Recovery of Forest Land Due to Forest Landscape Restoration Following Restriction of Mining Activities in the Northern Part of Amani Nature Forest Reserve, Tanga, Tanzania

Abraham Johnbosco Arsen Msoma; Emmanuel Fred Nzunda; Bernardol John Manyanda; Abdulkadir Mohammed Ramiya

doi:10.37284/eajfa.7.1.2555

Abraham Johnbosco Arsen Msoma Sokoine University of Agriculture
Emmanuel Fred Nzunda Sokoine University of Agriculture
Bernardol John Manyanda Sokoine University of Agriculture
Abdulkadir Mohammed Ramiya Sokoine University of Agriculture

DOI: https://doi.org/10.37284/eajfa.7.1.2555

Keywords: Google Earth Engine Platform, Persistence, and Change, Spatial Analysis, Conservation and Monitoring

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Abstract

Forest landscape restoration plays a pivotal role in preserving global biodiversity and enhancing human well-being by addressing social, economic, and ecological challenges. However, illegal mining activities pose significant threats to biodiversity hotspots, including the Amani Nature Forest Reserve (ANFR). This study evaluated forest recovery progress following the enforcement of restrictions against illegal mining in the northern part of ANFR, Tanga, Tanzania. Landsat images from 2000, 2017, and 2023 were analyzed using supervised image classification with the Random Forest algorithm on Google Earth Engine. The Results showed notable land cover transitions. In 2000, the area comprised 14.56% Closed Forest, 35.64% Open Forest, 23.91% mining, and 25.89% Cropland. By 2023, the proportion shifted to 65.77% Closed Forest, 14.37% Open Forest, 12.02% Mining, and 7.83% Cropland. Classification accuracy exceeded 80%, with Kappa coefficients above 75% for all periods, indicating substantial agreement and reliability of the classification process. Findings revealed a significant recovery of Closed Forests, replacing Open Forests, Mining, and Cropland, albeit with spatial and temporal variations. Recovery remains slow in persistent mining-affected areas. The study recommends targeted interventions such as enrichment planting and stricter law enforcement in areas with slow recovery. Further research and monitoring, including advanced technologies such as LiDAR and hyper-spectral imaging, are essential to enhance restoration efforts, sustain biodiversity, and ensure the long-term resilience of ANFR

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References

Achmad, A. (2023). Impact of land use and land cover changes on carbon stock in Aceh Besar District, Aceh, Indonesia.

Allek, A., Viany Prieto, P., Korys, K. A., Rodrigues, A. F., Latawiec, A. E., & Crouzeilles, R. (2023). How does forest restoration affect the recovery of soil quality? A global meta-analysis for tropical and temperate regions. In Restoration Ecology (Vol. 31, Issue 3).

Balaguer, L., Escudero, A., Martín-Duque, J. F., Mola, I., & Aronson, J. (2014). The historical reference in restoration ecology: Re-defining a cornerstone concept. Biological Conservation, 176, 12–20.

Bentsi-Enchill, F., Damptey, F. G., Pappoe, A. N. M., Ekumah, B., & Akotoye, H. K. (2022). Impact of anthropogenic disturbance on tree species diversity, vegetation structure and carbon storage potential in an upland evergreen forest of Ghana, West Africa. Trees, Forests and People, 8(March), 100238

Bufebo, B., & Elias, E. (2021). Land Use/Land Cover Change and Its Driving Forces in Shenkolla Watershed, South Central Ethiopia. Scientific World Journal, 2021.

Camara, G., Simoes, R., Ruivo, H. M., Andrade, P. R., Soterroni, A. C., Ramos, F. M., Ramos, R. G., Scarabello, M., Almeida, C., Sanches, I., Maurano, L., Coutinho, A., Esquerdo, J., Antunes, J., Venturieri, A., & Adami, M. (2023). Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia. Environmental Research Letters, 18(6).

Chazdon. (2017). Landscape restoration, natural regeneration, and the forests of the future. Annals of the Missouri Botanical Garden, 102(2), 251–257.

Corcoran, J., Keegan, D., Konsa, M., Lewis, E., Wilding, W., Abieodun Lamptey, E., Atwell, E., Blackman, T., Clay, J., Currado, L., Gordon, S., Hughes, O., Jiang, W.-J., Kanabar, S., Lader, R., Lee, P., Liebl, J., Ma, M., McGraw, M., … Satizábal, M. G. (2012). Equator Initiative Case Studies Local sustainable development solutions for people, nature, and resilient communities AAmani Nature Reserve UNDP Equator Initiative Case Study Series Contributing Writers.

Daiyoub, A., Gelabert, P., Saura-Mas, S., & Vega-Garcia, C. (2023). War and Deforestation: Using Remote Sensing and Machine Learning to Identify the War-Induced Deforestation in Syria 2010–2019. Land, 12(8), 1–18.

Doggart, N., Morgan-Brown, T., Lyimo, E., Mbilinyi, B., Meshack, C. K., Sallu, S. M., & Spracklen, D. V. (2020). Agriculture is the main driver of deforestation in Tanzania. Environmental Research Letters, 15(3).

Doggart, N., Mugasha, W. A., Mpiri, A., & Morgan-brown, T. (2023). Agricultural fallows are the main driver of natural forest regeneration in Tanzania Agricultural fallows are the main driver of natural forest regeneration in Tanzania.

Esengulova, N., Balena, P., De Lucia, C., Lopolito, A., & Pazienza, P. (2024). Key Drivers of Land Use Changes in the Rural Area of Gargano (South Italy) and Their Implications for the Local Sustainable Development. Land, 13(2). https://doi.org/10.3390/land13020166

FAO. (2020). The World’s Forests 2020. In Geographical Review (Vol. 14, Issue 1).

Guariguata, M. R. (2021). Forest and Landscape Restoration. Forest and Landscape Restoration.

Hogland, J., Billor, N., & Anderson, N. (2013). Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing. European Journal of Remote Sensing, 46(1), 623–640.

Khalid, N. A. C. & S. (2018). Reshaping the Terrain Landscape Restoration in Tanzania. Global Landscape Forum, August, 1–4.

Koskikala, J., Kukkonen, M., & Käyhkö, N. (2020). Mapping natural forest remnants with multi-source and multi-temporal remote sensing data for more informed management of global biodiversity hotspots. Remote Sensing, 12(9), 1–21.

Kouassi, J. L., Gyau, A., Diby, L., Bene, Y., & Kouamé, C. (2021). Assessing land use and land cover change and farmers’ perceptions of deforestation and land degradation in south-west Côte d’Ivoire, West Africa. Land, 10(4).

Lanceman, D., Sadat-Noori, M., Gaston, T., Drummond, C., & Glamore, W. (2022). Blue carbon ecosystem monitoring using remote sensing reveals wetland restoration pathways. Frontiers in Environmental Science, 10(November), 1–16.

Laudari, H. K., Sapkota, L. M., Maraseni, T., Subedi, P., Pariyar, S., Kaini, T. R., Lopchan, S. B., Weston, C., & Volkova, L. (2024). Community forestry in a changing context: A perspective from Nepal’s mid-hill. Land Use Policy, 138(December 2021).

Lemma, D. B., Gebretsadik, K. T., & Debela, S. K. (2021). Forest cover change detection in relation to climate variability and LULC changes using GIS and RS techniques. A case of the Kafa zone, southwest Ethiopia.

Liu, J. J., & Slik, J. W. F. (2014). Forest fragment spatial distribution matters for tropical tree conservation. Biological Conservation, 171.

Lolila, N. J., Shirima, D. D., & Mauya, E. W. (2023). Tree species composition along environmental and disturbance gradients in tropical sub-montane forests, Tanzania. PLoS ONE, 18(3 March), 1–19.

Mansourian, S., Sumbi, P., Bonifasi, E., Meshack, C., Malugu, I., & Vallauri, D. (2019). Lessons Learnt from 10 Years of Restoration of Coastal and Sub-montane Tropical Forests: The East Usambara Landscape (Tanzania). WWF-France, 36.

Manyanda, B. J., & Kashaigili, J. J. (2022). Assessment of Forest Cover Change under Different Forest Tenure Regimes in Ngitili Management Systems in Meatu District, Tanzania. Tanzania Journal of Forestry and Nature Conservation, 91(2), 120–131.

Maurya, K., Mahajan, S., & Chaube, N. (2021). Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a review. Complex and Intelligent Systems, 7(6), 2797–2818.

Melalih, A. (2023). Spatio-temporal structure of natural and anthropogenic land use in a semi-arid watershed: Northwest Algeria.

MNRT. (2021). National Forestry Research Master Plan III (NAFORM III) 2021 - 2031. Naform Iii, 2021–2031.

Mohammed, E. M. I., Elhag, A. M. H., Ndakidemi, P. A., & Treydte, A. C. (2021). Anthropogenic pressure on tree species diversity, composition, and growth of balanites aegyptiaca in dinder biosphere reserve, Sudan. Plants, 10(3), 1–18.

Morgan, D., Strindberg, S., Winston, W., Stephens, C. R., Traub, C., Ayina, C. E., Ndolo Ebika, S. T., Mayoukou, W., Koni, D., Iyenguet, F., & Sanz, C. M. (2019). Impacts of Selective Logging and Associated Anthropogenic Disturbance on Intact Forest Landscapes and Apes of Northern Congo. Frontiers in Forests and Global Change, 2(July).

Mpanda, M. M., Luoga, E. J., Kajembe, G. C., & Eid, T. (2011). Impact of forestland tenure changes on forest cover, stocking and tree species diversity in amani nature reserve, Tanzania. Forests Trees and Livelihoods, 20(4), 215–229.

MRNT. (2010). Tanzania forest service framework document. April.

Mutimba, K., & Watanabe, T. (2024). Land Use Land Cover (LULC) Change Dynamics Associated with Mining Activities in Kitwe District and Adequacy of the Legal Framework on Mine Closure in Zambia. 110–132.

Mwendwa, B. (2021). Invasion status and potential management options for the invasive tree species maesopsis eminii in amani nature forest reserve, Tanzania.

NBS. (2022). Administrative Units Population Distribution Report. National Population and House Census of Tanzania. National Bureau of Statistics, Dar Es Salaam, Tanzania.

Nguyen, L. B. (2020). Land cover change detection in northwestern Vietnam using Landsat images and Google Earth Engine. Journal of Water and Land Development, 46(October), 162–169.

Nzunda, E. F. (2011). Sprouting, succession and tree species diversity in a South African coastal dune forest. Journal of Tropical Ecology, 27(2), 195–203.

Nzunda, E. F., & Midtgaard, F. (2019). Deforestation and loss of bushland and grassland primarily due to expansion of cultivation in mainland Tanzania (1995–2010). Journal of Sustainable Forestry, 38(6), 509–525.

Nzyoka, J., Minang, P. A., Wainaina, P., Duguma, L., Manda, L., & Temu, E. (2021). Landscape governance and sustainable land restoration: Evidence from Shinyanga, Tanzania. Sustainability (Switzerland), 13(14).

Obodai, J., Mohan, G., & Bhagwat, S. (2023). Beyond legislation: Unpacking land access capability in small-scale mining and its intersections with the agriculture sector in sub-Saharan Africa. Extractive Industries and Society, 16(April), 101357.

Ozgeldinova, Z., Mukayev, Z., Zhanguzhina, A., Bektemirova, A., & Ulykpanova, M. (2023). Spatial and temporal analysis of landscape dynamics in the Kostanay region under an- thropogenic impacts. Archives of Environmental Protection, 49(4), 80–94.

Pancrace, P., Salanga, R. J., & Lalika, M. C. S. (2022). Vegetation Cover Changes due to Artisanal and Small-Scale Gold Mining in Bukombe-Mbogwe Forest Reserve in Geita Region, Tanzania. Tanzania Journal of Forestry and Nature Conservation, 91(2), 66–82.

Rotich, B., Kindu, M., Kipkulei, H., Kibet, S., & Ojwang, D. (2022). Impact of land use/land cover changes on ecosystem service values in the Cherangany Hills Water Tower, Kenya. Environmental Challenges, 8.

Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences, 08(04), 611–622.

Salman, H. A., Kalakech, A., & Steiti, A. (2024). Random Forest Algorithm Overview. 2024, 69–79.

Silale, J., & Nyambegera, S. M. (2014). The Influence of Socio-Economic Factors in the Transformation of Rural Economies in Arid and Semi-Arid Areas: Lessons from Turkana County in Northern Kenya. International Journal of Business and Research (IJBSR), 4(1).

Sówka, I., Badura, M., Pawnuk, M., Szymański, P., & Batog, P. (2020). The use of the GIS tools in the analysis of air quality on the selected University campus in Poland. 46(1), 100–106.

Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022). The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8).

Tesha, D. L., Mauya, E. W., Madundo, S. D., & Emily, C. J. (2023). Role of topography, soil and climate on forest species composition and diversity in the West Usambara Montane Forests of Tanzania Role of topography, soil and climate on forest species composition and diversity in the West Usambara Montane Forests of Ta. July.

TFS. (2022). Forest Management Plan for Amani Nature Forest Reserve. 1–107.

Tikuye, B. G., Rusnak, M., Manjunatha, B. R., & Jose, J. (2023). Land Use and Land Cover Change Detection Using the Random Forest Approach: The Case of The Upper Blue Nile River Basin, Ethiopia. Global Challenges, 7(10), 1–11.

Timsina, S., Hardy, N. G., Woodbury, D. J., Ashton, M. S., Cook-Patton, S. C., Pasternack, R., & Martin, M. P. (2022). Tropical surface gold mining: A review of ecological impacts and restoration strategies. Land Degradation and Development, 33(18), 3661–3674.

URT. (2019). Forestry and Beekeeping Division Status, ecological potential and sustainable management of forest resources in Mainland Tanzania.

Vincent, J. R., Curran, S. R., & Ashton, M. S. (2021). Forest Restoration in Low- and Middle-Income Countries.

Xi, E. (2022). Image Classification and Recognition Based on Deep Learning and Random Forest Algorithm. 2022.

You, Y., Cao, J., & Zhou, W. (2020). A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenarios. Remote Sensing, 12(15).

Zahor, Z. (2022). Assessing the Role of Community Forest Management: A Geographical Information System (GIS)-based approach. University of Dar Es Salaam Library Journal, 17(1), 91–113.