Abstract
Plants native to the United States, defined as those being present before European settlement, have aesthetic and environmental benefits. In 2018, only 10% of plant sales were native plants, a plant category that tends to be underrepresented in many residential and commercial landscapes. Although earlier research indicated that consumers find native plants less aesthetically appealing relative to introduced species, more recent research reported a growing demand for native plants. Thus, a better understanding of consumer perceptions would facilitate their marketing. We used an online survey of 1824 participants representing five geographic regions (West, Southwest, Midwest, Southeast, and Northwest) to classify adopters based on their purchase of native plants. A double-hurdle model was used to estimate factors influencing purchasing native plants among US homeowners, and the factors influencing the amount spent on native plants in 2021. Demographically, metropolitan, college-educated, and younger participants were more likely to be native plant adopters; they also spent 80% more on plants compared with nonnative plant adopters. More native plant adopters agreed that native plants were better for the environment than exotic plants (68%), are readily available in their area (67%), and are better adapted to difficult sites (75%). Marketing efforts should capitalize on the environmental benefits to stimulate purchases.
In the United States, native plants are defined as plants that were present before European settlement and have evolved and occur naturally in a particular region, ecosystem, and habitat. As a result, native plants are often associated with numerous ecological and production benefits, including reduced inputs (i.e., fertilizer, irrigation, pesticides), improved biodiversity, and increased pollinator foraging and habitat sources (Rodriguez et al. 2017; Shaw et al. 2017; Van Heezik et al. 2020). If properly managed and planted, gardens and landscapes with native plants could serve as “wildlife corridors” in urban areas (Rudd et al. 2002), which could aid ecological health, biodiversity, and wildlife habitat (Breuste 2004; Goddard et al. 2010; Grimm et al. 2008; Raymond et al. 2019).
In developed countries, residential landscapes are predominately nonnative species (Burghardt et al. 2009) that have often been deliberately introduced for ornamental purposes (Mack and Erneberg 2002; Randall and Marinelli 1996). Currently, native species are underrepresented in the landscape and garden center industry, but the demand for native plants is expected to increase (Kauth and Perez 2011). Shaw et al. (2017) and Gillis and Swim (2020) found that a major segment of consumers view native plants as aesthetically appealing. In turn, consumers’ positive perceptions of the beauty of native plants positively affect their intent to purchase native plants (Gillis and Swim 2020). Regarding proenvironmental behavior, several studies have established a positive correlation between environmental knowledge and purchase likelihood for native plants (Narem et al. 2018) or positive perceptions of native plants (Shaw et al. 2017). Yet, consumer motivations for purchasing native plants are not clearly understood. Moreover, consumers are heterogeneous, and this heterogeneity is driven by social norms, beliefs, and perceptions that tend to change by geographic zone.
Consumer perceptions studies on native plants have addressed the relationship between social norms, aesthetic considerations, proenvironmental behavior, and native plant preferences (Gillis and Swim 2020; Rodriguez et al. 2017; Shaw et al. 2017; Van Heezik et al. 2020). Beck et al. (2002) found that native plants were not considered as aesthetically pleasing as other options and that there was a strong need for natives to imitate traditional definitions of aesthetically pleasing landscape plants. These trends suggest that retailers who understand consumer purchasing behavior of native plants will be better poised to promote their purchase and thus increase overall sales. This survey aimed to discover 1) the factors influencing purchasing native plants among US homeowners, and 2) the factors influencing the amount spent on native plants in 2021.
Literature review
The native plant literature can be split into two broad categories: production-related and consumer behavior research. The production literature focuses on the availability of native plants within the market and ecological benefits of native plants. The latest report showed that, in the United States, ∼841 vendors sell native plants and there are ∼6500 native vascular plant species commercially available (White et al. 2018). In 2018, native plants comprised 10% of all ornamental plant sales in the United States (Khachatryan et al. 2020). Kauth and Perez (2011) identified several barriers to native plant production including limited seed or propagule sources, low availability of desired species, low education (industry and customer) on native plants, and consumer confusion and lack of familiarity with native species. A review article by Wilde et al. (2015) identified the need for more native species that are ecologically functional and economically viable. There is a clear need for the environmental benefits of native ornamental plants to be highlighted in retail promotions as value-added traits that may attract and engage environmentally conscious customers (Wilde et al. 2015). For instance, native plants have been shown to benefit more pollinator insect species than introduced species (Zaninotto et al. 2022), particularly specialist bee (super family, Apoidea) species (Cecala and Wilson Rankin 2021). Identifying value-added traits (e.g., ecological benefits) has the potential to justify higher price points to customers, which is important given that native plants tend to be more expensive to grow than introduced species (Norcini 2006). Fortunately, price does not seem to be the most important plant characteristic among customers buying native plants (Brzuszek and Harkess 2009).
Consumer behavior literature focuses on marketplace acceptance and valuation. Historically, native plants were difficult to promote because they did not fit society’s definition of an aesthetically pleasing landscape (e.g., turfgrass-dominant lawns) (Beck et al. 2002). However, a more recent study by Shaw et al. (2017) determined that homeowners perceive natives as aesthetically appealing and have interest in planting native species with a heightened interest in those plants that encourage wildlife. The shift in perception of the aesthetics of native plants is particularly beneficial given that it positively impacts intent to purchase and installation behaviors for residential yards (Gillis and Swim 2020). In fact, social norms have a strong influence on front yard landscape preferences (Gillis and Swim 2020). Supporting evidence from other studies suggests that promoting native plant benefits to wildlife (Van Heezik et al. 2020) and improving biodiversity in traditional agronomic systems (Shelef et al. 2017) has great potential to encourage native plant sales.
Often literature on native plants is local in nature, which is not surprising given that native plants are geographically specific and area cultural and social norms influence landscape preferences (Champine et al. 2022; Davis et al. 2012; Gillis and Swim 2020). For instance, Yue et al. (2011) found that Minnesotans are willing to pay $0.35 more for native plants when labeled as noninvasive. Their research reported that invasiveness was a primary concern for consumers and required a discount of $1.01 to $1.66 for participants to purchase that plant. They also found that men and younger participants preferred native plants relative to women or older generations (Yue et al. 2012). Similarly, native plants that encourage bird visits resulted in a 75% increase in supporting native plant landscaping in Raleigh, NC, USA (Rodriguez et al. 2017). In Michigan, participants were willing to pay premiums of $94 to $143 per month for a well-designed yard incorporating native species over yards consisting solely of turfgrass (Helfand et al. 2006). Together the production and consumer literature indicate opportunities and barriers in the native plants market. This study serves to provide more information about these topics from the consumer perspective.
Data and methodology
Data description
We used data from an online survey of a representative sample of US consumers. The survey questionnaire was developed based on existing literature and input from researchers, Extension personnel, and industry stakeholders associated with native plant production and distribution. The survey methodology included a consent form and questions related to plant and native plant purchasing behavior, perceptions of native plants, and demographic characteristics. The survey was approved by the corresponding institutional review board (IRB) for compliance with ethical standards for human subjects (IRB-22–06847-XM).
The survey was administered through an online panel provider (Qualtrics LLC, Provo, UT, USA) to their proprietary opt-in panel of US consumers in Sep 2022. Before participation, respondents needed to agree to participate in the survey and were screened to ensure they were at least 18 years old and had decision-making power to purchase native plants (i.e., owned a property or had sole or shared responsibility over lawns). The rationale to include these screening questions was to target the decision-makers who are currently or potentially purchasing native plants. Participants were equally recruited from five US regions, including the West, Southwest, Midwest, Southeast, and Northwest (National Geographic 2022). The rationale to categorize respondents by region follows that native plants are defined by the region where they naturally occur, and they differ across regions according to the US Department of Agriculture (USDA 2023; White et al. 2018). We also eliminated potential respondents who did not pass attention checks (i.e., validation questions asking respondents to specifically select an answer). Questionnaire development was guided by a review of the literature and interviews with industry stakeholders including producers and retailers of native plants.
A total of 2066 people were qualified for the study and completed the survey. All analyses were conducted using Stata (release 17; StataCorp, College Station, TX, USA) software to analyze the data. The study sample consisted of 1824 respondents who answered the question “Have you purchased a native plant in the past year?” Respondents who did not answer the question were excluded from the analysis (N = 242 respondents). From our sample of US homeowners, 1086 of them (59.54%) answered they had purchased native plants in 2021 (adopters) and the other 40.46% did not (nonadopters). We also asked those who purchased native plants in 2021 to answer about how much they spent annually on native plants, with choices ranging from $1–$100, $101–$200, $201–$300, $301–$400, $401–$500, $501–$600, $601–$700, $701–$800, $801–$900, $901–$1000, and $1001 or more. We calculated the midpoint of each interval to compute the amount of average annual expenditure in native plants. Figure 1 illustrates the distribution of dollar expenditures in native plants in 2021, which ranged from $50 to $1050.
Empirical model specification
This section illustrates the methodology used to estimate 1) the factors influencing purchasing native plants among US homeowners, and 2) the factors influencing the annual dollar expenditures in native plants in 2021. Table 1 describes the variables used in the double-hurdle model, including interaction variables between being female and knowledge of natives, growing food, and rating native plants as leggy. Variables in the double-hurdle included demographic characteristics (e.g., gender, age, educational attainment, household size, and income level), gardening characteristics (e.g., knowledge of natives, plant expenditures, importance of natives, and having natives in landscape), visual preferences for natives (e.g., uniform, compact, aesthetically pleasing, aligning with preferences, colorful, and showy), and perceptions regarding native plants (e.g., availability in area, adaption to difficult sites, expensive, and markets). Given the lack of descriptive scales available for native plants, a scale was created to capture a wide swath of potential characteristics/attributes of native plants (in general). Each line of the scale contained two opposite adjectives of each characteristic/attribute. The adjectives were primarily based on existing literature (e.g., aesthetically pleasing (Beck et al. 2002; Gillis and Swim 2020), encourage wildlife, better for the environment (Narem et al. 2018; Shaw et al. 2017), limited availability (Kauth and Perez 2011), and difficult sites (Brzuszek and Harkess 2009). Several of the aesthetic characteristics were generated to capture any additional perceptions related to the overall aesthetic of native plants vs. introduced species (e.g., dull – colorful, uniform – variable growth, showy – plain, aligns with preferences – does not align with preferences).
Variable descriptions by category included in the model for the decision to purchase native plants.
To model the two-step purchasing decision-making, we used a double-hurdle regression (Cameron and Trivedi 2009; Duan et al. 2012). The double-hurdle model is a useful methodology used to estimate these two separate and consecutive decisions into two steps, especially because the double-hurdle model mitigates the potential of selection bias. Selection bias occurs when a sample is not randomly generated and may fail to represent the general population. Thus, modeling the two decisions with the double-hurdle approach can address the unobservable characteristics found in the first selection error term before performing the second stage, that otherwise could lead to endogenous covariates if modeled separately (Cameron and Trivedi 2009; Duan et al. 2012).
The rationale from using a double-hurdle model is that the variables included in each step of the decision-making process need to reflect the factors that are relevant for each step of the process. For example, the second step in the regression, which measures the amount spent on native plants (stage 2) had similar variables influencing the decision to purchase native plants (stage 1) in addition to the variables expensive and market that control for the impact of prices and specific markets on native plant expenditures.
Results
Descriptive statistics
Table 2 illustrates the mean and standard deviation for all the variables used in the double-hurdle model. Table 2 also illustrates the mean differences between those who purchased native plants (adopters) and those who did not purchase native plants in 2021 (nonadopters). Most respondents in the sample were women, with a larger percentage of men being adopters, relative to their counterparts (P < 0.01). The average homeowner in our sample was 57 years old, with a larger proportion of younger homeowners being adopters, relative to their counterparts (P < 0.01). Most respondents were homeowners in metro areas (60%), and more native plant purchasers tend to live in metro areas, relative to nonadopters (P < 0.01). Almost half of the respondents had a college education or higher, and more college-educated respondents were also purchasers of native plants (P < 0.01). A quarter of respondents reported earnings of $100,000 or more, with a larger proportion of them in the adopter category (P < 0.01).
Comparison of descriptive statistics of demographics, gardening behavior, native plants appeal, perceptions, and purchasing variables of 1824 US homeowners participating in an online survey about native plants.
When looking into the gardening behavior, 88% of respondents were the primary gardener or plant purchaser in the household, with a larger percentage of gardeners in the adopter category (P < 0.01). Adopters also had a larger proportion of respondents who self-reported as very or extremely knowledgeable of native plants, believed incorporating natives into gardens is important, grew some of their own food, and had native plants in their garden (P < 0.01). The average respondent spent $220.34 on all plants per year, with larger plant expenditures among adopters ($268.78) than nonadopters ($149.05) (P < 0.01).
We asked respondents to rate attributes of native plants in general. Ratings ranged from 1 to 5 between plant attributes and included uniform vs. variable, compact vs. leggy, aesthetically pleasing vs. less pleasing, plants align with preferences vs. not aligning with preferences, and colorful vs. dull (see Table 1). In other words, the larger the rating, the less desirable the attribute. The least desirable attributes among all respondents for native plants are variable, leggy, and not pleasing. Most respondents in our sample perceived that native plants are better for the environment than exotic plants (68%), native plants are readily available in their area (67%), and native plants are better adapted to difficult sites (75%). For all these perceptions, the proportion of adopters was larger than nonadopters (P < 0.01). Most respondents in our sample (67%) agreed that they knew where to purchase native plants, a perception twice as frequent among adopters than nonadopters (P < 0.01).
Factors influencing the decision to purchase native plants
Stage 1 of the double-hurdle model, which assesses the factors influencing a consumer’s decision to purchase native plants is shown in Table 3. Results show that younger homeowners are more likely to purchase native plants, relative to older homeowners (P < 0.01). Homeowners who are also the primary gardener or plant purchaser are more likely to choose native plants for their garden or yard (P < 0.05). Homeowners who consider themselves very or extremely knowledgeable about native plants are more likely to purchase native plants (P < 0.1). Adopters are more likely to be those spending more money in plants (P < 0.01), growing some of their own food (P < 0.01), and those who already have native plants (P < 0.01) or think natives are important to incorporate into gardens (P < 0.01).
Double-hurdle results of the factors influencing 1) the purchasing of native plants, and 2) the amount spent on purchasing native plants among US homeowners.
Among native plant attributes, homeowners rating native plants as variable (P < 0.1) or compact (P < 0.01) are more likely to be adopters. Having native plants readily available in the area increases a homeowner’s probability to be adopters (P < 0.01). Results from interaction terms show that women homeowners who grow food are less likely to purchase native plants (P < 0.01) and rating native plants as leggy increases the probability of women to purchase native plants (P < 0.05).
Factors influencing the amount spent on native plants
Table 3 also shows the factors significantly influencing the annual dollar expenditures on native plants, among adopters, including demographic characteristics, gardening behavior, native plants attributes, interaction terms, and market-specific variables (two variables were added to the second stage only, including native plants are expensive and respondent knows where to shop for native plants). Increasing the age of homeowners reduces the amount spent on native plants (P < 0.01). In other words, younger homeowners seem to be the ones spending more on native plants.
Gardening behavior is significantly correlated with the amount of money spent annually on native plants. Adopters who self-identified as very or extremely knowledgeable of native plants tended to spend more money on native plants (P < 0.01), similar to those perceiving that native plants are important to incorporate into gardens (P < 0.01). Once homeowners purchase native plants, increasing the amount spent annually on all plants (P < 0.01) and having native plants in the landscape (P < 0.01) increases the amount spent on native plants. These results suggest that exposure to native plant benefits can increase the expenditure on native plants among adopters.
Adopters who perceive that native plants align with their preferences will spend more money on native plants (P < 0.01). Alternatively, Table 3 shows that perceiving that native plants are dull (P < 0.1) or too showy (P < 0.1) decreases the amount spent on native plants. These results are interesting because they suggest that adopters will spend more money on natives as long as they are colorful (not dull) and plain (not showy), which may seem counterintuitive. This result may suggest that adopters are looking for native plants that are not too dull or too showy, as these two attributes may be perceived as too extreme for their landscape. An alternative explanation may be that adopters have different expectations about the attributes colorful and showy in natives than what we intended to ask; thus, our survey questions might have been misinterpreted by some respondents.
Adopters tend to spend more money on native plants if they find them readily available in their area (P < 0.01). Although adopters were characterized as having higher income and spending more on all plants, results on Table 2 suggest that adopters are price sensitive, and perceiving that natives are expensive decreases the amount of native plant expenditures (P < 0.05).
Conclusions and discussion
Consumer perceptions of native plants are fundamental to creating more effective marketing strategies and increasing sales. In the present study, we found younger homeowners in metropolitan areas are more likely to be native plant adopters, which is consistent with Yue et al. (2012). If leveraging this finding, incentives and policies tailoring adoption of native plants would facilitate the establishment of “wildlife corridors” in urban areas suggested by Rudd et al. (2002). This is especially true as adopters in our study spend 80% more on plants than nonadopters, making them more viable targets for marketing because they appear to allocate a sizable portion of their budget on plant expenditures.
This study sheds light on the main characteristics of adopters (i.e., purchasers of native plants) and the factors motivating the purchase and amount purchased of native plants. The fact that adopters report they are more knowledgeable about native plants may lessen the need for educating them on what native plants are rather than emphasizing the environmental benefits of native plants. Another contribution of this study is the use of a double-hurdle model that explains a homeowner’s demand through a simultaneous two-step process (i.e., adoption and amount of adoption), which accurately depicts the consumer’s purchasing behavior. The double-hurdle model is an econometrically efficient way of decoupling these two steps, while correcting for selection bias, even in the case of missing data. For example, the double-hurdle model allowed us to understand that making native plants readily available not only increases the purchase of natives, but also the amount spent on native plants.
Our findings suggest that marketing efforts should emphasize benefits conveying that native plants are better for the environment compared with exotic plants, and native plants are better adapted to difficult sites. Table 4 offers examples of marketing messages that can be used by retailers of native plants to appeal to environmentally conscious consumers. This result arises from the finding that native plant adopters shared these perceptions more that nonadopters. These results fit well with metropolitan dwellers who may have a need for plants in less-than-ideal sites. Emphasizing native plant benefits may lead to subsequent native plant purchases. This is due to the finding that after a homeowner purchases a native plant, they are more likely to spend more on all plants and on native plants.
Marketing messages that highlight environmentally friendly attributes of native plants based on findings from a study of 1824 US homeowners participating in an online survey about native plants.
A potential study limitation may be the fact that a web-based survey can carry biases, but they are generally accepted research protocols for investigating consumer behavior, while reducing study costs and ensuring data collection speed. Our sample size and sample representativeness helped us address potential biases. Future research should investigate how marketing strategies impact the purchase of native plants, as well as the return on investment of such marketing efforts.
References cited
Beck TB, Heimlich JE, Quigley MF. 2002. Gardeners’ perceptions of the aesthetics, manageability, and sustainability of residential landscapes. Appl Environ Educ Commun. 1(3):163–172. https://doi.org/10.1080/15330150214006.
Breuste JH. 2004. Decision making, planning and coverage for the conservation of indigenous vegetation within urban development. Landsc Urban Plan. 68:439–452. https://doi.org/10.1016/S0169-2046(03)00150-6.
Brzuszek RF, Harkess RL. 2009. Green industry survey of native plant marketing in the southeastern United States. HortTechnology. 19(1):168–172. https://doi.org/10.21273/HORTTECH.19.1.168.
Burghardt KT, Tallamy DW, Shriver W. 2009. Impact of native plants on bird and butterfly biodiversity in suburban landscapes. Conserv Biol. 23(1):219–224.
Cameron AC, Trivedi PK. 2009. Microeconometrics: Methods and applications. Cambridge Univ. Press, New York, NY, USA.
Cecala JM, Wilson Rankin EE. 2021. Wild bee functional diversity and plant associations in native and conventional plant nurseries. Ecol Entomol. 46(6):1283–1292. https://doi.org/10.1111/een.13074.
Champine VM, Jones MS, Lischka S, Vaske JJ, Niemiec RM. 2022. Understanding individual and diffusion behaviors related to native plant gardening. J Environ Psychol. 81:101798. https://doi.org/10.1016/j.jenvp.2022.101798.
Davis BE, Chappell MR, Schwevens JD. 2012. Using native plants in traditional design contexts: Smilax smallii provides an example. Native Plants J. 13(1):27–34. https://doi.org/10.3 368/npj.13.1.27.
Duan N, Manning WG, Morris CN, Newhouse JP. 2012. A comparison of alternative models for the demand of medical care. J Bus Econ Stat. 1:115–126. https://doi.org/10.1080/07350015.1983.10509330.
Gillis AJ, Swim JK. 2020. Adding native plants to home landscapes: The roles of attitudes, social norms, and situational strengths. J Environ Psychol. 72:101519. https://doi.org/10.1016/j.jenvp.2020.101519.
Goddard MA, Dougill AJ, Benton TG. 2010. Scaling up from gardens: Biodiversity conservation in urban environments. Trends Ecol Evol. 25(2):90–98. https://doi.org/10.1016/j.tree.2009.07.016.
Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM. 2008. Global change and the ecology of cities. Science. 319:756–760. https://doi.org/10.1126/science.1150195.
Helfand GE, Park JS, Nassauer JI, Kosek S. 2006. The economics of native plants in residential landscape designs. Landsc Urban Plan. 78(3):229–240. https://doi.org/10.1016/j.la ndurbplan.2005.08.001.
Kauth PJ, Perez HE. 2011. Industry survey of the native wildflower market in Florida. HortTechnology. 21(6):779–788. https://doi.org/10.21273/HORTTECH.21.6.779.
Khachatryan H, Hodges AW, Hall CR, Palma MA. 2020. Production and marketing practices and trade flows in the United States green industry, 2018. Southern Cooperative Bulletin Series #421, ISBN: 1–58161–421–9.
Mack RN, Erneberg M. 2002. The United States naturalized flora: Largely the product of deliberate introductions. Ann Mo Bot Gard. 89(2):176–189. https://doi.org/10.2307/3298562.
Narem DM, Meyer MH, Yue C, Roth N. 2018. Point of sale displays influence consumer decisions to purchase native grasses. HortTechnology. 28(6):748–754. https://doi.org/10.21273/HORTTECH04124-18.
National Geographic. 2022. United States regions. https://education.nationalgeographic.org/resource/united-states-regions/. [accessed 8 Jul 2022].
Norcini J. 2006. Native plants: An overview. Florida Coop. Ext. Serv., Inst. Food Agr. Sci., Univ. Florida, Tampa, FL, USA. ENH1045.
Randall JM, Marinelli J. 1996. Invasive plants: Weeds of the global garden. Brooklyn Botanic Garden, Brooklyn, NY, USA.
Raymond CM, Diduck AP, Buijs A, Boerchers M, Moquin R. 2019. Exploring the co-benefits (and costs) of home gardening for biodiversity conservation. Local Environ. 24(3):258–273. https://doi.org/10.1080/13549839.2018.1561657.
Rodriguez SL, Peterson MN, Moorman CJ. 2017. Does education influence wildlife friendly landscaping preferences. Urban Ecosyst. 20:489–496. https://doi.org/10.1007/s11252-016-0609-2.
Rudd H, Vala J, Schaefer V. 2002. Importance of backyard habitat in a comprehensive biodiversity conservation strategy: a connectivity analysis of urban green spaces. Resto Ecol. 10(2):368–375. https://doi.org/10.1046/j.1526-100X.2002.02041.x.
Shaw A, Miller KK, Wescott G. 2017. Australian native gardens: Is there scope for a community shift? Landsc Urban Plan. 157:322–330. https://doi.org/10.1016/j.landurbplan. 2016.07.009.
Shelef O, Weisberg PJ, Provenza FD. 2017. The value of native plant and local production in an era of global agriculture. Front Plant Sci. 8:2069. https://doi.org/10.3389/fpls.2017.02069.
Torres AP, Rihn AL, Barton SS, Behe BK, Khachatryan H. 2021. Evaluating the business and owner characteristics influencing the adoption of online advertising strategies in the US green industry. HortScience. 56(6):659–666. https://doi.org/10.21273/HORTSCI15766-21.
USDA. 2023. Why native species matter. https://www.usda.gov/peoples-garden/gardening-advice/why-native-species-matter#:~:text=What%20is%20a%20native%20plant,a%20particular%20region%20or%20ecosystem. [accessed 5 Jun 2023].
Van Heezik Y, Freeman C, Davidson K, Lewis B. 2020. Uptake and engagement of activities to promote native species in private gardens. Environ Manage. 66:42–55. https://doi.org/10.1007/s00267-020-01294-5.
White A, Fant JB, Havens K, Skinner M, Kramer AT. 2018. Restoring species diversity: Assessing capacity in the US native plant industry. Restor Ecol. 26(4):605–611. https://doi.org/10.1111/rec.12705.
Wilde HD, Kamal JKG, Colson G. 2015. State of the science and challenges of breeding landscape plants with ecological function. Hortic Res. 2:14069. https://doi.org/10.1038/hortres.2014.69.
Yue C, Hurley T, Anderson NO. 2012. Heterogeneous consumer preferences for native and invasive plants: Evidence from experimental auctions. HortScience. 47(8):1091–1095. https://doi.org/10.21273/HORTSCI.47.8.1091.
Yue C, Hurley TM, Anderson N. 2011. Do native and invasive labels affect consumer willingness to pay for plants? Evidence from experimental auctions. Agric Econ. 42(2):195–205. https://doi.org/10.1111/j.1574-0862.2010.00510.x.
Zaninotto V, Thebault E, Dajoz I. 2022. Native and exotic plants play different roles in urban pollination networks across seasons. Oecologia. 201:525–536. https://doi.org/10.10 07/s00442-023-05324-x.