Ecological risk assessment based on land cover changes: A case of Zanzibar (Tanzania)

Hassan Omar, Pedro Cabral

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Abstract

Land use and land cover (LULC) under improper land management is a major challenge in sub-Saharan Africa and has drastically affected ecological security. Addressing environmental impacts related to this challenge requires efficient planning strategies based on the measured information of land use patterns. This study assessed the ecological risk index (ERI) of Zanzibar based on LULC. A random forest classifier was used to classify three Landsat images of Zanzibar for the years 2003, 2009, and 2018. Then, a land change model was employed to simulate the LULC changes for 2027 under a business-as-usual (BAU), conservation, and extreme scenarios. Results showed that the built-up areas and farmland of Zanzibar Island have increased constantly, while the natural grassland and forest cover have decreased. The forest, agricultural, and grassland were highly fragmented into several small patches. The ERI of Zanzibar Island increased at a constant rate and, if the current trend continues, this index will increase by up to 8.9% in 2027 under an extreme scenario. If a conservation scenario is adopted, the ERI will increase by 4.6% whereas if a BAU policy is followed, this value will increase by 6.2%. This study provides authorities with useful information to understand better the ecological processes and LULC dynamics and prevent unmanaged growth and haphazard development of informal housing and infrastructure.

Original languageEnglish
Article number3114
Pages (from-to)1-24
Number of pages24
JournalRemote Sensing
Volume12
Issue number19
DOIs
Publication statusPublished - Oct 2020

Keywords

  • Ecosystem services
  • Land change modeling
  • Landscape ecological statistics
  • Random forest classifier

UN Sustainable Development Goals (SDGs)

  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land

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