Open Access

Evidence of the shifting baseline syndrome in ethnobotanical research

  • Natalia Hanazaki1Email author,
  • Dannieli Firme Herbst1, 2,
  • Mel Simionato Marques1, 3 and
  • Ina Vandebroek4
Journal of Ethnobiology and Ethnomedicine20139:75

DOI: 10.1186/1746-4269-9-75

Received: 23 September 2013

Accepted: 8 November 2013

Published: 14 November 2013

Abstract

Background

The shifting baseline syndrome is a concept from ecology that can be analyzed in the context of ethnobotanical research. Evidence of shifting baseline syndrome can be found in studies dealing with intracultural variation of knowledge, when knowledge from different generations is compared and combined with information about changes in the environment and/or natural resources.

Methods

We reviewed 84 studies published between 1993 and 2012 that made comparisons of ethnobotanical knowledge according to different age classes. After analyzing these studies for evidence of the shifting baseline syndrome (lower knowledge levels in younger generations and mention of declining abundance of local natural resources), we searched within these studies for the use of the expressions “cultural erosion”, “loss of knowledge”, or “acculturation”.

Results

The studies focused on different groups of plants (e.g. medicinal plants, foods, plants used for general purposes, or the uses of specific important species). More than half of all 84 studies (57%) mentioned a concern towards cultural erosion or knowledge loss; 54% of the studies showed evidence of the shifting baseline syndrome; and 37% of the studies did not provide any evidence of shifting baselines (intergenerational knowledge differences but no information available about the abundance of natural resources).

Discussion and conclusions

The general perception of knowledge loss among young people when comparing ethnobotanical repertoires among different age groups should be analyzed with caution. Changes in the landscape or in the abundance of plant resources may be associated with changes in ethnobotanical repertoires held by people of different age groups. Also, the relationship between the availability of resources and current plant use practices rely on a complexity of factors. Fluctuations in these variables can cause changes in the reference (baseline) of different generations and consequently be responsible for differences in intergenerational knowledge. Unraveling the complexity of changes in local knowledge systems in relation to environmental changes will allow the identification of more meaningful information for resource conservation.

Keywords

Traditional ecological knowledge Ethnoecology Intra-cultural variation Environmental perception

Background

Traditional ecological knowledge (TEK) is an important component in the improvement of natural resource management [14] and in the practices related to protection of ecosystems and species [5]. This kind of knowledge is developed by local communities through adaptive experiences with natural resources. It is dynamic and continuously modified, yet generally little emphasis is given to understanding changes as adaptive responses to new environmental, social, and economic conditions [6]. Such changes can also be related to a “loss of knowledge”, especially when the social reproduction of people holding TEK is at risk, resulting in the loss of local knowledge systems. The loss of local knowledge can result in a diminished ability to cope with environmental alterations, and also can be related to a changing baseline in the perception of natural resources.

These different references in relation to a baseline can be understood under the  shifting baselines syndrome’, proposed by Pauly [7] in a seminal paper describing the reasons and implications of a syndrome occurring among fishery scientists. Pauly [7] noticed that each generation of scientists considers as a baseline the abundance and composition of species observed at the beginning of their careers, and use this baseline to evaluate changes along time. Following the discussion of this syndrome some authors argue that a similar trend may be occurring among fishermen [812], in studies about forest cover changes [13, 14], bird fauna, and agriculture [15].

This syndrome allows a historical approach in assessing an environment, which can be combined with aspects of the current local situation [16]. For a study on shifting baseline it is necessary to analyze information on processes of change in the environment, resources, or any other conditions, using the perception of the people who observe or follow this process [4].

One of the problems is that, for several areas and species, there are no well-known starting points, or baselines [16]. This indicates a potential weakness in studies where researchers may not be comparing the environment (or a resource) from an earlier baseline, since reference points are considered dynamic. Combining data from different sources may be the only way to derive trends on the shifting baseline syndrome, when no consistent historical data is avaliable [17].

Ethnobotanical research addressing the shifting baseline on vegetation or plant resources is still very scarce and recent [13, 14]. Similar to changes in fish stocks observed under the shifting baseline perspective, vegetation and forest cover change over time; along with it people’s perceptions about plant species and landscapes are also subject to change, yet those changes may remain unnoticed or underperceived by different generations. Several factors resulting from socioeconomic changes influence landscape alterations and the use and availability of plant resources, such as monoculture farming, real estate speculation, tourism, and urbanization, among others. As changes occur in social, economic and environmental conditions at a given location, it is expected that local people’s knowledge also changes between different generations [18]. These changes can be accompanied by a gradual accommodation of people’s perceptions, with which the dynamics of reference points are directly related. If changes in vegetation, terrestrial landscapes and the co-ocurrence of people’s accommodations of these changes (for example through studies of plant knowledge across different generations) were analyzed together, then there would be a better understanding of people’s tolerance in relation to biodiversity loss.

The main objective of this paper is to analyze the ideas behind the shifting baseline in the context of ethnobotanical research. Evidence of the shifting baseline syndrome can be found in studies dealing with intracultural variation of knowledge, when knowledge from different informant generations is compared and changes in the environment and/or resources are also mentioned. In other words, we are assuming that there is evidence of shifting baseline in a study when: (1) research data in the paper point to differences in intergenerational knowledge, with knowledge being lower in younger generations; (2) local community members or the researchers themselves mention that one or more biological resources are disappearing. The latter information was most often encountered in the papers as anecdotal evidence. Our main argument is to reinforce the role of this evidence of environmental change when analyzing age differences found in studies dealing with the distribution of ethnobotanical knowledge in a given group. A review of ethnobotanical studies was conducted, which investigated age differences and changes in local knowledge. The intent is to add more elements to the analysis of traditional knowledge in ethnobotany, where traditions and transformations are intrinsically mixed.

Methods

We used the bibliographic databases Scopus, Biological Abstracts and Medline for this review, covering studies published between 1993 and 2012. The goal was to select studies with comparisons of ethnobotanical knowledge according to different classes of age or age groups, in order to make inferences regarding changes in baselines interfering in people’s perceptions. Thus, the variable “age” was a priority for the selection of studies, recognizing that there are other important variables influencing the ethnobotanical repertoire. In this search the keyword “ethnobotany” was used added to a combination of expressions: “shifting baseline”, “age”, “age comparisons”, “older” and “younger”, “age class”, “age group”, “knowledge”, “knowledge loss”. A total of 168 studies were found, of which 84 were selected for analysis, according to two inclusion criteria: the studies had to involve age group comparisons of ethnobotanical knowledge and to show results on, or discuss changes in, the abundance of local plant resources. Excluded were studies, for example, that focused on the ethnopharmacology of a given plant without information about age comparisons.

Analysis consisted of ranking the papers from the literature search into four categories: (1) evidence of shifting baseline; (2) no evidence of shifting baseline; (3) no changes in knowledge occur; and (4) ambiguous. We considered “evidence of shifting baseline” when a paper showed differences in intergenerational knowledge (lower knowledge levels in younger generations) and mentioned declining abundance of natural resources (through own research or from the literature). “No evidence of shifting baseline” occured when there were intergenerational differences in knowledge but there was no information in the paper about the environment or abundance of natural resources. “No changes” was when there were no intergenerational differences, usually when knowledge was widely shared, independent of perceived changes in the environment. Some studies were not clear about evidence of declining of resources or changes in the environment and were considered “ambiguous”.

After analyzing the studies for evidence of the shifting baseline syndrome, we also searched within these studies for the use of the expressions “cultural erosion”, “loss of knowledge”, or “acculturation”. These concepts are often used to explain differences in knowledge and perceptions occurring in different age classes. We believe that these concepts should be treated with a lot of caution, since one cannot conclude straightforward that there is a process of cultural erosion, acculturation, or loss of knowledge when simply making comparisons between observed knowledge in different age groups. First of all, learning and experiences require time. Therefore, an alternative explanation is that older people tend to accumulate knowledge over time compared to younger people. Second, older people have different perceptions than younger people because their reference points are different.

Results

The 84 selected studies (Table 1) comprised ethnobotanical research from different parts of the world, predominantly Brazil (17 studies) and Ethiopia (13 studies), followed by Argentina, Burkina Faso, and Mexico (5 studies each), India and Peru (3 studies each), and lastly Benin, Italy, Kenya, Micronesia, Phillipines, Spain, Thailand, Turkey and Uganda (2 studies each). Fifteen studies were conducted in other countries. Some of these studies included more than one paper published from the same original dataset (e.g. [1922]), and in this case we analyzed their results as a group to avoid pseudo-replication.
Table 1

Studies analyzed, studied region, and type of resource

Reference

Studied region

Resource

Albino-García et al. [23]

Puebla, Mexico

weeds

Albuquerque et al. [24]

Northeastern Brazil

medicinal plants

Almeida et al. [25]

Northeastern Brazil

medicinal plants

Almeida et al. [26]

Northeastern Brazil

medicinal plants

Awas et al. [27]

Blue Nile, Ethiopia

useful plants

Ayantunde et al. [28]

Southwestern Niger

herbaceous and woody plants

Badshah and Hussain [29]

Pakistan

medicinal plants

Balslev et al. [30]

Peruvian Amazon

uses of one species

Bognounou et al. [31]

Burkina Faso

uses of five species

Brosi et al. [32]

Pohnpei, Micronesia

plants used for canoe building

Caniago and Siebert [33]

West Kalimantan, Indonesia

medicinal plants

Carbajal-Esquivel [34]

San Luis Potosí, Mexico

food plants

Case et al. [35]

Papua New Guinea

useful plants, with medicinal emphasis

Cilia-Lopez et al. [36]

San Luis Potosí, Guanajuato, Querétaro, Mexico

uses of one species

Cruz-García [37]

Western Ghats, India

wild food plants

De Beer and Van Wyk [38]

Northern Cape Province, Southern Africa

useful plants

De Caluwé et al. [39]

Northern Benin

uses of one species

Della et al. [40]

Cyprus

wild food plants

Eilu et al. [41]

Tororo, Uganda

indigenous plants

Esser et al. [42]

Ethiopia

uses of one species

Estomba et al. [43]

Patagonia, Argentina

medicinal plants

Estrada-Castillón et al. [44]

Sierra Madre Oriental, Mexico

medicinal plants

Figueiredo et al. [45]

Sepetiba Bay, Brazil

medicinal plants

Flatie et al. [46]

Assosa Zone, Ethiopia

medicinal plants

Franco and Barros [47]

North/Northeastern Brazil

medicinal plants

Ghorbani et al. [48]

Yunnan, China

wild food plant

Giday et al. [49]

Southwest Ethiopia

medicinal plants

Giday et al. [50]

Meinit-Goldya, Ethiopia

medicinal plants

Giday et al. [51]

Southwest Ethiopia

medicinal plants

González et al. [1922]

Spain

medicinal, cosmetic, repellent and edible plants

Hanazaki et al. [52]

Southeast Brazil

useful plants

Houessou et al. [53]

Benin

uses of one species

Idolo et al. [54]

Italian Apennines

useful plants

Karunamoorthi and Husen [55]

Oromia, Ethiopia

repellent plants

Karunamoorthi et al. [56]

Ethiopia

repellent plants

Karunamoorthi et al. [57]

Kofe Kebele, Ethiopia

repellent plants

Kristensen and Balslev [58]

Nazinga Game Ranch, Burkina Faso

woody plants

Kristensen and Lykke [59]

Burkina Faso

woody plants

Lacuna-Richman [60]

Leyte Island, Philippines

non-timber forest resources

Ladio [61]

Patagonia, Argentina

wild edible plants

Ladio and Lozada [62]

Patagonia, Argentina

wild edible plants

Lee et al. [63]

Micronesia

food plants, plants for fish poison and canoes

Lima et al. [64]

Central Brazil

native trees

Lins Neto et al. [65]

Northeast of Brazil

uses of one species

Luziatelli et al. [66]

Junín, Peru

medicinal plants

Lykke et al. [67]

Burkina Faso

woody plants

Lyon and Hardesty [68]

Madagascar

medicinal plants

Martínez and Lujan [69]

Central Argentina

veterinary plants

Matavele and Habib [70]

Mozambique

medicinal plants

Mathez-Stiefel et al. [71]

Bolivia and Peru

medicinal plants

Mcmillen [72]

Tanga, Tanzania

medicinal plants

Merétika et al. [73]

Southern Brazil

medicinal plants

Miranda et al. [74]

Southeast Brazil

useful plants

Monteiro et al. [75]

Northeastern Brazil

uses of two species

Olowa et al. [76]

Phillipines

medicinal plants

Panghal et al. [77]

India

medicinal plants

Phillips and Gentry [78]

Madre de Dios, Peru

useful plants

Polo et al. [79]

Spain

uses of one species

Quave et al. [80]

Southern Italy

medicinal plants for dermatological problems

Quinlan and Quinlan [81]

Dominica

medicinal plants

Ramos et al. [82]

Northeastern Brazil

fuelwood

Rana et al. [83]

India

wild edible plants

Sarper et al. [84]

Turkey

wild plants

Schunko et al. [85]

Austria

wild plants

Seid and Tsegay [86]

South Wollo, Ethiopia

medicinal plants

Silva and Proença [87]

Central Brazil

medicinal plants

Silva et al. [88]

Northeastern Brazil

medicinal plants

Silva et al. [89]

Northern Brazil

fruits and plants

Simsek et al. [90]

Turkey

wild plants

Smith-Oka [91]

Veracruz, Mexico

medicinal plants

Sop et al. [92]

Burkina Faso

woody plants

Srithi et al. [93]

Thailand

medicinal plants

Srithi et al. [94]

Northern Thailand

medicinal plants

Stave et al. [95]

Turkana, Kenya

woody plants

Tabuti et al. [96]

Uganda

medicinal plants

Tanaka et al. [97]

United States

medicinal plants

Teklehaymanot [98]

Dek Island, Ethiopia

medicinal plants

Terer et al. [99]

Kenya

uses of one species

Toledo et al. [100]

Central Argentina

medicinal plants

Uprety et al. [101]

Nepal

wild edible plants

Voeks and Leony [102]

Northeastern Brazil

medicinal plants

Yineger and Yewhalaw [103]

Ethiopia

medicinal plants

Yineger et al. [104]

Jimma Zone, Ethiopia

medicinal plants

Zuchiwschi et al. [105]

Southern Brazil

woody plants

The keywords used in the search resulted in a compilation of studies with different goals. Nonetheless, all studies analyzed ethnobotanical knowledge according to the age of informants. Articles were grouped by their similarity of plant uses (e.g. medicinal plants, food plants, Table 1). The studies also differed in level of detail when defining the resource type analyzed. Forty four percent of studies focused on medicinal plants (Figure 1), which included detailed uses such as “medicinal plants for dermatological problems” [80] and studies that concerned the generic grouping of medicinal plants (e.g. [66]). The category “general uses” included studies investigating a set of useful plants (e.g. [38]), herbaceous and woody plants for general uses (e.g. [28]), and indigenous plants (e.g. [41]). Some studies investigated the uses of one (e.g. [79]) or a few species (e.g. [31]) and were included since the choice to investigate their ethnobotany is already biased by the local importance of those species. Studies of food plants included studies of edible wild plants (e.g. [83]) and food plants in general, including fruits (e.g. [89]).
https://static-content.springer.com/image/art%3A10.1186%2F1746-4269-9-75/MediaObjects/13002_2013_Article_374_Fig1_HTML.jpg
Figure 1

Types of plant resources investigated in 84 studies on ethnobotany and age comparisons (“other” includes plants with veterinary purposes and plants used to build canoes). Values in percentage.

Sampling methods and data collection varied according to the objectives of each study. Data collection through interviews included both intentional sampling, and systematic sampling, the latter being a sampling procedure with a higher degree of randomness. Other data collection tools included focus group discussions and participative workshops. Sample sizes were highly variable (Figure 2), ranging from 13 subjects [104] to more than 90,000 subjects [97]. There was also diversity among ecosystems and human groups studied, as well as types of data analyzed. For example, although most studies focused on the knowledge about plant resources, there were studies dealing with knowledge associated with the broad use of a given resource, such as in Brosi et al. [32] who studied knowledge of canoe building as a whole.
https://static-content.springer.com/image/art%3A10.1186%2F1746-4269-9-75/MediaObjects/13002_2013_Article_374_Fig2_HTML.jpg
Figure 2

Number of subjects or interviews (sample units) from the 84 studies on ethnobotany and age comparisons.

It is important to consider that the comparison between age classes is relative, not absolute. Therefore, age classes vary among the studies. In some studies they were set at intervals of approximately 5 years [24, 57] or 10 years [35, 88]. Other studies separated the informants into two age groups, usually 40 years of age being the boundary between the groups [45, 4952, 65, 70, 89], although this boundary varied depending on the location studied. For example, Flatie et al. [46] split informants into two age groups: those with more than 15 years of age and those younger than 15 years. In other studies comparisons were done without creating specific age classes [31, 59, 76, 82, 83, 95, 100, 104]. Lastly, some studies did not clearly define how the separation between age groups was done [30, 37, 40, 41, 47, 93].

Over half of the 84 studies discussed a concern towards cultural erosion or knowledge loss (57%), using these arguments to explain the results found. These arguments were absent in 43% of the studies. Sometimes these expressions were used with a more detailed discussion of occurring changes, such as Quinlan and Quinlan [81] who considered the subtle and complex effects of modernization on traditional medicine. Other authors mentioned cultural erosion or loss of knowledge, but considered that these phenomena would not occur in their case because ethnobotanical knowledge was widely shared (e.g. [59, 95]). We also need to keep in mind that the dominant epistemological paradigms to explain observed phenomena can change over time, and the concept of “cultural erosion” could become replaced by more recent ideas linked to adaptability and environmental change.

More than half of the 84 articles (54%) showed some evidence of the shifting baseline syndrome, through the existence of intergenerational differences in knowledge and information about the declining of biological resources reported by local community members or by the researchers. Usually the researchers made that observation anecdotally, either from reports by participants, or from their own observation of the local situation (Figure 3). Some of these evidences were subtle, such as in Eastern Uganda where “some indigenous plants were reported to have disappeared or become scarce” [41]. Similarly, in southern Madagascar, traditional medicine might not be threatened by the loss of primary forest, because people can turn to exotic plants from disturbed locations [68]. About 37% of the studies did not provide any evidence of shifting baselines, generally by not taking into account any reported or literature information about the environment or the abundance status of plant resources, but also because they did not show any intergenerational differences about the decline of resources reported or any knowledge changes. In 7% of the studies there were no intergenerational differences and knowledge was widely shared, and this could be independent of perceived changes in the environment. Interestingly, these studies were predominantly those that investigated the use of one or a few species [30, 39, 42], which tended to be selected for research precisely because they were culturally important species. In a small percentage of articles, the evidence appeared to be ambiguous. For example, in a preserved region studied by Idolo et al. [54], none of the species with reported past uses had gone extinct in the area, but less than a quarter of uses previously recorded were still present in people’s life, showing that the resources are likely to be available, but few of them currently in use. Thus, we could not clearly infer if there was evidence of shifting baseline in this case.
https://static-content.springer.com/image/art%3A10.1186%2F1746-4269-9-75/MediaObjects/13002_2013_Article_374_Fig3_HTML.jpg
Figure 3

Possible evidence of shifting baselines syndrome from 84 studies on ethnobotany and age comparisons. Evidence supporting shifting baselines occur when there are age differences in combination with environmental changes reported by informants or the authors (see Methods for further details).

Discussion and conclusions

This article illustrates the complexity of perspectives on plant knowledge at different ages. Declining knowledge due to disruptions in the social transmission of knowledge between generations has been widely reported in ethnobotanical studies (eg. [29, 40, 51, 80], in several cases to a worrisome degree. The results highlighted in this paper show that, in addition, it is necessary to pay concurrent attention to the status of environmental changes that may reflect declining plant resources. Such ecological changes that contribute to the loss or declining availability of plants obviously can also lead to the loss of valuable information within traditional knowledge systems [27], and this is mediated by changes in people’s perceptions about these resources.

Knowledge variation over generations has been explained in different ways. Some authors associate intergenerational variations, in ethnobotanical repertoires, with loss of knowledge [35, 52], acculturation [106], or modernization [81]. For resources such as medicinal plants, it is argued that there exists a trend in which this knowledge is acquired over the life of each individual, and accumulated in older age groups as compared to younger people [76, 78]. Therefore, considering that more than one third of all studies analyzed in this paper focused on medicinal plants, age was identified as a major factor influencing ethnobotanical knowledge [45, 68, 86, 93, 104]. A counterpoint is provided by Luziatelli et al. [66], who considered that although there is a general trend towards acquiring medicinal plant knowledge throughout age, much of the variation between informants can be explained by personal interests and also by their relationship with a local healer, demonstrating the individual influence in knowledge transmission and maintenance. In another study, young healers who had many practicing family members had a similar amount of plant knowledge as older, more experienced healers with a smaller social entourage [107]. The authors concluded that the social component of medicinal plant knowledge may explain these results. Strong family ties enable young healers to assimilate knowledge about medicinal plants rapidly from experienced relatives, while older healers with few practicing family members but many years of experience with medicinal plants also had high knowledge scores.

Another explanation for higher medicinal plant knowledge among older people is the lack of interest from youth regarding these resources and associated practices [26, 47, 50, 73, 88, 104], as well as the type of health services predominating among younger people and their accessibility [45, 70, 73, 81], and changes in lifestyle and the environment in terms of availability of plant resources [86]. The argument here is that decreasing knowledge and declining plant resources can be phenomena that are occurring together. It is not the goal here to find out which came first, but to acknowledge their combined effects and to recognize possible long term consequences in shifting environmental baselines regarding plant resources. Additionally, deforestation and lack of access to traditional resources (such as harvesting prohibitions due to environmental regulations) can both affect traditional knowledge of medicinal plants, making “erosion of knowledge” a complex process [24, 90], which can be reinterpreted according to new theoretical perspectives and insights in scientific discourse that emerge over time. Conclusions about cultural erosion need to take into account local community voices. Community members compare the current environment and species composition with preterit situations experienced, and thus can be better actors than scientists to draw conclusions about cultural erosion.

It is a limitation to use the number of species cited by each informant as the main (or only) variable to evaluate people’s knowledge because knowledge may be transformed [81, 108], although it allows general comparisons. Perhaps it is not enough to analyze the dynamics of knowledge as a whole and to conclude that knowledge is being lost. We also need to consider the limitations of using plant names as a proxy for plant knowledge, since plant knowledge as a whole goes beyond the naming of plants. Also, plant names are not perfect correlated to the number of plant species, owing to under-differentiation (one local plant name refers to different botanical species) or over-differentiation (one botanical species is known by different local names).

It may be necessary to associate the number of plants recognized to the type of use, because while there is a decrease of knowledge for a category of plant (eg. medicinal plants), the knowledge can remain stable or increase compared to other categories of use [6]. Also, new plants may be added to ethnobotanical repertoires. Furthermore, to understand the dynamics of knowledge and complexity of the process of “loss” (or rather, transformation), researchers must analyze the changes that occurred in the context where this knowledge exists over time, as well as its causes. Gómez-Baggethun and Reyes-García [6] consider that few researchers are trying to understand how the causes of loss of knowledge affect the mechanisms that allow the societies to generate, regenerate, transmit and apply this knowledge.

In studies focused on food plants, there seems to be less evidence of knowledge misfits between different age groups, namely, the shifting baseline syndrome may not be occurring. This may happen because the contact and experience with those types of plant resources tend to be more evenly distributed within the population, even when one assumes knowledge to be patterned according to variables such as gender, social status, occupation and age itself. People usually have extensive contact with and depend on food plants since their childhood, and people usually experiment with them more often than with medicinal plants [78]. In addition, there is the secrecy aspect of medicinal plants in some human groups who recognize key individuals such as healers or herbalists (e.g. [107, 109]). In the case of studies about only one or a few species, these species tend to be widely used or have a widespread importance among the communities studied; therefore these studies do not provide evidence of changes in baseline.

Our main point of contention is that the general perception of knowledge loss among young people when comparing ethnobotanical repertoires among different age groups should be analyzed with caution. Almeida et al. [25] argued that this information was often used to infer incorrectly the relationship between acculturation and lack of knowledge. More attention should be given to the complexity of these changes. A comparison of knowledge about medicinal plants among Dominicans in rural and urban areas of the Dominican Republic and those who have moved to New York City showed that knowledge of food medicines was not affected by age, whereas younger people had less knowledge of nonfood medicines [108]. This indicated that ethnobotanical knowledge is still alive even in globalized contexts, challenging the paradigm of loss of knowledge about plants [108].

Sometimes medicinal plant knowledge does not depend only on the level of plant diversity, degree of modernization or absence of Western health care infrastructure; other social factors such as the healing tradition of the extensive family, can be also fundamental to the survival of medicinal plant knowledge [107]. Thus, a careful understanding of these complex transformation processes is needed [71]. This also includes an analysis of how the environment has changed over time and how these changes have affected plant resources as well as perceptions about these plant resources.

Baseline changes can be related to different issues that are sometimes linked. First, changes in the landscape or in the abundance of plant resources may be associated with changes in ethnobotanical repertoires held by people of different age groups. According to Sáenz-Arroyo et al. [8], there are some species of fish that may have been abundant in certain areas in the past, but currently exist only in historical documents and in the memory of some fishermen and researchers. The same type of phenomena can be observed in ethnobotanical research, in situations where some indigenous plants were reported to have disappeared or become scarce, due to natural causes (such as drought) and/or anthropogenic causes (such as uncontrolled harvesting, clearing for cultivation, firewood extraction, among others) [41]. These losses can be reflected in the ethnobotanical repertoires of local people. Even though our analysis was focused on age differences, we do not discard the role of other variables in this scenario, including changes in gender composition over time, or changes in other important variables such as education or main economic activites.

Second, the relationship between the availability of resources and the current practices of using plants rely on a complexity of factors. Changes in plant species composition over time may result from socio-cultural and economic changes affecting a given human group. Such changes can cause changes in the reference (baseline) of different generations and consequently resulting in a framework of different intergenerational knowledge. According to Baum and Meyers [110], information and knowledge of native species’ diversity and abundance from the recent past is not being transmitted to younger generations. This may be due to shifting patterns of communication between age groups (generations) or because particular resources may no longer be available or of interest. Some resources can come into disuse due to industrialization or technological facilities (such as firewood displaced by gas stoves or medicinal plants displaced by modern medicine). In another study, Rana et al. [83] considered several causes for knowledge loss, such as the association of wild food plants with low income. On the other hand, when comparing knowledge of mothers and children, Cruz-García [37] argued that all mothers used to consume more wild food plants before, and reported decreases in collection of these resources due to the decreasing availability of plants rather than to increasing social stigma.

Culture and knowledge are dynamic components in people’s lives, as well as the environment in which they live. According to Brosi et al. [32] people often change their techniques when easier methods become available, as part of a gradual cultural evolution. When investigating people’s knowledge about the environment and resources, as well as the dynamics of their knowledge and practices, both changes in the environment and in local livelihoods over time should be considered. Reports based on memories about the past situation of plant resources can be biased by the gradual acceptance of a new baseline [15]. Thus, complementary methodologies in studying human perception and knowledge are needed to reduce biases and assumptions that may arise from local ecological knowledge [17].

Despite the need to collect data that indicate changes in knowledge over time, as well as its causes, we have to assume that there exists a limitation of the human perception about changes in vegetation, because the knowledge about the environment’s past may not show an original condition. In other words, some changes that occurred over time may not be recorded or remembered by individuals and not be known by science [16]. Without historical knowledge about the environment or about a given species, the baseline will continue to change and the risk is gradual acceptance of increasingly lost of rare species [7, 8, 110]. It is essential to use an interdisciplinary approach, based on a wide variety of data to estimate historical changes and to understand the current changes in a social and historical context [11], since complementary data may support and provide reliability to informant’s reports. In the case of fish stocks and tree resources, older popular literature can be accessed, as well as naturalistic observations, photographs, ancient accounts [8], logbooks [17], monitoring of fish landings [7, 17], maps, and other historical data [14].

In the case of plant resources, historical data, old photos, aerial photos, satellite images, and other records of different times may detect changes in vegetation and support data on people’s perceptions of a particular site or resource. Methodologically, the most interesting would be the integration of different methods of collecting and analyzing data, in order to better understand the changes occurring over time and the origin of these changes. According to Godoy et al. [111] and Quinlan and Quinlan [81], we still have to face the problems derived from a lack of a reliable baselines to estimate changes in traditional knowledge, which can be partially solved through longitudinal studies replicating the same study in a given place after a time span [81]. Furthermore, comparative ethnobotanical studies spanning multiple generations become increasingly possible due to methodological standardization, which has occurred in the past two decades. Once the extent of the environmental changes and their causes are known, it becomes possible to better understand the changes in knowledge of different generations. Thus, more elements may be added to the simplistic argument of “acculturation” or “loss of knowledge”. Ethnobotany and other areas such as historical ecology can contribute to understanding the changes in reference points through critical analysis of intracultural variations in the perception of local stakeholders, involving both plant species and resources, as well as the landscapes that include them.

Declarations

Acknowledgements

We thank to CNPq research productivity scholarship (306895/2009-9) for N. Hanazaki; and to CAPES and PNADB masters’scholarships for D. Herbst and M. Marques. We thank to E.M. Nakamura for helping in the final editing.

Authors’ Affiliations

(1)
Laboratory of Human Ecology and Ethnobotany, Ecology and Zoology Department, Federal University of Santa Catarina, ECZ-CCB-UFSC
(2)
Post Graduation Program in Ecology, Federal University of Santa Catarina
(3)
Post Graduation Program in Plant Biology, Federal University of Santa Catarina
(4)
Institute of Economic Botany, The New York Botanical Garden

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

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