Hasil untuk "Forestry"

Burcu Zeybek, Yaşar Selman Gültekin

This study investigates teachers’ perceptions of sustainable ecotourism in Düzce Province, Türkiye, with particular attention to how environmental perceptions shape evaluations of economic and socio-cultural benefits. Drawing on survey data collected from 320 teachers, the study employs structural equation modeling (SEM) to validate a multidimensional perception framework and to examine the structural relationships among its components. Following confirmatory factor analyses, Multiple Group SEM is applied to assess whether these relationships differ across key socio-demographic groups. The results indicate that perceptions of the environmental dimension of ecotourism constitute the strongest predictor of both perceived economic and socio-cultural benefits. Moreover, the magnitude of these relationships varies systematically by gender, marital status, and teaching level, with female and married teachers exhibiting stronger perception–benefit linkages. These findings underscore the importance of socio-demographic context in shaping sustainability-related attitudes and highlight teachers as influential educational and social intermediaries in the diffusion of ecotourism awareness. By integrating environmental perception theory with Multiple Group SEM, the study contributes to the ecotourism and sustainability education literature and offers policy-relevant insights for the design of education-oriented ecotourism governance, sustainable forest management and planning strategies.

Eitaro Fukatsu, Yuji Kurahara, Manabu Kurita et al.

Abstract Understanding the genetic and environmental factors influencing wood stiffness is essential for improving wood quality in plantation forestry. In this study, we investigated the phenotypic, genetic, and environmental variation in wood stiffness, measured as stress-wave-based modulus of elasticity (swMOE), in Cryptomeria japonica. Six genotypes were planted at three planting densities (7000, 3000, and 1700 trees/ha) in a field trial, and growth traits such as tree height, diameter at breast height (DBH), and bole height were measured at stand age 40. Using linear mixed models, we estimated variance components, broad-sense heritabilities, and correlations between swMOE and growth traits. We compared linear mixed models incorporating growth traits as covariates and examined their predictive accuracy for swMOE. Our results showed that swMOE was under relatively strong genetic control and was less influenced by planting density compared to growth traits. Among the growth traits tested, form ratio (tree height to diameter) exhibited the strongest positive correlation with swMOE at the phenotypic, genetic, and residual levels. Including form ratio as a covariate improved model fit and increased prediction accuracy across replications. These findings suggest that form ratio is both a biologically meaningful and practically useful trait for explaining and predicting wood stiffness of C. japonica. This approach has potential applications in genetic selection and wood property prediction in operational breeding and forest management.

Syed Ijaz Ul Haq, Guobin Wang, Shahid Nawaz Khan et al.

Early and accurate detection of crop stress is essential for sustainable agriculture and food security, particularly as climate change and environmental degradation intensify agricultural challenges. This comprehensive review examines advanced crop stress monitoring strategies that leverage multi-dimensional optical remote sensing approaches, specifically integrating spectral, angular, and spatial perspectives across diverse observation scales. We systematically analyze how biotic stresses (diseases, pests) and abiotic stresses (drought, nutrient deficiency, temperature extremes) manifest through detectable changes in plant spectral signatures, from chlorophyll degradation in the visible spectrum to water content variations in shortwave infrared regions. Our review encompasses sensing technologies spanning RGB, multispectral, hyperspectral, thermal infrared, and chlorophyll fluorescence sensors deployed across three complementary scales: proximal ground-based systems for detailed physiological assessment, unmanned aerial vehicles (UAVs) for field-scale monitoring, and satellites for regional surveillance. A key innovation of this work is the emphasis on multi-angle remote sensing, which captures bidirectional reflectance distribution function (BRDF) effects that reveal stress-induced changes in canopy structure and leaf orientation invisible to conventional nadir-only observations. We demonstrate how viewing geometry significantly affects vegetation indices (NDVI, PRI) and sun-induced fluorescence (SIF) measurements, requiring sophisticated angular correction methods for accurate stress assessment. Through synthesis of 138 recent studies spanning 12 major crop types, we identify critical research gaps including: (1) inconsistent angular reflectance modeling across stress types, (2) inadequate sensor calibration protocols for variable field conditions, and (3) lack of standardized frameworks for integrating multi-source, multi-scale data streams. Our analysis reveals that advanced machine learning approaches particularly deep learning and transformer networks show exceptional promise for extracting meaningful stress signatures from complex, high-dimensional datasets while maintaining interpretability for agricultural decision-making. We propose a hierarchical monitoring architecture supported by physics-aware artificial intelligence models that address three fundamental challenges: temporal optimization for capturing stress progression dynamics, spatial integration across observation scales, and angular standardization for consistent stress quantification. This framework aims to transform crop stress monitoring from reactive management to predictive intervention, enabling real-time diagnostics suitable for diverse agricultural systems ranging from high-value specialty crops to extensive grain production. The review concludes with a strategic roadmap for operational implementation, addressing economic constraints, technological limitations, and knowledge transfer requirements necessary for widespread adoption. Our findings indicate that successful deployment requires service-based delivery models, simplified decision support interfaces, and staged implementation approaches that demonstrate incremental value while building organizational capacity. The literature selection was conducted using Scopus, Web of Science, and IEEE Xplore databases, covering publications from 2018 to 2024. Search terms included “crop stress monitoring,” “spectral remote sensing,” “multi-angle sensing,” and “UAV agriculture.” A total of 138 peer-reviewed studies meeting relevance and methodological rigor criteria were included. These studies span 12 major crop types: wheat, maize, rice, soybean, cotton, sugarcane, potato, grapevine, tomato, barley, sorghum, and rapeseed, ensuring broad coverage across cereal, legume, fiber, tuber, and horticultural crops.

Hao Yuwei, Ren Zhilin, Bi Jingjing et al.

C18H16O2, monoclinic, P21/c (no. 14), a = 5.6512(4) Å, b = 4.7795(3) Å, c = 22.9999(15) Å, β = 95.385(6)∘, V = 618.48(7) Å3, Z = 2, R gt(F) = 0.0545, wR ref(F 2) = 0.1712, T = 293(2) K.

Ian Silver‐Gorges, Brian M. Shamblin, Mason Ashford et al.

Abstract Small populations of imperiled species are susceptible to the negative consequences of skewed sex‐ratios. In imperiled species with environmental sex determination such as sea turtles, examining sex ratios across a range of environments and population abundance levels can provide insight into factors that influence population resilience, which can then be the foci of management plans for these species. Breeding sex ratios (the ratio of actively breeding males to females during a reproductive season; BSRs) extrapolated from genetic parentage analyses are a common approach for enumerating sex ratios in sea turtles. Such analyses also allow for the characterization of multiple paternity within sea turtle clutches, which should reflect BSRs and breeding behaviors. We characterized the first BSR for a breeding assemblage of loggerhead sea turtles (Caretta caretta) belonging to the temperate, low‐abundance Northern Gulf of Mexico Recovery Unit using genotypes of 16 microsatellite loci from nesting females and hatchlings. Unlike prior studies at both more‐tropical and more‐temperate, and higher‐abundance, Recovery Units in this region, we found a balanced BSR of 1.3:1 males:female and a low incidence (~17%) of multiple paternity. This suggests that there are relatively few males breeding at this assemblage and within this Recovery Unit. Beaches in this region are expected to produce substantial numbers of male hatchlings based on sand temperature data. The relative dearth of mature males may then be due to hydrologic disturbances that disproportionately affect the fitness and survival of male hatchlings, or due to demographic stochasticity. More work is needed to study the factors that might influence male hatchling production and fitness in this region, particularly as climate change is predicted to lead to feminization in global sea turtle populations. Our work demonstrates the broad utility of characterizing BSRs and other sex ratios across a range of populations in imperiled, environmentally sensitive species.

Yi Li, Yuanyuan Guan, Zhengchu Jiang et al.

Phosphorus is crucial for plant growth and development, but excess fertilizer not absorbed by plants often binds with metal ions like iron and manganese, forming insoluble compounds that contribute to soil environmental pollution. This study investigates the impact of <i>Burkholderia</i> sp., a phosphate-solubilizing bacterium utilized as a biofertilizer, on the fertility of <i>T. grandis</i> soil, alongside the associated shifts in soil metabolites and their relationship with microbial communities after inoculation. The soil microbial community structures and metabolite profiles were analyzed via amplicon sequencing and high-resolution untargeted metabolomics. The inoculation of phosphate-solubilizing bacteria led to a significant (<i>p</i> < 0.05) enhancement in total phosphorus, potassium, and nitrogen concentrations in the soil, with a marked increase in available phosphorus in bulk soil (<i>p</i> < 0.05). Moreover, the microbial community structure exhibited significant shifts, particularly in the abundance of bacterial phyla such as Acidobacteria, Chloroflexi, Proteobacteria, and the fungal phylum Ascomycota. Metabolomic analysis revealed distinct metabolites, including fatty acids, hormones, amino acids, and drug-related compounds. Key microbial taxa such as Chloroflexi, Proteobacteria, Acidobacteria, Verrucomicrobia, Mucoromycota, and Ascomycota indirectly contributed to soil phosphorus metabolism by influencing these differential metabolites. In conclusion, the application of phosphate-solubilizing bacteria offers an innovative approach to improving soil quality in <i>T. grandis</i>, promoting phosphorus utilization efficiency, and enhancing soil ecosystem health by optimizing microbial communities and metabolite compositions.

Wan-Yu Liu, Che-Yu Chiang, Jia-Ler Yap et al.

Low-elevation mountainous (LEM) areas in some countries are reclaimed for agriculture (especially, for deep cultivation of tea trees) due to their accessibility, higher temperature, and more rainfall, contributing to biodiversity and ecological balance. However, extensive development in these areas causes lasting ecological damage; and hence it is crucial to evaluate the ecological value of these areas for formulating relevant ecological protection policies. Therefore, this study evaluated the ecosystem service value of tea plantations in LEM areas using the contingent valuation method based on the subjective consciousness of farmers, rather than an objective assessment. A questionnaire survey was conducted on tea farmers in Mingjian Township (which is one of the major tea-producing LEM areas in Mid-Taiwan); and ecosystem service values of tea plantations between conventional farming methods (CFMs) and organic farming methods (OFMs) were compared. Firstly, the differences in willingness to pay (WTP) for the samples including and excluding protest responses were investigated, and then a regression analysis to estimate the WTP price for maintaining the tea plantation ecology was conducted. Empirical results showed a significantly negative correlation between the WTP price and the education level of farmers in tea plantations using CFMs, but a significantly positive correlation in tea plantations using both CFMs and OFMs. Most respondents were male and used CFMs to operate tea plantations; and those with higher monthly income and using both CFMs and OFMs were willing to pay more. Regarding ecosystem services of tea plantations, the respondents preferred the “provisioning” ecosystem services, and were willing to pay an average of NT$ 718.92 and NT$ 794.32 per year for maintaining the ecology of tea plantations using CFMs and OFMs, respectively. The unit ecological value of tea plantations was not inferior to those of coniferous and broad-leaved forests, paddy fields, and algae reefs from previous studies. Finally, some suggestions are proposed for a reference in formulating relevant ecological protection policies.

Jingrui Sun, Zhenjun Zhu, Ji Han et al.

The built environment is among the critical factors in older adults’ travel behavior, and a favorable built environment can encourage them to travel and engage in various activities. Existing studies have mostly focused on exploring the correlation between the built environment and travel behavior, ignoring the heterogeneity between the two at different times of the day. In this study, we conducted structured, face-to-face interviews in the Nanjing (China) metropolitan area to investigate the time consumed per trip by older adults using various travel modes and used the structural equation and random forest models to explore the relationship between the built environment and older adults’ travel time. The results demonstrated that older adults had different perspectives on travel during different time periods. Different environments and the convenience of destinations affected their overall satisfaction during travel. We found a nonlinear relationship between the built environment and travel time. Metropolitan street connectivity initially had a positive effect on travel time until a certain threshold or peak, whereafter a gradual decline ensued. This nonlinear relationship also existed between the proportion of green space and the distance to subway stations. These results can guide the retrofitting and construction of age-friendly metropolitan infrastructure facilities that promote older adults’ mobility.

مریم پورعظیمی, شعبان شتایی جویباری, جهانگیر محمدی et al.

در این پژوهش، قابلیت داده‌های راداری تک‌قطبشی ماهوارۀ TanDEM-X در برآورد ارتفاع تاج‌پوشش جنگل‌های هیرکانی بررسی شد. دو رویکرد تداخل‌سنجی تفاضلی با به‌کارگیری مدل رقومی زمین حاصل از داده‌های لیدار هوابرد و مدل Sinc حاصل ساده‌سازی مدل پراکنش حجمی نامنظم روی سطح Random Volume over Ground (RVoG) مقایسه شد. منطقۀ پژوهش در بخشی از طرح جنگلداری دکتر بهرام‌نیای گرگان (شصت‌کلاته) واقع شده است. آمار زمینی 308 قطعه نمونۀ دایره‌ای به مساحت 1/0 هکتار برای ارزیابی دقت رویکردهای استفاده‌شده در برآورد ارتفاع تاج‌پوشش به‌کار گرفته شد. به ‌این منظور میانگین ارتفاع لوری در محل قطعات نمونه محاسبه شد. دامنۀ همدوسی برای برآورد ارتفاع تاج‌پوشش با استفاده از مدل Sinc به‌کار برده شد و با حذف اثر توپوگرافی از فاز رفع ابهام‌شده که با فاز حاصل از زمین در مناطق باز تطبیق یافته بود، ارتفاع تاج‌پوشش به روش تداخل‌سنجی تفاضلی به‌دست آمد. پس از تصحیح هندسی تصاویر، میانگین ارتفاع تاج‌پوشش برآوردی در محل قطعات نمونه استخراج شد. نتایج ارزیابی مستقیم ارتفاع تاج‌پوشش برآوردی نسبت به واقعیت زمینی نشان داد که رویکرد تداخل‌سنجی تفاضلی نسبت به مدل Sinc با مقادیر مجذور میانگین مربعات خطای مطلق RMSE و نسبی rRMSE به‌ترتیب 86/2 متر و 28/12 درصد و ضریب تبیین 33/0 از دقت بیشتری برخوردار است. این درحالی است که نتایج قابل مقایسه‌ای با استفاده از مدل Sinc به‌دست آمد (m41/3 RMSE = و 64/14% rRMSE =). به‌طور کلی تحقیق حاضر پتانسیل نسبی داده‌های با طول موج کوتاه TanDEM-X و مدل‌های مبتنی بر همدوسی را به‌منظور برآورد ارتفاع تاج‌پوشش جنگل‌های هیرکانی در سطح وسیع نشان می‌دهد، اگرچه تنها 15 درصد از تغییرات میانگین ارتفاع لوری به‌وسیلۀ مدل Sinc بیان شد. از این‌رو پژوهش‌های بیشتری برای درک عوامل تأثیرگذار بر صحت نتایج از جمله نوع گونه، شیب و مشخصه‌های برداشت تصویر ضروری به نظر می‌رسد.

Zeying Yao, Lina Shi, Yicheng He et al.

Grazing can alter soil microbial diversity and ecosystem multifunctionality (EMF) through feeding, trampling, and excreta deposition. However, it remains unclear how grazing intensity and grazing duration across Chinese grasslands affect the relationship between soil microbial diversity and EMF. Here, we conducted a meta-analysis to analyze the responses of soil microbial diversity and EMF to grazing disturbance using 54 publications with 62 sample sites from alpine grasslands and temperate grasslands in China. The results showed that EMF tended to decrease with increasing grazing duration and grazing intensity. Bacterial diversity was significantly and negatively correlated with EMF under moderate grazing, whereas fungal diversity was significantly and positively correlated with EMF under heavy grazing. Both fungal and bacterial diversity regulated the effects of grazing on EMF with grazing durations of up to 5 years. Furthermore, bacterial diversity was negatively correlated with EMF in typical steppe but positively in alpine grassland, and fungal diversity was positively correlated with EMF in typical steppe. Our results highlight the importance of microbial diversity in maintaining the multifunctionality of grassland ecosystem. We suggest that both grazing intensity, duration and grassland type should be seriously considered in the conservation of biodiversity and the sustainability of grassland ecosystem services and functions.

Francesca Patrignani, Gabriella Siesto, Davide Gottardi et al.

The present research is aimed at investigating the potential of two commercial <i>Saccharomyces cerevisiae</i> strains (EC1118 and AWRI796) to generate wine-specific volatile molecule fingerprinting in relation to the initial must applied. To eliminate the effects of all the process variables and obtain more reliable results, comparative fermentations on interlaboratory scale of five different regional red grape musts were carried out by five different research units (RUs). For this purpose, the two <i>S. cerevisiae</i> strains were inoculated separately at the same level and under the same operating conditions. The wines were analyzed by means of SPME-GC/MS. Quali-quantitative multivariate approaches (two-way joining, MANOVA and PCA) were used to explain the contribution of strain, must, and their interaction to the final wine volatile fingerprinting. Our results showed that the five wines analyzed for volatile compounds, although characterized by a specific aromatic profile, were mainly affected by the grape used, in interaction with the inoculated <i>Saccharomyces</i> strain. In particular, the AWRI796 strain generally exerted a greater influence on the aromatic component resulting in a higher level of alcohols and esters. This study highlighted that the variable strain could have a different weight, with some musts experiencing a different trend depending on the strain (i.e., Negroamaro or Magliocco musts).

Sijun Dong, Zhengchao Chen

High-resolution remote sensing image segmentation is a mature application in many industrial-level image applications and it also has military and civil applications. The scene analysis needs to be automated as much as possible with high-resolution remote sensing images. This plays a significant role in environmental disaster monitoring, forestry industry, agricultural farming, urban planning, and road analysis. This study proposes a multi-level feature fusion network (MFNet) that can integrate the multi-level features in the backbone to obtain different types of image information. Finally, the experiments in this study demonstrate that the proposed network can achieve good segmentation results in the Vaihingen and Potsdam datasets. By aiming to achieve a large difference in the scale of the target objects in remote sensing images and achieving a poor recognition result for small objects, a multi-level feature fusion solution is proposed in this study. This investigation improves the recognition results of the remote sensing image segmentation to a certain extent.

Julius G. Bright Ross, Wibke Peters, Federico Ossi et al.

Abstract Ungulates in alpine ecosystems are constrained by winter harshness through resource limitation and direct mortality from weather extremes. However, little empirical evidence has definitively established how current climate change and other anthropogenic modifications of resource availability affect ungulate winter distribution, especially at their range limits. Here, we used a combination of historical (1997–2002) and contemporary (2012–2015) Eurasian roe deer (Capreolus capreolus) relocation datasets that span changes in snowpack characteristics and two levels of supplemental feeding to compare and forecast probability of space use at the species’ altitudinal range limit. Scarcer snow cover in the contemporary period interacted with the augmented feeding site distribution to increase the elevation of winter range limits, and we predict this trend will continue under climate change. Moreover, roe deer have shifted from historically using feeding sites primarily under deep snow conditions to contemporarily using them under a wider range of snow conditions as their availability has increased. Combined with scarcer snow cover during December, January, and April, this trend has reduced inter-annual variability in space use patterns in these months. These spatial responses to climate- and artificial resource-provisioning shifts evidence the importance of these changing factors in shaping large herbivore spatial distribution and, consequently, ecosystem dynamics.

Jia-ying CHANG, Shu-sen LIU, Jie SHI et al.

The purpose of this study was to identify the dominant pathogens of Curvularia leaf spot and their pathogenicity variation in Huanghuaihai Region of China in recent years. In 2013 and 2016–2017, the occurrences of Curvularia leaf spots on maize were investigated in fields located in Henan, Hebei, Shandong, and Anhui provinces, and 292 fungi were isolated from diseased leaves. These fungal isolates were subjected to morphological identification, and 232 isolates were found to have about 70% uncurved conidia and were identified as Curvularia lunata var. Most of the conidia of 2 representative isolates, namely, HNWB-131 and HNWB-185, were oblong with parallel septations and were distinctly different from a reference isolate CX-3. For further determination, the internal transcribed spacer (ITS), glyceraldehyde 3-phosphate dehydrogenase (GPDH), the large subunit (LSU), and translation elongation factor 1-alpha (EF1-α) sequences of HNWB-131, HNWB-185, and CX-3 were amplified and sequenced. The results of sequence analysis showed that the 4 gene sequences from the 3 isolates had a similarity of more than 99% to C. lunata. Based on the sequences of ITS and the combined data of the 4 genes, neighbor-joining trees were constructed for phylogenetic analysis. The results indicated that these 3 isolates were clustered together with C. lunata. The expression of Clg2p and ClUrase genes in mycelia and conidia was significantly (P<0.05) higher in CX-3 than in HNWB-131 and HNWB-185. This study found that the dominant pathogen of Curvularia leaf spot was a new variety of C. lunata with morphological variations in Huanghuaihai Region from 2013 to 2017. The pathogenicity of the C. lunata var. was not significantly enhanced, and the expression of Clg2p and ClUrase genes of C. lunata var. was decreased.

Doppo Matsubara, Yoshiaki Wakashima, Hidemaru Shimizu et al.

Abstract These experiments sought to empirically determine how the initial tightening force influences the ratio of the axial bolt force to the tensile load (load factor) and the load required to separate the joint interface (interface separation load) in tensile bolted joints of glued laminated timber. Load factor decreases with increasing initial tightening force; however, this tendency is reduced the greater the washer–member-end distance. In addition, tensile stiffness increases with decreasing load factor, and the interface separation load increases with increasing initial tightening force. However, in actual testing, the joint interface separated at a lower load that predicted mathematically based on the load factor and initial tightening force.

Sarah Hitchner, J. Schelhas, C. Gaither

Ning Yu, Yu-long Wei, Xin Zhang et al.

Abstract Trachelospermum jasminoides is commonly used in traditional Chinese medicine. However, the use of the plant’s local alternatives is frequent, causing potential clinical problems. The T. jasminoides sold in the medicine market is commonly dried and sliced, making traditional identification methods difficult. In this study, the ITS2 region was evaluated on 127 sequences representing T. jasminoides and its local alternatives according to PCR and sequencing rates, intra- and inter-specific divergences, secondary structure, and discrimination capacity. Results indicated the 100% success rates of PCR and sequencing and the obvious presence of a barcoding gap. Results of BLAST 1, nearest distance and neighbor-joining tree methods showed that barcode ITS2 could successfully identify all the texted samples. The secondary structures of the ITS2 region provided another dimensionality for species identification. Two-dimensional images were obtained for better and easier identification. Previous studies on DNA barcoding concentrated more on the same family, genus, or species. However, an ideal barcode should be variable enough to identify closely related species. Meanwhile, the barcodes should also be conservative in identifying distantly related species. This study highlights the application of barcode ITS2 in solving practical problems in the distantly related local alternatives of medical plants.

Francesca Pierobon, M. Zanetti, S. Grigolato et al.

F. Nurfatriani, D. Darusman, D. Nurrochmat et al.

Camila Regina Silva Baleroni RECCO, Wanderley dos SANTOS, Danilla Cristina Lemos SOUZA et al.

O objetivo deste estudo foi estimar os parâmetros genéticos para os caracteres silviculturais em Aspidosperma polyneuron Müll.Arg. e Aspidosperma cylindrocarpon Müll.Arg., para fins de conservação ex situ e uso em programas de recuperação ambiental. A coleta de sementes foi feita em árvores de polinização aberta no município de Andradina-SP e o teste experimental foi instalado na Fazenda de Ensino e Pesquisa (FEPE/UNESP), em 1997, com as espécies consorciadas com Inga marginata Willd. (ingá feijão) em linhas alternadas. O delineamento experimental utilizado foi o de blocos casualizados completos com dois tratamentos (Aspidosperma spp.), 32 repetições com parcelas lineares e 4 plantas por parcela. Aos 15 anos de idade foram mensurados diâmetro à altura do peito – DAP, altura de total – ALT e sobrevivência – SOB e os parâmetros genéticos foram estimados pelo programa Selegen. A espécie cylindrocarpon apresentou maior desenvolvimento nos caracteres de crescimento (DAP e ALT) quando comparada com A. polyneuron. A taxa de sobrevivência foi de 71% demostrando boa adaptabilidade para ambas as espécies ao local de implantação do experimento. A acurácia foi alta, sugerindo maior confiabilidade das análises estatísticas. A herdabilidade foi moderada, indicando considerável controle genético nas espécies quando se observa que o coeficiente de determinação dentro de parcela foi menor que 10% para ALT e DAP, mostrando que as parcelas lineares são homogêneas, ou seja, o delineamento experimental adotado foi eficiente. Portanto, a ausência do uso de estrutura de progênies nas populações de Aspidosperma spp. estudadas não impossibilitou que fossem obtidas informações relevantes sobre as populações naturais de Aspidosperma, porém vale ressaltar que é de suma importância que novas coletas de sementes sejam realizadas para um estudo com base em teste de progênies. This study aimed to estimate genetic parameters for the silvicultural traits: diameter at breast height, total height and survival in Aspidosperma polyneuron Müll.Arg. and Aspidosperma cylindrocarpon Müll.Arg., for ex situ conservation and forest restoration purposes. Open pollinated seeds of both species were obtained from natural populations in Andradina-SP, Brazil. The provenance test was installed at Fazenda de Ensino e Pesquisa FEPE/UNESP, in 1997, with the species of mahogany intercropped with Inga marginata Willd. (ingá feijão), in alternate rows. The experimental design was randomization block with two treatments (species of Aspidosperma), 32 replications and four plants per plot in linear plots. Diameter breast height – DBH, plant height – H and survival – S were measured at 15 years of age and genetic parameters were estimated by SELEGEN program. The species A. cylindrocarpon showed greater development in growth characters (DBH and H) compared to A. polyneuron. The survival rate was 71% showing good adaptability for both species to the place of experiment implementation. The accuracy was high, suggesting greater reliability of statistical analysis. Heritability was moderate, indicating considerable genetic control in the species when it is observed that the coefficient of determination within plot was less than 10% for H and DBH, showing that the linear plots are homogeneous, that is, the experimental design was efficient. Therefore, the absence of the use of progenies structure in the studied populations of Aspidosperma spp. did not preclude that relevant information about the natural populations of Aspidosperma were obtained, but it is noteworthy that it is very important that new seed collections must be carried to a study based on progeny test.