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Article

Regeneration Status and Role of Traditional Ecological Knowledge for Cloud Forest Ecosystem Restoration in Ecuador

1
Southern Swedish Forest Research Centre, SLU, Box 49, SE-230 53 Alnarp, Sweden
2
Instituto Nacional de Biodiversidad, Herbario Nacional del Ecuador, Av. Río Coca E6-115 e Isla Fernandina, 170129 Quito, Ecuador
3
Cambugan Foundation, Atacames N26-48 y, 170129 Quito, Ecuador
4
Institute of Environment and Agricultural Research (INERA), Ouagadougou BP 7047, Burkina Faso
*
Author to whom correspondence should be addressed.
This manuscript is part of a Ph.D. thesis by the first author, available online: https://pub.epsilon.slu.se/13425/1/mariscal_a_160531.pdf (accessed on 7 November 2021).
Forests 2022, 13(1), 92; https://doi.org/10.3390/f13010092
Submission received: 6 December 2021 / Revised: 29 December 2021 / Accepted: 7 January 2022 / Published: 9 January 2022
(This article belongs to the Special Issue Forest Restoration and Secondary Succession)

Abstract

:
The importance of forests for biodiversity conservation has been well recognized by the global community; as a result, conservation efforts have increased over the past two decades. In Ecuador, the lack of integrated information for defining and assessing the status of local ecosystems is a major challenge for designing conservation and restoration plans. Thus, the objectives of this study were (1) to examine the regeneration status of cloud forest remnants, some of which had experienced past human disturbance events, (2) to explore a local rural community’s traditional ecological knowledge (TEK) relevant for restoration and (3) to investigate the integration between TEK and ecological science-based approaches. A survey of regeneration status was conducted in four remnants of cloud forests (n = 16) in Cosanga, Napo Province, in the Andes of northeastern Ecuador. The species of young trees (0.5–5 m height) were identified over 0.16 ha. In-depth interviews of individuals from local communities (n = 48) were conducted to identify socio-ecologically important native species. The results showed significant differences (p < 0.001) in species richness and the stem density of seedlings and saplings in gaps. The stem density of Chusquea sp., a bamboo species, explained 63% of the variation in species richness and 48% of the variation in the abundance of seedlings and saplings between plots. Informants cited 32 socio-ecologically important species, of which 26 species were cited as sources of food and habitats for wildlife. The ranking of species based on a relative importance index and a cultural value index—taking into account both the spread of knowledge among local informants and the multiplicity of uses—revealed that Hyeromina duquei, Citharexylum montanum, Eugenia crassimarginata and Sapium contortum were traditionally the most valuable species for both humans and wildlife. Informants also recommended 27 species for future planting, of which 19 species were amongst the rarest species in the regeneration survey. In conclusion, the results demonstrate a synergy between TEK and ecological science-based approaches (regeneration survey) to natural ecosystem research. Thus, traditional ecological knowledge can provide insights into ecosystem–plant–animal interaction, and to identify native species useful for both humans and wildlife for forest restoration projects to reconnect isolated cloud forest fragments.

1. Introduction

The importance of forests for biodiversity has been well recognized by the global community; as a result, conservation efforts have increased over the past two decades [1]. In Ecuador, deforestation and forest degradation has dated back to pre-Hispanic colonization, when human occupation of the cloud forest belt had rendered the cloud forest fallow [2]. During the colonial period, native forests were unscrupulously exploited for timber, which was later exacerbated by increasing human populations [3] and poor forest development policies that promoted reforestation programs using exotic species [4,5,6]. In addition, a resettlement policy promoted by governmental institutions, especially in the Amazon and the Andean Choco Regions of Ecuador, between 1960 and 1990 has resulted in extensive clearance of the natural forests [7,8,9,10]. In spite of ongoing degradation, conservation efforts, including passive forest restoration, have appeared in some rural areas of Ecuador [11,12,13,14,15], which are led by nonprofit environmental organizations, local communities and associations of private landowners, over the past few decades [10,15,16,17,18].
Furthermore, several governmental and private initiatives have been established to produce timber, generally based on the use of exotic species [4,9,19]. The choice of tree species for restoration using native species can influence both the rate and trajectory of restoration processes and determine the success of restoration projects [20,21]. Ideally, the species selected for restoration endeavors should tolerate the prevailing environmental conditions of the degraded site, and have diverse ecological importance and the ability to generate economic benefits for the local population [21,22]. Native species could also provide local ecological benefits, such as food as leaves, flowers and fruits for the native fauna, which can subsequently aid in pollination and the dispersion of seeds [23].
Emerging evidence shows that traditional ecological knowledge (TEK) can fill crucial gaps in our ecological understanding [24,25,26,27]. TEK is defined as a “cumulative body of knowledge, practice, and belief, evolving by adaptive processes and handed down through generations by cultural transmission, about the relationship of living beings (including humans) with one another and with their environment” [28]. Unlike indigenous knowledge (focusing on a particular ethnic group or indigenous people), TEK focuses more on a local culture and their interactions with their biotic and abiotic environment [29,30], ranging from cursory awareness of natural histories associated with local wildlife to cultural norms for land management and resource allocation. It is a dynamic process that co-evolves with the ecosystem and the needs of local communities, thus serving as an information base for a society, facilitating communication and decision making, and as a foundation for local institutions.
The contribution of TEK to the management and conservation of natural resources has been well recognized and utilized over the past few decades [26,31,32]. However, its present or potential contribution to restoration ecology has not been well studied. As a result, the integration of traditional knowledge in restoration planning still remains undervalued in many parts of the world, including Ecuador. The general premise for the role of TEK in restoration is that natives, and even groups of settlers, often interact with a landscape for extended periods of time, bringing cost-effective knowledge, and even new information from other environments, which could be relevant for use in local restoration programs. A recent review also demonstrates that TEK can contribute to all aspects of ecological restoration, from the reconstruction of the reference ecosystem and adaptive management to species selection for restoration and monitoring and the evaluation of restoration outcomes [33].
Not all traditional practices and belief systems are ecologically sound and adaptive due to ecosystem degradation or lost knowledge, or from changing conditions, with local ethno-ecological knowledge becoming stagnant and/or irrelevant over time [34]. There is, however, supporting evidence that demonstrates the synergy between TEK and the protection of the natural environment and the possibility to integrate this knowledge within a science-based approach that could contribute to the maintenance of both nature and cultural values [27,30,31].
Thus, this study was conducted in Cosanga, Napo Province, in the Andes of northeastern Ecuador, which is identified as a global biodiversity hotspot [35], to examine the synergy between TEK and ecological science-based approaches to the restoration of degraded cloud forests. In the study area, it is still possible to find remnants of cloud forests within public protected areas and in private ownership, with some private owners interested in conserving the forests and establishing corridors to connect the forest patches for bird watching and ecotourism purposes. The objectives of the study were (1) to examine the regeneration status of cloud forest remnants, considering previous human disturbance events, (2) to explore traditional ecological knowledge relevant for future restoration purposes and (3) to evaluate the potential integration of TEK and science-based approaches. The study specifically aimed at answering the following research questions: To what extent does past human disturbance influence the regeneration of cloud forest species? Does the population density of the disturbance indicator species explain the lack of regeneration? Is there traditional ecological knowledge in Cosanga that is relevant for conservation and restoration purposes? What are the implications of TEK for the restoration of disturbed cloud forests and the conservation of forest biodiversity?

2. Materials and Methods

2.1. Study Site

The present study was conducted in Cosanga, Napo Province, in the Andes of northeastern Ecuador, which lies between 0°30′39″–0°33′4″ N latitude and 77°50′39″–77°55′40″ W longitude [16]. The Cosanga parish, established officially in 1961, is located between the boundaries of two nature reserves, Sumaco and Antisana, and close to the Sumaco Biosphere Reserve buffer zone with a total area of 401.2 km2 (Figure 1). Its vegetation type is characterized as tropical mountain cloud forest (accounting for 10% of the land cover), highland mountain forest and Páramo vegetation (dense alpine vegetation growing on a thick mat of sponge-like, highly absorbent mosses and grasses). The annual rainfall averages between 2500 and 3500 mm per year and the mean monthly temperatures range from 15 to 17 °C, and the general climate is best described as cool and rainy. The forest soil is predominantly Cambisol, with spatial heterogeneity in waterlogged conditions.
For the regeneration survey, four remnants of cloud forests, namely, Vinillos Antisana, Vinillos Sumaco, San Isidro and Yanayacu, were selected based on the local knowledge of the area of the conservation guides and discussions with experts and owners of the forest remnants. The Vinillos Antisana forest remnant is located in the reserve’s lower northeast corner, in which we worked in an area of around 40 ha, of which around 50% lies on steep slopes. The remnant forests at Vinillos Sumaco, San Isidro and Yanayacu are privately owned, and inside each of those private forestlands, we worked in areas of around 40 ha. These forests are dedicated to promoting the conservation of the native forest in Cosanga by their respective owners, including Yanayacu Biological Station, San Isidro, Sierra Azul, San Jorge and Chontayacu [16,18,36]. These forest remnants are important for local wildlife conservation and for generating ecotourism, research and education opportunities for the local communities. During the fieldwork, signals of disturbance, such as timber extraction and the dominance of Chusquea sp. (a diverse genus of bamboos), which is a typical indicator of past anthropogenic disturbances, were observed.

2.2. Regeneration Survey

In each cloud forest remnant, four sub-blocks of five ha were delineated, and within each sub-block, six transect lines, 150 m long and 30 m wide, were laid. Along each transect line, an observation of all gaps was made to randomly select the four biggest gaps. In the center of each selected gap, a plot of 10 m × 10 m was established, and all woody species from 0.5 to 5 m in height were identified and counted. Most of the species were identified in situ during the inventory, and those that were difficult to identify in the field were collected and taken to the National Herbarium of Ecuador for identification by taxonomy experts. Voucher specimens were deposited at the same herbarium. The number of individuals of the disturbance indicator species, Chusquea sp., was also counted in each gap during the inventory.

2.3. Survey of Traditional Ecological Knowledge

Based on information relating to the tree species present in the cloud forest remnants, we prepared a semi-structured ethno-ecological survey, which was conducted in 2014, in order to find out the trees species that are important for the local population and wildlife. Information was gathered through two semi-structured, in-depth interviews of 48 informants, who were randomly selected from a list from the Cosanga Cattle Producers Association, which has 102 members. To obtain representative samples, the informants were randomly selected from 14 study sites close to the cloud forest remnants where the young tree regeneration survey was conducted. During the interview, the following data were gathered: demographic data of the informants, land use history, knowledge of native tree species with a consideration of human and wildlife uses, species recommended for planting and future farmland use plans. The interview about species and their uses was conducted in two steps. First, open questions were posed to every informant in order to determine their level of knowledge of different local tree species and their uses (e.g., medicine, food, timber, wildlife habitat). In the subsequent interview, a list of 28 species, together with photos, selected based on a survey of remaining cloud forests and group discussions with conservation experts, was presented to the informants, and the informants were asked whether they knew the species and to mention their importance for human and wildlife uses.

2.4. Data Analyses

Species richness and the abundance of individuals in the regeneration phase were computed for each forest block within each remnant of cloud forests according to growth habits (tree versus treelets). A two-way analysis of variance was performed to examine significant differences in species richness and abundance among forest remnants and growth habits, considering the density of the disturbance indicator species as a covariate. Means that exhibited significant differences were further compared using Tukey’s test. To further explore the relationship between the population density of the disturbance indicator species and species richness and abundance, linear regression analysis was performed using the R program [37].
Data related to TEK were analyzed using descriptive statistics and quantitative indices. For each species, use reports (UR), defined as the sum of the number of informants (i) who mentioned the use of the species, s, in the use category, u, were computed as follows [38]
UR s   = u = 1 NC i = 1 N UR ui .
First, the UR of all the informants (from i = 1 to N) within each use category for that species (s) were summed; then, all the UR of each use category (from u = 1 to NC) were summed to obtain the total number of use reports of the species. The socio-ecological importance of each tree species was compared using three quantitative indices: the relative frequency of citation (RFC), the relative importance index (RI) and the cultural value index (CV), which are robust quantitative methods used in ethno-botanical studies [38,39,40]. The relative frequency of citation of a species (RFCs) was obtained by dividing the number of informants who mention the use of the species, also known as the frequency of citation (FCs), by the number of informants participating in the survey (N), as expressed below:
RFC s   = FC s N
Theoretically, RFCs values vary between 0, when nobody mentioned any use of the species, and 1, when all informants would mention the use of the species.
The relative importance of a species (RIs) was computed by combining both the frequency of citation and the number of use categories (NU) using the following formula:
RI s = RFC s ( max ) + RNU s ( max ) 2
RFCs (max) is the relative frequency of citation over the maximum, obtained by dividing FCs by the maximum value for all the species of the survey; i.e., RFCs (max) = FCs/max (FC). RNUs (max) is the relative number of use categories over the maximum, and is obtained by dividing the number of uses of the species by the maximum value for all the species of the survey; i.e., RNUs (max) = NUs/max (NU). The RI index theoretically varies between 0, when nobody mentions any use of the plant, and 1, when the plant was the most frequently mentioned as useful and in the maximum number of use categories.
The cultural value index of a species (CVs) is computed by combining the number of different uses reported for the species (NUs), the relative frequency of citation of the species (FCs) and the sum of all the UR for the species (URui) relative to the sum of all the UR for the species (NC) and the total number of informants, N. The equation can be expressed as follows:
C V s = [ N U s N C ] × [ F C s N ] × [ u = 1 N C i = 1 N U R u i / N ]  
CVs reaches its theoretical maximum value if all informants would mention the use of the species (FCs = N) in all the use categories considered in the survey (NUs = NC); thus, the first two factors would be equal to 1, while the third factor would vary from 0 to NC.

3. Results

3.1. Regeneration Status

A total of 154 species were recorded in gaps of remnant cloud forests, of which 76 species were trees and 82 species were treelets, 13 were unidentified and one was identified at the genus level. The total stem density/ha was 18 375, of which trees accounted for 44% and treelets for 56%. Piper kelleyi Tepe was the most abundant treelet species (1675 stems/ha), while Erythrina edulis Triana ex.Michli was the most abundant tree species (1300 stems/ha) representing the regeneration community in gaps. We recorded the 10 rarest species (6 stems/ha) in the tree and treelet communities. A complete list of species together with stem density/ha is presented in the Appendix A.
At the plot level, significant differences in species richness and stem density were detected among cloud forest remnants and between growth habits (Table 1). There was also an interaction effect of forest remnants and growth habits on species richness, while the covariate (the density of the disturbance indicator species) had significant effects on both species richness and stem density. The species richness of treelets was higher than that of trees in Vinillos Antisana and Yanayacu compared to San Isidro, Vinillos Sumaco and Yanayacu (Table 2). Stem density, i.e., the averaged overall levels of growth form, was higher in Vinillos Antisana than in San Isidro and Yanayacu, while the stem density of treelets was higher than that of trees (Table 2).
The density of the disturbance indicator species was lower in Vinillos Antisana than in San Isidro, Vinillos Sumaco and Yanayacu (Table 2). The regression analysis revealed a negative relationship between the stem density of the disturbance indicator species and species richness (Figure 2A) and the abundance (Figure 2B) of seedlings and saplings. The stem density of the disturbance indicator species explained 63% of the variation in species richness between plots (gaps), while it explained 48% of the variation in the abundance of seedlings and saplings.

3.2. Traditional Knowledge of Species Uses

Informants’ uses of tree species were grouped into seven emic categories, with a total number of 2 321 use reports (Table 3). The proportion of use reports for poles for the fencing of pasture lands and timber for construction, furniture making and handcraft accounted for 27% and 26% of the total use reports, respectively. The reported use of species for wildlife was largely as a source of food for birds (18%), while wildlife habitat in the form of perching and nesting grounds and uses for medicinal purposes had the lowest reports.
A total of 32 species were reported by the informants to be socio-ecologically important (Table 4), with the number of uses of a species ranging from one to a maximum of five. The total use report values were 105–188 for 11 species, 61–93 for seven species and less than 50 for 14 species. Species with more than 25 for citation frequency for both human and wildlife uses included Hyeromina duquei, Citharexylum montanum, Eugenia crassimarginata, Ocotea insularis, Saurauia prainiana, Sapium contortum, E. edulis, Ficus maxima and Ceroxylon echinulatum. In addition, seven species, Tibouchina mollis, Vismia tomentosa, Nectandra acutifolia, Delostoma integrifolium, Alnus acuminate, Weinmannia macrophylla and Alchornea latifolia, were frequently cited as important for various human uses. Among the species useful for wildlife, C. echinulatum was cited as important for both food and habitat (perching and nesting grounds) for various birds and small mammals.
The rankings of native tree species useful for both human and wildlife, using different indices, exhibited minor inconsistencies (Table 5). The relative importance index (RI) and cultural value index (CV), which took into account the multiplicity of uses consistently ranked, revealed H. duquei, C. montanum, E. crassimarginata and S. contortum as the most socio-ecologically important species. Conversely, the relative frequency of citation (RFC), which considered the spread of knowledge of useful species among informants, consistently ranked two species only, H. duquei and E. crassimarginata, as the most important species. All indices, however, consistently ranked the five least socio-ecologically important species, known by their local common names as Pandola, Musmus, Ispingo, Morus and Jungleus.

3.3. Species Recommended for Future Planting

The informants recommended 27 species for future planting in Cosanga for both production and conservation purposes (Figure 3). The most highly recommended species was H. duquei (83%), followed by A. acuminata (58%), O. insularis (42%), C. montana (29%) and C. montanum (29%). Among the recommended species, eight species did not show any regeneration in gaps (e.g., A. acuminate, D. integrifolium and Pouteria sp.) while 11 species had less than 10 individuals in the regeneration phase (e.g., S. contortum, F. maxima, Croton sp., V. tomentosa and T. lepidota). As a whole, there was a good concordance between the recommended species and poor regeneration in the gaps of remnant cloud forests; i.e., there were 19 species with poor regeneration status.

4. Discussion

Integrated ethno-ecological knowledge on the interaction between wildlife and their dependence and integration within local ecosystems provides an important information base for the generation of locally adaptive conservation and restoration strategies. This is particularly the case in tropical regions and outside protected areas [41,42], where native ecosystems have experienced rapid degradation [43,44,45,46]. As such, our study provides useful insights into the potential for integrating TEK and ecological science-based approaches.
In the primary forest remnants regeneration survey, we recorded 154 species, excluding species that were not identified at the species level because of their scarcity or lack of reproductive structures. The floristic composition recorded in this study is much higher than that recorded in the gap-building phases of the tropical montane cloud forests of northeastern Mexico [47]. The most dominant families in the primary forest gap-regeneration phase include Melastomataceae, Piperaceae, Fabaceae and Euphorbiaceae, which are also common in secondary forest remnants [48], suggesting that light-demanding species are dominant in the gaps.
The mean species richness and stem density per plot varied among the remnants of cloud forests. This variation could be partly explained by the abundance of bamboo species (Chusquea sp.). The frequent occurrence of bamboo restricts the recruitment and establishment of woody flora due to its strong competitive ability to consume resources and growing space [49]. Bamboos are known for their rapid and early colonization of disturbed sites [50]. Their dominance is associated with their ability to generally use the stored resources in the below-ground rhizomes for the production of fresh culms and leaves, which again start producing photosynthates to be stored for next year’s biological production and clump maintenance [51]. Among the four studied primary forest remnants, Vinillos Antisana, which is located inside the Antisana Reserve, presented the highest number of species and the lowest records for Chusquea. Within the primary forest natural gaps, we found species associated with secondary forests; however, we also found species typically represented in primary forests, i.e., several timber species from the Lauraceae, Meliaceae, Myrtaces and Euphorbiaceae families characteristic of mature forests.
In our study, we found a high abundance of Piper bullosum C. DC. However, we recently found out that a new species, which looks very similar, had been identified [52] as P. kelleyi. We were able to identify 78 individuals of P. bullosum and 268 as P. kelleyi. This species is important for sustaining high population levels of insects and butterflies and important for the maintenance of several species of birds.
The high spatial variability of species regeneration in gaps might be attributed to topographic and soil conditions. The study area is characterized by an undulating topography from lowland to steep slopes. Previous studies in Ecuador have shown that stem density and tree species diversity decrease with increasing altitudes from the tropical lowland to montane forests [53,54]. We observed that regeneration appears to be more abundant in the gentle slopes and lower on steep slopes, which is consistent with previous studies in Neotropical seasonally deciduous forest species [55,56]. Soil conditions also vary among forest remnants, where Cambisols, stagnic Cambisols and Andosol are dominant in Vinillos Antisana, Cambisols in Vinillos Sumaco and in San Isidro, and Histic Gleysol, Andosol and Cambisols in Yanayacu, with varying soil water saturation [57]. Long periods of high precipitation in the study areas facilitate the formation of swampy areas, which, in turn, hinders regeneration due to anaerobic conditions that restricts root activities. As a whole, habitat heterogeneity plays a key role in gap-phase regeneration in primary and in disturbed cloud forests, which is consistent with previous studies of the lowlands, highlands and transitional areas of cloud forest around 2000 m elevation in Ecuador [53,58,59,60].
Results from surveys of traditional ecological knowledge are consistent with the general premise that TEK can provide valuable information about the relationship between local people and their natural environments. This is particularly relevant to restoration and conservation projects with information gained in less time and at a lower cost than fieldwork. The informants identified 32 species that are culturally important, of which 25 species are reported to be useful as food for wildlife and three species as valuable perching and nesting grounds. Among the tree species suggested by Cosanga farmers are several species from the Lauraceae family, which are also well represented in the old growth forest remnants. All the species from this family are used, especially for construction and furniture, and produce a variety of small ‘avocado’ like fruits highly prized by mammals, such as the spectacled bear, and birds, such as wild turkeys and quetzals.
Given the rising interest in the conservation of biodiversity in the area, such information is vital for the selection of native species for planting in conservation zones, including corridors that connect forest remnants. The choice of such species can favor those that act as bird perches to further facilitate seed dispersal at a landscape scale [61,62]. It should be worth mentioning that the study area is one of the winning sites for bird species observed during the international Christmas bird count for the period 2011–2014 [36].
Interestingly, informants’ recommendation of species for future planting complements the findings of the regeneration survey. Informants recommended 27 species, of which 19 species are very rare in the gaps of remnant forests, whereas some species, such as E. edulis, are the most abundant. Matching the most appropriate species to the prevailing environment and the listing numbers and proportions of species to be planted are important for ecological restoration procedures [63]. In this context, TEK provides valuable insights into the selection of species.

5. Conclusions

Given the complexity of environmental problems, with particular issues involved in tackling ongoing forest degradation, there is a growing concern at local, national and international levels to conserve and restore degraded forest ecosystems. However, there is a lack of local site-specific information in the rural areas of many tropical areas, such as the Cosanga Parish in Ecuador. This study aimed to generate information valuable for the conservation and restoration of degraded forest ecosystems. Based on the findings, the following conclusions can be drawn:
(1)
Regeneration in old growth forest gaps, which had experienced previous anthropogenic disturbances, is limited by the rampant colonization of gaps by bamboo species and micro-habitat conditions created by topographic and soil conditions;
(2)
TEK can contribute to ecological restoration through species selection for restoration planting;
(3)
There is synergy between TEK and ecological science-based approaches (e.g., regeneration surveys). Thus, natural ecosystem studies and traditional ecological knowledge can provide relevant information about ecosystem–plant–animal interactions, and identify native tree species useful for both humans and wildlife. This information, in turn, can serve as an important entry point in the design, application and monitoring of site-specific restoration interventions, with the establishment of future ecological corridors oriented to connecting isolated primary and secondary forest remnants.

Author Contributions

Conceptualization, A.M. and M.T.; methodology, A.M., M.T. and P.S.; validation, M.T.; formal analysis, A.M. and M.T.; investigation, A.M.; resources, P.C.O.; data curation, A.M., M.T. and P.C.O.; writing—original draft preparation, A.M.; writing—review and editing, M.T., P.S. and P.C.O.; visualization, A.M.; supervision, M.T, P.S. and P.C.O.; project administration, M.T. and P.C.O.; funding acquisition, A.M. and P.C.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Ecuadorean government and the Swedish University of Agricultural Sciences scholarship program for the first author.

Data Availability Statement

Data for this study can be made available upon reasonable request.

Acknowledgments

We express our gratitude to all who had contributed to the present work: the Cosanga community members and the Cosanga Parish Authorities; the Tourism Association of Native Guide of Valle del Quijos; the Yanayacu research Center and the San Isidro Tourism and Conservation Center. Special thanks go to the local individuals who shared their wealth of knowledge and time for the interview. Thanks are due to the program GIZ, GESOREN, and the Jatun Sacha Foundation and to the National Herbarium of Ecuador, the National Museum of Ecuador and the Environmental Ministry of Ecuador.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

A complete list of species recorded in the gaps of Cosanga cloud forests, together with the number of individuals of each species.
FamilyScientific NameTreeTreeletGrand Total
ActinidiaceaeActinidiaceae sp.1 4949
ActinidiaceaeSaurauia prainiana Buscal. 8383
ActinidiaceaeSaurauia sp.1 11
ActinidiaceaeSauraurea ademodonta Sleumer 44
ActinidiaceaeSaurauia aff. tomentosa (Kunth) Spreng. 1818
ActinidiaceaeSaurauia sp. 33
AnnonaceaeXylopia sp.2 2
AnnonaceaeAquifoliaceae1 1
AnnonaceaeIlex laurina Kunth1 1
AraliaceaeAraliaceae sp.15 5
AraliaceaeOreopanax palamophyllus Harms27 27
AraliaceaeSchefflera dielsii Harms45 45
AraliaceaeSchefflera sp.27 7
ArecaceaeArecaceae sp. 11
ArecaceaeArecaceae sp.1 1010
ArecaceaeArecaceae sp.2 11
ArecaceaeCeroxylon echinulatum Galeano7 7
ArecaceaeChamaedorea pinnatifrons6 6
ArecaceaeGeonoma orbignyana Mart. 109109
ArecaceaeGeonoma sp. 33
ArecaceaePrestoea acuminata (Willd.) H.E. Moore 33
AsteraceaeAstracea sp.1 11
AsteraceaeCritoniopsis elbertiana (Cuatrec.) H. Rob.2 2
AsteraceaeCritoniopsis occidentalis (Cuatrec.) H. Rob.20 20
BoraginaceaeCordia colombiana Killip3 3
BoraginaceaeCordia ucayaliensis (I.M. Johnst.) I.M.3 3
BrunelliaceaeBrunellia tomentosa Bonpl.1 1
CaprifoliaceaeViburnum sp. 44
CaricaceaeCarica sp. 11
CaricaceaeCelastraceae 33
ChloranthaceaeHedyosmum luteynii Todzia3 3
ChloranthaceaeHedyosmum sp.2 2
ClusiaceaeChrysochlamys membranacea Planch. & Triana5 5
ClusiaceaeClusia lineata (Benth.) Planch. & Triana10 10
ClusiaceaeClusia loranthacea Planch. & Triana1 1
CunoniaceaeWeinmannia macrophylla Kunth2 2
CunoniaceaeWeinmannia pinnata L.5 5
CyatheaceaeCyathea caracasana (Klotzsch) Domin39 39
EuphorbiaceaeAlchornea grandiflora Müll. Arg.7 7
EuphorbiaceaeAlchornea latifolia Sw.39 39
EuphorbiaceaeCroton sp.4 4
EuphorbiaceaeEuphorbiaceae sp. 11
EuphorbiaceaeSapium contortum Huber3 3
EuphorbiaceaeSapium marmieri Huber2 2
EuphorbiaceaeTetrorchidium macrophyllum Müll. Arg.5 5
FabaceaeDussia tessmannii Harms3 3
FabaceaeErythrina edulis Triana ex.Michli208 208
FabaceaeInga sp.2 2
FabaceaeInga aff. acuminata Benth9 9
FabaceaeSenna obliqua G. Don1 1
HypericaceaeVismia lateriflora Pers.8 8
IcacinaceaeCitronella incarum (J.F. Macbr.) R.A. Howard 22
Indet.Ind. sp.11 1
Indet.Ind. sp.1.11 1
Indet.Ind. sp.1.32 2
Indet.Ind. sp.1.81 1
Indet.Ind. sp.2.11 1
Indet.Ind. sp.21 1
Indet.Ind. sp.2.1 1414
Indet.Ind. sp.2.4 88
Indet.Ind. sp.2.5 99
Indet.Ind. sp.2.6 22
Indet.Ind. sp.51 1
Indet.Ind. sp.81 1
Indet.Ind. sp.2.7 22
LauraceaeAniba riparia (Nees) Mez7 7
LauraceaeLicaria sp.2 2
LauraceaeNectandra acutifolia (Ruiz & Pav.) Mez7 7
LauraceaeNectandra membranacea (Sw.) Griseb.15 15
LauraceaeNectandra sp.4 4
LauraceaeOcotea aff. cernua (Meisn.) Mez3 3
LauraceaeOcotea insularis (Meisn.) Mez7 7
LauraceaeOcotea javitensis (Kunth) Pittier4 4
LauraceaeOcotea oblonga (Meisn.) Mez5 5
LauraceaeOcotea sp.55 55
LauraceaeOcotea sp.120 20
LauraceaeOcotea stuebelii9 9
LauraceaePersea areolatocostae (C.K. Allen) Vander Werff9 9
LauraceaePersea subcordata (Ruiz & Pav.) Nees10 10
LauraceaePleurothyrium sp.1 1
LauraceaePleurothyrium trianae (Mez) Rohwer10 10
LecythidaceaeGustavia hexapetala (Aubl.) Sm.2 2
MalpighiaceaeBunchosia argentea (Jacq.) DC.8 8
MelastomataceaeAxinaea sodiroi Wurdack 88
MelastomataceaeAxinaea sp. 11
MelastomataceaeConostegia aff. centronioides Markgr. 5151
MelastomataceaeMelastomat. sp.69 69
MelastomataceaeMelastomat. sp.1 1111
MelastomataceaeMelastomat. sp.21 1
MelastomataceaeMelastomat. sp.323 23
MelastomataceaeMelastomat. sp.41 1
MelastomataceaeMelastomat. sp.58 8
MelastomataceaeMeriania drakei (Cogn.) Wurdack 2020
MelastomataceaeMeriania hexamera Sprague.2 2
MelastomataceaeMeriania sp. 4545
MelastomataceaeMeriania tomentosa (Cogn.) Wurdack 11
MelastomataceaeMiconia aequatorialis Wurdack 33
MelastomataceaeMiconia aggregata Gleason 99
MelastomataceaeMiconia barbeyana Cogn. 33
MelastomataceaeMiconia brevitheca Gleason 77
MelastomataceaeMiconia clathrantha Triana ex Cogn.27 27
MelastomataceaeMiconia floribunda (Bonpl.) DC. 2525
MelastomataceaeMiconia glandulistyla (Bonpl.) DC.48 48
MelastomataceaeMiconia napoana Wurdack4 4
MelastomataceaeMiconia nutans Donn. Sm. 1717
MelastomataceaeMiconia rivalis Wurdack 11
MelastomataceaeMiconia sp.34 34
MelastomataceaeMiconia sp.128 28
MelastomataceaeMiconia sp.220 20
MelastomataceaeMiconia theaezans (Bonpl.) Cogn.11 11
MelastomataceaeOssaea micrantha (Sw.) Macfad. ex Cong. 4848
MelastomataceaeTibouchina mollis (Bonpl.) Cogn. 77
MeliaceaeMeliaceae sp.3 3
MeliaceaeRuagea glabra Triana & Planch.14 14
MeliaceaeTrichilia septentrionalis C. DC.25 25
MeliaceaeTrichilia sp.111 11
MonimiaceaeMolinedia sp. 11
MonimiaceaeMollinedia ovata Ruiz & Pav. 1313
MoraceaeFicus castellviana Dugand1 1
MoraceaeFicus cuatrecasana Dugand1 1
MoraceaeFicus maxima Mill.5 5
MoraceaeFicus sp.9 9
MoraceaeFicus tonduzii Standl.2 2
MoraceaeMorus insignis Bureau14 14
MyricaceaeMyrica sp. 11
MyrsinaceaeCybianthus pastensis (Mez) G. Agostini 33
MyrsinaceaeGeissanthus aff. Pichinchae Mez 66
MyrsinaceaeMyrcia sp. 1212
MyrsinaceaeMyrsine coriacea (Sw.) R. Br. ex Roem. & Schult.11
MyrtaceaeEugenia crassimarginata M.L. Kawas. & B. Holst 55
MyrtaceaeMyrcia cf. obumbrans (O. Berg) McVaugh31 31
MyrtaceaeMyrtaceae sp. 66
PhyllanthaceaeHieronyma asperifolia Pax & K. Hoffm.1 1
PhyllanthaceaeHieronyma cf. Macrocarpa Müll. Arg.68 68
PhyllanthaceaeHieronyma oblonga (Tul.) Müll. Arg.1 1
PhyllanthaceaeHieronyma sp.120 20
PhyllanthaceaePhyllanthus sponiifolius Müll. Arg. 1919
PiperaceaePiper aff. arboreum Aubl. 44
PiperaceaePiper bullosum C. DC. 8787
PiperaceaePiper crassinervium Kunth. 66
PiperaceaePiper kelleyi Tepe 268268
PiperaceaePiper obliqua Ruiz & Pav. 11
PiperaceaePiper perareolatum C. DC. 99
PiperaceaePiper pittieri C. DC. 2121
PiperaceaePiper sp. 4040
PiperaceaePiper sp.1 55
PiperaceaePiper sp.3 11
PiperaceaePiper sp.2 11
RosaceaePrunus herthae Diels 44
RosaceaePrunus muris Cuatrec. 11
RubiaceaeChinchona aff. pubensis Vahl.13 13
RubiaceaeDuroia sp. 22
RubiaceaeFaramea glandulosa Poepp. 9797
RubiaceaeGonzalagunia sp. 33
RubiaceaeNotopleura macrophylla (Ruiz & Pav.) C.M. 77
RubiaceaePalicourea amethystina (Ruiz & Pav.) DC. 88
RubiaceaePalicourea demissa Standl. 2626
RubiaceaePalicourea prodiga Standl. ex C.M. Taylor 1212
RubiaceaePicramnia magnifolia J.F. Macbr. 11
RubiaceaeRubiaceae sp.1 3434
RubiaceaeRubiaceae sp.2 55
RubiaceaeRubiaceae sp.3 11
RubiaceaeRubiaceae sp.4 99
RubiaceaeRubiaceae sp.5 2020
RubiaceaeRubiaceae sp.6 44
RubiaceaeRubiaceae sp.7 22
RubiaceaeRubiaceae sp.8 44
SabiaceaeMeliosma sp. 33
SalicaceaeCasearia aff. nigricans Sleumer 1010
SalicaceaeCasearia mariquitensis (Kunth). 22
SalicaceaeCasearia quinduensis Tul. 66
SalicaceaeCasearia sylvestris S.W 22
SalicaceaeSalicaceae sp. 55
SapindaceaeAllophyllus sp. 44
SimaroubaceaePicramnia magnifolia J.F. Macbr. 33
SiparunaceaeSiparuna lepidota (Kunth) A. DC. 1717
SiparunaceaeSiparuna macrotepala Perkins 33
SiparunaceaeSiparuna pyricarpa (Ruiz & Pav.) Perkins 55
SolanaceaeCestrum aff. schlechtendahlii 7979
SolanaceaeCestrum megalophyllum 11
SolanaceaeCestrum peruvianum Roem. 77
SolanaceaeCestrum racemosum Ruiz & Pav. 11
SolanaceaeCestrum sp. 33
SolanaceaeIochroma calycinum Benth. 88
SolanaceaeIochroma sp.1 88
SolanaceaeSessea sp.1 1
Solanaceaesolanaceae sp.2 2727
SolanaceaeSolanaceae sp.3 2222
SolanaceaeSolanaceae sp.4 66
SolanaceaeSolanaceae sp52 2
SolanaceaeSolanaceae sp6 44
SolanaceaeSolanum abitaguense S. Knapp 66
SolanaceaeSolanum anisophyllum Van Heurck & Müll. 1313
SolanaceaeSolanum cf. hypermegethes Werderm. 33
SolanaceaeSolanum dolosum C.V. Morton ex S. Knapp 4444
SolanaceaeSolanum ovalifolium Dunal 99
SolanaceaeSolanum sp1. 2424
StaphyleaceaeTurpinia occidentalis (Sw.) G. Don43 43
SymplocaceaeSymplocos fuliginosa B. Ståhl 11
UrticaceaeCecropia ficifolia Warb. ex Snethl.5 5
UrticaceaeCecropia angustifolia Trécul67 67
UrticaceaeCecropia sp.9 9
UrticaceaeUrera baccifera (L.) Gaudich. ex Wedd. 22
VerbenaceaeCitharexylum montanum Moldenke 2222
VerbenaceaeCitharexylum sp. 99

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Figure 1. Map of the study area, located in the northeast of Ecuador; the numbers 1 to 3 represent the study sub areas. Map based on a parish management plan from 2012.
Figure 1. Map of the study area, located in the northeast of Ecuador; the numbers 1 to 3 represent the study sub areas. Map based on a parish management plan from 2012.
Forests 13 00092 g001
Figure 2. Relationship between stem density of disturbance indicator species and species richness (A) and abundance (B) of seedlings and saplings recorded in gaps of remnant cloud forests. Both species richness (p = 0.01) and abundance (p = 0.032) were significantly correlated with the number of indicator species.
Figure 2. Relationship between stem density of disturbance indicator species and species richness (A) and abundance (B) of seedlings and saplings recorded in gaps of remnant cloud forests. Both species richness (p = 0.01) and abundance (p = 0.032) were significantly correlated with the number of indicator species.
Forests 13 00092 g002
Figure 3. Species recommended for future planting in Cosanga for productive and conservation purposes by informants. Values represent the number of informants that recommended a species (note: only genus name is used for the species for the sake of figure clarity).
Figure 3. Species recommended for future planting in Cosanga for productive and conservation purposes by informants. Values represent the number of informants that recommended a species (note: only genus name is used for the species for the sake of figure clarity).
Forests 13 00092 g003
Table 1. Summary of GLM univariate analysis for testing significant differences in species richness (SR), abundance (AB) and number of indicator species (NIS) among forest remnants and between growth habits.
Table 1. Summary of GLM univariate analysis for testing significant differences in species richness (SR), abundance (AB) and number of indicator species (NIS) among forest remnants and between growth habits.
VariableSource of Variationd.f. *F-Valuep-Value
SRNo. of indicator sp.1337.96<0.001
Forest remnant (FR)33.970.010
Growth habit (GH)148.73<0.001
FR × GH33.590.016
Error119
ABNo. of indicator sp.188.16<0.001
Forest remnant (FR)34.220.007
Growth habit (GH)121.32<0.001
FR × GH30.090.964
Error119
NISForest remnant (FR)37.19<0.001
Error124
* d.f. = degrees of freedom.
Table 2. Plot-wise species richness, abundance and population density of indicator species in each cloud forest remnant (mean ± SE). Where SI, VA, VS and YA stands for San Isidro, Vinillos Antisana, Vinillos Sumaco and Yanayacu, respectively.
Table 2. Plot-wise species richness, abundance and population density of indicator species in each cloud forest remnant (mean ± SE). Where SI, VA, VS and YA stands for San Isidro, Vinillos Antisana, Vinillos Sumaco and Yanayacu, respectively.
Growth Forest Remnant
VariablesHabitSIVAVSYA
Species richnessTree8 ± 113 ± 111 ± 18 ± 1
Treelet11 ± 115 ± 110 ± 111 ± 1
AbundanceTree13 ± 231 ± 420 ± 317 ± 2
Treelet23 ± 336 ± 225 ± 420 ± 2
No. of indicator species 22 ± 115 ± 119 ± 121 ± 1
Table 3. Number of use reports (UR) and percentage of total use categories.
Table 3. Number of use reports (UR) and percentage of total use categories.
CategoriesNumber of URPercentage
Poles for fencing62527
Timber and furniture59326
Food for wildlife41518
Fruit and ornamentals39517
Firewood2029
Medicines and herbs623
Wildlife habitat291
Total2321
Table 4. Frequency of citation (FC) of a species by use category (together with number of uses (NU) as well as overall FC and use report (UR). TF = timber and furniture, PF = poles for fencing, MH = medicines and herbs, FO = fruits and ornamentals, FW = firewood, WF = food for wildlife, WH = habitat for wildlife.
Table 4. Frequency of citation (FC) of a species by use category (together with number of uses (NU) as well as overall FC and use report (UR). TF = timber and furniture, PF = poles for fencing, MH = medicines and herbs, FO = fruits and ornamentals, FW = firewood, WF = food for wildlife, WH = habitat for wildlife.
SpeciesTFPFMHFOFWWFWHFC (human)FC (wildlife)NUUR
Hyeromina duquei4747047047047474188
Citharexylum montanum38380383833038335185
Eugenia crassimarginata4242042038042384164
Vismia tomentosa43430043904394138
Delostoma integrifolium333303333033335135
Alnus acuminata333303333013315133
Sapium contortum3333003334033344133
Ocotea insularis444400036044363124
Ficus maxima2929290027029274114
Ceroxylon echinulatum20200200252520255110
Erythrina edulis031031043031433105
Tibouchina mollis044044050445393
Alchornea latifolia2727027080278489
Nectandra acutifolia363600040364376
Saurauia prainiana0003503903539274
Guarea kunthiana161601601501615463
Weinmannia macrophylla303000010301361
Inga aff. acuminata161601601301613461
Trichilia septentrionalis1313013060136445
Clusia lineata1414001420142444
Cedrela montana43000000430143
Oreopanax palamophyllus1414140010141443
Hedyosmum luteynii0019001201912231
Turpinia aff. occidentalis10100001101011331
Critoniopsis occidentalis550053053418
Solanum cf. hypermegethes330031031410
Miconia glandulistyla03000103124
Jungleus (unidentified sp.)10000101122
Nectandra sp10000001011
Morus insignes10000001011
Musmus (unidentified sp.)01000001011
Pandola (unidentified sp.)10000001011
Table 5. Ranking of species useful for humans and wildlife in Cosanga using relative frequency of citation (RFC), relative importance index (RI) and cultural value index (CV). Species are arranged in decreasing order of CV and species ranking based on each index.
Table 5. Ranking of species useful for humans and wildlife in Cosanga using relative frequency of citation (RFC), relative importance index (RI) and cultural value index (CV). Species are arranged in decreasing order of CV and species ranking based on each index.
IndicesRank
SpeciesRFCRICVRFCRICV
Hyeromina duquei0.9790.9002.191111
Citharexylum montanum0.7400.8782.036622
Eugenia crassimarginata0.8330.8261.627233
Sapium contortum0.6980.7561.105744
Ocotea insularis0.8330.7260.923265
Vismia tomentosa0.5420.6770.8909116
Ficus maxima0.5830.6980.792877
Ceroxylon echinulatum0.4690.7390.7671158
Delostoma integrifolium0.3750.6910.7531499
Erythrina edulis0.7710.6940.7234810
Alnus acuminata0.3540.6810.701161011
Tibouchina lepidota0.5100.5610.424101512
Alchornea pearcei0.3650.5860.386151313
Saurauia aff. tomentosa0.7710.5940.34041214
Nectandra acutifolia0.4170.5130.283131715
Guarea kunthiana0.3230.5650.242171416
Inga aff. acuminata0.3020.5540.219201617
Weinmannia macrophylla0.3230.4650.176172118
Trichilia septentrionalis0.1980.5010.106221819
Clusia lineata0.1670.4850.087231920
Oreopanax palamophyllus0.1560.4800.080242021
Turpinia aff. occidentalis0.2190.4120.061212422
Hedyosmum luteynii0.3230.3650.060172523
Cedrela montana0.4480.3290.057122624
Critoniopsis occidentalis0.0830.4430.018252225
Solanum cf. hypermegethes0.0420.4210.005262326
Miconia glandulistyla0.0420.2210.001262727
Jungleus (unidentified sp.)0.0210.2110.000282828
Morus insignes0.0100.1050.000292928
Nectandra sp.0.0100.1050.000292928
Musmus (unidentified sp.)0.0100.1050.000292928
Pandola (unidentified sp.)0.0100.1050.000292928
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Mariscal, A.; Tigabu, M.; Savadogo, P.; Odén, P.C. Regeneration Status and Role of Traditional Ecological Knowledge for Cloud Forest Ecosystem Restoration in Ecuador. Forests 2022, 13, 92. https://doi.org/10.3390/f13010092

AMA Style

Mariscal A, Tigabu M, Savadogo P, Odén PC. Regeneration Status and Role of Traditional Ecological Knowledge for Cloud Forest Ecosystem Restoration in Ecuador. Forests. 2022; 13(1):92. https://doi.org/10.3390/f13010092

Chicago/Turabian Style

Mariscal, Ana, Mulualem Tigabu, Patrice Savadogo, and Per Christer Odén. 2022. "Regeneration Status and Role of Traditional Ecological Knowledge for Cloud Forest Ecosystem Restoration in Ecuador" Forests 13, no. 1: 92. https://doi.org/10.3390/f13010092

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