Regeneration Status of Mangrove Forests in Mida Creek, Kenya: A Compromised or Secured Future?

Kairo, James Gitundu; Dahdouh‐Guebas, Farid; Gwada, P.; Ochieng, Caroline; Koedam, Nico

doi:10.1579/0044-7447-31.7.562

Cited by 96 publications

(50 citation statements)

References 11 publications

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“…The total area of mangrove has shown a reduction in Kenya since 1985 (Kirui et al, 2012). A study by Kairo (2002) and Dahdouh-Guebas (2000) in Mida Creek confirmed a significant decline and disturbance of mangrove forest over the last 20 -30 years mainly for poles used for house construction. In this research based on the analysis of the 2010, encroachments in to the mangrove forest have been observed.…”

Section: Impact Of Land Use Change On Mangrove Forestmentioning

confidence: 99%

Land Use and Land Cover Change in the Coastal Area of Watamu Mida Creek, Kenya

Alemayehu

2016

OJF

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Watamu Mida creek coastal areas, mainly the shoreline, the mangroves and the general environment have been changing due to the impact of land use change, shoreline erosion, human population pressure and the expansion of tourism sector. This research assesses the impact of land use change on mangrove dynamics and shoreline erosion as well as the main driving factors that cause these changes in Watamu Midacreek. This study uses old aerial photographs (

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Section: Impact Of Land Use Change On Mangrove Forestmentioning

confidence: 99%

Land Use and Land Cover Change in the Coastal Area of Watamu Mida Creek, Kenya

Alemayehu

2016

OJF

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“…In both countries, eight species of mangrove plants occur: Avicennia marina, Ceriops tagal, Rhizophora mucronata, Bruguiera gymnorhiza, Lumnitzera racemosa, Xylocarpus granatum, Heritiera littoralis, and Sonneratia alba. Fishing and farming are the main economic activities in the area, but people harvest mangrove vegetation for tannins, fuelwood, medicine, boatbuilding, carpentry, and crafting (Semesi, 1998;Barbosa et al, 2001;Kairo et al, 2002). The study area covers over 350 km of coastline from Mtwara Bay (Tanzania), north of the mouth of the Ruvuma estuary, and south along the Quirimbas archipelago to Pemba Bay (Mozambique).…”

Section: Study Regionmentioning

confidence: 99%

Analysis of cover change (1995–2005) of Tanzania/Mozambique trans‐boundary mangroves using Landsat imagery

Ferreira

Andrade

Bandeira

et al. 2009

Aquatic Conservation

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ABSTRACT1. Despite the ecological, environmental, and economic importance of mangroves, they are declining at an alarming rate worldwide, mostly as a result of human activities.2. Along the eastern African coast, Mozambique has the largest mangrove area. Fishing and farming are the main economic activities in the area, and people harvest mangrove vegetation for tannins, fuel wood, traditional medicine, boat-building, carpentry, and crafting.3. Landsat 5 TM imagery was used to map the distribution of trans-boundary mangrove areas along the Mtwara-Quirimbas Complex. Results for 1995 and 2005 are presented for the entire coastline and in more detail for the Ruvuma estuary, Quiterajo, Ibo/Quirimba islands, and Pemba Bay. Results were validated with a groundtruthing excursion in 2006, showing an overall thematic accuracy of 73%.4. Total estimated area of mangrove was 357 km 2 in 1995 and 368 km 2 in 2005, with the small net gain of 3% corresponding to a total gain of 32 km 2 and a total loss of 21 km 2 over this decade. 5. Results suggest that although Landsat TM imagery can be effective in mapping mangrove distribution, caution must be used in inferring its ecological condition.

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“…They are fingerprints of important key factors, such as local competition 2804 M. N. I. Khan et al: Tree competition and stand dynamics lead to spatial patterns for photosynthetic light in the canopy (Clarke and Allaway, 1993;Khan et al, 2004), microtopography (DahdouhGuebas et al, 2007;Di Nitto et al, 2008), vegetation composition (Jayatissa et al, 2002;Kairo et al, 2002), sediment chemistry (Thiobodeau and Nickerson, 1986;Clarke and Allaway, 1993;McKee, 1995;Alongi et al, 2004), tidal elevation (Clarke and Myerscough, 1993), salinity (Clarke and Allaway, 1993;Krauss et al, 2008), dispersal patterns (Rabinowitz, 1978;Clarke and Myerscough, 1991;Clarke, 1993), and the competitive ability of species (Clarke and Myerscough, 1993;Berger andHildenbrandt, 2000, 2003;Canham et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…tree size, species composition, soil-plant interaction, etc.) between terrestrial (Manabe et al, 2000;Hegland et al, 2001;Souza and Martins, 2004;Wilson et al, 2004;Kubota, 2006;Salas et al, 2006) and mangrove (Osunkoya and Greese, 1997;Krause et al, 2001;Kairo et al, 2002;Dahdouh-Guebas and Koedam, 2006) forest systems. Structural patterns in mangrove forests depend on the distance to the sea or proximate water channel (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Structural patterns in mangrove forests depend on the distance to the sea or proximate water channel (e.g. Osunkoya and Greese, 1997;Kairo et al, 2002), elevation (Castaneda-Moya et al, 2006) or even latitudinal gradients (DeLange and DeLange, 1994). In mangrove forests, the spatial patterns of individuals have been analysed based on the distance from the sea to the forest (Osunkoya and Greese, 1997), on soil resources regulators and the hydroperiod (Castaneda-Moya et al, 2006) or on the ecosystem level (Krause et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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How do tree competition and stand dynamics lead to spatial patterns in monospecific mangroves?

et al. 2013

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Information on mangrove stand development is rare because long-term monitoring data is often lacking. Such information is important in order to plan management measures effectively. Novel approaches based on existing datasets are required to bridge this gap of knowledge. This study uses a unique combination of field data analyses with simulation experiments in order to demonstrate how information on mangrove dynamics can be extracted if data are sparse. The paper provides a baseline characterization of stand development in a monospecific pioneer mangrove stand of Kandelia obovata. Point pattern analyses revealed that in the young stage, self-thinning has started but has not yet lead to a regularity of spatial tree distribution in the entire stand, and trees located in smaller clumps hinder each other in growth but do not lead to a significant size class differentiation. However, after ca. 2 decades the self-thinning and the size class differentiation start to become more visible. A mutual inhibition of growth was observed within 2 m circular distance (r) in the young stage and within 3 m distance after two decades of stand development as confirmed by the negative values of mark correlation function. As a stand grows older the spatial pattern of individuals become more regular from a clustered pattern. In order to understand and predict the future stand development, simulation experiments were carried out by means of the individual-based model KiWi

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Regeneration Status of Mangrove Forests in Mida Creek, Kenya: A Compromised or Secured Future?

Cited by 96 publications

References 11 publications

Land Use and Land Cover Change in the Coastal Area of Watamu Mida Creek, Kenya

Land Use and Land Cover Change in the Coastal Area of Watamu Mida Creek, Kenya

Analysis of cover change (1995–2005) of Tanzania/Mozambique trans‐boundary mangroves using Landsat imagery

How do tree competition and stand dynamics lead to spatial patterns in monospecific mangroves?

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