The role of forests in the mitigation of global climate change: Emprical evidence from Tanzania

Ahmmed, 2020, Adaptation strategies with changing climatic conditions: a case study of coastal Bhola district, Bangladesh, Environ. Biol. Res., 2, 11 Anderson, 1976 Ashagre, 2018, Integrated modelling for economic valuation of the role of forests and woodlands in drinking water provision to two African cities, Ecosyst. Serv., 32, 50, 10.1016/j.ecoser.2018.05.004 Bodart, 2013, Continental estimates of forest cover and forest cover changes in the dry ecosystems of Africa between 1990 and 2000, J. Biogeogr., 40, 1036, 10.1111/jbi.12084 Brink, 2009, Monitoring 25 years of land cover change dynamics in Africa: a sample based remote sensing approach, Appl. Geogr., 29, 501, 10.1016/j.apgeog.2008.10.004 Cameron, 2019, High greenhouse gas emissions mitigation benefits from mangrove rehabilitation in Sulawesi, Indonesia, Ecosyst. Serv., 40, 10.1016/j.ecoser.2019.101035 Chang'a, 2017, Spatial and temporal analysis of rainfall and temperature extreme indices in Tanzania, Atmos. Clim. Sci., 07, 525 Chemura, 2020, The impact of land-use/land cover changes on water balance of the heterogeneous Buzi sub-catchment, Zimbabwe, Remote Sens. Appl. Soc. Environ., 18 Cuaresma, 2017, Economic development and forest cover: evidence from satellite data, Sci. Rep., 7, 40678, 10.1038/srep40678 Domke, G.M., Walters, B.F., Nowak, D.J., Smith, J.E., Ogle, S.M., Coulston, J.W., Wirth, T.C., 2020. Greenhouse gas emissions and removals from forest land, woodland and urban trees in the United States (1990-2018). Resource updates FS-227. Dwarakish, 2015, Impact of land use change on hydrological systems: a review of current modeling approaches, Cogent Geosci., 1, 10.1080/23312041.2015.1115691 Fahrig, 2003, Effects of Habitat Fragmentation on Biodiversity, Annu. Rev. Ecol. Evol. Syst., 34, 487, 10.1146/annurev.ecolsys.34.011802.132419 FAO., 2016. Map accuracy assessment and area estimation : a practical guide. National Forest Monitoring Assessment Working Paper 69. Rome. FAO., 2020. Global forest resources assessment 2020: main report. Rome. Federici, 2015, New estimates of CO2 forest emissions and removals: 1990–2015, For. Ecol. Manag., 352, 89, 10.1016/j.foreco.2015.04.022 Foody, 2010, Assessing the accuracy of land cover change with imperfect ground reference data, Remote Sens. Environ., 114, 2271, 10.1016/j.rse.2010.05.003 Gedefaw, 2020, A Cloud-based evaluation of the national land cover database to support new Mexico's food–energy–water systems, Remote Sens., 12, 1830, 10.3390/rs12111830 Godoy, 2011, Deforestation and CO2 emissions in coastal Tanzania from 1990 to 2007, Environ. Conserv., 39, 62, 10.1017/S037689291100035X Hamilton, 2018, Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012, Nat. Clim. Change, 8, 240, 10.1038/s41558-018-0090-4 Hansen, 2013, High-resolution global maps of 21st century forest cover change, USGS, 342, 850 Harris, 2018 1997 2003 2006 2014 Kalacska, 2017, Land cover, land use, and climate change impacts on endemic cichlid habitats in Northern Tanzania, Remote Sens., 9, 1, 10.3390/rs9060623 Law, 2018, Land use strategies to mitigate climate in carbon dense temperate forests, PNAS, 115, 3663, 10.1073/pnas.1720064115 Lawrence, 2015, Effects of tropical deforestation on climate and agriculture, Nat. Clim. Change, 5, 27, 10.1038/nclimate2430 MacDicken, 2015, Global forest resources assessment 2015: what, why and how?, For. Ecol. Manag., 352, 3, 10.1016/j.foreco.2015.02.006 Mauya, 2019, Carbon stocks for different land cover types in Mainland Tanzania, Carbon Balance Manag., 14, 4, 10.1186/s13021-019-0120-1 2005 MNRT (Ministry of Natural Resources and Tourism)., 2015. National forest resources monitoring and assessment of Tanzania. Dar es Salaam, Tanzania. Moomaw, 2020, Focus on the role of forests and soils in meeting climate change mitigation goals, Environ. Res. Lett., 15 045009 Msofe, 2019, Land use change trends and their driving forces in the Kilombero Valley floodplain, Southeastern Tanzania, Sustainability, 11, 1, 10.3390/su11020505 Mtongori, 2015, Impacts of climate and farming management on maize yield in Southern Tanzania, Afr. Crop Sci. J., 23, 399, 10.4314/acsj.v23i4.9 Mtui, 2017, Assessing multi-decadal land-cover – land-use change in two wildlife protected areas in Tanzania using Landsat imagery, PLoS ONE, 12, 1, 10.1371/journal.pone.0185468 Mukhopadhyay, 2018, Dynamics of the Sundarbans mangroves in Bangladesh under climate change, Ecosyst. Serv. Well-Beings Deltas, 1, 489, 10.1007/978-3-319-71093-8_26 NBS (National Bureau of Statistics)., 2019. Tanzania in figures 2018. Dodoma. Njana, 2018, Carbon stocks and productivity of mangrove forests in Tanzania, South. A J. For. Sci., 80, 217 Nunes, 2019, Forest management and climate change mitigation: a review on carbon cycle flow models for the sustainability of resources, Sustainability, 11, 5276, 10.3390/su11195276 Ntongani, 2010, Land use changes and conservation threats in the eastern Selous-Niassa wildlife corridor, Nachingwea, Tanzania, Afr. J. Ecol., 48, 880, 10.1111/j.1365-2028.2009.01148.x Nzunda, 2019, Deforestation and loss of bushland and grassland primarily due to expansion of cultivation in mainland Tanzania (1995–2010), J. Sustain. For., 38, 509, 10.1080/10549811.2019.1598437 Nzunda, 2013, Influence of socio-economic factors on land use and vegetation cover changes in and around Kagoma forest reserve in Tanzania, Ethiopian J. Environ. Stud. Manag., 6, 480 Oliveira, 2018, Land-use change impacts on the hydrology of the upper Grande river basin, Brazil, Cerne, 24, 334, 10.1590/01047760201824042573 Olofsson, 2014, Good practices for estimating area and assessing accuracy of land change, Remote Sens. Environ., 148, 42, 10.1016/j.rse.2014.02.015 Olofsson, 2013, Remote sensing of environment making better use of accuracy data in land change studies : estimating accuracy and area and quantifying uncertainty using stratified estimation, Remote Sens. Environ., 129, 122, 10.1016/j.rse.2012.10.031 Olofsson, 2020, Mitigating the effects of omission errors on area and area change estimates, Remote Sens. Environ., 236, 10.1016/j.rse.2019.111492 Radoux, 2017, Good practices for object-based accuracy assessment, Remote Sens., 9, 646, 10.3390/rs9070646 RCMRD (Regional Centre for Mapping of Resources for Development)., 2013. Data dissemination.http://www.rcmrd.org/index.php?option=com_content&view=article&id=68 &Itemid=64 [accessed 19 August 2016]. RM (Republic of Mozambique)., 2018. Mozambique's forest reference emission level for reducing emissions from deforestation in natural forests. 56p. RZ (Republic of Zambia)., 2016. Zambia's forest reference emissions level submission to the UNFCCC. 41p. Schäfer, 2018, Classifying land cover from satellite images using time series analytics, 10 Shaibur, 2019, Local adaptation strategies with waterlogging condition in Beel Kapalia region, Jashore, Bangladesh, Environ. Biol. Res., 1, 22 Sharma, 2021, Assessment of carbon sequestration potential of tree species in Amity University campus Noida, Environ. Sci. Proc., 3 Sloan, 2015, Forest ecology and management forest resources assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries q, For. Ecol. Manag., 352, 134, 10.1016/j.foreco.2015.06.013 Soares-Filho, 2010, Role of Brazilian Amazon protected areas in climate change mitigation, PNAS, 107, 10821, 10.1073/pnas.0913048107 Tzamtzis, 2020, Land use, land-use change and their effect on greenhouse gas emissions and removals from Greek forests, Int. J. Glob. Warm., 22, 111, 10.1504/IJGW.2020.110215 Tian, 2016, Random forest classification of wetland landcovers from multi-sensor data in the arid region of Xinjiang, China, Remote Sens., 8, 1, 10.3390/rs8110954 Tomppo, 2014, A sampling design for a large area forest inventory : case Tanzania, Can. J. For. Res., 44, 931, 10.1139/cjfr-2013-0490 URT (United Republic of Tanzania)., 2016. National Definition of Forest for REDD+ and CDM in Tanzania. Dar es Salaam, United Republic of Tanzania. URT (United Republic of Tanzania)., 1998. National Forest Policy of Tanzania. Dar es Salaam, United Republic of Tanzania. Wang, 2003, Remote Sensing of Mangrove Change along the Tanzania Coast, Marine Geodasy, 26, 35, 10.1080/01490410306708 Wu, 2019, Multi-label classification based on Random Forest algorithm for non-intrusive load monitoring system, Processes, 337