River ecosystem resilience risk index: A tool to quantitatively characterize resilience and critical transitions in human-impacted large rivers. (1st January 2021)

• Record Type: Journal Article
• Authors: Jaiswal, Deepa; Pandey, Jitendra
• Is Part Of: Environmental pollution. Volume 268(2021)Part B
• Publication Date: 2021-01-01
• Subjects: Critical transitions -- Ecosystem response -- Human perturbations -- Positive feedbacks -- Resilience -- River ecosystem resilience risk index; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2020.115771
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Riverine ecosystems can have tipping points at which the system shifts abruptly to alternate states, although quantitative characterization is extremely difficult. Here we show, through critical analysis of two different reach scale (25 m and 50 m) studies conducted downstream of two point sources, two tributaries (main stem and confluences) and a 630 km segment of the Ganga River, that human-driven benthic hypoxia/anoxia generates positive feedbacks that propels the system towards a contrasting state. Considering three positive feedbacks-denitrification, sediment-P- and metal-release as level determinants and extracellular enzymes (β-D-glucosidase, protease, alkaline phosphatase and FDAase) as response determinants, we constructed a 'river ecosystem resilience risk index (RERRI)' to quantitatively characterize tipping points in large rivers. The dynamic fit intersect models indicated that the RERRI<4 represents a normal state, 4–18 a transition where recovery is possible, and >18 an overstepped condition where recovery is not possible. The resilience risk index, developed for the first time for a lotic ecosystem, can be a useful tool for understanding the tipping points and for adaptive and transformative management of large rivers. Graphical abstract: Image 1 Highlights: We developed river ecosystem resilience risk index (RERRI) to characterize tipping points. We consider positive feedbacks and extracellular enzymes to develop RERRI. We consider the main river stems and trajectory studies at two reaches. RERRI<4 represents a normal, 4–18 a transition, and >18 an overstepped condition. The RERRI developed here is the first index to detect tipping points in rivers. Abstract : Here, we for the first time developed a ''River ecosystem resilience risk index (RERRI)' to quantitatively characterize the resilience and tipping points in large rivers.