Research article · 2024 · Full text
International Journal of Geography Geology and EnvironmentGeographical analysis of vegetation patterns in response to climate change in Rajasthan, Uttar-Pradesh, Madhya-Pradesh: An overview on implications for sustainable ecosystem management
Volume 6(2) · Pages 31–37 · DOI: 10.22271/27067483.2024.v6.i2a.285 ↗
Research areasRemote Sensing in AgricultureLand Use and Ecosystem ServicesLeaf Properties and Growth Measurement
Abstract
Author-writtenIndia, a nation of subcontinental dimensions, stands as the largest peninsula in the world, surrounded by seas on three sides and boasting an extensive coastline of 6,100 kilometres. Climatically, India spans tropical, subtropical, and temperate zones. The 23.5° North Latitude nearly divides the country into two equal parts. The northern region, separated from the rest of the continent by the Himalayan range, experiences a temperate climate, whereas the extreme southern part falls within the tropical latitudes. The higher altitudes of the inner Himalayas exhibit sub-polar conditions, with extremely low winter temperatures due to altitude effects. Conversely, the maritime influence of the seas on all three sides brings the southern peninsular region under direct maritime influence, resulting in minimal diurnal temperature variation and a moderate climate. The country's interior is subject to a continental climate, characterized by significant annual temperature swings, with summer temperatures often exceeding 40 °C and winter temperatures dropping markedly. Climate change refers to alterations in the long-term weather patterns typical of different areas around the globe. Experts assert without doubt that the planet is experiencing a temperature rise. Climate change and soil characteristics significantly influence vegetation patterns, impacting biodiversity and ecosystem services. This paper examines the geographical variation in vegetation patterns in some central states of India, focusing on how climate change and soil properties interact to shape these patterns. Using a combination of scientific data and government reports, we analyze the implications for sustainable ecosystem management. The results underscore the necessity for flexible management approaches that take into account the ever-changing relationship between climate and vegetation interactions to ensure long-term ecosystem sustainability.
Summary
Source-checkedPlain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.
Why it matters
- Climate change and soil properties are critical factors that shape vegetation patterns, which in turn affect biodiversity and the services ecosystems provide. View evidence ↗
- The Central Indian region, including Madhya Pradesh, Uttar Pradesh, and south-east Rajasthan, is an ideal study area because its vegetation is highly sensitive to changes in soil and climate. View evidence ↗
- Forests are essential for global biodiversity and carbon storage, offering a way to mitigate the increase of atmospheric carbon dioxide. View evidence ↗
The question
- The study aims to examine how the interaction between soil properties and climate change influences geographical variations in vegetation patterns across central Indian states. View evidence ↗
What they did
- The researchers used a systematic review method, compiling and analyzing data from expert research articles. View evidence ↗
- Vegetation distribution and types were determined by analyzing satellite imagery and maps from the Forest Survey of India. View evidence ↗
What they found
- Since 1970, average temperatures have risen in all three states, with the highest increase in Rajasthan (1.1 °C), followed by Madhya Pradesh (0.8 °C) and Uttar Pradesh (0.7 °C). View evidence ↗
- Annual rainfall has decreased by 10% in Madhya Pradesh and Uttar Pradesh, and by 5% in Rajasthan. View evidence ↗
- NDVI data indicate a consistent decline in vegetation cover and health as average temperatures in the Central Indian region have increased. View evidence ↗
- Soil properties dictate vegetation types: sandy soils support drought-tolerant species, while clayey, nutrient-rich soils support denser and more diverse vegetation. View evidence ↗
- Predictive models suggest that by 2026, under high-emission scenarios, tropical dry deciduous forests may be replaced by grasslands and scrublands. View evidence ↗
What it means
- The authors conclude that adaptive management is necessary to protect ecosystem sustainability and mitigate the negative impacts of climate change. View evidence ↗
- The authors suggest that further analysis of habitat loss is needed to better understand the interdependencies between natural resource components. View evidence ↗
Visual summary
3 visualsIllustrations explain the paper; charts are replotted from the paper's own table values.
Soil-Vegetation Relationship
AI-generated conceptual illustration (Indian scrubland and tropical forest vegetation on sandy and clayey soils). It explains the idea and does not show study data.
View source evidence ↗
Madhya Pradesh (°C) and Uttar Pradesh (°C) and more: 1924 vs 1930 vs 1940 vs 1950 vs 1960
Replotted from Table 1 (page 4) of the original paper. Every bar is the paper's own table value.
View source evidence ↗
Madhya Pradesh (NDVI) and Uttar Pradesh (NDVI) and more: 1924 vs 1930 vs 1940 vs 1950 vs 1960
Replotted from Table 2 (page 4) of the original paper. Every bar is the paper's own table value.
View source evidence ↗Figures & tables
From the original paper
Figure 1
Figure 2
Table 1
Table 2
Figure 3
Table 3
Table 4Introduction
Climate change is most commonly understood as leading to higher temperatures on both land and sea, altering rainfall patterns, and increasing the occurrence of extreme weather events like Hot spells, torrential rains, and prolonged dry periods. (IPCC 2018) [1] . The dramatic rise in human activities affecting the global environment over the last 400 years has led scientists to designate a new geological era known as the Anthropocene epoch (Cruzen 2002) [2] . This epoch is marked by a significantly greater human impact on key biogeochemical processes on land, in the oceans, and in the atmosphere, distinguishing it from the Holocene (Lewis and Maslin 2015) [3] . For example, present-day concentrations of nitrogen on land and carbon in the atmosphere are much higher than they have been in the past million years or possibly even longer (Lewis and Maslin 2015) [3] . A defining characteristic of the Anthropocene is the continuous alteration of the Earth's climate, largely driven by the unprecedented accumulation of carbon dioxide and other greenhouse gases in the atmosphere due to industrialization, fossil fuel combustion, and deforestation (IPCC 2014) [13] . The interaction between global warming, soil characteristics, and vegetation patterns is a critical area of study for understanding ecological dynamics and managing natural resources. Central Indian region, encompassing parts of Madhya Pradesh, Uttar Pradesh, south-east Rajasthan and north Maharashtra, represents a diverse ecological region with varying climatic and soil conditions. This region's vegetation patterns are particularly sensitive to climatic shifts and soil properties, making it an ideal case study for examining these interactions. It is essential to understand the effects of global warming on natural environment and the provision of biological community services in regions to develop effective strategies for climate adaptation and mitigation. Forests globally are crucial reservoirs of biodiversity and store vast amounts of carbon. As we contend with persistent and future climate change, predominantly driven by human-induced greenhouse gas discharges, the pivotal role of forests in carbon dynamics escalates in importance. They have potential to mitigate and rise of carbon dioxide, a significant greenhouse gas, in the atmosphere (Pan et al. 2011) [5] . In India, forests encompass an expansive 708,273 square kilometres, representing 21.54% of the nation's land area. These forests showcase a wide array of characteristics, including species composition, canopy closure, stand structure, topographic complexity, seasonal variability, and disturbance regimes (Forest Survey of India 2017) [8] . This diversity encompasses mangroves, tropical moist and dry deciduous forests, savannahwoodlands, subtropical, and temperate forests. Regional disparities in temperature and rainfall patterns play a significant role in shaping this variation (Champion and Seth in 1968) [9] . Understanding these diverse forest ecosystems is essential for effective conservation and management strategies in the context of climate change.
Material and Methods
Material and Methods
Data source and literature review
The study relies on compiling data from research articles authored by experts in the same field, examining it systematically for the study's objectives. Given the broad scope of climate change and ecosystems, the study focuses only on specific parameters deemed relevant to its aims
Climate change and vegetation
Climate change affects vegetation through alterations in temperature, precipitation, and atmospheric CO2 levels.
Studies indicate that rising temperatures and changing precipitation patterns can lead to shifts in vegetation zones, changes in species composition, and altered phonological events (IPCC, 2014) [13] . These changes can disrupt ecosystem services, such as carbon sequestration, water regulation, and biodiversity support (Parmesan & Yohe, 2003) [24] .
Soil characteristics and vegetation
Soil properties, including texture, structure, pH, and nutrient content, play a crucial role in determining vegetation patterns. Soil moisture and fertility are particularly influential, as they affect plant growth and species distribution (Jenny, 1941) [23] . The interaction between soil characteristics and vegetation is complex, with feedback mechanisms that can amplify or mitigate climate change's impacts (Wardle et al., 2004) [25] .
Description of rain-fed regions
Rain-fed areas are typically characterized and classified using a moisture index, which is based on water availability for plant growth and synthesizes data on the quantity and distribution of rainfall. The rain-fed agro-ecosystem can be divided into arid (desert), semi-arid (without water), semiarid (with water), and sub-humid zones.
Vegetation patterns
Indian states such as Madhya Pradesh, Uttar Pradesh, and south-eastern Rajasthan exhibit a variety of vegetation types, ranging from tropical dry deciduous forests to grasslands. This region's vegetation is adapted to a monsoonal climate with distinct wet and dry seasons. However, recent climatic trends suggest increasing variability in monsoon patterns, which could significantly impact vegetation dynamics (Gadgil & Kumar, 2006) [12] .
Study area
The research focuses on Madhya Pradesh, Uttar Pradesh, and Rajasthan, encompassing a varied array of ecosystems such as forests, grasslands, and agricultural lands. The geographical scope extends roughly from 23°N to 30°N latitude and 69°E to 84°E longitude, encompassing diverse ecological zones and agro-climatic conditions. These states together form a diverse tapestry of landscapes, spanning from arid deserts to fertile plains, significantly impacting agricultural techniques, biodiversity conservation strategies, and socio-economic factors. Madhya Pradesh (M.P.): Madhya Pradesh, located in central India, spans a significant portion of the Vindhya and Satpura mountain ranges. It is characterized by a mix of forested hills, plateaus, and fertile plains. The state is known for its rich biodiversity, encompassing tropical forests, deciduous woodlands, and diverse wildlife habitats. Uttar Pradesh (U.P.): Uttar Pradesh, situated to the northeast of Madhya Pradesh. It encompasses the fertile Indo-Gangetic Plain and is crisscrossed by the Ganges and Yamuna rivers. Rajasthan: Rajasthan is located to the northwest of both Madhya Pradesh and Uttar Pradesh. It is the largest state in India by area, predominantly characterized by the Thar Desert (also known as the Great Indian Desert) in the west and the Aravalli Range running through its central region. The state experiences diverse climatic conditions, ranging from extreme desert heat to semi-arid and sub-tropical climates.
Data collection 1) Climate data:
We used historical and projected climate data from the Indian Meteorological Department (IMD) and IPCC reports, focusing on temperature and precipitation patterns over the past five decades. 2) Soil data: Soil data were collected from the National Bureau of Soil Survey and Land Use Planning (NBSS&LUP). Parameters included soil texture, pH, organic matter content, and nutrient levels. 3) Vegetation data: Satellite imagery and vegetation maps from the Forest Survey of India (FSI) were analysed to determine vegetation types and their distribution. Intensive agriculture (soybean, wheat, cotton) and deforestation.
Aims and objectives
Soil erosion, reduced organic matter, nutrient depletion.
Traditional farming with crop rotation and fallow periods.
High use of chemical fertilizers and pesticides.
Decline in soil fertility, increased soil compaction.
Grazing lands and communitymanaged forests.
Expansion of irrigation projects, leading to salinization in some areas.
Soil salinity issues in irrigated regions.
Uttar Pradesh Dominantly agricultural with ricewheat rotation in Genetic plains.
High-intensity agriculture, urbanization, and industrial growth.
Soil degradation, nutrient depletion, pollution.
Predominantly smallholder farms with diverse cropping systems.
Increase in sugarcane and cash crops. Increased soil erosion, and loss of soil biodiversity.
Traditional organic manure use. Heavy reliance on chemical fertilizers and mechanized farming.
Decline in organic matter, and soil acidification.
Rajasthan
Nomadic pastoralism and traditional rain-fed farming.
Shift to commercial farming, extensive irrigation, and urbanization. Soil erosion, desertification, nutrient loss.
Extensive grazing and limited agriculture in arid regions.
Increase in irrigated crops like cotton and wheat.
Over-extraction of groundwater leads to soil salinity.
Traditional water harvesting systems (Johads, Baolis).
The decline in traditional water systems increased dependency on bore wells.
Soil compaction, reduced water infiltration.
Data source: Citation: Soil Health and Land Use in India. Indian Council of Agricultural Research, New Delhi, India. 2021-22
Discussion
Discussion
Geographical distribution of vegetation patterns
The analysis revealed distinct vegetation zones correlated with climatic and soil gradients. Tropical dry deciduous forests dominate the central and northern parts of the study area, while moist deciduous forests are found in the southern regions with higher rainfall. Grasslands and scrublands are prevalent in areas with poorer soil fertility and lower rainfall. The forests in central India, particularly in the northwestern region, are extremely susceptible. There are pockets of vulnerability interspersed with nonvulnerable areas in this region. Tropical dry deciduous forests with species like Teak (Tectona grandis) and Sal (Shorea robusta) dominate the central and northern regions. Moist deciduous forests with species like Banyan (Ficus benghalensis) and Arjun (Terminalia arjuna) are found in southern, higher-rainfall areas. Grasslands and scrublands, with species like babul and khejri, prevail in regions with poorer soil fertility and lower rainfall. The central Indian forests, particularly in the north western region, face significant vulnerability due to various factors, highlighting the need for targeted conservation efforts.
Influence of climate change
Climate data analysis indicated significant warming trends and increasing precipitation variability. The correlation analysis showed that temperature and precipitation are key determinants of vegetation distribution. Rising temperatures are likely to shift vegetation zones northward; shifts in precipitation patterns might cause droughts and floods to become more common, thereby influencing plant growth and survival. Affecting species such as Teak (Tectona grandis) and Sal (Shorea robusta) in the dry deciduous forests of Madhya Pradesh and Uttar Pradesh, may migrate to cooler areas. Similarly, the moist deciduous forests, which house species like Banyan (Ficus benghalensis) and Arjun (Terminalia arjuna), might also shift due to changing climate conditions. In Rajasthan, the semi-arid grasslands and scrublands, with species like babul (Acacia nilotica) and Khejri (Prosopis cineraria), are particularly susceptible to shifts in precipitation patterns, potentially experiencing more frequent droughts and floods. These climatic changes could lead to altered plant growth and survival rates, impacting local ecosystems and the livelihoods dependent on these vegetation zones. The observed decreasing pattern of vegetation over the past decade corresponds closely with rising temperatures in the Central Indian region. As average temperatures have increased, the Normalized Difference Vegetation Index (NDVI) data show a consistent decline, indicating reduced vegetation cover and health. Elevated temperatures exacerbate soil moisture evaporation, leading to drought conditions that stress plant life and hinder growth. Additionally, higher temperatures can disrupt phenological events such as flowering and seed germination, further impacting vegetation. This trend underscores the urgent need for adaptive management strategies to mitigate the effects of climate change on vegetation and maintain ecosystem resilience.
Role of soil characteristics
Soil texture and fertility were found to be critical in determining local vegetation types. Areas with sandy soils and low organic matter supported more drought-tolerant species, while regions with clayey, nutrient-rich soils had denser, more diverse vegetation. Soil pH and salinity also influenced species composition, with certain plants showing strong preferences for specific soil conditions.
Predictive modelling
The predictive models suggest that under a high-emission scenario, substantial shifts in vegetation zones are likely by 2026. Tropical dry deciduous forests may recede, giving way to scrublands and grasslands in many areas. These changes could reduce biodiversity and alter ecosystem services, necessitating adaptive management strategies.
Implications for ecosystem management
The results highlight the importance of adopting integrated ecosystem supervision strategies that take into account both climatic and soil-related factors. These strategies should include:
Surveillance and early alert systems:
Introducing effective monitoring mechanisms to track changes in climate, soil, and vegetation patterns can help in early detection and mitigation of adverse impacts. It is essential to conduct climate impact and vulnerability assessments utilizing various global climate models and dynamic global vegetation models. This will likely necessitate the collection of data on climate, vegetation, soil, and water for the diverse forest types in India.
Adaptive management practices:
Developing flexible management plans that can be adjusted based on ongoing climatic and ecological changes is crucial. This includes promoting species and ecosystems that are resilient to climatic variability. Given that nearly half of the forested areas are predicted to experience shifts in vegetation types, it is imperative to incorporate climate change considerations into all forest conservation and development programs, including the 'Greening India Mission'. This integration is essential for the sustainability and effectiveness of these initiatives in the face of changing climatic conditions.
Conservation and restoration:
Prioritizing conservation of critical habitats and restoration of degraded areas can enhance ecosystem resilience. This involves protecting biodiversity hotspots and reforesting areas with native species adapted to local conditions.
Sustainable land use planning:
Sustainable land use planning:
Figures and tables from the paper
| Year | Madhya Pradesh (°C) | Uttar Pradesh (°C) | Rajasthan (°C) |
|---|---|---|---|
| 1924 | 25.0 | 24.0 | 26.0 |
| 1930 | 25.2 | 24.1 | 26.2 |
| 1940 | 25.3 | 24.3 | 26.5 |
| 1950 | 25.5 | 24.5 | 26.8 |
| 1960 | 25.8 | 24.7 | 27.0 |
| 1970 | 26.0 | 24.8 | 27.2 |
| 1980 | 26.2 | 25.0 | 27.5 |
| 1990 | 26.5 | 25.2 | 27.8 |
| 2000 | 26.8 | 25.5 | 28.0 |
| 2010 | 27.0 | 25.7 | 28.3 |
| 2020 | 27.2 | 25.9 | 28.5 |
| 2024 | 27.3 | 26.0 | 28.6 |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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| Year | Madhya Pradesh (NDVI) | Uttar Pradesh (NDVI) | Rajasthan (NDVI) |
|---|---|---|---|
| 1924 | 0.35 | 0.40 | 0.30 |
| 1930 | 0.36 | 0.41 | 0.31 |
| 1940 | 0.37 | 0.42 | 0.32 |
| 1950 | 0.38 | 0.43 | 0.33 |
| 1960 | 0.39 | 0.44 | 0.34 |
| 1970 | 0.40 | 0.45 | 0.35 |
| 1980 | 0.41 | 0.46 | 0.36 |
| 1990 | 0.42 | 0.47 | 0.37 |
| 2000 | 0.43 | 0.48 | 0.38 |
| 2010 | 0.44 | 0.49 | 0.39 |
| 2020 | 0.45 | 0.50 | 0.40 |
| 2024 | 0.46 | 0.51 | 0.41 |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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| State | Soil type | pH range | Organic matter (%) | Texture | Major nutrients (N, P, K) |
|---|---|---|---|---|---|
| Madhya Pradesh | Black Cotton | 6.5-7.5 | 1.0-2.0 | Clayey | Moderate |
| Uttar Pradesh | Alluvial | 7.0-8.0 | 0.5-1.5 | Loamy | High |
| Rajasthan | Sandy | 7.5-8.5 | 0.1-0.5 | Sandy | Low |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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