# Intracultural Variation in the Knowledge of Medicinal Plants in an Urban-Rural Community in the Atlantic Forest from Northeastern Brazil

Authors: Cecília de Fátima Castelo Branco Rangel de Almeida; Marcelo Alves Ramos; Rafael Ricardo Vasconcelos Silva; Joabe Gomes de Melo; Maria Franco Trindade Medeiros; Thiago Antonio de Sousa Araújo; Alyson Luiz Santos de Almeida; Elba Lúcia Cavalcanti de Amorim; Rômulo Romeu da Nóbrega Alves; Ulysses Paulino de Albuquerque
Journal: Evidence-Based Complementary and Alternative Medicine
 (2012)

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## Abstract

This study assessed the intracultural knowledge of the use of medicinal plants in an urban-rural community in an Atlantic forest fragment in northeastern Brazil. We examined the importance of native and exotic species and the effects of gender and age on that knowledge. We also compared data obtained from different groups of informants (local experts and general community). We conducted 194 interviews between June 2007 and January 2008, using the freelist technique and semistructured forms to collect ethnobotanical data. Information obtained from the community was compared with that from six local experts who participated in a survey in 2003. From a total of 209 ethnospecies, exotic and herbaceous plants presented higher richness. With respect to the number of citations, women and older informants were shown to know a higher number of medicinal plants. Comparing knowledge of local experts with that of the general community, we noted that experts know a similar wealth of plant families and therapeutic indications, but the community knows a greater species richness. These results indicate that local experts may provide useful information for studies that search for a quick diagnosis of the knowledge of a given community.


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## Body

## 1. Introduction

In Brazil, the Atlantic Forest is one of the most biologically diverse ecosystems, responsible for harboring a large number of endemic species [1, 2]. It extends from Rio Grande do Norte to Rio Grande do Sul [3] and, given its location in the coastal area, is currently under strong pressure from real estate speculation. In addition, there are the pressures generated by timber extraction, the cycles of sugar cane, coffee, and gold, and, more recently, the expansion of farming and forestry with exotic species.Human populations living in the surrounding areas of the Atlantic Forest play an important role in its exploitation as they often rely on forest resources for their subsistence and extract biological resources from it on a daily basis [4]. Understanding how these people use such resources is a task of great current interest, which may contribute to the discovery of products of economic interest and to the conservation of biological resources.Thus, ethnobotanical studies can contribute to assessing how local knowledge is distributed among members of a community and the relationship between that knowledge and the increase of exotic species in the local repertoire of medicinal plants [5–7].Common knowledge about plant resources, especially medicinal ones, is highly dynamic and subject to several influences, may vary according to gender, age, education level, income, roles that individuals play within the family, skills, and abilities [8–11], and may represent key elements of the knowledge of the diversity and richness of species [12].Different social patterns have been reported to impact the knowledge of medicinal plants, emphasizing the need of studies that address such questions. For instance, Almeida et al. [13] did not observe any differences between the knowledge of men and women, whereas age and income were correlated with the number of citations for a given plant and its indication, suggesting that older people with a higher income had greater knowledge about such plant resources.Thus, the goal of this study was to assess the intracultural knowledge of the use of medicinal plants in an urban-rural community in an Atlantic forest fragment in northeastern Brazil in order to document the importance of native and exotic species within the group of plants mentioned and the effects of gender and age on the knowledge of medicinal plants and to compare the quality of information gathered from different groups of informants (local experts versus general community).


## 2. Materials and Methods

### 2.1. Study Area

The study was conducted at Igarassu, located in the microregion of Itamaracá and the mesoregion of Recife, in Pernambuco state (7°50′20′′ S and 35°00′10′′ W; 20 m a.s.l.), 30 km from the state capital [14–16]. The climate is tropical, hot, and humid, with autumn/winter rains (according to the classification of Köeppen). The average annual temperature is 27°C, and the average annual rainfall is approximately 2,000 mm [14–16]. The municipality has a total area of 304.2 km2, with a population of 72,990 people (219.9 inhabitants/km2), 74.9% of which live in urban areas [14].The predominant vegetation is composed of remnants of Atlantic forest, secondary forests, mangroves, palm trees, and areas of commercial and subsistence agriculture. There are ecological reserves in the city, such as the São José Plant Forest, with tall, dense vegetation, located on Transcanavieira Highway (PE-41) and with an area of 323.30 ha [17].The community studied is known as “Três Ladeiras” and is located on the lands of the “São José Plant,” a sugar refinery. The “São José Plant” is surrounded by Atlantic forest fragments belonging to an ecological reserve [18]. The forest is part of the conservation area of the Botafogo River basin, in accordance with state law no. 9860, which since August 12, 1986, has been aimed at protecting the landscape, soil, and river basin [19]. The fragments occupy a total area of 210 ha [18]. The community lies 30 km north of the county seat and is located at the back of a large hill, whose extension contains three elevations that give the community its name. The district has 1,794 inhabitants, of which 1,077 live in urban areas and 687 in rural ones [20].Most men from the community work at the plant although the number of people employed by the refinery oscillates during the year, increasing and decreasing according to season and periods of land preparation, planting, and harvesting [15]. It is not unusual to find among the residents of the community families with small fields that provide nutritional and/or economic support during periods when there is no work at the plant [15]. There is no sanitation, medical care takes place in a health clinic for minor health problems, and disease control is provided by health workers through weekly home visits. Patients who require extra care are relocated to hospitals in the county seat of Igarassu.


### 2.2. Data Collection

Ethnobotanical data were obtained through the freelist technique, followed by semistructured interviews [21]. The interviews were conducted with the senior member of the family, over 18 years old, present on the visit of the interviewer. Initially, we obtained a Term of Informed Consent from those willing to participate in the study in accordance with the legal and ethical aspects of Resolution 196/96 from the Ethics and Research Committee [22].Because the community had a large number of residents, we sampled 51% of all households and conducted 194 interviews (140 women and 54 men) between June 2007 and January 2008. The age of informants ranged from 18 to 93 years. For the interviews, one main question was asked: “What medicinal plants do you know?”. In a second event, we gathered information on each species mentioned, the part of the plant used, the method of preparation, its indication and contraindication, as well as socioeconomic data from informants, such as gender, age, family income, and number of residents in the household. Ages were grouped into five different groups, ranging from 18 to over 68 years.We used the data obtained in this study and in the work of Gazzaneo et al. [15] to compare the information obtained from the general community and local experts, respectively. The latter study was conducted in the same community in 2003 and was attended by six informants identified as “local experts,” given their more detailed knowledge on the use of medicinal plants [23]. This group of informants was composed of three men and three women, with ages ranging from 51 to 102 years. The data sampling performed by Gazzaneo et al. [15] was intentionally nonrandom and assumed that local experts provide more specific, high-quality information about medicinal plants. To select this group of informants, the authors used the “snowball” method [24]. Data were collected using semistructured interviews that gathered information related to the knowledge of medicinal plants.


### 2.3. Species Categorization and Indications Mentioned by Informants

All plants mentioned during interviews were identified and classified as either native or exotic species according to their biogeographical origin. We considered native species those endemic to the study region and also native to South America. Exotic species were considered to be those of extracontinental origin, cultivated in the region, and widely distributed, such as tropical invasive and cosmopolitan species.To calculate the relative importance of species, all indications mentioned by the informants were grouped into 18 disease categories, according to the classification from the World Health Organization [25]: digestive, respiratory, gynecological/urinary, circulatory, nervous, sensory, motor, puerperium, cutaneous, scarring, poisoning, neoplasia, hematopoietic, nutritional, infectious/parasitic, sexual inappetence and antiabortion, and postpartum. Diseases not categorized by the aforementioned system were grouped into the category “undefined ailments and pains” by virtue of their symptoms and signs of multiple origins [26].All species mentioned by informants, excluding those commercialized, were collected, identified, and deposited in the herbaria of Professor Geraldo Mariz (UFP), at the Federal University of Pernambuco, Professor Dárdano de Andrade Lima (IPA), at the Agricultural Research Company, and Professor Sérgio Tavares (HST), at the Federal Rural University of Pernambuco.


### 2.4. Data Analysis

We calculated the value of relative importance (RI) for all species [27] with the following formula: RI=NBS+NP, where NBS is the number of body systems treated by a particular species (NBSS) divided by the total number of body systems treated by the most versatile species (NBSVS) and NP is the number of attributed properties of a particular species (NPS) divided by the total number of properties attributed to the most versatile species (NPVS).The chi-squared adherence test was used to check for differences between the following factors: number of native versus exotic plants and number of plants observed in each life form (herb, shrub, and tree). We also compared the richness of exclusive species between different age groups, richness of families, total number of mentioned species, and number of exclusive species between local experts and the general community.We used the Kruskal-Wallis nonparametric test to test for differences in the richness of ethnospecies and mentioned indications between men and women and between each age group and to check for differences between the relative importance of species mentioned by local experts and the general community.We used Williams’G-test to compare the proportion of the number of native and exotic species (exclusive or not) mentioned by local experts and the general community.The Spearman correlation test was applied to check for the relationship between the number of ethnospecies and the number of mentioned indications according to the age of the informants and to check for a relationship between relative importance (RI) of species mentioned by the general community and the RI calculated for local experts.All statistical analyses were performed using the statistical package BioEstat 5.0 [28].


## 2.1. Study Area

The study was conducted at Igarassu, located in the microregion of Itamaracá and the mesoregion of Recife, in Pernambuco state (7°50′20′′ S and 35°00′10′′ W; 20 m a.s.l.), 30 km from the state capital [14–16]. The climate is tropical, hot, and humid, with autumn/winter rains (according to the classification of Köeppen). The average annual temperature is 27°C, and the average annual rainfall is approximately 2,000 mm [14–16]. The municipality has a total area of 304.2 km2, with a population of 72,990 people (219.9 inhabitants/km2), 74.9% of which live in urban areas [14].The predominant vegetation is composed of remnants of Atlantic forest, secondary forests, mangroves, palm trees, and areas of commercial and subsistence agriculture. There are ecological reserves in the city, such as the São José Plant Forest, with tall, dense vegetation, located on Transcanavieira Highway (PE-41) and with an area of 323.30 ha [17].The community studied is known as “Três Ladeiras” and is located on the lands of the “São José Plant,” a sugar refinery. The “São José Plant” is surrounded by Atlantic forest fragments belonging to an ecological reserve [18]. The forest is part of the conservation area of the Botafogo River basin, in accordance with state law no. 9860, which since August 12, 1986, has been aimed at protecting the landscape, soil, and river basin [19]. The fragments occupy a total area of 210 ha [18]. The community lies 30 km north of the county seat and is located at the back of a large hill, whose extension contains three elevations that give the community its name. The district has 1,794 inhabitants, of which 1,077 live in urban areas and 687 in rural ones [20].Most men from the community work at the plant although the number of people employed by the refinery oscillates during the year, increasing and decreasing according to season and periods of land preparation, planting, and harvesting [15]. It is not unusual to find among the residents of the community families with small fields that provide nutritional and/or economic support during periods when there is no work at the plant [15]. There is no sanitation, medical care takes place in a health clinic for minor health problems, and disease control is provided by health workers through weekly home visits. Patients who require extra care are relocated to hospitals in the county seat of Igarassu.


## 2.2. Data Collection

Ethnobotanical data were obtained through the freelist technique, followed by semistructured interviews [21]. The interviews were conducted with the senior member of the family, over 18 years old, present on the visit of the interviewer. Initially, we obtained a Term of Informed Consent from those willing to participate in the study in accordance with the legal and ethical aspects of Resolution 196/96 from the Ethics and Research Committee [22].Because the community had a large number of residents, we sampled 51% of all households and conducted 194 interviews (140 women and 54 men) between June 2007 and January 2008. The age of informants ranged from 18 to 93 years. For the interviews, one main question was asked: “What medicinal plants do you know?”. In a second event, we gathered information on each species mentioned, the part of the plant used, the method of preparation, its indication and contraindication, as well as socioeconomic data from informants, such as gender, age, family income, and number of residents in the household. Ages were grouped into five different groups, ranging from 18 to over 68 years.We used the data obtained in this study and in the work of Gazzaneo et al. [15] to compare the information obtained from the general community and local experts, respectively. The latter study was conducted in the same community in 2003 and was attended by six informants identified as “local experts,” given their more detailed knowledge on the use of medicinal plants [23]. This group of informants was composed of three men and three women, with ages ranging from 51 to 102 years. The data sampling performed by Gazzaneo et al. [15] was intentionally nonrandom and assumed that local experts provide more specific, high-quality information about medicinal plants. To select this group of informants, the authors used the “snowball” method [24]. Data were collected using semistructured interviews that gathered information related to the knowledge of medicinal plants.


## 2.3. Species Categorization and Indications Mentioned by Informants

All plants mentioned during interviews were identified and classified as either native or exotic species according to their biogeographical origin. We considered native species those endemic to the study region and also native to South America. Exotic species were considered to be those of extracontinental origin, cultivated in the region, and widely distributed, such as tropical invasive and cosmopolitan species.To calculate the relative importance of species, all indications mentioned by the informants were grouped into 18 disease categories, according to the classification from the World Health Organization [25]: digestive, respiratory, gynecological/urinary, circulatory, nervous, sensory, motor, puerperium, cutaneous, scarring, poisoning, neoplasia, hematopoietic, nutritional, infectious/parasitic, sexual inappetence and antiabortion, and postpartum. Diseases not categorized by the aforementioned system were grouped into the category “undefined ailments and pains” by virtue of their symptoms and signs of multiple origins [26].All species mentioned by informants, excluding those commercialized, were collected, identified, and deposited in the herbaria of Professor Geraldo Mariz (UFP), at the Federal University of Pernambuco, Professor Dárdano de Andrade Lima (IPA), at the Agricultural Research Company, and Professor Sérgio Tavares (HST), at the Federal Rural University of Pernambuco.


## 2.4. Data Analysis

We calculated the value of relative importance (RI) for all species [27] with the following formula: RI=NBS+NP, where NBS is the number of body systems treated by a particular species (NBSS) divided by the total number of body systems treated by the most versatile species (NBSVS) and NP is the number of attributed properties of a particular species (NPS) divided by the total number of properties attributed to the most versatile species (NPVS).The chi-squared adherence test was used to check for differences between the following factors: number of native versus exotic plants and number of plants observed in each life form (herb, shrub, and tree). We also compared the richness of exclusive species between different age groups, richness of families, total number of mentioned species, and number of exclusive species between local experts and the general community.We used the Kruskal-Wallis nonparametric test to test for differences in the richness of ethnospecies and mentioned indications between men and women and between each age group and to check for differences between the relative importance of species mentioned by local experts and the general community.We used Williams’G-test to compare the proportion of the number of native and exotic species (exclusive or not) mentioned by local experts and the general community.The Spearman correlation test was applied to check for the relationship between the number of ethnospecies and the number of mentioned indications according to the age of the informants and to check for a relationship between relative importance (RI) of species mentioned by the general community and the RI calculated for local experts.All statistical analyses were performed using the statistical package BioEstat 5.0 [28].


## 3. Results

### 3.1. Richness of Medicinal Plants Mentioned by Informants

In total, 209 ethno-species were mentioned during interviews; 151 were identified to the species level and 21 to the genus level only (Table1). The plants were distributed in 74 families, and most families (66%) were represented by up to two species. The most represented families were Lamiaceae (10 spp.); Caesalpiniaceae and Curcubitaceae (8 spp.); Asteraceae, Euphorbiaceae, and Mimosaceae (5 spp.).Table 1
Medicinal plants mentioned in the community of Três Ladeiras, Igarassu, Pernambuco state, Brazil.
Family/scientific nameVernacular nameHabitOriginCitation numberRI 2005*RI 2008AcanthaceaeJusticia pectoralisJacq.ChambáHerbsNative210.330.37Justiciasp.Anador——25—1.00Graptophyllum pictum(L.) Griff.MelacilinaHerbsExotic150.670.94AmaranthaceaeAlternanthera brasiliana(L.) Kuntze.NovalginaHerbsExotic3—0.35Pfaffia glomerata(Spreng.) PedersonAcônico/AcônitoHerbsExotic170.670.27AnacardiaceaeAnacardium occidentaleL.Cajueiro roxoTreeNative1130.331.24Mangifera indicaL.MangaTreeExotic110.830.62Schinus terebinthifoliusRaddiAroeiraTreeNative2191.171.60Spondias purpureaL.SiriguelaTreeNative3—0.27AnnonaceaeAnnona montanaMacfad.AticumTreeNative130.830.61Annona muricataL.GraviolaTreeExotic4—0.30Annona squamosaL.PinhaTreeExotic1—0.12ApiaceaeDaucus carotaL.CenouraHerbsExotic1—0.12Foeniculum vulgareMill.EndroHerbsExotic12—0.74Pimpinella anisumL.Erva doceHerbsExotic450.331.09ApocynaceaeCatharanthus roseus L. G. Don.Boa noite brancaHerbsExotic3—0.27Hancornia speciosaGomesMangabaTreeNative10.170.12ArecaceaeAcrocomia aculeata(Jacq.) Lodd. ex Mart.MacaibaTreeNative300.170.76Cocos nuciferaL.Coco amareloTreeExotic70.170.39Elaeis guineensisJacq.DendezeiroTreeExotic20.170.24Syagrussp.Coco catoléTreeNative60.500.42AsteraceaeAcanthospermum hispidumDC.Espinho de ciganoHerbsExotic480.670.76Conyza bonariensis (L.) Cronq.Rabo de raposaHerbsExotic30.330.12Helianthus annuusL.GirassolHerbsNative100.170.12Matricaria chamomillaL.CamomilaHerbsExotic7—0.12Plucheasp.Mar de cravoHerbs—1—0.12Gymnanthemum amygdalinum(Delile) Sch.Bip. ex Walp.AlcachofraHerbsExotic500.330.83Asteraceae 1Carqueja——2—0.12BegoniaceaeBegonia reniformisDryand.CapebaShrubNative30.170.24BignoniaceaeHandroanthus impetiginosus(Mart. ex DC.) MattosPau daico roxoTreeNative80.670.54BombacaceaeChorisiasp.BarrigudaTreeNative1—0.12BoraginaceaeHeliotropium angiospermumMurrayCrista de galoHerbsExotic1—0.12Heliotropium indicum L.FedegosoHerbsExotic30.500.35BrassicaceaeNasturtium officinaleR. Br.AgriãoHerbsExotic480.830.53BromeliaceaeAnanas comosus(L.) Merr.AbacaxiHerbsNative14—0.39Tillandsia usneoides(L.) L.SalambaiaHerbsNative20.170.24BurseraceaeProtium heptaphyllum(Aubl.) MarchandAmesclaTreeNative11.000.12CactaceaeCereus jamacaruDC.CardeiroTreeNative5—0.12CaesalpiniaceaeBauhinia forficataLinkPata de vacaTreeNative9—0.30Caesalpinia echinataLam.Pau brasilTreeNative1—0.12Caesalpinia ferreaMart. ex Tul.JucáTreeNative110.500.27Copaifera sp.Pau dóleoTree—10.170.12Hymenaea martianaHayneJatobáTreeNative271.331.20Senna alata(L.) Roxb.Café beirãoShrubExotic1—0.12Senna occidentalis(L.) Link.Manjirioba/Mata pastoHerbsExotic240.170.76Poincianella pyramidalis(Tul.) L. P. QueirozCatingueiraTreeNative1—0.12CapparaceaeCleome spinosaJacq.MussambêShrubExotic110.170.30CaprifoliaceaeSambucus nigraL.Flor de sabugo/SabugueiroTreeExotic330.500.57CaricaceaeCarica papayaL.MamãoTreeNative70.330.46CaryophyllaceaeDianthus caryophyllusL.Cravo brancoHerbsExotic4—0.27CecropiaceaeCecropia palmataWilld.Embauba brancaTreeNative60.330.42ChenopodiaceaeBeta vulgarisL.BeterrabaHerbsExotic8—0.34Chenopodium ambrosioidesL.Mastruz/MentruzHerbsExotic850.670.68ChrysobalanaceaeLicaniasp.Oiti/Oiticica——2—0.24Chrysobalanaceae 1Oiticoró——1—0.12ClusiaceaeVismia guianensis(Aubl.) Pers.LacreTreeNative120.330.42CombretaceaeBuchenavia sp.Imbiriba——40.330.15Terminalia catappaL.Coração de negroTreeExotic2—0.58ConvolvulaceaeIpomoea asarifolia(Ders.) R. et SchSalsaHerbsExotic10.170.15Operculina alata(Ham.) Urb.Batata de purgaHerbsNative10.500.12Convolvulaceae 1Acanfó/Acafú——100.330.34Convolvulaceae 2Sassá——1—0.12CrassulaceaeKalanchoe laciniata(L.) DC.Corona brancaHerbsExotic17—0.81Kalanchoesp.Corona roxa——6—0.51CucurbitaceaeCitrullus vulgarisSchard.MelânciaHerbsExotic1—0.12Cucumis anguriaL.MaxixeHerbsExotic1—0.12Cucumis meloL.MelãoHerbsExotic1—0.12Cucumis sativusL.PepinoHerbsExotic2—0.24Curcubita pepoL.JerimumHerbsExotic8—0.24Luffa operculataL. Cong.CabacinhaHerbsNative10.170.12Momordica charantiaL.Melão de são caetanoHerbsExotic1—0.12Sechium edule(Jacq.) Sw.ChuchuHerbsExotic200.170.27EquisetaceaeEquisetumsp.CavalinhaHerbs—1—0.12EuphorbiaceaeCnidosculus urens(L.) ArthurUrtiga brancaHerbsNative250.500.68Euphorbia tirucalliL.AvelozShrubExotic1—0.12Jatropha gossypiifoliaL.Pinhão roxoShrubExotic5—0.35Jatropha mollissima(Pohl.) Baill.Pinhão brancoShrubNative2—0.24Manihot esculentaCrantzMacacheira/RoçaHerbsNative1—0.12Phyllanthus niruriL.Quebra pedraHerbsExotic130.170.46Ricinus communisL.Carrapateira/MamonaShrubExotic5—0.27FabaceaeBowdichia virgilioides KunthSucupiraTreeNative50.500.39Vicia fabaL.FavaHerbsExotic1—0.12Zornia diphylla(L.) Pers.UrinanaHerbsNative30.170.15FlacourtiaceaeFlacourtiaceae 1Imbira branca——2—0.12HeliconiaceaeHeliconia psittacorumL. f.PaquiviraHerbsNative1—0.12IlliaceaeIllicium verumHook. f.Anil estreladoTreeExotic9—0.73IridaceaeCrocussp.AçafrãoHerbs—10.330.12Eleutherine bulbosa(Mill.) Urb.Alho do matoHerbsNative30.670.15LamiaceaeAeollanthus suaveolensMart. ex Spreng.MacassáHerbsExotic321.331.13Mentha piperitaL.Hortelã miúdaHerbsExotic1410.832.00Mentha pulegiumL.Hortelã pastilha/H. vickHerbsExotic340.171.07Ocimum basilicumL.Manjericão/Manjericão são joséHerbsExotic500.501.16Ocimum basilicum var. minimum(Willd.) Benth.Manjericão miúdoHerbsExotic50.170.35Ocimum campechianumMill.Alfavaca de cabocloHerbsNative14—0.69Ocimum gratissimumL.Louro falso/L. caseiro/ Hortelã fernando/H. são severinoHerbsExotic40.170.24Plectranthus amboinicus(Lour.) Spreng.Hortelã graúda/H. gorda/H. bahiaHerbsExotic1550.831.22Plectranthus barbatusAndrewsBoldo caseiro/Boldo falso/Hortelã cabocloHerbsExotic170.500.84Rosmarinus officinalisL.AlecrimHerbsExotic110.170.96Lamiaceae 1AlfazemaHerbs—1—0.12Lamiaceae 2Alfazema de cabocloHerbs—1—0.12Lamiaceae 3Veiga mortaHerbs—530.500.84LauraceaeNectandra cuspidataNess & Mart.CanelaTreeNative71—0.95Persea americanaMill.AbacateTreeExotic150.830.62LiliaceaeAllium cepaL.CebolaHerbsExotic120.670.34Allium sativumL.AlhoHerbsExotic190.330.56Aloe vera(L.) Berm.f.Baborsa/Erva babosaHerbsExotic320.831.13LoranthaceaeLoranthaceae 1Cipó estanca sangue——10.330.12MalpighiaceaeByrsonima sericeaDC.MuriciTreeNative1—0.12Malpighia glabraL.AcerolaTreeExotic10—0.51MalvaceaeGossypium barbadenseL.AlgodãoShrubExotic20.500.20Uerna lobataL.Malva rosaHerbsNative110.330.51MeliaceaeCedrela odorataL.CedroTreeNative1—0.12MimosaceaeAcaciasp.EspinheiroTree—3—0.12Anadenanthera colubrina(Vell.) Brenan.AngicoTreeNative3—0.24Inga bahiensisBenth.Inga porcoTreeNative1—0.12Mimosa tenuiflora (Willd.) Poir.Jurema pretaTreeNative2—0.12Piptadenia stipulacea(Benth.) Ducke.Jurema brancaTreeNative1—0.12Pithecellobium cochliocarpum(Gomez) Macbr.BabatenomTreeNative1831.831.14Pithecellobium saman var. acutifoliumBenth.Budão de velhoTreeNative2—0.24MonimiaceaePeumus boldusMol.Boldo do chileHerbsExotic44—0.73MoraceaeArtocarpus communisJ.R. Forst. & G. Forst.Fruta pãoTreeExotic3—0.35Artocarpus integrifoliaL. f.JacaTreeExotic2—0.24Dorsteniasp.Conta erva——10.830.12MusaceaeMusa paradisiacaL.BananeiraTreeExotic190.330.73MyrtaceaeEucalyptus citriodoraHook.EucaliptoTreeExotic70.170.24Eugenia unifloraL.PitangaTreeNative580.170.59Psidium guajavaL.GoiabaTreeNative510.170.24Psidium guineenseSw.AraçaShrubNative50.170.12Syzygium aromaticum(L.) Merr. & L.M. PerryCravo do reinoTreeExotic5—0.59Syrygium jambolanum(Lam.) DC.Azeitona pretaTreeExotic140.170.69NyctaginaceaeBoerhavia diffusaL.Pega pintoHerbsExotic221.170.83Guapirasp.João moleTree—3—0.24OlacaceaeXimenia americanaL.AmeixaTreeNative10.170.12OxalidaceaeAverrhoa carambolaL.CarambolaTreeExotic170.830.30PapaveraceaeArgemone mexicanaL.Cardo santoHerbsExotic70.500.24PassifloraceaePassiflora edulisSims.MaracujáShrubNative120.170.49PedaliaceaeSesamum orientaleL.Gergelim preto/GigilimHerbsExotic40.170.24PhytolacaceaePetiveria alliaceaL.TimpiHerbsNative70.670.54PiperaceaePeperomia pellucidaH.B.K.Lingua de sapoHerbsNative5—0.39Piper nigrumL.Pimenta do reinoShrubExotic2—0.24PoaceaeCymbopogon citratus(DC.) StapfCapim santoHerbsExotic1330.501.47Imperata brasiliensisTrin.SapéHerbsNative5—0.15Phalaris canariensisL.AlpisteHerbsExotic40.170.24Zea maysL.MilhoHerbsExotic2—0.12PolygalaceaePolygalasp.Esquentado——1—0.12PunicaceaePunica granatumL.RomãTreeExotic14—0.49RhamnaceaeZizyphus joazeiroMart.JuáTreeNative220.830.76RosaceaePyrus malusL.MaçãTreeExotic1—0.12Rosasp.1Rosa amélia——1—0.12Rosa sp.2Rosa branca——70.330.62RubiaceaeBorreria verticillataL. G. Mey.Vassoura de botãoHerbsExotic471.171.51Genipa americanaL.JenipapoTreeNative53—0.64Uncaria tomentosa(Willd. ex Roem. & Schult.) DC.Unha de gatoTreeNative1—0.12RutaceaeCitrus limettaRissoLimaTreeExotic1—0.12Citrus limoniaOsbeckLimãoTreeExotic14—0.57Citrus sinensis(L.) OsbeckLaranjaTreeExotic440.830.93Ruta graveolensL.ArrudaHerbsExotic750.831.08SapindaceaeCardiospermum halicacabumL.Cipó de vaqueiroShrubNative100.330.24Cupaniasp.Cabotam——10.330.12Serjaniasp.Cipó cururu——2—0.12SapotaceaeAchras zapotaL.SapotiTreeExotic1—0.12Sideroxylon obtusifolium(Roem. & Schult.) T.D. Penn.QuixabaTreeNative27—1.14SmilacaceaeSmilax rotundifoliaL.Cipó japecangaHerbsNative60.170.12SolanaceaeCapsicum frutescensL.PimentaShrubNative3—0.24Nicotiana tabacumL.FumoHerbsNative1—0.12Solanum americanumMill.Avamoura/Erva mouraHerbsExotic50.170.30Solanum paniculatumL.JurubebaShrubExotic41.000.35SterculiaceaeGuazuma ulmifoliaL.MutambaTreeNative7—0.24TheacaeaCamellia sinensis(L.) KuntzeChá pretoShrubExotic4—0.20TurneraceaTurnera ulmifoliaL.XananaHerbsExotic10.170.12VerbenaceaeLantana camaraL.ChumbinhoShrubNative50.330.19Lippia alba(Mill.) N.E.Br.Cidreira/Erva cidreiraHerbsExotic940.671.86Stachytarpheta elatiorSchrad. ex SchultMocotóHerbsNative40.670.12Vitex agnus-castusL.LiambaTreeExotic20.170.24ViolaceaeHybanthus sp.Pepaconha——7—0.51VitaceaeCissus verticillata(L.) Nicolson &  C.E. JarvisInsulinaShrubNative50.170.12Leeasp.Café——3—0.27Vitis viniferaL.UvaShrubExotic1—0.12ZingiberaceaeAlpinia zerumbet(Pers.) Burt. ex R. M. SmithColônia/ColonhaHerbsExotic1901.670.91Costussp.Cana de macaco——27—0.84Zingiber officinalisRosc.Gengibre vermelhoHerbsExotic1—0.12UnidentifiedUnidentified 1Abre caminho——2—0.12Unidentified 2Açafroa——1—Unidentified 3Boca torta——1—0.12Unidentified 4Bugre——2—0.12Unidentified 5Cafofa——1—0.12Unidentified 6Canela de viado——1—0.12Unidentified 7Chumbinho branco——1—0.12Unidentified 8Cipó de boi——2—0.24Unidentified 9Imbira vermelha——2—0.12Unidentified 10Malicia branca——2—0.24Unidentified 11Malicia boi/M. fina——4—0.15Unidentified 12Malva ferro——1—0.12Unidentified 13Moça——1—0.12Unidentified 14Pé de galinha/Papo de peru——1—0.12Unidentified 15Pega rapaz——1—0.12Unidentified 16Perpetua branca——1—0.12Unidentified 17Piripiri——1—0.12Unidentified 18Piriquiti——1—0.12Unidentified 19Quebra faca——5—0.27Unidentified 20Quentão——1—0.12Unidentified 21Rasteira——1—0.12Unidentified 22Rasteirinho——1—0.12Unidentified 23Salsa caroba——1—0.12Unidentified 24Sete casco——1—0.12Unidentified 25Tatajuba——1—0.12*(—) denotes the absence of the species on the list of Gazzaneo et al. [15].RI 2005: relative importance calculated from information given by local experts; RI 2008: relative Importance calculated from information given by the general community.With respect to the origin of the identified species, we observed that 89 were exotic and 62 were native (Figure1), and the difference was statistically significant (χ2=4.8; P<0.05). That result indicates that informants knew more exotic plants that could be used for medicinal purposes. With respect to the life form of plants, there was a predominance of herbs (74), followed by trees (59) and shrubs (18) (Figure 1), but we only observed statistical differences when we compared the richness of shrubs with that of herbs (χ2=34.01; P<0.0001) and trees (χ2=21.83; P<0.0001). The number of herbs and trees was not significantly different (χ2=1.7; P=0.23), indicating that the richness of herbs and trees was similar in the pool of plants mentioned by informants. However, when considering the distribution of species according to their origin, we observed a different pattern: for exotic plants, there was a higher number of herbaceous plants compared to the other two life forms (shrubs: χ2=31.15, P<0.0001; trees: χ2=12.16, P=0.005), whereas, for native plants, there was a higher number of trees (herbs: χ2=4.7, P=0.02; shrubs: χ2=16.95, P<0.0001).Figure 1
Origin and life form of the medicinal species mentioned in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.The most mentioned species wereSchinus terebinthifolius Raddi (aroeira-219 citations), Alpinia zerumbet (Pers.) B. L. Burtt & R. M. Sm. (colônia-190 citations), Pithecellobium cochliocarpum (Gomez) Macbr. (babatenon-183), Plectranthus amboinicus (Lour.) Spreng (hortelã graúda-155), Mentha piperita L. (hortelã miúda-141), and Cymbopogon citratus (DC.) Stapf (capim santo-133) (Table 1). Except for S. terebinthifolius and P. cochliocarpum, all these plants are exotic, emphasizing the importance of exotic plants to the knowledge of medicinal plants in the region.


### 3.2. Influence of Gender and Age on the Knowledge of Medicinal Plants

There were significant differences in the knowledge of medicinal plants according to gender, with women knowing a higher richness of ethno-species (H=117.29; P=0.0006) and indications (H=134; P=0.0003). They mentioned a total of 166 ethno-species, with a mean number of 13.33±7.84 citations per person, and a total of 146 indications, with a mean of 10.16±5.73 citations per person, whereas men mentioned 136 ethno-species and 93 indications, with a mean of 9.95±7.05 and 7.51±4.9 citations per person, respectively.The number of plants and indications mentioned by each informant correlated with their age (rs=0.33, P<0.0001; rs=0.37, P<0.0001, resp.). However, when we compared the average number of ethnospecies and indications in each age group, we observed different patterns (Table 2). The number of known plants only varied in informants from the 18–28-year-old age group, suggesting that the richness of known plants was smaller in younger participants, which may reflect the limited experience and contact of young informants with plant resources from the region. Although informants aged 49–58 years old had greater knowledge of medicinal plants in the region, they were only significantly different from younger informants (Table 2). With respect to the number of indications mentioned in each age group, we observed a similar pattern to the previous one, with younger informants (18–28 yrs.) knowing a smaller variety of indications. However, the knowledge of informants was significantly higher for the age groups 49–58 years old and older than in other age groups.Table 2
Distribution of the knowledge of medicinal plants by age group and gender in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.
Age groupsNIGeneral average number of ethno-speciesGeneral average number of indicationsNMINFIAverage number of cited ethno-speciesAverage number of cited indicationsTotal diversity of cited speciesNumber of exclusive speciesMaleFemaleMaleFemaleχ±SD*χ±SD*χ±SD*χ±SD*χ±SD*χ±SD*18–28438.8 ± 6a6.3 ± 3.6a8355.37 ± 1.9a9.57 ± 6.4a4 ± 1.2a6.83 ± 3.8a851029–384411.66 ± 6.2b8.84 ± 4.6b8367.6 ± 3.7ac12.55 ± 6.3b5.75 ± 2ac9.53 ± 4.8b1031139–484111.98 ± 6.6b9 ± 4.9b12298.83 ± 4.3ad13.28 ± 7b7.67 ± 4.5ac9.66 ± 5.1b991249–582816.39 ± 11b12.79 ± 7.7c72111.71 ± 9.6bcd17.95 ± 11.3b9.14 ± 6.9bc14 ± 7.8c1201959–682414.58 ± 8.8b10.7 ± 6.1c141012.93 ± 9.4bcd16.9 ± 7.8b9.14 ± 6.3bc12.9 ± 5.2bcd11219>691414.71±6.7b11.5±4.8c5913.4±7.4bcd15.44±6.7b9±4.5bc12.9±4.6cd877*Equal letters in the same column indicate a lack of statistical differences using the Kruskal-Wallis test (P<0.05). NI: number of informants; NMI: number of male informants; NFI: number of female informants.When we analyzed the influence of gender and age on the distribution of knowledge, we observed a few patterns that often differed from the data presented by the general community. Younger women (18–28 yrs.) also had less knowledge of the richness of medicinal species, while, in other age groups, knowledge was homogeneous. For women, we observed the formation of two groups regarding the number of indications: one group consisting of the three younger groups, with a lower number of indications, and the other consisting of older age groups, with a higher number of indications.For men, knowledge of plant richness and indications showed a different pattern. The knowledge of informants in the 18–48-year-old age groups did not present any statistical differences. That difference only appeared in the age groups 49–58 years old and older, indicating an increase in the number of species known and the variety of indications occurring only in older age groups, whereas for women it was also observed in younger age groups.We observed a continuous increase in the number of ethno-species mentioned with an increase in age, for both men and women, when total plant richness was considered (Figure2), up to the age group with the highest richness of plants mentioned. In subsequent age groups, plant richness started to decrease. Among women, the 49–58-year-old age group had the greatest knowledge of plants (109 ethno-species), whereas for men the greatest knowledge of plants was observed in an older class (59–68 yrs.). These results indicate that, in the community of Three Hills, the commitment of women to family care compels them to know, from an early age, a large number of plants with medicinal purposes.Figure 2
Distribution of the knowledge of medicinal plants between men and women in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.Following the age groups with a higher number of plants, there was a decrease in plant richness in older groups, possibly related to memory loss, which is common among older people. We did not observe the same pattern when the mean number of plants mentioned by informants was analyzed, as previously noted (Table2). In this case, people still mentioned a high number of citations, even in the oldest age group (>69 yrs.).Exclusive species were mentioned in all age groups (Table2), with a total richness of 78 exclusive species distributed in the six age groups. The 49–58- and 59–68-year-old age groups stand out for their higher richness, although there were no statistical differences in the number of exclusive species between age groups (χ2=9.38; P=0.09), indicating that, in every age group, informants had a repertoire of exclusive plants that was not shared by people from other age groups.


### 3.3. Analysis of the Knowledge of Medicinal Plants between Local Experts and the General Community

Data obtained from the general community presented a higher richness of plant families and medicinal species when compared with data obtained from local experts. The difference was highly significant for total species richness (χ2=11.921, P=0.0006) and exclusive species richness (χ2=42.667, P=0.0001) but was not significantly different for the richness of plant families (χ2=1.463, P=0.2265, Figure 3). The results indicate that the knowledge of local experts managed to represent the richness of useful plant families cited by the general community but not the total number of species (Table 3). However, the most species (84.2%) mentioned by at least 20 informants from the general community were also mentioned by local experts. This result indicates that expert informants mentioned medicinal plant species that are better known among other members of the community.Table 3
Exclusive species list from the work of Gazzaneo et al. [15].
Family/scientific nameVernacular nameHabitOriginRIAsteraceaeEgletes viscosa(L.) Less.MacelaHerbsExotic0.17Tagetessp.Cravo de defuntoHerbs—0.17CaesalpiniaceaeSenna obtusifolia(L.) H.S. Irwin & BarnbeyMata pastoHerbsExotic0.17Tamarindus indicaL.TamarindoTreeExotic0.17CaprifoliaceaeSambucus australisCham. & SchlechtFlor de sabugoTreeExotic0.50ClusiaceaeSymphoniasp.BulandiHerbs—0.17EuphorbiaceaeCrotonsp.MarmeleiroShrubNative0.17Euphorbia thymifoliaL.Pé de pomboHerbsNative0.67LoranthaceaePhthirusa pyrifolia(H.B.K.) Eichl.Esterco de passarinhoHerbsNative0.50MalvaceaeMalvasp.Malva brancaHerbs—0.17PoaceaeBrachiaria mutica(Forsk.) StapfCapim de plantaHerbsExotic0.33Dendrocalamus giganteusMunroBambuTreeExotic0.17Saccharum officinarumL.CanaHerbsExotic0.17RhizophoraceaeRhizophora mangleL.MangueTreeNative0.33RubiaceaeCephaelis ipecacuanha(Brot.) A. Rich.PapeconhaHerbsNative0.50RutaceaePilocarpussp.Jaborandi——0.33SapotaceaePradosiasp.Burinhê——0.33ScrophulariaceaeScoparia dulcisL.VassourinhaHerbsExotic0.17RI: relative importance value.Figure 3
Comparison of the richness of families, species, and exclusive species between local experts and the general community.The numbers of exotic and native species mentioned by local experts and that by the general community were not significantly different according to Williams’G-test (G=0.9369, P=0.3331). Among exclusive species, we also did not observe any significant differences between native and exotic plants (G=0.153, P=0.6957), suggesting that local experts and the general community presented a similar citation repertoire of native and exotic species.There was no significant difference between the relative importance (RI) of species mentioned by local experts and that by general community (H=0.7899, P=0.3741). We observed a significant correlation between local experts and the general community in the number of indications per species according to the Spearman correlation test (rs=0.515, P<0.0001). This result suggests that local experts and the general community provided similar information regarding the indication of medicinal plant species. Among the ten species with higher RI mentioned by local experts and the general community, the species Borreria verticillata L. G. Mey., Hymenaea martiana Hayne, Mentha piperita L., Pithecellobium cochliocarpum (Gomez) Macbr., and Schinus terebinthifolius Raddi occurred in both studies. These results show that using local experts to provide information on the indications of medicinal plants was useful in the given context. However, the same was not observed for data on species richness. Thus, we recommend engaging the whole community to gather such data. Such precaution may prevent a large number of known species from being neglected, as in our study.


## 3.1. Richness of Medicinal Plants Mentioned by Informants

In total, 209 ethno-species were mentioned during interviews; 151 were identified to the species level and 21 to the genus level only (Table1). The plants were distributed in 74 families, and most families (66%) were represented by up to two species. The most represented families were Lamiaceae (10 spp.); Caesalpiniaceae and Curcubitaceae (8 spp.); Asteraceae, Euphorbiaceae, and Mimosaceae (5 spp.).Table 1
Medicinal plants mentioned in the community of Três Ladeiras, Igarassu, Pernambuco state, Brazil.
Family/scientific nameVernacular nameHabitOriginCitation numberRI 2005*RI 2008AcanthaceaeJusticia pectoralisJacq.ChambáHerbsNative210.330.37Justiciasp.Anador——25—1.00Graptophyllum pictum(L.) Griff.MelacilinaHerbsExotic150.670.94AmaranthaceaeAlternanthera brasiliana(L.) Kuntze.NovalginaHerbsExotic3—0.35Pfaffia glomerata(Spreng.) PedersonAcônico/AcônitoHerbsExotic170.670.27AnacardiaceaeAnacardium occidentaleL.Cajueiro roxoTreeNative1130.331.24Mangifera indicaL.MangaTreeExotic110.830.62Schinus terebinthifoliusRaddiAroeiraTreeNative2191.171.60Spondias purpureaL.SiriguelaTreeNative3—0.27AnnonaceaeAnnona montanaMacfad.AticumTreeNative130.830.61Annona muricataL.GraviolaTreeExotic4—0.30Annona squamosaL.PinhaTreeExotic1—0.12ApiaceaeDaucus carotaL.CenouraHerbsExotic1—0.12Foeniculum vulgareMill.EndroHerbsExotic12—0.74Pimpinella anisumL.Erva doceHerbsExotic450.331.09ApocynaceaeCatharanthus roseus L. G. Don.Boa noite brancaHerbsExotic3—0.27Hancornia speciosaGomesMangabaTreeNative10.170.12ArecaceaeAcrocomia aculeata(Jacq.) Lodd. ex Mart.MacaibaTreeNative300.170.76Cocos nuciferaL.Coco amareloTreeExotic70.170.39Elaeis guineensisJacq.DendezeiroTreeExotic20.170.24Syagrussp.Coco catoléTreeNative60.500.42AsteraceaeAcanthospermum hispidumDC.Espinho de ciganoHerbsExotic480.670.76Conyza bonariensis (L.) Cronq.Rabo de raposaHerbsExotic30.330.12Helianthus annuusL.GirassolHerbsNative100.170.12Matricaria chamomillaL.CamomilaHerbsExotic7—0.12Plucheasp.Mar de cravoHerbs—1—0.12Gymnanthemum amygdalinum(Delile) Sch.Bip. ex Walp.AlcachofraHerbsExotic500.330.83Asteraceae 1Carqueja——2—0.12BegoniaceaeBegonia reniformisDryand.CapebaShrubNative30.170.24BignoniaceaeHandroanthus impetiginosus(Mart. ex DC.) MattosPau daico roxoTreeNative80.670.54BombacaceaeChorisiasp.BarrigudaTreeNative1—0.12BoraginaceaeHeliotropium angiospermumMurrayCrista de galoHerbsExotic1—0.12Heliotropium indicum L.FedegosoHerbsExotic30.500.35BrassicaceaeNasturtium officinaleR. Br.AgriãoHerbsExotic480.830.53BromeliaceaeAnanas comosus(L.) Merr.AbacaxiHerbsNative14—0.39Tillandsia usneoides(L.) L.SalambaiaHerbsNative20.170.24BurseraceaeProtium heptaphyllum(Aubl.) MarchandAmesclaTreeNative11.000.12CactaceaeCereus jamacaruDC.CardeiroTreeNative5—0.12CaesalpiniaceaeBauhinia forficataLinkPata de vacaTreeNative9—0.30Caesalpinia echinataLam.Pau brasilTreeNative1—0.12Caesalpinia ferreaMart. ex Tul.JucáTreeNative110.500.27Copaifera sp.Pau dóleoTree—10.170.12Hymenaea martianaHayneJatobáTreeNative271.331.20Senna alata(L.) Roxb.Café beirãoShrubExotic1—0.12Senna occidentalis(L.) Link.Manjirioba/Mata pastoHerbsExotic240.170.76Poincianella pyramidalis(Tul.) L. P. QueirozCatingueiraTreeNative1—0.12CapparaceaeCleome spinosaJacq.MussambêShrubExotic110.170.30CaprifoliaceaeSambucus nigraL.Flor de sabugo/SabugueiroTreeExotic330.500.57CaricaceaeCarica papayaL.MamãoTreeNative70.330.46CaryophyllaceaeDianthus caryophyllusL.Cravo brancoHerbsExotic4—0.27CecropiaceaeCecropia palmataWilld.Embauba brancaTreeNative60.330.42ChenopodiaceaeBeta vulgarisL.BeterrabaHerbsExotic8—0.34Chenopodium ambrosioidesL.Mastruz/MentruzHerbsExotic850.670.68ChrysobalanaceaeLicaniasp.Oiti/Oiticica——2—0.24Chrysobalanaceae 1Oiticoró——1—0.12ClusiaceaeVismia guianensis(Aubl.) Pers.LacreTreeNative120.330.42CombretaceaeBuchenavia sp.Imbiriba——40.330.15Terminalia catappaL.Coração de negroTreeExotic2—0.58ConvolvulaceaeIpomoea asarifolia(Ders.) R. et SchSalsaHerbsExotic10.170.15Operculina alata(Ham.) Urb.Batata de purgaHerbsNative10.500.12Convolvulaceae 1Acanfó/Acafú——100.330.34Convolvulaceae 2Sassá——1—0.12CrassulaceaeKalanchoe laciniata(L.) DC.Corona brancaHerbsExotic17—0.81Kalanchoesp.Corona roxa——6—0.51CucurbitaceaeCitrullus vulgarisSchard.MelânciaHerbsExotic1—0.12Cucumis anguriaL.MaxixeHerbsExotic1—0.12Cucumis meloL.MelãoHerbsExotic1—0.12Cucumis sativusL.PepinoHerbsExotic2—0.24Curcubita pepoL.JerimumHerbsExotic8—0.24Luffa operculataL. Cong.CabacinhaHerbsNative10.170.12Momordica charantiaL.Melão de são caetanoHerbsExotic1—0.12Sechium edule(Jacq.) Sw.ChuchuHerbsExotic200.170.27EquisetaceaeEquisetumsp.CavalinhaHerbs—1—0.12EuphorbiaceaeCnidosculus urens(L.) ArthurUrtiga brancaHerbsNative250.500.68Euphorbia tirucalliL.AvelozShrubExotic1—0.12Jatropha gossypiifoliaL.Pinhão roxoShrubExotic5—0.35Jatropha mollissima(Pohl.) Baill.Pinhão brancoShrubNative2—0.24Manihot esculentaCrantzMacacheira/RoçaHerbsNative1—0.12Phyllanthus niruriL.Quebra pedraHerbsExotic130.170.46Ricinus communisL.Carrapateira/MamonaShrubExotic5—0.27FabaceaeBowdichia virgilioides KunthSucupiraTreeNative50.500.39Vicia fabaL.FavaHerbsExotic1—0.12Zornia diphylla(L.) Pers.UrinanaHerbsNative30.170.15FlacourtiaceaeFlacourtiaceae 1Imbira branca——2—0.12HeliconiaceaeHeliconia psittacorumL. f.PaquiviraHerbsNative1—0.12IlliaceaeIllicium verumHook. f.Anil estreladoTreeExotic9—0.73IridaceaeCrocussp.AçafrãoHerbs—10.330.12Eleutherine bulbosa(Mill.) Urb.Alho do matoHerbsNative30.670.15LamiaceaeAeollanthus suaveolensMart. ex Spreng.MacassáHerbsExotic321.331.13Mentha piperitaL.Hortelã miúdaHerbsExotic1410.832.00Mentha pulegiumL.Hortelã pastilha/H. vickHerbsExotic340.171.07Ocimum basilicumL.Manjericão/Manjericão são joséHerbsExotic500.501.16Ocimum basilicum var. minimum(Willd.) Benth.Manjericão miúdoHerbsExotic50.170.35Ocimum campechianumMill.Alfavaca de cabocloHerbsNative14—0.69Ocimum gratissimumL.Louro falso/L. caseiro/ Hortelã fernando/H. são severinoHerbsExotic40.170.24Plectranthus amboinicus(Lour.) Spreng.Hortelã graúda/H. gorda/H. bahiaHerbsExotic1550.831.22Plectranthus barbatusAndrewsBoldo caseiro/Boldo falso/Hortelã cabocloHerbsExotic170.500.84Rosmarinus officinalisL.AlecrimHerbsExotic110.170.96Lamiaceae 1AlfazemaHerbs—1—0.12Lamiaceae 2Alfazema de cabocloHerbs—1—0.12Lamiaceae 3Veiga mortaHerbs—530.500.84LauraceaeNectandra cuspidataNess & Mart.CanelaTreeNative71—0.95Persea americanaMill.AbacateTreeExotic150.830.62LiliaceaeAllium cepaL.CebolaHerbsExotic120.670.34Allium sativumL.AlhoHerbsExotic190.330.56Aloe vera(L.) Berm.f.Baborsa/Erva babosaHerbsExotic320.831.13LoranthaceaeLoranthaceae 1Cipó estanca sangue——10.330.12MalpighiaceaeByrsonima sericeaDC.MuriciTreeNative1—0.12Malpighia glabraL.AcerolaTreeExotic10—0.51MalvaceaeGossypium barbadenseL.AlgodãoShrubExotic20.500.20Uerna lobataL.Malva rosaHerbsNative110.330.51MeliaceaeCedrela odorataL.CedroTreeNative1—0.12MimosaceaeAcaciasp.EspinheiroTree—3—0.12Anadenanthera colubrina(Vell.) Brenan.AngicoTreeNative3—0.24Inga bahiensisBenth.Inga porcoTreeNative1—0.12Mimosa tenuiflora (Willd.) Poir.Jurema pretaTreeNative2—0.12Piptadenia stipulacea(Benth.) Ducke.Jurema brancaTreeNative1—0.12Pithecellobium cochliocarpum(Gomez) Macbr.BabatenomTreeNative1831.831.14Pithecellobium saman var. acutifoliumBenth.Budão de velhoTreeNative2—0.24MonimiaceaePeumus boldusMol.Boldo do chileHerbsExotic44—0.73MoraceaeArtocarpus communisJ.R. Forst. & G. Forst.Fruta pãoTreeExotic3—0.35Artocarpus integrifoliaL. f.JacaTreeExotic2—0.24Dorsteniasp.Conta erva——10.830.12MusaceaeMusa paradisiacaL.BananeiraTreeExotic190.330.73MyrtaceaeEucalyptus citriodoraHook.EucaliptoTreeExotic70.170.24Eugenia unifloraL.PitangaTreeNative580.170.59Psidium guajavaL.GoiabaTreeNative510.170.24Psidium guineenseSw.AraçaShrubNative50.170.12Syzygium aromaticum(L.) Merr. & L.M. PerryCravo do reinoTreeExotic5—0.59Syrygium jambolanum(Lam.) DC.Azeitona pretaTreeExotic140.170.69NyctaginaceaeBoerhavia diffusaL.Pega pintoHerbsExotic221.170.83Guapirasp.João moleTree—3—0.24OlacaceaeXimenia americanaL.AmeixaTreeNative10.170.12OxalidaceaeAverrhoa carambolaL.CarambolaTreeExotic170.830.30PapaveraceaeArgemone mexicanaL.Cardo santoHerbsExotic70.500.24PassifloraceaePassiflora edulisSims.MaracujáShrubNative120.170.49PedaliaceaeSesamum orientaleL.Gergelim preto/GigilimHerbsExotic40.170.24PhytolacaceaePetiveria alliaceaL.TimpiHerbsNative70.670.54PiperaceaePeperomia pellucidaH.B.K.Lingua de sapoHerbsNative5—0.39Piper nigrumL.Pimenta do reinoShrubExotic2—0.24PoaceaeCymbopogon citratus(DC.) StapfCapim santoHerbsExotic1330.501.47Imperata brasiliensisTrin.SapéHerbsNative5—0.15Phalaris canariensisL.AlpisteHerbsExotic40.170.24Zea maysL.MilhoHerbsExotic2—0.12PolygalaceaePolygalasp.Esquentado——1—0.12PunicaceaePunica granatumL.RomãTreeExotic14—0.49RhamnaceaeZizyphus joazeiroMart.JuáTreeNative220.830.76RosaceaePyrus malusL.MaçãTreeExotic1—0.12Rosasp.1Rosa amélia——1—0.12Rosa sp.2Rosa branca——70.330.62RubiaceaeBorreria verticillataL. G. Mey.Vassoura de botãoHerbsExotic471.171.51Genipa americanaL.JenipapoTreeNative53—0.64Uncaria tomentosa(Willd. ex Roem. & Schult.) DC.Unha de gatoTreeNative1—0.12RutaceaeCitrus limettaRissoLimaTreeExotic1—0.12Citrus limoniaOsbeckLimãoTreeExotic14—0.57Citrus sinensis(L.) OsbeckLaranjaTreeExotic440.830.93Ruta graveolensL.ArrudaHerbsExotic750.831.08SapindaceaeCardiospermum halicacabumL.Cipó de vaqueiroShrubNative100.330.24Cupaniasp.Cabotam——10.330.12Serjaniasp.Cipó cururu——2—0.12SapotaceaeAchras zapotaL.SapotiTreeExotic1—0.12Sideroxylon obtusifolium(Roem. & Schult.) T.D. Penn.QuixabaTreeNative27—1.14SmilacaceaeSmilax rotundifoliaL.Cipó japecangaHerbsNative60.170.12SolanaceaeCapsicum frutescensL.PimentaShrubNative3—0.24Nicotiana tabacumL.FumoHerbsNative1—0.12Solanum americanumMill.Avamoura/Erva mouraHerbsExotic50.170.30Solanum paniculatumL.JurubebaShrubExotic41.000.35SterculiaceaeGuazuma ulmifoliaL.MutambaTreeNative7—0.24TheacaeaCamellia sinensis(L.) KuntzeChá pretoShrubExotic4—0.20TurneraceaTurnera ulmifoliaL.XananaHerbsExotic10.170.12VerbenaceaeLantana camaraL.ChumbinhoShrubNative50.330.19Lippia alba(Mill.) N.E.Br.Cidreira/Erva cidreiraHerbsExotic940.671.86Stachytarpheta elatiorSchrad. ex SchultMocotóHerbsNative40.670.12Vitex agnus-castusL.LiambaTreeExotic20.170.24ViolaceaeHybanthus sp.Pepaconha——7—0.51VitaceaeCissus verticillata(L.) Nicolson &  C.E. JarvisInsulinaShrubNative50.170.12Leeasp.Café——3—0.27Vitis viniferaL.UvaShrubExotic1—0.12ZingiberaceaeAlpinia zerumbet(Pers.) Burt. ex R. M. SmithColônia/ColonhaHerbsExotic1901.670.91Costussp.Cana de macaco——27—0.84Zingiber officinalisRosc.Gengibre vermelhoHerbsExotic1—0.12UnidentifiedUnidentified 1Abre caminho——2—0.12Unidentified 2Açafroa——1—Unidentified 3Boca torta——1—0.12Unidentified 4Bugre——2—0.12Unidentified 5Cafofa——1—0.12Unidentified 6Canela de viado——1—0.12Unidentified 7Chumbinho branco——1—0.12Unidentified 8Cipó de boi——2—0.24Unidentified 9Imbira vermelha——2—0.12Unidentified 10Malicia branca——2—0.24Unidentified 11Malicia boi/M. fina——4—0.15Unidentified 12Malva ferro——1—0.12Unidentified 13Moça——1—0.12Unidentified 14Pé de galinha/Papo de peru——1—0.12Unidentified 15Pega rapaz——1—0.12Unidentified 16Perpetua branca——1—0.12Unidentified 17Piripiri——1—0.12Unidentified 18Piriquiti——1—0.12Unidentified 19Quebra faca——5—0.27Unidentified 20Quentão——1—0.12Unidentified 21Rasteira——1—0.12Unidentified 22Rasteirinho——1—0.12Unidentified 23Salsa caroba——1—0.12Unidentified 24Sete casco——1—0.12Unidentified 25Tatajuba——1—0.12*(—) denotes the absence of the species on the list of Gazzaneo et al. [15].RI 2005: relative importance calculated from information given by local experts; RI 2008: relative Importance calculated from information given by the general community.With respect to the origin of the identified species, we observed that 89 were exotic and 62 were native (Figure1), and the difference was statistically significant (χ2=4.8; P<0.05). That result indicates that informants knew more exotic plants that could be used for medicinal purposes. With respect to the life form of plants, there was a predominance of herbs (74), followed by trees (59) and shrubs (18) (Figure 1), but we only observed statistical differences when we compared the richness of shrubs with that of herbs (χ2=34.01; P<0.0001) and trees (χ2=21.83; P<0.0001). The number of herbs and trees was not significantly different (χ2=1.7; P=0.23), indicating that the richness of herbs and trees was similar in the pool of plants mentioned by informants. However, when considering the distribution of species according to their origin, we observed a different pattern: for exotic plants, there was a higher number of herbaceous plants compared to the other two life forms (shrubs: χ2=31.15, P<0.0001; trees: χ2=12.16, P=0.005), whereas, for native plants, there was a higher number of trees (herbs: χ2=4.7, P=0.02; shrubs: χ2=16.95, P<0.0001).Figure 1
Origin and life form of the medicinal species mentioned in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.The most mentioned species wereSchinus terebinthifolius Raddi (aroeira-219 citations), Alpinia zerumbet (Pers.) B. L. Burtt & R. M. Sm. (colônia-190 citations), Pithecellobium cochliocarpum (Gomez) Macbr. (babatenon-183), Plectranthus amboinicus (Lour.) Spreng (hortelã graúda-155), Mentha piperita L. (hortelã miúda-141), and Cymbopogon citratus (DC.) Stapf (capim santo-133) (Table 1). Except for S. terebinthifolius and P. cochliocarpum, all these plants are exotic, emphasizing the importance of exotic plants to the knowledge of medicinal plants in the region.


## 3.2. Influence of Gender and Age on the Knowledge of Medicinal Plants

There were significant differences in the knowledge of medicinal plants according to gender, with women knowing a higher richness of ethno-species (H=117.29; P=0.0006) and indications (H=134; P=0.0003). They mentioned a total of 166 ethno-species, with a mean number of 13.33±7.84 citations per person, and a total of 146 indications, with a mean of 10.16±5.73 citations per person, whereas men mentioned 136 ethno-species and 93 indications, with a mean of 9.95±7.05 and 7.51±4.9 citations per person, respectively.The number of plants and indications mentioned by each informant correlated with their age (rs=0.33, P<0.0001; rs=0.37, P<0.0001, resp.). However, when we compared the average number of ethnospecies and indications in each age group, we observed different patterns (Table 2). The number of known plants only varied in informants from the 18–28-year-old age group, suggesting that the richness of known plants was smaller in younger participants, which may reflect the limited experience and contact of young informants with plant resources from the region. Although informants aged 49–58 years old had greater knowledge of medicinal plants in the region, they were only significantly different from younger informants (Table 2). With respect to the number of indications mentioned in each age group, we observed a similar pattern to the previous one, with younger informants (18–28 yrs.) knowing a smaller variety of indications. However, the knowledge of informants was significantly higher for the age groups 49–58 years old and older than in other age groups.Table 2
Distribution of the knowledge of medicinal plants by age group and gender in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.
Age groupsNIGeneral average number of ethno-speciesGeneral average number of indicationsNMINFIAverage number of cited ethno-speciesAverage number of cited indicationsTotal diversity of cited speciesNumber of exclusive speciesMaleFemaleMaleFemaleχ±SD*χ±SD*χ±SD*χ±SD*χ±SD*χ±SD*18–28438.8 ± 6a6.3 ± 3.6a8355.37 ± 1.9a9.57 ± 6.4a4 ± 1.2a6.83 ± 3.8a851029–384411.66 ± 6.2b8.84 ± 4.6b8367.6 ± 3.7ac12.55 ± 6.3b5.75 ± 2ac9.53 ± 4.8b1031139–484111.98 ± 6.6b9 ± 4.9b12298.83 ± 4.3ad13.28 ± 7b7.67 ± 4.5ac9.66 ± 5.1b991249–582816.39 ± 11b12.79 ± 7.7c72111.71 ± 9.6bcd17.95 ± 11.3b9.14 ± 6.9bc14 ± 7.8c1201959–682414.58 ± 8.8b10.7 ± 6.1c141012.93 ± 9.4bcd16.9 ± 7.8b9.14 ± 6.3bc12.9 ± 5.2bcd11219>691414.71±6.7b11.5±4.8c5913.4±7.4bcd15.44±6.7b9±4.5bc12.9±4.6cd877*Equal letters in the same column indicate a lack of statistical differences using the Kruskal-Wallis test (P<0.05). NI: number of informants; NMI: number of male informants; NFI: number of female informants.When we analyzed the influence of gender and age on the distribution of knowledge, we observed a few patterns that often differed from the data presented by the general community. Younger women (18–28 yrs.) also had less knowledge of the richness of medicinal species, while, in other age groups, knowledge was homogeneous. For women, we observed the formation of two groups regarding the number of indications: one group consisting of the three younger groups, with a lower number of indications, and the other consisting of older age groups, with a higher number of indications.For men, knowledge of plant richness and indications showed a different pattern. The knowledge of informants in the 18–48-year-old age groups did not present any statistical differences. That difference only appeared in the age groups 49–58 years old and older, indicating an increase in the number of species known and the variety of indications occurring only in older age groups, whereas for women it was also observed in younger age groups.We observed a continuous increase in the number of ethno-species mentioned with an increase in age, for both men and women, when total plant richness was considered (Figure2), up to the age group with the highest richness of plants mentioned. In subsequent age groups, plant richness started to decrease. Among women, the 49–58-year-old age group had the greatest knowledge of plants (109 ethno-species), whereas for men the greatest knowledge of plants was observed in an older class (59–68 yrs.). These results indicate that, in the community of Three Hills, the commitment of women to family care compels them to know, from an early age, a large number of plants with medicinal purposes.Figure 2
Distribution of the knowledge of medicinal plants between men and women in the community of Três Ladeiras, Igarassu, Pernambuco state, northeastern Brazil.Following the age groups with a higher number of plants, there was a decrease in plant richness in older groups, possibly related to memory loss, which is common among older people. We did not observe the same pattern when the mean number of plants mentioned by informants was analyzed, as previously noted (Table2). In this case, people still mentioned a high number of citations, even in the oldest age group (>69 yrs.).Exclusive species were mentioned in all age groups (Table2), with a total richness of 78 exclusive species distributed in the six age groups. The 49–58- and 59–68-year-old age groups stand out for their higher richness, although there were no statistical differences in the number of exclusive species between age groups (χ2=9.38; P=0.09), indicating that, in every age group, informants had a repertoire of exclusive plants that was not shared by people from other age groups.


## 3.3. Analysis of the Knowledge of Medicinal Plants between Local Experts and the General Community

Data obtained from the general community presented a higher richness of plant families and medicinal species when compared with data obtained from local experts. The difference was highly significant for total species richness (χ2=11.921, P=0.0006) and exclusive species richness (χ2=42.667, P=0.0001) but was not significantly different for the richness of plant families (χ2=1.463, P=0.2265, Figure 3). The results indicate that the knowledge of local experts managed to represent the richness of useful plant families cited by the general community but not the total number of species (Table 3). However, the most species (84.2%) mentioned by at least 20 informants from the general community were also mentioned by local experts. This result indicates that expert informants mentioned medicinal plant species that are better known among other members of the community.Table 3
Exclusive species list from the work of Gazzaneo et al. [15].
Family/scientific nameVernacular nameHabitOriginRIAsteraceaeEgletes viscosa(L.) Less.MacelaHerbsExotic0.17Tagetessp.Cravo de defuntoHerbs—0.17CaesalpiniaceaeSenna obtusifolia(L.) H.S. Irwin & BarnbeyMata pastoHerbsExotic0.17Tamarindus indicaL.TamarindoTreeExotic0.17CaprifoliaceaeSambucus australisCham. & SchlechtFlor de sabugoTreeExotic0.50ClusiaceaeSymphoniasp.BulandiHerbs—0.17EuphorbiaceaeCrotonsp.MarmeleiroShrubNative0.17Euphorbia thymifoliaL.Pé de pomboHerbsNative0.67LoranthaceaePhthirusa pyrifolia(H.B.K.) Eichl.Esterco de passarinhoHerbsNative0.50MalvaceaeMalvasp.Malva brancaHerbs—0.17PoaceaeBrachiaria mutica(Forsk.) StapfCapim de plantaHerbsExotic0.33Dendrocalamus giganteusMunroBambuTreeExotic0.17Saccharum officinarumL.CanaHerbsExotic0.17RhizophoraceaeRhizophora mangleL.MangueTreeNative0.33RubiaceaeCephaelis ipecacuanha(Brot.) A. Rich.PapeconhaHerbsNative0.50RutaceaePilocarpussp.Jaborandi——0.33SapotaceaePradosiasp.Burinhê——0.33ScrophulariaceaeScoparia dulcisL.VassourinhaHerbsExotic0.17RI: relative importance value.Figure 3
Comparison of the richness of families, species, and exclusive species between local experts and the general community.The numbers of exotic and native species mentioned by local experts and that by the general community were not significantly different according to Williams’G-test (G=0.9369, P=0.3331). Among exclusive species, we also did not observe any significant differences between native and exotic plants (G=0.153, P=0.6957), suggesting that local experts and the general community presented a similar citation repertoire of native and exotic species.There was no significant difference between the relative importance (RI) of species mentioned by local experts and that by general community (H=0.7899, P=0.3741). We observed a significant correlation between local experts and the general community in the number of indications per species according to the Spearman correlation test (rs=0.515, P<0.0001). This result suggests that local experts and the general community provided similar information regarding the indication of medicinal plant species. Among the ten species with higher RI mentioned by local experts and the general community, the species Borreria verticillata L. G. Mey., Hymenaea martiana Hayne, Mentha piperita L., Pithecellobium cochliocarpum (Gomez) Macbr., and Schinus terebinthifolius Raddi occurred in both studies. These results show that using local experts to provide information on the indications of medicinal plants was useful in the given context. However, the same was not observed for data on species richness. Thus, we recommend engaging the whole community to gather such data. Such precaution may prevent a large number of known species from being neglected, as in our study.


## 4. Discussion

### 4.1. Richness of Medicinal Plants Mentioned by Informants

The study showed high diversity in the knowledge of medicinal plants, with significant results for species prescribed for basic health care. The acceptance of folk medicine and the limited access to public healthcare services in the community may be factors contributing to the knowledge of medicinal species in local medical practices.A few plant families prominent in this study, such as Lamiaceae and Asteraceae, are reported as very diverse taxonomic groups in the literature. Their high diversity probably reflects a greater amount of bioactive compounds [29], which may explain their prominence in this study and in similar ones in other regions [30, 31].Most medicinal plants used in the study area are exotic herbs that usually grow in anthropogenic areas, such as agricultural fields, gardens, and roads. Other studies performed in forest environments in different regions have shown that traditional communities select anthropogenic areas as important resource sources [32–36]. The frequent citation of herbs in the community of “Três Ladeiras” may be a consequence of the importance of this life form in anthropogenic areas, also due to the presence of strong bioactive compounds. In a study conducted in the same community, Gazzaneo et al. [15] also reported that more of the medicinal plants used by experts were herbs, collected mainly in the backyards of homes and small farms.According to Voeks [37], weeds are often abundant in easily accessible places and rich in bioactive compounds, and as a result they are widely represented in tropical medicinal floras.


### 4.2. Influence of Gender and Age on the Knowledge of Medicinal Plants

Women had greater knowledge of medicinal plants when compared to men in the community studied. That result was probably due to women being the caregivers for their families, a trend also observed in other studies [5, 38–40]. This scenario may also reflect the different activities performed by men and women in the community because the latter must dedicate themselves to their homes and families, which help them assimilate the knowledge they will need to keep their homes healthy at an earlier age. We should add that most species from the list of mentioned plants were exotic and herbaceous plants that are found in places women are more familiar with, such as backyards.The study showed that young informants had less knowledge of medicinal plants when compared to older ones, which can be attributed to a lack of interest in learning and practicing such knowledge in younger generations, who are increasingly influenced by modernization. Several studies have reported similar results [38, 41–45]. It is also important to notice that older people are more experienced and have had greater contact with plant resources and time to exchange knowledge with other informants from the region. Moreover, older people are more often affected often by various illnesses, which may help to increase their repertoire of plants and indications. In addition, they are responsible for preparing home remedies for themselves and for younger people, favoring the retention of knowledge and prompting younger individuals to use the plant resource without necessarily having knowledge of the remedy or its preparation.


### 4.3. Analysis of the Knowledge of Medicinal Plants between Local Experts and the General Community

This research showed that studies focused on experts can generate useful information, with a satisfactory level of reliability. But these are eminently suitable for quick diagnosis about the knowledge and use of medicinal plants in a community. That approach has the advantage of minimizing costs and time when collecting ethnobotanical data in the community surveyed. However, studies aiming to gather such information in greater detail should ideally engage other members of the community. That may prevent a large number of known species from being neglected. Vandebroek [46] reports that the careful selection of informants is a key task of the ethnobiologist and cannot be a simple step. The author suggests that, for a scientifically rigorous research, should be involved as many participants as possible, but if time is really a limiting factor, it is necessary to select key informants who have a high degree of knowledge about plants in the region as well as a high level of consensus with others.Within this scenario, the association between both groups of informants is also possible [45–47]. In fact, the information gathered from key informants (experts) in those studies helped prepare semistructured forms and consensus analyses among informants. In some cases, local experts are used as facilitators for data collection, accompanying the researcher during interviews with other members of the community. These studies serve as examples of the advantages and limitations of different informant profiles and emphasize the importance of clearly establishing the goals the researcher hopes to achieve to best engage the most appropriate informants.It should be noted, additionally, that there was a five-year interval between the data obtained from local experts and the general community. The influence of such a gap could not be measured or controlled, given the sampling design of each study and the dynamic character of human knowledge, and this limitation restricts the possibility of extrapolating the considerations discussed here. Moreover, we could not completely rule out the possibility that the so-called local expert informants have been added to the sample of the present study.


## 4.1. Richness of Medicinal Plants Mentioned by Informants

The study showed high diversity in the knowledge of medicinal plants, with significant results for species prescribed for basic health care. The acceptance of folk medicine and the limited access to public healthcare services in the community may be factors contributing to the knowledge of medicinal species in local medical practices.A few plant families prominent in this study, such as Lamiaceae and Asteraceae, are reported as very diverse taxonomic groups in the literature. Their high diversity probably reflects a greater amount of bioactive compounds [29], which may explain their prominence in this study and in similar ones in other regions [30, 31].Most medicinal plants used in the study area are exotic herbs that usually grow in anthropogenic areas, such as agricultural fields, gardens, and roads. Other studies performed in forest environments in different regions have shown that traditional communities select anthropogenic areas as important resource sources [32–36]. The frequent citation of herbs in the community of “Três Ladeiras” may be a consequence of the importance of this life form in anthropogenic areas, also due to the presence of strong bioactive compounds. In a study conducted in the same community, Gazzaneo et al. [15] also reported that more of the medicinal plants used by experts were herbs, collected mainly in the backyards of homes and small farms.According to Voeks [37], weeds are often abundant in easily accessible places and rich in bioactive compounds, and as a result they are widely represented in tropical medicinal floras.


## 4.2. Influence of Gender and Age on the Knowledge of Medicinal Plants

Women had greater knowledge of medicinal plants when compared to men in the community studied. That result was probably due to women being the caregivers for their families, a trend also observed in other studies [5, 38–40]. This scenario may also reflect the different activities performed by men and women in the community because the latter must dedicate themselves to their homes and families, which help them assimilate the knowledge they will need to keep their homes healthy at an earlier age. We should add that most species from the list of mentioned plants were exotic and herbaceous plants that are found in places women are more familiar with, such as backyards.The study showed that young informants had less knowledge of medicinal plants when compared to older ones, which can be attributed to a lack of interest in learning and practicing such knowledge in younger generations, who are increasingly influenced by modernization. Several studies have reported similar results [38, 41–45]. It is also important to notice that older people are more experienced and have had greater contact with plant resources and time to exchange knowledge with other informants from the region. Moreover, older people are more often affected often by various illnesses, which may help to increase their repertoire of plants and indications. In addition, they are responsible for preparing home remedies for themselves and for younger people, favoring the retention of knowledge and prompting younger individuals to use the plant resource without necessarily having knowledge of the remedy or its preparation.


## 4.3. Analysis of the Knowledge of Medicinal Plants between Local Experts and the General Community

This research showed that studies focused on experts can generate useful information, with a satisfactory level of reliability. But these are eminently suitable for quick diagnosis about the knowledge and use of medicinal plants in a community. That approach has the advantage of minimizing costs and time when collecting ethnobotanical data in the community surveyed. However, studies aiming to gather such information in greater detail should ideally engage other members of the community. That may prevent a large number of known species from being neglected. Vandebroek [46] reports that the careful selection of informants is a key task of the ethnobiologist and cannot be a simple step. The author suggests that, for a scientifically rigorous research, should be involved as many participants as possible, but if time is really a limiting factor, it is necessary to select key informants who have a high degree of knowledge about plants in the region as well as a high level of consensus with others.Within this scenario, the association between both groups of informants is also possible [45–47]. In fact, the information gathered from key informants (experts) in those studies helped prepare semistructured forms and consensus analyses among informants. In some cases, local experts are used as facilitators for data collection, accompanying the researcher during interviews with other members of the community. These studies serve as examples of the advantages and limitations of different informant profiles and emphasize the importance of clearly establishing the goals the researcher hopes to achieve to best engage the most appropriate informants.It should be noted, additionally, that there was a five-year interval between the data obtained from local experts and the general community. The influence of such a gap could not be measured or controlled, given the sampling design of each study and the dynamic character of human knowledge, and this limitation restricts the possibility of extrapolating the considerations discussed here. Moreover, we could not completely rule out the possibility that the so-called local expert informants have been added to the sample of the present study.



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*Source: 679373-2011-11-03.xml*