Effects of anthropogenic activities on land-use dynamics in an upland tropical evergreen forest in Ghana

References

• Abu-Juam, M., Obiaw, E., Kwakye, Y., Ninnoni, R., Owusu, E. H., & Asamoah, A. (2003). Biodiversity management plan for the Atewa Range Forest Reserves. Forestry Commission.
   Google Scholar
• Aldwaik, S. Z., & Pontius, R. G., Jr. (2012). Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition. Landscape and Urban Planning, 106(1), 103–114. https://doi.org/10.1016/j.landurbplan.2012.02.010
   Web of Science ®Google Scholar
• Allotey, J. A. (2007). Status of biodiversity and impact assessment in Ghana. EPA Ghana.
   Google Scholar
• Alo, C. A., & Pontius, R. G., Jr. (2008). Identifying systematic land-cover transitions using remote sensing and GIS: The fate of forests inside and outside protected areas of Southwestern Ghana. Environment and Planning. B, Planning & Design, 35(2), 280–295. https://doi.org/10.1068/b32091
   Web of Science ®Google Scholar
• Antwi-Agyei, P., Stringer, L. C., & Dougill, A. J. (2014). Livelihood adaptations to climate variability: Insights from farming households in Ghana. Regional Environmental Change, 14(4), 1615–1626. https://doi.org/10.1007/s10113-014-0597-9
   Web of Science ®Google Scholar
• Asravor, R. K. (2018). Livelihood diversification strategies to climate change among smallholder farmers in Northern Ghana. Journal of International Development, 30(8), 1318–1338. https://doi.org/10.1002/jid.3330
   Web of Science ®Google Scholar
• Ayivor, J. S., Gordon, C., Adomako, J., & Ntiamoa-Baidu, Y. (2011). Challenges of managing forest reserves: Case study of Atewa Range Forest Reserve, Ghana. Nature & Faune, 25(2). http://www.fao.org/3/am723e/am723e00.pdf
   Google Scholar
• Bakarr, M., Bailey, B., Byler, D., Ham, R., Olivieri, S., & Omland, M. (2001). From the forest to the sea: biodiversity connections from Guinea to Togo. Conservation International, Washington, DC, 78.
   Google Scholar
• Bakarr, M. I., Oates, J. F., Fahr, J., Parren, M. P. E., Rödel, M. O., & Demey, R. (2004). Guinean forests of West Africa. In Hotspots revisited: Earth’s biologically richest and most endangered terrestrial ecoregions (pp. 123–130). CEMEX & Conservation International.
   Google Scholar
• Basommi, P. L., Guan, Q., & Cheng, D. (2015). Exploring Land use and Land cover change in the mining areas of Wa East District, Ghana using Satellite Imagery.Open Geosciences, 1(open-issue).
   Google Scholar
• Bhandari, A. K., Kumar, A., & Singh, G. K. (2012). Feature extraction using Normalized Difference Vegetation Index (NDVI): A case study of Jabalpur city. Procedia Technology, 6, 612–621. https://doi.org/10.1016/j.protcy.2012.10.074
   Google Scholar
• Brandon, K. (2014). Ecosystem services from tropical forests: Review of current science. Center for Global Development Working Paper, (380).
   Google Scholar
• Ekumah, B., Armah, F. A., Afrifa, E. K., et al. (2020). Assessing land use and land cover change in coastal urban wetlands of international importance in Ghana using intensity analysis. Wetlands Ecology and Management, 28, 1–14.  https://doi.org/10.1007/s11273-020-09712-5
   Web of Science ®Google Scholar
• El-Shikha, D. M., Waller, P., Hunsaker, D., Clarke, T., & Barnes, E. (2007). Ground-based remote sensing for assessing water and nitrogen status of broccoli. Agricultural Water Management, 92(3), 183–193. https://doi.org/10.1016/j.agwat.2007.05.020
   Web of Science ®Google Scholar
• Folt, C. L., Chen, C. Y., Moore, M. V., & Burnaford, J. (1999). Synergism and antagonism among multiple stressors. Limnology and Oceanography, 44(3part2), 864–877. https://doi.org/10.4319/lo.1999.44.3_part_2.0864
   Web of Science ®Google Scholar
• Gao, B. C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3), 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
   Web of Science ®Google Scholar
• Guida-Johnson, B., & Zuleta, G. A. (2013). Land-use land-cover change and ecosystem loss in the Espinal ecoregion, Argentina. Agriculture, Ecosystems & Environment, 181, 31–40. https://doi.org/10.1016/j.agee.2013.09.002
   Web of Science ®Google Scholar
• Hall, J. B., & Swaine, M. D. (2013). Distribution and ecology of vascular plants in a tropical rain forest: Forest vegetation in Ghana (Vol. 1). Springer Science & Business Media.
   Google Scholar
• Harper, M. J., McCarthy, M. A., & van der Ree, R. (2005). The use of nest boxes in urban natural vegetation remnants by vertebrate fauna. Wildlife Research, 32(6), 509–516.
   Web of Science ®Google Scholar
• Hawthorne, W., & Abu-Juam, M. (1995). Forest protection in Ghana: With particular reference to vegetation and plant species (Vol. 15). IUCN.
   Google Scholar
• Hens, L., & Boon, E. K. (1999). Institutional, legal, and economic instruments in Ghana’s environmental policy. Environmental Management, 24(3), 337–351. https://doi.org/10.1007/s002679900237
   PubMed Web of Science ®Google Scholar
• Herrmann, S. M., Anyamba, A., & Tucker, C. J. (2005). Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Global Environmental Change, 15(4), 394–404. https://doi.org/10.1016/j.gloenvcha.2005.08.004
   Web of Science ®Google Scholar
• Heumann, B. W., Seaquist, J. W., Eklundh, L., & Jönsson, P. (2007). AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982–2005. Remote Sensing of Environment, 108(4), 385–392. https://doi.org/10.1016/j.rse.2006.11.025
   Web of Science ®Google Scholar
• Hirons, M. (2015). Trees for development? Articulating the ambiguities of power, authority and legitimacy in governing Ghana’s mineral rich forests. The Extractive Industries and Society, 2(3), 491–499. https://doi.org/10.1016/j.exis.2015.05.001
   Google Scholar
• Huang, J., Gilmore, R. J., LI, Q., Zhang, Y., Saner, P., Loh, Y. Y., & Hector, A. (2012). Use of intensity analysis to link patterns with processes of land change from 1986 to 2007 in a coastal watershed of southeast China. Applied Geography, 34, 371–384. https://doi.org/10.1016/j.apgeog.2012.01.001
   Web of Science ®Google Scholar
• Ichii, K., Kawabata, A., & Yamaguchi, Y. (2002). Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982–1990. International Journal of Remote Sensing, 23(18), 3873–3878. https://doi.org/10.1080/01431160110119416
   Web of Science ®Google Scholar
• Janssen, T. A., Ametsitsi, G. K., Collins, M., Adu-Bredu, S., Oliveras, I., Mitchard, E. T., & Veenendaal, E. M. (2018). Extending the baseline of tropical dry forest loss in Ghana (1984–2015) reveals drivers of major deforestation inside a protected area. Biological Conservation, 218, 163–172. https://doi.org/10.1016/j.biocon.2017.12.004
   Web of Science ®Google Scholar
• Kim, H., Kwak, H. S., & Yoo, J. S. (2008). Improved clustering algorithm for change detection in remote sensing. International Journal of Digital Content Technology and Its Applications, 2(2), 55–59. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.151.5757&rep=rep1&type=pdf
   Google Scholar
• Kusimi, J. M. (2015). Characterizing land disturbance in Atewa Range Forest Reserve and buffer zone. Land Use Policy, 49, 471–482. https://doi.org/10.1016/j.landusepol.2015.08.020
   Web of Science ®Google Scholar
• Kyereh, B. N., Dei-Amoah, C., & FOLI, G. (2006). Tano-Offin globally significant biodiversity area. Management Plan (2007–2011). Forestry Commission.
   Google Scholar
• Larsen, T. B. (2006). The Ghana butterfly fauna and its contribution to the objectives of the protected areas system. Forestry Commission (Wildlife Division), Wildlife Division Support Project Report, 63, 122.
   Google Scholar
• Lu, D., Moran, E., & Mausel, P. (2002). Linking Amazonian secondary succession forest growth to soil properties. Land Degradation & Development, 13(4), 331–343. https://doi.org/10.1002/ldr.516
   Web of Science ®Google Scholar
• Mascaro, J., Detto, M., Asner, G. P., & Muller-Landau, H. C. (2011). Evaluating uncertainty in mapping forest carbon with airborne LiDAR. Remote Sensing of Environment, 115(12), 3770–3774. https://doi.org/10.1016/j.rse.2011.07.019
   Web of Science ®Google Scholar
• Mayaux, P., Bartholomé, E., Fritz, S., & Belward, A. (2004). A new land‐cover map of Africa for the year 2000. Journal of Biogeography, 31(6), 861–877.
   Web of Science ®Google Scholar
• McCullough, J., Alonso, L. E., Naskrecki, P., Wright, H. E., & Osei-Owusu, Y. (2007). A rapid biological assessment of the Atewa Range Forest Reserve, eastern Ghana. RAP Bulletin of Biological Assessment, 47, 1–191.
   Google Scholar
• Morris, R. J. (2010). Anthropogenic impacts on tropical forest biodiversity: A network structure and ecosystem functioning perspective. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1558), 3709–3718. https://doi.org/10.1098/rstb.2010.0273
   PubMed Web of Science ®Google Scholar
• Nakamura, A., Kitching, R. L., Cao, M., Creedy, T. J., Fayle, T. M., Freiberg, M., Hewitt, C. N., Itioka, T., Koh, L. P., Ma, K., Malhi, Y., Mitchell, A., Novotny, V., Ozanne, C. M. P., Song, L., Wang, H., & Ashton, L. A. (2017). Forests and their canopies: Achievements and horizons in canopy science. Trends in Ecology & Evolution, 32(6), 438–451. https://doi.org/10.1016/j.tree.2017.02.020
   PubMed Web of Science ®Google Scholar
• Ntiamoa-Baidu, Y., Owusu, E. H., Daramani, D. T., & Nuoh, A. A. (2001). Important Bird Areas in Africa and associated islands – Ghana.
   Google Scholar
• Olander, L. P., Galik, C. S., & Kissinger, G. A. (2012). Operationalizing REDD+: Scope of reduced emissions from deforestation and forest degradation. Current Opinion in Environmental Sustainability, 4(6), 661–669. https://doi.org/10.1016/j.cosust.2012.07.003
   Web of Science ®Google Scholar
• Polyakov, M., & Zhang, D. (2008). Population growth and land use dynamics along urban-rural gradient. Journal of Agricultural & Applied Economics, 40(2), 649–666. https://doi.org/10.1017/S1074070800023919
   Google Scholar
• Pontius, R. G., Jr, Gao, G. Y., Giner, N., Kohyama, T., Osaki, M., & Hirose, K. (2013). Design and interpretation of intensity analysis illustrated by land change in Central Kalimantan, Indonesia. Land, 2(3), 351–369. https://doi.org/10.3390/land2030351
   Google Scholar
• Pontius, R. J., Shasas, E., & McEachern, M. (2004). Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems and Environments, 101(2–3), 251–268. https://doi.org/10.1016/j.agee.2003.09.008
   Web of Science ®Google Scholar
• Prosper, L. B., & Guan, Q. (2015, June). Analysis of land use and land cover change in Nadowli District, Ghana. In 2015 23rd International Conference on Geoinformatics (pp. 1–6). IEEE.
   Google Scholar
• Quan, B., Pontius, R. G., Jr, & song, H. (2019). Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience & Remote Sensing, 57(1), 21–36. https://doi.org/10.1080/15481603.2019.1658420
   Web of Science ®Google Scholar
• Raphael John, L., Hambati, H., & Ato Armah, F. (2014). An Intensity Analysis of land-use and land-cover change in Karatu District, Tanzania: Community perceptions and coping strategies. African Geographical Review, 33(2), 150–173. https://doi.org/10.1080/19376812.2013.838660
   Google Scholar
• Rodrigues, A. S., Akçakaya, H. R., Andelman, S. J., Bakarr, M. I., Boitani, L., Brooks, T. M., Fishpool, G. A., Da fonseca, G. A. B., Gaston, K. J., Hoffmann, M., Marquet, P. A., Pilgrim, J. D., Pressey, R. L., Schipper, J., Sechrest, W., Stuart, S. N., Underhill, L. G., Waller, R. W., Watts, M. E. J., Yan, X., & Chanson, J. S. (2004). Global gap analysis: Priority regions for expanding the global protected-area network. BioScience, 54(1), 1092–1100. https://doi.org/10.1641/0006-3568(2004)054[1092:GGAPRF]2.0.CO;2
   Web of Science ®Google Scholar
• Sala, O. E., Chapin, F. S., Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., & Mooney, H. A. (2000). Global biodiversity scenarios for the year 2100. Science, 287(5459), 1770–1774. https://doi.org/10.1126/science.287.5459.1770
   PubMed Web of Science ®Google Scholar
• Thomas, S., & Baltzer, J. (2002). Tropical forests. Encyclopedia of Life Sciences.
   Google Scholar
• Townsend, A. R., Cleveland, C. C., Houlton, B. Z., Alden, C. B., & White, J. W. (2011). Multi‐element regulation of the tropical forest carbon cycle. Frontiers in Ecology and the Environment, 9(1), 9–17. https://doi.org/10.1890/100047
   Web of Science ®Google Scholar
• Van Gemerden, B. S., Olff, H., & Parren, M. P. (2003). The pristine rain forest? Remnants of historical human impacts on current tree species composition and diversity.x. Journal of Biogeography, 30(9), 1381–1390. https://doi.org/10.1046/j.1365-2699.2003.00937.x
   Web of Science ®Google Scholar
• Wood, S. K., & Bhatnagar, S. (2014). Resilience to the effects of social stress: Evidence from clinical and preclinical studies on the role of coping strategies. Neurobiology of Stress, 1, 164–173. https://doi.org/10.1016/j.ynstr.2014.11.002
   Web of Science ®Google Scholar
• World Rainforest Movement. (2002). Ghana: Protected areas under the expense of people do not guarantee conservation. http://www.wrm.org.uy
   Google Scholar
• Yang, Y., Zhu, J., Zhao, C., Liu, S., & Tong, T. (2010). The spatial continuity study of NDVI based on Kriging and BPNN algorithm. Journal of Mathematical and Computer Modelling, 54(3-4), 1138–1144. https://doi.org/10.1016/j.mcm.2010.11.046.
   Google Scholar
• Zak, M. R., Cabido, M., Cáceres, D., & Díaz, S. (2008). What drives accelerated land cover change in central Argentina? Synergistic consequences of climatic, socioeconomic, and technological factors. Environmental Management, 42(2), 181–189. https://doi.org/10.1007/s00267-008-9101-y
   PubMed Web of Science ®Google Scholar