartina alterniflora invasion, a perennial C4 grass in China, has been linked to its rapid growth and ability to stabilize tidal flats (Cheng et al. 2006). The worse invasive alien grasses have C4 photosynthetic pathway (GISD 2013). For example, Cenchrus spinifex is one of the foremost invasive C4 grass in Hungary (Botta-Dukát and Balogh 2008). Numerous studies have highlighted the successful establishments of the perennial grasses from temperate-tropical regions due to their higher competitive ability in warm climates (Hacker and Dethier 2006; Lopes et al. 2023). In our study, most C3 grasses were perennial. The rapid spread of these species, whether by seed or vegetative propagation; facilitates their invasion into disturbed areas, such as the Cerrado in Brazil (Zenni et al. 2020). In addition, Seed contamination as the primary pathway of new introduction is consistent with findings in Europe (Poschlod et al. 2009).

Impact assessment based on EICAT-IUCN

Among different mechanisms competition is well documented, while other mechanisms, such as hybridization and biofouling, are more challenging to assess due to indirect evidence and complex data interpretation (Foxcroft et al. 2019). For example, detecting hybridization impacts requires molecular research, which is costly and more time-consuming compared to evaluating allelopathy or competition (Gioria and Osborne 2014; Kalisz et al. 2021). Phenolic acids are the main identified allelochemicals (67%) in the Poaceae family (Favaretto et al. 2018). In addition to irritating trichomes on the leaf sheaths of R. cochinchinensis, its phytotoxic effects on adjacent plants specie cause reduced growth of seedlings (Meksawat and Pornprom 2010). Changes in disturbance regimes and natural succession have been reported for grasses like Chrysopogon zizanioides, due to their root system in upper horizons of the soil (Eab et al. 2015; Freschet and Roumet 2017; Badhon et al. 2021). The transmission of disease is another significant mechanism, and the importance of grasses species in transmitting endophytic fungi is well known (Lapierre and Signoret 2004; Yuan et al. 2010). For example, Bipolaris gigantea, a foliar fungal pathogen in alien Microstegium populations, had significant impact on biomass responses of three native North American grass species (Kendig et al. 2021); and Xylella fastidiosa, a widespread bacterial pathogen of olives, almond and citrus, can be transmitted indirectly (xylem-feeding insects) by alien grasses (Najberek et al. 2022).

Distribution of alien grasses in Iran

The highest number of naturalized and invasive plants in the Hircanian ecological zone is attributed to its favorable environmental conditions and high population density (Sohrabi et al. 2023a). Biodiversity hotspots with high environmental and economic value are at the greatest risk of biological invasions and should therefore be prioritized for invasive species management (Li et al. 2016; Yang et al. 2023). The Caspian forests, located in the Hircanan zone and recognized as a UNESCO World National Heritage site (UNESCO 2019), are a critical area in Iran that requires attention as a potential hotspot for biological invasion. Rottboellia cochinchinensis was found in the Zagros zone and it is the only invasive grass species recorded in Iran. With a high seed production potential of over 3000 seeds per plant, immediate action is essential to curb its rapid spread (Dinarvnd and Ale-Bakhit 2013). Understanding the ecological zones most vulnerable to invasion is crucial for predicting the threats posed by alien plant invasions (Sohrabi and Gherekhloo 2015). Effective management strategies can be better formulated and implemented by combining distribution data with environmental impact scores (Panda et al. 2017; Sohrabi et al. 2023a).  The agricultural lands and ruderal areas are frequently cited as the primary habitats invaded by alien plants (Gaertner et al. 2017; Sohrabi et al. 2023b; Potgieter et al. 2024). However, it is worth highlighting that many cultivated alien grasses have significantly contributed to agricultural production and economic development (Randriamampianina et al. 2024). For instance, Sorghum bicolor and Cortaderia jubata have been introduced to Iran as crops and ornamental plants, respectively. Globally, Echinochloa oryzoides and Setaria italica are among the most commonly encountered weedy grass species. Their frequent occurrence can be attributed to their remarkable adaptability to various environmental stressors, such as flooding, drought, and salinity (Mohammadvand et al. 2012; Lapuimakuni et al. 2018; Kaya-Altop et al. 2019; Nisa and Jadid 2021). Among the most damaging species in agricultural areas are P. repens, P. distichum and L. chinensis, which pose a significant threat to crop production, potentially causing yield losses of up to 60% (Hossain et al. 2001; Kojima et al. 2005; Hayyat et al. 2023). Paspalum distichum infestation has been reported in perennial crops throughout Spain, where it threatens olive and vineyard production (Costa 1997). The introduction of P. distichum for pasture purposes has increased its potential to invade, particularly arid regions, and its impact extends to river flora and the integrity of river systems in Portuguese floodplains (Bernez et al. 2005; Driscoll et al. 2014). Similarly, the negative impact of P. repens has been extensively documented in agricultural areas and native plant communities in the USA, where its management in flood control systems for Florida’s citrus groves alone costs $2 million annually (Cuda et al. 2007; Langeland and Burks 2022). Leptochloa chinensis is a serious weed in the direct-seeded rice crop, causing substantial yield reductions at high densities due to its competitive ability, which is attributed to its C4 photosynthesis pathway and increased biomass production rate (Benvenuti et al. 2003; Sage et al. 2012; Deng et al. 2021). In total, there are 25 predominant weedy grass species found across various agricultural lands in Iran, of which seven species, accounting for 28%, are alien (Mozafarian 2021; Sohrabi et al. 2023b, 2024). Therefore, a better understanding of the portion of alien grasses in the weed flora and their impact can benefit and improve the ecological sustainability of crop production systems.

Management of alien grasses

Certain interventions can reduce the propagule pressure and the likelihood of establishment and spread of newly introduced alien grasses (Perrings et al. 2005; Simberloff 2009; Siddiqui et al. 2022). Strategies such as limiting contamination vectors, monitoring pathways for target grasses, controlling contaminants, and adopting long-term approaches have been suggested as the most effective methods for managing invasive grasses in specific areas (Pyšek et al. 2011; Gentili et al. 2021; Rudell et al. 2023). However, we highlight that the most accurate management options will depend on the infested habitat (natural areas or agricultural lands) and the life cycle of the species (annual or perennial). In natural areas, the most effective control methods often involve an integrated approach that include burning, mowing, hand clearing, and herbicides application (Marushia and Allen 2011). In agricultural areas, effective control typically involves the use of certified seeds, proper land preparation, stale seedbeds to promote weed germination prior to seeding, careful crop and water management, herbicides, and crop rotation (Milton 2004; Zand et al. 2017; Khasraw et al. 2023; Gherekhloo et al. 2020; Siddiqui et al. 2022).

The application of herbicides is a widely used strategy for managing invasive plant species, particularly in agricultural systems. However, the continuous and intensive use of these chemicals has resulted in the emergence of herbicide-resistant weed populations, posing significant challenges to crop productivity and sustainability (Hassanpour-bourkheili et al. 2024; Heap 2024). To achieve complete control of P. repens in naturally infested fields often requires multiple applications of methyl sulfanilylcarbamate (a dihydropteroate synthase inhibitor), as plowing-induced rhizome fragmentation disperses the weed across various soil layers, complicating eradication (Hossain 2001). In paddy fields in Rasht, Iran, bensulfuron-methyl, an acetolactate synthase inhibitor, has demonstrated higher efficacy in controlling Echinochloa oryzoides (Pouramir and Yaghoubi 2020). In USA rice fields, Leptochloa chinensis and P. distichum have evolved herbicide resistance due to the repeated application of a single herbicide or herbicides group (Chauhan et al. 2012). To manage P. distichum and mitigate the risk of glyphosate resistance, the integration of herbicides with different modes of action has been recommended (Alcantara et al. 2016).

As a sustainable alternative to herbicides, biological control methods have been suggested, including the use of grazing animals such as rabbits, goats, sheep, and ducks, as well as cover crops and intercropping. These approaches have been explored for managing invasive species like Paspalum repens, P. distichum, and Rottboellia exaltata in turmeric fields (Prabhakaran Nair 2013).

Relying on a single control tactic may be insufficient for effectively managing invasive plant species, particularly given the high reproductive potential and dispersal ability of certain species. In this context, Integrated Weed Management (IWM) presents a promising strategy for controlling and mitigating the impact of invasive species in both agricultural and natural ecosystems (Gonzalez-Andujar 2023).

Conclusion

This study, based on the EICAT-IUCN assessment, highlights the significant impact potential of several alien grass species in Iran, including Rottboellia cochinchinensis, Paspalum distichum and Microstegium vimineum. These species primarily affect ecosystems through competition, disease transmission, and structural alterations. The prioritization of management efforts should be guided by these findings, particularly for P. distichum and Panicum repens which pose substantial threats to biodiversity and agricultural productivity. The highest number and impacts of alien grasses in Iran were found in the Hircanian zone, followed by the Iran-o-Turanian zone.

Notably, a correlation between EICAT-IUCN score and life cycle underscores the critical role of perennial and species in driving environmental impact. Given the prevailing warming conditions, it is crucial to focus on the introduction and management of alien C4 perennial grasses in Iran. Effective management of strategies will depend on the life cycle of the species and the nature of the invaded habitat, though the most successful approaches typically involve a combination of methods.

Data Availability

More information is available in Appendix and raw data will be presented upon reasonable request to the corresponding author.

Financing, required permits, potential conflicts of interest and acknowledgments

Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran supported this research (project no. GAU-03-508-20). We would like to thank Sabrina Kumschick for her valuable suggestions. The authors are grateful to anonymous reviewers for their valuable comments that greatly enhanced this work.

The authors declare that they have no conflicts of interest.

Authors' contribution

SS, JG, JLG-A, MV, designed the study; SS collected the data; SS analyzed the data; SS led the writing of the manuscript, and all authors contributed critically to the drafts and gave final approval for publication.

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Appendix / Anexo

Literature on the environmental and agricultural impacts of alien grasses species in Iran cited on Table 2.

Bibliografía sobre los impactos medioambientales y agrícolas de las especies de gramíneas invasoras en Irán citadas en la Tabla 2.

Bromus catharticus Vahl

Aulicino, M.B., Arturi, M.J. 2002. Phenotypic diversity in Argentinean populations of Bromus catharticus (Poaceae). Genetic and environmental components of quantitative traits. New Zealand Journal of Botany 40, 223–234. https://doi.org/10.1080/0028825X.2002.9512785

Dastgheib, F., Rolston, M., Archie, W. 2003. Chemical control of brome grasses (Bromus spp.) in cereals. New Zealand Plant Protection 56, 227–232. https://doi.org/10.30843/nzpp.2003.56.6096

Hamzeh'ee, B., Alemi, M., Attar, F., Ghahreman, A. 2007. Bromus catharticus and Bromus danthoniae var. uniaristatus (Poaceae), two new records from Iran. The Iranian Journal of Botany 13(1), pp. 33-36.

Kloppers, F.J., Pretorius Z.A. 1993. Bromus catharticus: A new host record for wheat stem rust in South Africa. Plant Disease 77: 1063. https://doi.org/10.1094/PD-77-1063B

Poggio, S.L., Satorre, E.H., de la Fuente, E.B. 2004. Structure of weed communities occurring in pea and wheat crops in the rolling Pampa (Argentina). Agriculture, Ecosystems & Environment 103, 225–235. https://doi.org/10.1016/j.agee.2003.09.015

Yanniccari, M., Vázquez-García, J.G., Gómez-Lobato, M.E., Rojano-Delgado, A.M., Alves, P.L.C.A., De Prado, R. 2021. First Case of Glyphosate Resistance in Bromus catharticus Vahl.: Examination of Endowing Resistance Mechanisms. Frontiers in Plant Science 12:617945. https://doi.org/10.3389/fpls.2021.617945

Cenchrus longispinus (Hack.) Fernald

Anderson, R. 1997. Longspine Sandbur (Cenchrus longispinus) Ecology and Interference in Irrigated Corn (Zea mays). Weed Technology 11(4), 667-671. https://doi.org/10.1017/S0890037X00043220

Naqinezhad, A.R. 2012. Cenchrus longispinus (Poaceae), a new record from coastal sands of Caspian Sea (N Iran)', Rostaniha 13(2), pp. 211-214. https://doi.org/10.22092/botany.2013.101338

Soltani, N., Kumagai, M., Brown, L., Sikkema, P.H. 2009. Long-spine sandbur [Cenchrus longispinus (Hack. in Kneuck.) Fernald] control in corn. Canadian Journal of Plant Sciences 90, 241–45. https://doi.org/10.4141/CJPS09132

Strat, D., Stoyanov, S., Holobiuc, I. 2017. The occurrence of the alien plant species Cenchrus longispinus on the Danube delta shore (Northwest black sea coast), threats and possible impacts on the local biodiversity. – Acta Horti Botanici Bucurestiensis 44: 17-31.

Szigetvári, C. 2002. Distribution and phytosociological relations of two introduced plant species in an open grassland in the Great Hungarian Plain. Acta Botanica Hungarica 44, 163–83. https://doi.org/10.1556/ABot.44.2002.1-2.12

Verloove, F., Sanchez Gullon, E. 2012. A taxonomic revision of non-native Cenchrus S.str. (Paniceae, Poaceae) in the Mediterranean area. Willdenowia 42, 67–75. https://doi.org/10.3372/wi.42.42107

Chloris virgata P. Durand

Llewellyn, R.S., Ronning, D., Ouzman, J., Walker, S., Mayfield, A., Clarke, M. 2016. Impact of Weeds on Australian Grain Production: The Cost of Weeds to Australian Grain Growers and the Adoption of Weed Management and Tillage Practices. 2016. Report for GRDC. CSIRO; Kingston, ACT, Australia. Available at: https://grdc.com.au/resources-and-publications/all-publications/publications/2016/03/impactofweeds

Mahajan, G., Chauhan, B.S. 2021. Evaluation of Preemergent Herbicides for Chloris virgata Control in Mungbean. Plants 10, 1632. https://doi.org/10.3390/plants10081632

Manalil, S., Mobli, A., Chauhan, B.S. 2020. Competitiveness of windmill grass (Chloris truncata) and feathertop Rhodes grass (Chloris virgata) in mungbean (Vigna radiata). Crop and Pasture Science 71, 916–923. https://doi.org/10.1071/CP20092

Rachaputi, R.C.N., Sands, D., McKenzie, K., Agius, P., Lehane, J., Seyoum, S. 2019. Eco-physiological drivers influencing mungbean Vigna radiata (L.) Wilczek productivity in subtropical Australia. Field Crops Research 238, 74–81. https://doi.org/10.1016/j.fcr.2019.04.023

Termeh, F. 2000. New Records of the family Graminaeae from Iran. Rostaniha 1(1), pp. 43-62.

Cortaderia jubata (Lemoine) Stapf

Drewitz, J.J., DiTomaso, J.M. 2004. Seed biology of jubatagrass (Cortaderia jubata). Weed Science 52, 525–530. ttps://doi.org/10.1614/WS-03-081R

EPPO. 2019. Cortaderia jubata (Lemoine ex Carrière) Stapf. EPPO Bulletin 49: 67–72. https://doi.org/10.1111/epp.12549

Lambrinos, J. G. 2000. The Impact of the Invasive Alien Grass Cortaderia Jubata (Lemoine) Stapf on an Endangered Mediterranean-Type Shrubland in California. Diversity and Distributions 6 (5): 217–31. http://www.jstor.org/stable/2673380 

Stanton, A.E., DiTomaso, J.M. 2004. Growth response of Cortaderia selloana and Cortaderia jubata (Poaceae) seedlings to temperature, light and water. Madroño 51, 312–321.

Digitaria longiflora (Retz.) Pers.

Galinato, M. I., Moody, K., Piggin, C. M. 1999. Upland Rice Weeds of South and Southeast Asia. International Rice Research Institute, Makati City (Philippines). 156 p.

Lapierre, H., Signoret, P.A. 2004. Viruses and Virus Diseases of Poaceae (Gramineae). Editions INRA, Paris, France. 857 p. Available at: https://www.quae.com/extract/2218

Dinebra retroflexa (Vahl) Panz.

Lapierre, H., Signoret, P.A. 2004. Viruses and Virus Diseases of Poaceae (Gramineae). Editions INRA, Paris, France. 857 p. Available at: https://www.quae.com/extract/2218

Mozaffarian, V. 1994. Studies on the flora of Iran, new specie and new records. The Iranian Journal of Botany 6(2), pp. 235-244. https://doi.org/10.22092/ijb.2015.103309

Tanji A. 2020. Notes about two summer annual grass weeds in Morocco: Dinebra retroflexa and Cenchrus longispinus (Poaceae). Flora Mediterranea 30: 113-119. https://doi.org/10.7320/FlMedit30.113

Diplachne fusca (L.) P.Beauv. ex Roem. & Schult.

Ghanbarpour, N., Zand, E., Sajedi, N. 2015. Efficacy of post-emergence herbicide for managing Diplachne fusca in sugarcane field. Canadian Journal of Basic and Applied Sciences 03(04), 108-117.

Shu-zhong, Y., Yong-rui, C., Zhi-ming, X., Jing-xuan, C., Yue-yang, C., Wei D. 2022. Influences of Diplachne fusca L.Beauv. on growth and yield traits of rice and its eco-economic threshold[J]. Hubei. Agricultural Science 61(6): 69-75.

McIntyre, S., Mitchell, D.S., Ladiges, P.Y. 1989. Germination and seedling emergence in Diplachne fusca: a semi-aquatic weed of rice fields. La Trobe. Journal contribution. https://doi.org/10.26181/22275232.v1

Ebrahmi, A., Ovisi M., Zand, E. 2017. Influence of environmental factors on seed germination and seedling emergence of Leptochloa fusca. Iranian Weed Science congress 2017.

Süveges, K., Molnár, A.V., Mesterházy, A., Budai, J.T., Réka, F. 2021. Emergence of a new salt-tolerant alien grass along roadsides? Occurrence of Diplachne fusca subsp. fascicularis (Poaceae) in Hungary. Acta Botanica Croatica 80 (2), 140-145. https://doi.org/10.37427/botcro-2021-014

Saito, K. 2010. Weed pressure level and the correlation between weed competitiveness and rice yield without weed competition: An analysis of empirical data. Field Crop Research 117, 1–8. https://doi.org/10.1016/j.fcr.2010.02.009

Echinochloa oryzoides (Ard.) Fritsch

Avarseji, Z. 2015. Characterizing the competitive traits of watergrass (Echinochloa oryzoides) as a new-introduced, and barnyardgrass (E. crus-galli) as a common weed species in rice. Journal of Plant Production Research 22(3), pp. 224-241.

Fischer, A., Ateh, C., Bayer, D., Hill, J. 2000. Herbicide-resistant Echinochloa oryzoides and E. phyllopogon in California Oryza sativa fields. Weed Science 48(2), 225-230. https://doi.org/10.1614/0043-1745(2000)048[0225:HREOAE]2.0.CO;2

Haghnama, K., Mennan, H. 2020. Herbicide resistant barnyardgrass in Iran and Turkey. Planta Daninha [Internet].;38:e020227592. Available from: https://doi.org/10.1590/S0100-83582020380100060

Hill, J. E., Carriere, M.D., Cook, J.F., Butler, T.D., Lana, P.J., Hare, J. 1994. Londax resistance management strategies for California rice. In: Proceedings of the California Weed Conference, v. 46., pp. 180–185 Freemont, CA, USA.

Pouramir, F., Yaghoubi, B. 2021. Biology and management of the invasive (Echinochloa oryzoides (Ard.) Fritsch) and common (Echinochloa crus-galli (L.) Beauv.) barnyardgrass in paddy field. Iranian Journal of Weed Science 17(1), pp. 71-84. https://doi.org/10.22092/ijws.2020.128351.1357

Zand, E., Baghestani, M.A., Nezamabadi, N., Shimi, P, Mousavi, S.K. 2019. A guide for herbicides in Iran. University Press Center, 216pp. [In Persian]

Eragrostis curvula (Schrad.) Nees

Brown, J., Merchant, A. & Ingram, L. 2023. Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system. Scientific Reports 13, 16603. https://doi.org/10.1038/s41598-023-43667-w

Firn, J. 2009. African lovegrass in Australia: a valuable pasture species or embarrassing invader? Trop Grassl 43:86–97

Firn, J., Price, J.N., Whalley, R. D. 2013. Using strategically applied grazing to manage invasive alien plants in novel grasslands. Ecological Processes 2: 26. https://doi.org/10.1186/2192-1709-2-26

Firn, J., Ladouceur, E., Dorrough, J. 2017. Integrating local knowledge and research to refine the management of an invasive non-native grass in critically endangered grassy woodlands. Journal of Applied Ecology 55. https://doi.org/10.1111/1365-2664.12928 

Godfree, R., Firn, J., Johnson, S., Knerr, N., Stol, J., Doerr, V. 2017. Why non-native grasses pose a critical emerging threat to biodiversity conservation, habitat connectivity and agricultural production in multifunctional rural landscapes. Landscape Ecology 32. https://doi.org/10.1007/s10980-017-0516-9 

Johnston, W.H., Cornish, P.S., Shoemark, V.F. 2005. Eragrostis curvula (Schrad.) Nees. complex pastures in southern New South Wales, Australia: a comparison with Medicago sativa L. and Phalaris aquatica L. pastures under rotational grazing. Animal Production Science 45:401–420. https://doi.org/10.1071/EA03117

Leersia oryzoides (L.) Sw.

Deaver, E., Moore, M.T., Cooper, C.M., Knight, S.S. 2005. Efficiency of three aquatic macrophytes in mitigating nutrient runoff. International Journal of Ecology and Environmental Sciences 31: 1–7.

Koontz, M.B., Pezeshki, S.R. 2011. Rice cutgrass growth as affected by simulated flooding and water nitrogen concentration under greenhouse conditions. Journal of Soil and Water Conservation 66: 329–336. https://doi.org/10.2489/jswc.66.5.329

Mozaffarian, V. 1991. New Species and new plant records from Iran. The Iranian Journal of Botany 5(1), pp. 29-39.

Pierce, S., Pezeshki, S.R., Moore, M.T. 2007. Ditch plant response to variable flooding: A case study of Leersia oryzoides (rice cutgrass). Journal of Soil and Water Conservation 62: 216–225. https://doi.org/10.1080/00224561.2007.12435955

Pierce, S.C., Pezeshki, S.R., Larsen, L., Moore, M.T. 2009. Hydrology and species-specific effects of Bacopa monnieri and Leersia oryzoides on soil and water chemistry. Ecohydrology 2: 279–286. https://doi.org/10.1002/eco.54

Leptochloa chinensis (L.) Nees

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