Assessment and multi-scenario prediction of ecosystem services in the Yunnan-Guizhou Plateau based on machine learning and the PLUS model

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 18, 2025

Introduction Machine learning techniques, renowned for their ability to process complex datasets and uncover key ecological patterns, have become increasingly instrumental in assessing ecosystem services. Methods This study quantitatively evaluates individual services—such as water yield, carbon storage, habitat quality, soil conservation—on the Yunnan-Guizhou Plateau years 2000, 2010, 2020. A comprehensive service index is employed assess overall capacity, revealing spatiotemporal variations services exploring trade-offs synergies among them. Additionally, machine models identify drivers influencing services, informing design of future scenarios. The PLUS model used project land use changes by 2035 under three scenarios—natural development, planning-oriented, priority. Based on simulation results these scenarios, InVEST applied evaluate various Results During 2000-2020, exhibited significant fluctuations, driven synergies. Land vegetation cover were primary factors affecting with priority scenario demonstrating best performance across all Discussion research integrates model, providing more efficient data interpretation precise design, offering new insights methodologies managing optimizing Plateau. These findings contribute development effective protection sustainable strategies, applicable both plateau similar regions.

Language: Английский

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Ecological Traits and Socio-Economic Impacts of the Alien Invader Weed Parthenium hysterophorus L. in South Africa’s Rangeland Ecosystems: A Review

Diversity, Journal Year: 2024, Volume and Issue: 16(4), P. 205 - 205

Published: March 28, 2024

Parthenium hysterophorus L. (Asteraceae), commonly known as famine weed in South Africa, is one of the most invasive weeds worldwide, accountable for losses to biodiversity, agriculture, economy, and health livestock human beings. The spread this not easy manage or reverse. With globalization, trade, movement, it will continue spread, allowing its range expand into new areas. This has serious adverse effects on rangeland agricultural crop production. Because unique characteristics, invasiveness competitive success rates are attributed high reproductive ability, fast growth rate, tolerance environmental stresses, climate change adaptability, allelopathic potential, unpalatability animals. dominates diverse habitats by spreading quickly a contaminant grain other products through farm machinery. It widely distributed become problematic various countries, including Africa. successfully invaded several provinces country since introduction 1880. Since plant invasions universal, study aimed review research that been conducted aggressive P. understand ecological characteristics enable successful establishment, economic costs associated with detrimental impacts, briefly assess knowledge gaps improve management strategies.

Language: Английский

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Assessing Morphological and Physiological Crop Functional Traits of Underutilized Crops in Response to Different Nutrient Amendments in Vindhyan Highlands, India

International Journal of Plant Production, Journal Year: 2024, Volume and Issue: 18(1), P. 13 - 33

Published: Jan. 18, 2024

Language: Английский

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Analysis of factors influencing farmers’ adoption of desert locust control methods in Kenya

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: March 13, 2025

Transboundary pests present a significant threat to agricultural production and household incomes, with desert locust invasions being among the most disruptive. Despite ongoing control efforts, such as surveillance chemical interventions, rapid spread of locusts into non-traditional breeding areas limited preparedness underscore need for integrated management. This study aimed identify indigenous practices examine factors influencing their adoption support informed policy pest Using multivariate probit model (MVP) corrected selection bias, we assessed affecting these methods. Data from random sample 473 farmers in Isiolo Meru counties, Kenya, revealed that methods are complementary, meaning they more effective when used together rather than isolation. Key included access information, experience previous shocks, social networks. These findings emphasize importance establishing early warning systems enhancing farmer training on management through groups strategic entry points intervention.

Language: Английский

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Perception on effects and management strategies of invasive plants in the Ngorongoro Ecosystem, Tanzania

Journal for Nature Conservation, Journal Year: 2025, Volume and Issue: unknown, P. 126934 - 126934

Published: April 1, 2025

Language: Английский

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Socio-ecological Challenges and Adaptation Strategies of Farmers Towards Changing Climate in Vindhyan highlands, India

Environmental Management, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 29, 2023

Language: Английский

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Unveiling the Ecological Alarm: People's perception towards Exploring the Impact of Invasive Plants on Biodiversity and Ecosystem Services in the Western Himalaya

Environmental Challenges, Journal Year: 2024, Volume and Issue: 16, P. 100997 - 100997

Published: Aug. 1, 2024

Language: Английский

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The plural realities of plant invasions in India: A review of impacts to wellbeing

Environmental Development, Journal Year: 2024, Volume and Issue: 51, P. 101003 - 101003

Published: May 18, 2024

Language: Английский

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Evaluating variability in soil attributes and forest vegetation in a degraded dry tropical region: an ecological restoration perspective

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Language: Английский

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Revitalizing Traditional Knowledge of the Himalayan Indigenous Tribes: An Ethnoecological and Ethnobotanical Approach

Advances in Asian human-environmental research, Journal Year: 2024, Volume and Issue: unknown, P. 111 - 133

Published: Jan. 1, 2024

Language: Английский

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