Complex Policy Mixes are Needed to Cope with Agricultural Water Demands Under Climate Change

Water Resources Management, Journal Year: 2023, Volume and Issue: 37(6-7), P. 2805 - 2834

Published: March 4, 2023

Abstract The divergence between agricultural water use and the annual supply of resources (water gap) has been increasing for decades. forecast is that this gap will continue to widen, compromising security a large share global population. On one hand, increase in demand attributed an ever-growing population that, addition, adopting high-water consumption per capita lifestyle (e.g., meat-rich diet, increased biofuels irrigated agriculture). other climate change aridification spatio-temporal heterogeneity precipitation worldwide. particularly acute drylands, where development food based on massive exploitation resources, groundwater. Here we analyze mechanisms underlying gap, which mainly driven by agriculture, suggest suitable solutions can help close it. Using causal diagrams, show how generates different demands create prevailing supply-side cannot close. Indeed, it widening over years because grown exponentially. This behaviour explained series necessary understand realize complexity scarcity problems. For solving propose exemplify eight lines action be combined tailored each territory. Our analyses corroborate urgent need plan integral management avoid widespread scenarios under future climatic conditions.

Language: Английский

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Influences of Climate Change and Human Activities on NDVI Changes in China

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(21), P. 4326 - 4326

Published: Oct. 27, 2021

The spatiotemporal evolution of vegetation and its influencing factors can be used to explore the relationships among vegetation, climate change, human activities, which are great importance for guiding scientific management regional ecological environments. In recent years, remote sensing technology has been widely in dynamic monitoring vegetation. this study, normalized difference index (NDVI) standardized precipitation–evapotranspiration (SPEI) from 1998 2017 were study variation NDVI China. influences change activities on investigated based Mann–Kendall test, correlation analysis, other methods. results show that growth rate China was 0.003 year−1. Regions with improved degraded accounted 71.02% 22.97% national territorial area, respectively. SPEI decreased 60.08% area exhibited an insignificant drought trend overall. Human affected cover directions both destruction restoration. As elevation slope increased, between gradually whereas impact decreased. Further studies should focus changes Continental Basin, Southwest Rivers, Liaohe River Basin.

Language: Английский

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Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(8), P. 1830 - 1830

Published: April 11, 2022

Accurate and early crop-type maps are essential for agricultural policy development food production assessment at regional national levels. This study aims to produce a map with acceptable accuracy spatial resolution in northern Mongolia by optimizing the combination of Sentinel-1 (S1) Sentinel-2 (S2) images Google Earth Engine (GEE) environment. A total three satellite data scenarios set, including S1 alone, S2 S2. In order avoid impact gaps caused clouds on crop classification, this reconstructed time series 10-day interval using median composite method, linear moving interpolation, Savitzky–Golay (SG) filter. Our results indicated that classification increased increase length all scenarios. alone has higher than The highest was generated from 150 days year (DOY) (11 May) 260 DOY (18 September). OA kappa were 0.93 0.78, respectively, F1-score spring wheat rapeseed 0.96 0.80, respectively. rapidly 210 (end July) (August mid-September), then it remained stable after DOY. Based our analysis, we filled gap 10 m Mongolia, revealing best period which can benefit achievement sustainable goals 2 (SDGs2).

Language: Английский

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Spatiotemporal variations and driving factors for potential wind erosion on the Mongolian Plateau

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 862, P. 160829 - 160829

Published: Dec. 9, 2022

Language: Английский

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Spatiotemporal evolution and driving mechanisms of desertification on the Mongolian Plateau

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 941, P. 173566 - 173566

Published: May 31, 2024

Language: Английский

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Spatial–Temporal and Driving Factors of Land Use/Cover Change in Mongolia from 1990 to 2021

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(7), P. 1813 - 1813

Published: March 29, 2023

During the past several decades, desertification and land degradation have become more serious in Mongolia. The drivers of use/cover change (LUCC), such as population dynamics climate change, are increasingly important to local sustainability studies. They can only be properly analyzed at small scales that capture socio-economic conditions. Several studies been carried out examine pattern LUCC Mongolia, but they focused on changes single types a scale. Although some them were national scale, data interval is than 10 years. A small-scale year-by-year dataset Mongolia thus needed for comprehensive analyses. We obtained from 1990 2021 using Landsat TM/OLI data. First, we established random forest (RF) model. Then, order improve classification accuracy misclassification cropland, grassland, built barren areas, regression trees model (CART) was introduced post-processing. results show 17.6% surface has changed least once among six categories 2021. While area significantly increased, grassland areas exhibited decreasing trend 32 other do not promising changes. To determine driving factors LUCC, applied an RF feature importance ranking environmental factors, physical socioeconomic accessibility factors. mean annual precipitation (MAP), evapotranspiration (ET), air temperature (MAAT), DEM, GDP, distance railway main determined distribution types. Interestingly, unlike global anti-V-shaped pattern, found N-shaped These characteristics primarily due agricultural policies rapid urbanization. present information great significance policy-makers formulate scientific sustainable development strategy alleviate

Language: Английский

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The cross-boundary of land degradation in Mongolia and China and achieving its neutrality - challenges and opportunities

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110311 - 110311

Published: April 30, 2023

Land degradation, which directly affects global and regional economic social development food security, has become challenging. Looking North in East Asia, Mongolia China (Inner Mongolia) are facing severe land degradation from continuous soil erosion by human-induced unsustainable agricultural practices land-use changes, have been execrated climate change. The United Nations Convention to Combat Desertification (UNCCD) promoted the “Land Degradation Neutrality (LDN)”, ultimate target is achieve a degradation-neutral world that fulfils Sustainable Development Goals (SDGs) 15 (Life on Land) 2030 s beyond. Inner N important producing dairy major grains products. This review aims (1) investigate past current facts challenges, (2) identify lessons LDN practice, (3) eventually develop an framework fits targets align with SDG 15. We found recent developmental pressure, over-grazing, use mining, natural factors (i.e. drought) still drivers of stress future security sustainable developments for both countries under transboundary context across jurisdictions laws policies) countries. establish recommend collaborate further neighbourhood C Asian Nations) shared similar climatic conditions, will be key success E Asia towards

Language: Английский

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Climate change will lead to range shifts and genetic diversity losses of dung beetles in the Gobi Desert and Mongolian Steppe

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 8, 2024

Abstract Desertification is known to be a major threat biodiversity, yet our understanding of the consequent decline in biodiversity remains insufficient. Here, we predicted climate change-induced range shifts and genetic diversity losses three model dung beetles: Colobopterus erraticus , Cheironitis eumenes Gymnopleurus mopsus distributed across Gobi Desert Mongolian Steppe, areas for desertification. Phylogeographic analyses mitochondrial COI sequences species distribution modeling, based on extensive field investigations spanning 14 years, were performed. Species confined single biome contract shift their response change, whereas widespread was expand even if affected by shifts. We indicated that all are expected experience significant haplotype losses, presence high singleton frequencies low divergence geographic configurations lineages mitigate loss diversity. Notably, desert with diversity, appears most vulnerable change due degradation Desert. This first study predict insects desertification Our findings highlight beetles Steppe might rates occupancy turnover loss, which could reshuffle composition.

Language: Английский

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Spatiotemporal changes and management measure to enhance ecosystem services in the Mongolian Plateau

Environmental Development, Journal Year: 2024, Volume and Issue: 52, P. 101103 - 101103

Published: Nov. 13, 2024

Language: Английский

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Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions

Sustainability, Journal Year: 2022, Volume and Issue: 14(17), P. 10906 - 10906

Published: Aug. 31, 2022

Taken as a classical issue in applied economics, the notion of ‘convergence’ is based on concept path dependence, i.e., from previous trajectory undertaken by system during its recent history. Going beyond social science, perspective has been more recently adopted environmental studies. Spatial convergence non-linear processes, such desertification risk, meaningful since represents (possibly unsustainable) development socio-ecological systems towards land degradation regional or local scale. In this study, we test—in line with approach—long-term equilibrium conditions evolution processes Italy, European country significant socioeconomic and disparities. Assuming path-dependent risk provided diachronic analysis Environmental Sensitive Area Index (ESAI), estimated at disaggregated spatial resolution three times (1960s, 1990s, 2010s) history using spatially explicit approach geographically weighted regressions (GWRs). The results show dependence first time interval (1960–1990). A less evidence for path-dependence was observed second period (1990–2010); both cases, models’ goodness-of-fit (global adjusted R2) satisfactory. strong polarization along latitudinal gradient characterized observation period: Southern Italian experienced worse (e.g., climate aridity, urbanization) level vulnerability Northern Italy remained quite stable, alimenting traditional divergence characteristic country. empirical delineated complex picture period. Convergence (leading to stability, even improvement, risk) some areas evident because urban sprawl crop intensification) were observed, leading an undesired homogenization toward higher levels. Finally, work suggests importance approaches providing relevant information design effective policy strategies. case regression models oriented perspective, may be uncover genesis hotspots

Language: Английский

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