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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://www.repositorio.uem.mz/handle258/66" />
  <subtitle />
  <id>http://www.repositorio.uem.mz/handle258/66</id>
  <updated>2026-04-23T08:16:40Z</updated>
  <dc:date>2026-04-23T08:16:40Z</dc:date>
  <entry>
    <title>Regeneration and restoration status of miombo woodland as a result of land use changes at the buffer zone of Gile National Park, Zambezia Central Mozambique</title>
    <link rel="alternate" href="http://www.repositorio.uem.mz/handle258/1199" />
    <author>
      <name>Ameja, Leta Gobosho</name>
    </author>
    <id>http://www.repositorio.uem.mz/handle258/1199</id>
    <updated>2025-04-22T12:08:47Z</updated>
    <published>2024-07-22T00:00:00Z</published>
    <summary type="text">Title: Regeneration and restoration status of miombo woodland as a result of land use changes at the buffer zone of Gile National Park, Zambezia Central Mozambique
Authors: Ameja, Leta Gobosho
Abstract: Study about impacts of deforestation and forest degradation (D&amp;D), land use land cover change&#xD;
(LULCC), status of regeneration and restoration of Miombo woodland were conducted at the&#xD;
buffer zone of Gile National park (GNAP), central Mozambique. Household (HH) interviews, key&#xD;
informant interviews (KIIs), and focus group discussion (FGD) were used to collect data from the&#xD;
community. In total, 12 transects, 48 plots, and 240 subplots were sampled in dense Miombo&#xD;
woodland (DMWL), open Miombo woodland (OMWL), and abandoned agricultural land (AAL)&#xD;
to assess regeneration structure. Landsat imagery of 1999, 2009, and 2019 were used to analyze&#xD;
LULCC. Supervised classification was used for image classification. 200 HH were selected based&#xD;
on a simple random sampling technique. Chi-square test, Logistic regression analysis, Descriptive&#xD;
statistics, and Kruskal-Wallis were used to analyze data. Analysis and quantification of Spatio-&#xD;
temporal dynamics of the LULCC were done using QGIS 2.8.1 and ArcMap 10.1. Data collected&#xD;
through FGD and KIIs were analyzed qualitatively. Of all respondents taken for an interview, 47%&#xD;
were male-headed, and 53% were female-headed and mainly engaged in slash-and-burn&#xD;
agriculture. The most collected forest products were firewood, thatch grass, medicinal plants, and&#xD;
wild fruits. The mean forest dependency index (FDI) was 0.51 (SD = 0.40. About 80.5% of the&#xD;
respondents strongly agreed that D&amp;D is the primary cause of the loss of economic woody species&#xD;
and the scarcity of fertile land in the study area. The overall accuracy for 1999, 2009, and 2019&#xD;
were 90%, 90%, and 91%, respectively. DMWL and OMWL are the most dominant land cover&#xD;
class in 1999. Of the total land cover, about 34.57 and 40.86 % of land covers remained unchanged&#xD;
from 1999 to 2009 and 2009 to 2019 correspondingly. Within 20 years, about 14.85 % of DMWL&#xD;
has been changed to other land uses. Matured woody species density was significantly different&#xD;
between AAL&amp;DMWL and DMWL &amp; OMWL. However, there was no significant difference&#xD;
between OMWL and AAL. Regeneration density was significantly different between land-use types.&#xD;
The most regenerated family was Fabaceae. All respondents reported that no assisted restoration&#xD;
activity was/is taking place in the area. Slash and burn agriculture and animal grazing were&#xD;
ranked first and last most important factors affecting the regeneration of Miombo woodland,&#xD;
respectively. The adverse impacts of LULCC were associated with the underlying factors related&#xD;
to human activities. To solve the issue of regeneration, there must be broad-scale restoration&#xD;
projects around the area supported by awareness creation and incentive mechanisms to conserve&#xD;
forests. Our findings suggest the importance of diversifying sources of income, creating a market&#xD;
value chain for their product, and strengthening collaboration between the park and the&#xD;
community surrounding the park could reduce the dependence of the community on slash and burn&#xD;
agriculture as well as safeguard the park from degradation and at the same time maintain the&#xD;
livelihood of the community</summary>
    <dc:date>2024-07-22T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Study of the land use, land cover and climate effects on water availability in the incalaue river basin in Niassa Special Reserve, northern Mozambique</title>
    <link rel="alternate" href="http://www.repositorio.uem.mz/handle258/1198" />
    <author>
      <name>Natumanya, Ezrah</name>
    </author>
    <id>http://www.repositorio.uem.mz/handle258/1198</id>
    <updated>2025-04-22T12:08:31Z</updated>
    <published>2023-12-01T00:00:00Z</published>
    <summary type="text">Title: Study of the land use, land cover and climate effects on water availability in the incalaue river basin in Niassa Special Reserve, northern Mozambique
Authors: Natumanya, Ezrah
Abstract: O uso e Cobertura da Terra (LULC, do acrónimo em inglês) são os principais determinantes dos&#xD;
processos hidrológicos em qualquer zona climática e variam devido a actividades naturais ou&#xD;
antropogénicas e podem causar alterações na disponibilidade de água numa paisagem. Este estudo&#xD;
avaliou os efeitos do LULC e do clima na disponibilidade de água na bacia hidrográfica do rio&#xD;
Incalaue (697,02 km 2 ) na Reserva Especial do Niassa (REN). Este estudo foi importante para&#xD;
orientar os gestores da NSR sobre as necessidades de conservação da água e gestão de LULC,&#xD;
especialmente com a expansão dos assentamentos populacionais humanos e do uso da terra. Os&#xD;
resultados foram publicados em três artigos e duas manuscrito foi aceite para publicação. Este&#xD;
estudo foi importante para orientar os gestores da NSR sobre as necessidades de conservação da&#xD;
água e gestão de LULC, especialmente com a expansão dos assentamentos populacionais humanos&#xD;
e do uso da terra. A caracterização à escala da paisagem do LULC e das influências do declive do&#xD;
solo foi utilizada para avaliar o escoamento das chuvas reflectido no caudal do rio. Dois artigos&#xD;
abordaram a classificação do LULC e avaliaram a conectividade da paisagem e a sua relação com&#xD;
as fontes e disponibilidade de água. O terceiro artigo avaliou o escoamento das chuvas e utilizou&#xD;
dados de satélite de detecção remota para derivar tendências, uma vez que a bacia hidrográfica&#xD;
nunca foi medida. Um manuscrito sobre os efeitos do LULC e do clima nas áreas de origem das&#xD;
chuvas e escoamento foi aceite para publicação. Neste estudo, o Uso da Terra e Mudança de&#xD;
Cobertura (LULCC), do acrónimo em inglês) foi caracterizado por meio de imagens do satélite&#xD;
Landsat ETM/TM. A análise do LULC foi feita utilizando imagens de detecção remota, Sistemas&#xD;
de Informação Geográfica (GIS) e observações de campo. A Ferramenta de Avaliação de Solo e&#xD;
Água (modelo SWAT, do acrónimo em inglês) foi utilizada para simulações hidrológicas; e os&#xD;
softwares Microsoft Excel e Statistical Package for the Social Sciences (SPSS) foram utilizados&#xD;
nas análises estatísticas. Ao manter fixos os valores óptimos do modelo enquanto se varia o LULC&#xD;
na Ferramenta de modelo SWAT, as alterações no escoamento da precipitação modelado foram&#xD;
tomadas para reflectir os impactos do clima. O estudo encontrou mudanças no LULCC usando&#xD;
imagens amostradas de 2001, 2009 e 2019, com destaque para a área coberta por vegetação mais&#xD;
alta na ordem de Floresta de Baixa Densidade (+15,94%) &gt; Floresta de Alta Densidade (-4,15%)&#xD;
&gt; Florestas de Montanha (-5,37)&gt; Florestas de Média Densidade (-6,46%). Foram coletados dados&#xD;
de trabalho de campo (2019 – 2021). Houve uma relação estatisticamente significativa entre&#xD;
xprecipitação e escoamento superficial (P = 9,21E-37), bem como uma variação sazonal&#xD;
significativa na produção de água subterrânea nas nascentes (P = 1,29E-10) usando dados de&#xD;
campo. Não houve grandes alterações no escoamento das chuvas no período de 2001 a 2021;&#xD;
apenas com pequenas variações apenas nos meses de março (-0,17%), novembro (+0,73%),&#xD;
dezembro (+0,05%) e janeiro (+0,1%). A bacia hidrográfica tem 20 Unidades de Resposta&#xD;
Hidrológica (HRUs) dominantes e 241 individuais em 11 sub-bacias hidrográficas. A análise da&#xD;
contribuição parcial mostrou a influência do LULC e do clima na precipitação-escoamento para&#xD;
0,35 e 0,21, respectivamente. Descobriu-se que as nascentes de água subterrânea são fontes de&#xD;
água indispensáveis tanto para a vida selvagem como para as pessoas na estação seca (Junho a&#xD;
Novembro). As contribuições únicas para a ciência incluíram este ser o primeiro estudo de&#xD;
avaliação da disponibilidade de água, somando-se aos muitos estudos LULC existentes,&#xD;
explorando ao mesmo tempo o potencial para a monitorização remota da precipitação e da relação&#xD;
do fluxo do rio, bem como a proporção da contribuição parcial do LULCC e do clima para a água&#xD;
do rio. Este estudo avaliou eficazmente a disponibilidade de água subterrânea e as relações LULC&#xD;
anteriormente desconhecidas; e fez recomendações para a sua conservação como manchas de&#xD;
paisagem com valor de conservação para as pessoas e a vida selvagem</summary>
    <dc:date>2023-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Determinants of community participation in selected non-timber forest products market in Niassa Special Reserve, Niassa province, Mozambique</title>
    <link rel="alternate" href="http://www.repositorio.uem.mz/handle258/1117" />
    <author>
      <name>Gerald, Lubega</name>
    </author>
    <id>http://www.repositorio.uem.mz/handle258/1117</id>
    <updated>2024-09-05T07:24:41Z</updated>
    <published>2024-08-30T00:00:00Z</published>
    <summary type="text">Title: Determinants of community participation in selected non-timber forest products market in Niassa Special Reserve, Niassa province, Mozambique
Authors: Gerald, Lubega
Abstract: The major purpose of this study was to determine the determinants of Community Participation in&#xD;
the Selected Non-Timber Forest Products (NTFP) Market in Niassa Special Reserve (NSR), Niassa&#xD;
Province, Mozambique. Specifically, this study aimed to (i) evaluate community participation in&#xD;
the value chain as collectors, producers, and sellers of NTFPs; (ii) determine the diversity, and&#xD;
Importance Value Index (IVI) of Tree species with NTFPs attachment; (iii) determine the&#xD;
economic value of selected NTFPs towards household food security and income; and (iv) examine&#xD;
the key factors that influence the decision of the household’s participation in the selected NTFPs&#xD;
market in Mecula-Lugenda Corridor in NSR. Community-based analytical cross-section and&#xD;
longitudinal studies were done employing quantitative and qualitative approaches. Focus group&#xD;
discussions were held with members of the communities whereas key informant interviews were&#xD;
conducted with Wildlife Conservation Society officials (the management authority), traditional&#xD;
healers, and local leaders to help in identifying the different places where these species are being&#xD;
harvested. Twelve transects were established to identify tree species with NTFP attachment. Tree&#xD;
Species Diversity was determined using the Shannon diversity Index. Using households from&#xD;
selected villages along with local leaders, traditional healers, and officials managing NSR, a&#xD;
multistage sampling procedure was preferred whereby simple random sampling was used in&#xD;
choosing such households and villages. Data was collected using the household survey methods&#xD;
and market survey. The economic value of each NTFP was obtained based on the Shackleton and&#xD;
Shackleton model. Community participation in the value chain and key factors affecting the&#xD;
household decisions to participate in the selected NTFP market were investigated using the same&#xD;
sampling framework and process indicated above. Quantitatively, data was analyzed using STATA&#xD;
version 20 to generate descriptive and inferential statistics. A bivariate logistic regression model&#xD;
was used to determine the factors that primarily characterize dependence on NTFPs. Qualitatively,&#xD;
both thematic and content analysis were used. The study found that communities largely&#xD;
participated in the collection of NTFPs whereby 100% were collecting firewood, medicinal plants,&#xD;
fish, spices, grass, and ropes. The communities rarely participated in the collection of oil and bush&#xD;
meat. 80% of the community members preferred firewood, poles, ropes, wild fruits and nuts, grass,&#xD;
bamboo shoots, wild tubes, medicinal plants, and fish because they were associated with the value,&#xD;
they play about food security, health, economic security, and overall survival and economic growth&#xD;
of the area. It was also established that there is a total of 56 different tree species in 25 botanical&#xD;
families that were attached to NTFPs extraction. Fabaceae had the highest number of species (20).&#xD;
Julbernadia globiflora was the most dominant with a relative dominance of 19.37%, and&#xD;
Diplorhynchus condylocarpon (48.6048) had the highest IVI. The diversity of tree species was&#xD;
unevenly distributed in the study area however Ntimbo 2 had the highest diversity index. Different&#xD;
tree species with different families were distributed heterogeneously with diverse heights and sizes&#xD;
forming different layers. The different tree species were harvested from the roots, bark,&#xD;
trunk/branches, leaves, flowers, and seeds for the different NTFPs and were mostly harvested all&#xD;
year through. It was also established that 21 NTFPs ranging between food products, firewood, and&#xD;
construction materials were collected, produced, and traded by households living adjacent to the&#xD;
Mecula-Lugenda Corridor zones. The mean annual value of the identified NTFPs ranged from&#xD;
600.00MZN/$9.68 to 6000.00MZN/$96.77. Fish and poles had the highest mean annual value&#xD;
followed by poles, oils, sisal, firewood, and ropes. The most dominant NTFPs in terms of mean&#xD;
annual value per household were firewood, mushroom, medicinal plants, and honey. The study&#xD;
xivfindings thus established that the collection of NTFPs generally contributes 38.6% to food security&#xD;
in NSR. Lastly, the study revealed that about 90% of the households participate in collecting,&#xD;
producing, and selling non-timber forest products. The binary logistic regression revealed sex, age,&#xD;
education, family size, and time spent in the area as significantly associated with dependence on&#xD;
NTFPs. Additionally, forest fires, strong cultural attachment to forests, seasonal engagement in&#xD;
the collection, , distance to the nearby forest, construction needs, forest being a major source of&#xD;
medicine, education, household food security, ready income, tourist attraction, and affordability&#xD;
of a distance to markets were found to have a significant influence on the community’s dependence&#xD;
on NTFPs. It was recommended that there is a need to promote off-farm income-generating&#xD;
activities. Secondly, it was recommended that for effective conservation of NTFPs, strategies&#xD;
should take into consideration groups that were found to have more stake, such as the men and&#xD;
youth in planning and implementing sustainable utilization and management of forest resources.&#xD;
In addition, interventions aimed at conserving the forest should consider both in-situ and ex-situ&#xD;
conservation of the most utilized plants and trees. For instance, trees and plants that provide NTFPs&#xD;
in the form of spices, firewood, and medicines need to be preserved to avoid extinction or relieve&#xD;
pressure on the wild stock. The provision of energy-saving stoves and the promotion of biogas&#xD;
technologies as an alternative to fuelwood is recommended to reduce household overreliance on&#xD;
the forest wood plant. The NTFP value chain in the Mecula-Lugenda Corridor needs some focus&#xD;
action such as providing equipment to the collectors necessary for collection, processing, and&#xD;
conservation, building the capacities of collectors on drying, conservation, and processing&#xD;
techniques, creating, and empowering collectors’ organization and their networking with buyers,&#xD;
developing of market information system and an enabling environment that facilitates market&#xD;
access to local collectors. In addition, the promotion of tourism would broaden the market for the&#xD;
NTFPs since most of the tourists would be interested in buying these products as souvenirs.&#xD;
Furthermore, improving NTFP quality can improve NTFP prices in rural, national, and&#xD;
international markets and then reduce the pressure on forest resources and biodiversity in general.&#xD;
Lastly, it is recommended that the domestication of indigenous tree species should be encouraged&#xD;
for the reduction of poverty and for balance to be maintained in the ecosystem. Therefore, the&#xD;
government should encourage the cultivation of edible and medicinal tree species around homes&#xD;
(home gardens) incorporated with honey production. This will reduce encroachment into the forest&#xD;
for tree species exploitation for economic and medicinal reasons</summary>
    <dc:date>2024-08-30T00:00:00Z</dc:date>
  </entry>
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