Interactions of land-use cover and climate change at global level: How to mitigate the environmental risks and warming effects

Barati, Amir Hossein; Zhoolideh, Milad; Azadi, Hossein; Lee, Ju‐Hyoung; Scheffran, Jürgen

doi:10.1016/j.ecolind.2022.109829

Cited by 52 publications

(22 citation statements)

References 49 publications

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“…This, in turn, has a domino effect on the entire ecosystem, as the loss of one species can affect the survival of others. Land cover degradation contributes to climate change by releasing carbon dioxide into the atmosphere (Barati et al, 2023). Trees and other plants absorb carbon dioxide as part of photosynthesis, so when they are removed, this carbon is released back into the atmosphere.…”

Section: Effect Of Land Cover Degradationmentioning

confidence: 99%

Integrated use of the CA-Markov model and the Trends.Earth module to enhance the assessment of land cover degradation: Application in the Upper Zambezi Basin, southern Africa

Zimba,

Banda,

Mbewe

et al. 2024

Preprint

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This study aims to demonstrate the potential of assessing future land cover degradation status by combining the forecasting capabilities of the Cellular-Automata-Markov chain (CA-Markov) models in Idris Selva with the land cover degradation (LCD) model in the Trends.Earth module. The study focuses on the upper Zambezi Basin (UZB) in southern Africa, which is one of the regions with high rates of land degradation globally. Landsat satellite imagery is utilised to generate historical (1993–2023) land cover and land use (LCLU) maps for the UZB, while the European Space Agency Climate Change Initiative (ESA CCI) global LCLU maps are obtained from the Trends.Earth module. The CA-Markov chain model is employed to predict future LCLU changes between 2023 and 2043. The LCD model in the Trends.Earth module in QGIS 3.34 is then used to assess the historical and forecasted land cover degradation status. The findings reveal that land cover degradation maps produced from local LCLU classifications provide more detailed information compared to those produced from the ESA CCI global LCLU product. Between 2023 and 2043, the UZB is predicted to experience a net reduction of approximately 3.2 million hectares of forest cover, with an average annual reduction rate of -0.13%. In terms of land cover degradation, the UZB is forecasted to remain generally stable, with 87% and 96% of the total land cover area expected to be stable during the periods 2023–2033 and 2033–2043, respectively, relative to the base years 2023 and 2033. Reduction in forest cover due to the expansion of grassland, human settlements, and cropland is projected to drive land cover degradation, while improvements in forest cover are anticipated through the conversion of grassland and cropland into forested areas. By leveraging the predictive power of the CA-Markov model and the capabilities of the LCD model, as evidenced in this study, valuable information can be effectively obtained for monitoring land cover degradation. This information can then be used to implement targeted interventions that align with the objective of realising the United Nations' land degradation neutral world target by 2030.

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Section: Effect Of Land Cover Degradationmentioning

confidence: 99%

Integrated use of the CA-Markov model and the Trends.Earth module to enhance the assessment of land cover degradation: Application in the Upper Zambezi Basin, southern Africa

Zimba,

Banda,

Mbewe

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Forests have a crucial role in stabilizing global temperatures and in controlling the carbon and nitrogen cycles (Tang et al, 2023). According to Barati et al (2023), environmental changes in forests have an impact on both local and global climate. Due to the changing patterns of precipitation and temperature, etc., global warming has significant effects on the expansion and productivity of cross-border forests.…”

Section: Climate Change and Forestrymentioning

confidence: 99%

A review of the global climate change impacts, adaptation strategies, and mitigation options in the socio-economic and environmental sectors

Raihan

2023

JESCAE

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Climate change causes long-term weather changes from the tropics to the polls. It is a global threat that strains several sectors. The present study conducts a review analysis that theoretically explores how climatic variability is degrading global sector sustainability. Due to irreversible weather variations, the agricultural sector is particularly vulnerable. In turn, it is disrupting worldwide consumption patterns, especially in countries where agriculture is central to their economy and productivity. Due to shifting optimum temperature ranges, climate change is also increasing biodiversity loss through modifying ecosystem architecture. Climate change increases the risk of food, water, and vector-borne diseases. Antimicrobial resistance, which is developing due to resistant pathogenic infections, is also accelerated by climate change. Climate change also hurts the forestry sector and tourism business. This review examines global socio-economic and environmental climate change mitigation and adaptation strategies and their economic consequences. According to the findings, knotted answerability of resources and laws created in the past to generate progressive climate policy need government involvement for long-term development. Thus, addressing climate change's dire consequences demands global cooperation to maintain world survival.

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“…The direct impacts of climate change affect infection, reproduction, spread, and survival at critical stages in the pathogen's life cycle from season to season (Reddy 2013). By predicting the frequency and intensity of rainfall, information on climatic conditions can be used to estimate climate change, which can be (Barati et al, 2023). Similarly, the Soppeng Regency, a silkworm breeding center, has also changed the land cover.…”

Section: Climate Anomalies Are Part Of Climate Changementioning

confidence: 99%

Observing the prevalence of pebrine disease in silkworms and climate change: a case study in South Sulawesi, Indonesia

Nuraeni,

Soma,

Sadapotto

et al. 2023

Preprint

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A tropical country like Indonesia is highly susceptible to fluctuations in daily, monthly, and decadal climate factors. The gradual or sudden accumulation of climate change can affect all living creatures, including silkworms and their pathogens. This research investigates the relationship between the prevalence of pebrine disease and climate factors, climate anomalies, and climate change. Pebrine disease data is obtained from the seed certification documents of the seed producer and verified by the seed certification agency. Climate components, including temperature, humidity, and rainfall, were acquired from satellite data records and verified at local climatology stations. The research results indicate that fluctuations in the prevalence of pebrine disease correlate with climate factors such as rainfall, temperature, and humidity. The epidemic may occur if, in the initial conditions, extended and immediate droughts alternate with high intensity and frequency of rains or if the events of El Nino precede the phenomenon of La Nina. Implications for insect conservation The more worrying impact of climate change on the high and long-lasting prevalence of pebrine disease is the extinction of silkworm strains that are not resilient to climate change. Monitoring climate factors is crucial for predicting the likelihood of pebrine disease outbreaks and implementing preventive measures.

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Interactions of land-use cover and climate change at global level: How to mitigate the environmental risks and warming effects

Cited by 52 publications

References 49 publications

Integrated use of the CA-Markov model and the Trends.Earth module to enhance the assessment of land cover degradation: Application in the Upper Zambezi Basin, southern Africa

Integrated use of the CA-Markov model and the Trends.Earth module to enhance the assessment of land cover degradation: Application in the Upper Zambezi Basin, southern Africa

A review of the global climate change impacts, adaptation strategies, and mitigation options in the socio-economic and environmental sectors

Observing the prevalence of pebrine disease in silkworms and climate change: a case study in South Sulawesi, Indonesia

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