Anthropogenic drivers of algal regime shifts in a Himalayan watershed and pathways for nature-based solutions
ヒマラヤ流域における人為的藻類レジームシフトと自然ベースの解決策への経路 (AI 翻訳)
BHAWNA PANDEY, N. Chandra, Aman Srivastava, Himanshu Sahu, Arun Pratap Mishra, Ravindra Kumar, Dhani Arya, Upaka Rathnayake, Komali Kantamaneni
🤖 gxceed AI 要約
日本語
本研究は、インドのコシ川流域の3地点で藻類の多様性と水質を評価し、水質指数（WQI）と多変量統計を用いて、下流ほど水質が悪化し、藻類群集が変化することを示した。濁度とpHが主要な環境要因であり、自然ベースの解決策の必要性を強調している。
English
This study assesses algal diversity and water quality at three sites in the Kosi watershed, India, using Water Quality Index and multivariate statistics. It reveals a spatial gradient from excellent to very poor water quality, with turbidity and pH driving algal community shifts, and emphasizes the need for nature-based solutions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、河川生態系の保全や水質管理に関連するが、GX政策との直接的な関連は薄い。ただし、自然ベースの解決策は日本の生態系を活用した炭素吸収源や適応策と関連する可能性がある。
In the global GX context
Globally, this study contributes to freshwater ecology and nature-based solutions, which are relevant to climate adaptation and biodiversity conservation, but it does not directly address climate disclosure or transition finance.
👥 読者別の含意
🔬研究者:Provides empirical evidence on algal community responses to anthropogenic pressures in Himalayan rivers, useful for freshwater ecology research.
🏛政策担当者:Highlights the need for pollution mitigation and nature-based solutions in watershed management, relevant for environmental policy.
📄 Abstract（原文）
Abstract Freshwater ecosystems worldwide are increasingly threatened by human activities, yet the ecological mechanisms linking anthropogenic pressures to algal community dynamics remain incompletely resolved in the Himalayan river systems. To bridge this gap, this study presents a rapid ecological assessment of algal diversity and water quality across three sites in the Kosi watershed, India, integrating comprehensive physicochemical analyses, Water Quality Index (WQI) evaluation, and multivariate statistics. We collected and analyzed 33 water and algal samples during the summer of 2023, identifying 11 algal genera spanning Cyanophyta, Chlorophyta, Xanthophyta, and Charophyta. Our results reveal a pronounced spatial gradient in water quality, with WQI values ranging from “excellent” (42.6) at the minimally impacted upstream site to “very poor” (266.3) at the most anthropogenically influenced downstream site. Canonical correspondence analysis demonstrates that turbidity and pH are the primary environmental drivers shaping algal assemblages, with nutrient-tolerant Spirulina and Oscillatoria dominating disturbed sites, while Oedogonium and Spirogyra prevail under more stable conditions. The rapid assessment approach enabled the timely detection of pollution hotspots and ecological responses, providing implementable steps for watershed management. Our findings underscore the urgent need for targeted conservation and pollution mitigation strategies to preserve riverine biodiversity and ecosystem services in Himalayan catchments. Nature-based solutions can be among the potential pathways to sustainability.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s11356-026-38080-5first seen 2026-08-17 05:00:11
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。