Modelling the sustainable harvest of Sclerocarya birrea subsp. caffra fruits in the South African lowveld

Emanuel, Petrônio; Shackleton, Charlie M.; Baxter, Jeremy

doi:10.1016/j.foreco.2005.03.066

Cited by 71 publications

(41 citation statements)

References 33 publications

(44 reference statements)

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“…The distribution of size classes in reserves is an important consideration when determining the viability of these large tree populations (Helm and Witkowski 2012). With recruitment rates being linked to the production of fruit, it is important that trees which are producing large amounts of fruit are preserved in reserves to ensure that sustainable recruitment rates are taking place (Emanuel et al 2005, Helm et al 2011. The majority of research has been focused on assessing the recruitment and distribution of height classes of S. birrea due to its commercial usage, but it can be assumed that similar height class distributions will be present for A. nigrescens.…”

Section: Discussionmentioning

confidence: 99%

Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning

et al. 2012

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Citation: Smith, A., B. Page, K. Duffy, and R. Slotow. 2012. Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning. Ecosphere 3(6):56. http://dx.doi.org/10.1890/ES12-00053.1Abstract. Large trees, as keystone structures, are functionally important in savanna ecosystems, and low recruitment and slow growth makes their conservation important. Understanding factors influencing their distribution is essential for mitigation of excessive mortality, for example from management fires or large herbivores. We recorded the locations of large trees in Hluhluwe-Imfolozi Park (HiP) using GPS to record trees along 43 km of 10 m-wide transects. Maximum entropy modeling (MaxEnt) uses niche modeling to predict the distribution of a species from the probability of finding it within raster squares, based on environmental variables and recorded locations. MaxEnt is typically applied at a regional spatial scale, and here we assessed its usefulness when predicting the distribution of species at a small (local) scale. HiP has variable topography, heterogeneous soils, and a strong rainfall gradient, resulting in a wide variety of habitat types. We used locations of 179 Acacia nigrescens and 106 Sclerocarya birrea (large trees ! 5m), and raster environmental layers for: aspect, elevation, geology, annual rainfall, slope, soil and vegetation. A. nigrescens was largely restricted to the Imfolozi section, while S. birrea had a wider distribution across the reserve. Understanding the interaction of environmental variables dictating tree distribution may facilitate habitat restoration, and will assist planning decisions for persistence of large trees within reserves, including options to reduce fire frequency or herbivore impacts. Though the AUC (Area Under the Curve) values used to test model predictions were high for both species, the ground truthing test data showed that distribution for A. nigrescens was more accurate than that for S. birrea, highlighting the need for independent test data to assess model accuracy. We emphasize that MaxEnt can be used at finer spatial scales than those typically used for species occurrence, but models must be tested using spatially independent test data.

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Section: Discussionmentioning

confidence: 99%

Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning

et al. 2012

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“…This can be achieved by selecting the best pulp weight provenance for further distribution or grafting. This is a very important fruit trait of S. birrea where production of Marula beer and wine is much dependent on it [26,27].…”

Section: Variation In Fruit Characteristics Among Provenancesmentioning

confidence: 99%

Phenotypic Variation in Fruit Morphology among Provenances ofSclerocarya birrea(A. Rich.) Hochst.

Mkwezalamba

Munthali

Missanjo³

2015

International Journal of Forestry Research

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Sclerocarya birrea (A. Rich.) Hochst. is a multipurpose fruit tree which is very useful in providing food security and meeting nutritional and economic needs. This study was conducted to assess eighteen provenances of Sclerocarya birrea planted in Mangochi, Malawi. The trial was assessed for fruit traits at fifteen years of age. There were significant ( < 0.001) variations among the provenances in number of fruits, fruit weight, pulp weight, seed weight, fruit length, and diameter. Magunde provenance from Mozambique had the highest mean number of fruits, 2196 ± 200. Mangochi and Moamba provenances from Malawi and Mozambique were the most outstanding in the other parameters measured attaining the mean fruit weight of 20.89 ± 0.25 g and 25.67 ± 0.67 g, pulp weight of 25.70 ± 0.08 g and 21.55 ± 0.83 g, seed weight of 4.81 ± 0.35 g and 4.12 ± 0.18 g, fruit length of 2.61 ± 0.14 cm and 2.33 ± 0.07 cm, and fruit diameter of 2.33 ± 0.15 cm and 1.97 ± 0.08 cm, respectively. There was no significant ( > 0.05) correlation between number of fruits and the other fruit traits. However, there were significant ( < 0.05) and strong positive relationships between fruit weight and pulp weight ( = 0.987) and fruit length and diameter ( = 0.775). This suggests that fruit weight can be used indirectly for selection of pulp. Further studies should investigate fruit taste quality of products from the fruits.

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“…Assim sendo, estas definições apresentam uma abordagem multidisciplinar, retratada pelos diversos trabalhos existentes em diferentes áreas afins das ciências florestais, como engenharia florestal (BORGES FILHO;FELFILI, 2003), (EMANUEL et al, 2005); botânica econômica (GODOY et al, 1993); etnobotânica e ecologia (ZARDO, 2008); desenvolvimento social (AQUINO et al, 2008); economia (AFONSO, 2008), biologia da conservação (GOMES; GOMES, 2000), entre outras.…”

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A Sociobiodiversidade Inserida Na Contextualização Da Apa Algodoal-Maiandeua

Monteiro

2017

R. gest. sust. ambient.

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RESUMOEste texto descreve uma pesquisa envolvendo quatro comunidades, as quais constituem a Área de Proteção Ambiental Algodoal-Maiandeua, situada no município de Maracanã, região nordeste do estado do Pará. Para isto, parte-se do aspecto cultural e da valorização dos saberes tradicionais. Neste sentido, objetivou-se registrar os Produtos Florestais Não-Madereiros (PFNMs) mais utilizados pela população local. A coleta de dados privilegiou a metodologia qualitativa, por meio da observação participante e, assim, as respostas obtidas sobre o conhecimento local associado a eles, propiciam contribuições no que concerne à gestão ambiental da unidade de conservação. Palavras-Chave:APA Algodoal-Maiandeua; Conhecimento tradicional; Sociobiodiversidade; Produto florestal não madeireiro.

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Modelling the sustainable harvest of Sclerocarya birrea subsp. caffra fruits in the South African lowveld

Cited by 71 publications

References 33 publications

Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning

Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning

Phenotypic Variation in Fruit Morphology among Provenances ofSclerocarya birrea(A. Rich.) Hochst.

A Sociobiodiversidade Inserida Na Contextualização Da Apa Algodoal-Maiandeua

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