Pantaleo Munishi

Prof. Pantaleo Munishi


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2016 in Ecology and Society
Verified
Journal Article
Open access
PDF file
Claudia CapitaniClaudia Capitani
Claudia Capitani
KMKusaga Mukama
Kusaga Mukama
BMBoniface Mbilinyi
Boniface Mbilinyi
IMIsaac O. Malugu
Isaac O. Malugu
PMPantaleo Munishi
Pantaleo Munishi
Rob MarchantRob Marchant
Rob Marchant
Capitani, C., K. Mukama, B. Mbilinyi, I. Malugu, P. K. T. Munishi, N. D. Burgess, P. J. Platts, S. Sallu, and R. Marchant. 2016. From local scenarios to national maps: a participatory framework for envisioning the future of Tanzania. Ecology and Society 21(3):4.http://dx.doi.org/10.5751/ES-08565-210304

28 April 2014 in Carbon Balance and Management
Verified
Journal Article
Open access
PDF file
SWSimon Willcock
Simon Willcock
OPOliver L. Phillips
Oliver L. Phillips
PPPhilip J Platts
Philip J Platts
ABAndrew Balmford
Andrew Balmford
NBNeil D Burgess
Neil D Burgess
SLSimon L Lewis
Simon L Lewis
The carbon stored in vegetation varies across tropical landscapes due to a complex mix of climatic and edaphic variables, as well as direct human interventions such as deforestation and forest degradation. Mapping and monitoring this variation is essential if policy developments such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation) are to be known to have succeeded or failed. We produce a map of carbon storage across the watershed of the Tanzanian Eastern Arc Mountains (33.9 million ha) using 1,611 forest inventory plots, and correlations with associated climate, soil and disturbance data. As expected, tropical forest stores more carbon per hectare (182 Mg C ha-1) than woody savanna (51 Mg C ha-1). However, woody savanna is the largest aggregate carbon store, with 0.49 Pg C over 9.6 million ha. We estimate the whole landscape stores 1.3 Pg C, significantly higher than most previous estimates for the region. The 95% Confidence Interval for this method (0.9 to 3.2 Pg C) is larger than simpler look-up table methods (1.5 to 1.6 Pg C), suggesting simpler methods may underestimate uncertainty. Using a small number of inventory plots with two censuses (n = 43) to assess changes in carbon storage, and applying the same mapping procedures, we found that carbon storage in the tree-dominated ecosystems has decreased, though not significantly, at a mean rate of 1.47 Mg C ha-1 yr-1 (c. 2% of the stocks of carbon per year). The most influential variables on carbon storage in the region are anthropogenic, particularly historical logging, as noted by the largest coefficient of explanatory variable on the response variable. Of the non-anthropogenic factors, a negative correlation with air temperature and a positive correlation with water availability dominate, having smaller p-values than historical logging but also smaller influence. High carbon storage is typically found far from the commercial capital, in locations with a low monthly temperature range, without a strong dry season, and in areas that have not suffered from historical logging. The results imply that policy interventions could retain carbon stored in vegetation and likely successfully slow or reverse carbon emissions.

1 January 2015 in Journal of Ornithology
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Journal Article
Closed access
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LBLinn M. Bjørvik
Linn M. Bjørvik
SDSvein Dale
Svein Dale
GHGudmund H. Hermansen
Gudmund H. Hermansen
PMPantaleo Munishi
Pantaleo Munishi
SMStein R. Moe
Stein R. Moe

1 October 2013 in Global Environmental Change
Verified
Journal Article
Closed access
NBNeil D. Burgess
Neil D. Burgess
SMShadrack Mwakalila
Shadrack Mwakalila
PMPantaleo Munishi
Pantaleo Munishi
MPMarion Pfeifer
Marion Pfeifer
SWSimon Willcock
Simon Willcock
Rob MarchantRob Marchant
Rob Marchant

8 April 2008 in African Journal of Ecology
Verified
Journal Article
Closed access
PDF file
PMPantaleo Munishi
Pantaleo Munishi
FPF. Philipina
F. Philipina
RTR. P. C. Temu
R. P. C. Temu
NPN. E. Pima
N. E. Pima

13 June 2019 in International Journal of Bonorowo Wetlands
Verified
Journal Article
Open access
PDF file
ILInnocent Bernard Lupembe
Innocent Bernard Lupembe
PMPantaleo Munishi
Pantaleo Munishi
Lupembe IB, Munishi PKT. 2019. Carbon stocks in the mangrove ecosystem of Rufiji River Delta, Tanzania. Bonorowo Wetlands 9: 32-41. Carbon sequestration is one of the most important ecosystem services provided by mangrove ecosystems. Despite this, most Tanzanian carbon storage research has focused on terrestrial environments. Carbon and volume prediction models for the mangrove ecosystem in Tanzania's Rufiji River Delta were constructed in this study. The created models were utilized to calculate carbon emissions. At various depths, the importance of soil organic carbon as a carbon storage was also evaluated. Using linear regression, a damaging sample of 50 trees spanning various DBH size classes was used to create biomass and volume, prediction models. Wet oxidation was used to determine the amount of organic carbon in the soil. Biomass models for stems, branches, roots, leaves, and twigs and volume prediction models for total volume were constructed. At P0.05 and P0.001, respectively, all linear and power form models constructed were significant. At 0-15 cm, 15-30 cm, and 30-60 cm, organic carbon was 39.61 t ha-1, 28.04 t ha-1, and 32.85 t ha-1, respectively. The surface layer (0-15 cm) had considerably more soil organic carbon (39.61 t ha-1) than that at 15-30 cm (28.04 t ha-1) and 30-60 cm (32.85 t ha-1) depths (P0.05). The most biomass C was contributed by Rhizophora mucronata (39.87%), followed by Avicennia marina (39.86%). (28.06%). The smallest contributions came from Sonneratia alba (2.58%) and Lumnitzera racemosa (1.98%). Rhizophora mucronata contributed 39.3% of the overall volume, whereas Avicennia marina contributed 27.1%. Overall, soil organic carbon (61.6%) was nearly twice that of vegetation carbon (38.4%), highlighting the importance of soil as a carbon storage in mangrove ecosystems.