Integrating stakeholders’ perspectives and spatial modelling to develop scenarios of future land use and land cover change in northern Tanzania DOI Creative Commons
Rebecca Kariuki, Linus K. Munishi, Colin J. Courtney Mustaphi

et al.

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(2), P. e0245516 - e0245516

Published: Feb. 12, 2021

Rapid rates of land use and cover change (LULCC) in eastern Africa limited instances genuinely equal partnerships involving scientists, communities decision makers challenge the development robust pathways toward future environmental socioeconomic sustainability. We a participatory modelling tool, Kesho, to assess biophysical, socioeconomic, cultural governance factors that influenced past (1959-1999) present (2000-2018) LULCC northern Tanzania simulate four scenarios year 2030. Simulations used spatial integrate stakeholders' perceptions with social data on recent trends LULCC. From perspectives, between 1959 2018, was by climate variability, availability natural resources, agriculture expansion, urbanization, tourism growth legislation governing access resource management. Among other socio-environmental-political drivers, stakeholders envisioned from 2018 2030 will largely be health, economic capital, political implementing plans policies. The projected suggest agricultural have expanded 8-20% under different herbaceous vegetation forest reduced 2.5-5% 10-19% respectively. Stakeholder discussions further identified desirable futures as those improved infrastructure, restored degraded landscapes, effective wildlife conservation, better farming techniques. undesirable were characterized degradation, poverty, loss. Insights our work identify implications conservation meeting Sustainable Development Goals (SDGs) targets Kesho approach capitalizes knowledge exchanges among diverse stakeholders, process promotes learning, provides sense ownership outputs generated, democratizes scientific understanding, improves quality relevance outputs.

Language: Английский

Deep-learning based high-resolution mapping shows woody vegetation densification in greater Maasai Mara ecosystem DOI
Wang Li, Robert Buitenwerf, Michael Munk

et al.

Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 247, P. 111953 - 111953

Published: June 23, 2020

Language: Английский

Citations

47
Othering Pastoralists, State Violence, and the Remaking of Boundaries in Tanzania’s Militarised Wildlife Conservation Sector DOI Creative Commons
Teklehaymanot G. Weldemichel

Antipode, Journal Year: 2020, Volume and Issue: 52(5), P. 1496 - 1518

Published: May 19, 2020

Abstract This paper examines the ways in which Tanzanian conservation authorities utilise biodiversity “extinction narratives” order to legitimise use of violence redrawing protected areas’ boundaries. Militarisation and have often been associated with “war on poaching”. Drawing history Tanzania, using an empirical case from Loliondo, suggests that may be legitimised when based extinction narratives a claim more exclusive spaces are urgently needed protect biodiversity. It argues emerging militarisation Tanzania can both global local neo‐Malthusian narratives, recently regained predominance. When combined “othering” groups pastoralists by portraying them as foreign “invaders”, such associations extensions state control over contested land any means available, including violence.

Language: Английский

Citations

43
Spatio-Temporal Changes in Wildlife Habitat Quality in the Greater Serengeti Ecosystem DOI Open Access

Hamza K. Kija,

Joseph O. Ogutu, Lazaro J. Mangewa

et al.

Sustainability, Journal Year: 2020, Volume and Issue: 12(6), P. 2440 - 2440

Published: March 20, 2020

Understanding habitat quality and its dynamics is imperative for maintaining healthy wildlife populations ecosystems. We mapped evaluated changes in (1975–2015) the Greater Serengeti Ecosystem of northern Tanzania using Integrated Valuation Environmental Services Tradeoffs (InVEST) model. This first assessment kind this ecosystem. characterized ecosystem a 30 kilometer buffer area. Four classes (poor, low, medium high) were identified their coverage quantified. Overall (1975–2015), declined over time but at rates that higher habitats with lower protection level or initial quality. As result, deteriorated most unprotected human-dominated area surrounding ecosystem, intermediate less heavily protected Wildlife Management Areas, Game Controlled Reserves Ngorongoro Conservation Area least National Park. The deterioration was attributed primarily to anthropogenic activities major land use policy changes. Effective implementation plans, robust far-sighted institutional arrangements, adaptive legal instruments are essential sustaining high contexts rapid human population growth.

Language: Английский

Citations

42
Megafauna extinctions have reduced biotic connectivity worldwide DOI
Emilio Berti, Jens‐Christian Svenning

Global Ecology and Biogeography, Journal Year: 2020, Volume and Issue: 29(12), P. 2131 - 2142

Published: Sept. 14, 2020

Abstract Aim Connectivity among ecosystems is necessary to sustain ecological processes that promote biodiversity, community stability and ecosystem resilience, such as organism nutrient dispersal. Along with human land use habitat fragmentation, connectivity can also be affected by faunal changes. Here, we address this issue studying how human‐driven late Quaternary extinctions extirpations of terrestrial mammals have the movement capacity assemblages, an estimate potential promoted wildlife. Location Global. Time period Late Pleistocene Anthropocene. Major taxa studied All 4,395 (4,073 extant 322 extinct) alive in Pleistocene. Methods We combined macroecological estimates home range size maps current natural geographical distributions species investigate pressure has modified assemblages will respond future extinction rewilding scenarios. Results Our results showed 74% average 83% maximum mammal been lost owing prehistorical historical extirpations. found decrease further if trajectories are not averted. However, our restored twice their values under a full scenario average, but capacity, increase conservative scenario, is, without restoring largest megafauna most likely cause major human–wildlife conflicts. Main conclusions Prehistorical losses caused severe decreases hence large reductions connectivity. Reintroductions partly restore biotic connectivity, especially when restored. levels cannot recovered fully including replacements for extinct efforts.

Language: Английский

Citations

42
Integrating stakeholders’ perspectives and spatial modelling to develop scenarios of future land use and land cover change in northern Tanzania DOI Creative Commons
Rebecca Kariuki, Linus K. Munishi, Colin J. Courtney Mustaphi

et al.

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(2), P. e0245516 - e0245516

Published: Feb. 12, 2021

Rapid rates of land use and cover change (LULCC) in eastern Africa limited instances genuinely equal partnerships involving scientists, communities decision makers challenge the development robust pathways toward future environmental socioeconomic sustainability. We a participatory modelling tool, Kesho, to assess biophysical, socioeconomic, cultural governance factors that influenced past (1959-1999) present (2000-2018) LULCC northern Tanzania simulate four scenarios year 2030. Simulations used spatial integrate stakeholders' perceptions with social data on recent trends LULCC. From perspectives, between 1959 2018, was by climate variability, availability natural resources, agriculture expansion, urbanization, tourism growth legislation governing access resource management. Among other socio-environmental-political drivers, stakeholders envisioned from 2018 2030 will largely be health, economic capital, political implementing plans policies. The projected suggest agricultural have expanded 8-20% under different herbaceous vegetation forest reduced 2.5-5% 10-19% respectively. Stakeholder discussions further identified desirable futures as those improved infrastructure, restored degraded landscapes, effective wildlife conservation, better farming techniques. undesirable were characterized degradation, poverty, loss. Insights our work identify implications conservation meeting Sustainable Development Goals (SDGs) targets Kesho approach capitalizes knowledge exchanges among diverse stakeholders, process promotes learning, provides sense ownership outputs generated, democratizes scientific understanding, improves quality relevance outputs.

Language: Английский

Citations

41