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NCBS

National Center for Biological Sciences (NCBS), Bangalore, India
6 Projects, page 1 of 2
  • Funder: UK Research and Innovation Project Code: NE/R005079/1
    Funder Contribution: 253,531 GBP

    The tropics are warming and the frequency of extreme heat events, often accompanied by drought, is increasing across most of the tropical forest biome. It is currently unclear what the effects of increasing heat on tropical forests will be. This key question is the focus of the current IOF proposal, based on three integrated strands of NERC research in Amazonia, which we lead and propose to pilot in India. The approach consists firstly of a targeted real-time observation program at a forest site at the Southern border of the Amazon humid forests, as part of the NERC BIO-RED consortium, co-led by Gloor and Phillips. Real-time observations of forest performance rely heavily on cameras overlooking the canopies, which measure canopy temperatures, measures of productivity performance and stress, and phenology. To characterize the climate forcing, we measure continuously climate and soil humidity. In order to understand observed patterns of tree performance responses to heat extremes, we measure separately traits of the site's dominant tree species related to tree hydraulics, as well as productivity. Secondly, as part of another ongoing NERC grant (TREMOR, led by DG) we are measuring tree hydraulic properties of dominant trees at 10 sites distributed across the Amazon. Knowledge of these characteristics across wide areas permits us to generalize mechanistic results measured with the in-situ monitoring approach. Finally, in both ongoing and past grants OP has developed a tropical forest plot-monitoring network in Amazonia, Africa, and Borneo (~1000 1-ha plots now), capable of tracking longer-term shifts in forest biomass, productivity, and composition. We propose here to work with leading Indian scientists to apply these approaches in this critical region. In large parts of tropical India heat waves have increased considerably in recent years with peak temperatures reaching up to 50C. Model projections suggest that up to 45% of Indian forests may be at risk of shifting to non-forest vegetation states, yet there are only very limited data to evaluate these projections. India lacks both a comprehensive observational system as at our Amazon site, and has relatively few permanent plots, and those that do exist are mostly not integrated into international forest monitoring networks. To address these challenges we have formed new connections with key experts in India covering the areas of forest ecology, eco-physiology, and climatology. Between them our new Indian collaborators are strongly linked to national and international forest conservation efforts, and lead most available forest plots. The scientific focus of this proposal, the extensive, biodiverse and potentially climate-sensitive evergreen forests in Western Ghats, is where the team's interests coincide geographically. We propose to jointly install a canopy-overlooking continuous forest heat and drought-response monitoring site, as in S Amazonia, close to existing plots in the Western Ghats. Together we plan a site-level traits campaign of dominant species and local integration of plot- and canopy-observation monitoring. We further propose to harmonize protocols of plot censuses and to include Indian plot data in the pan-tropical forest census database to support larger scale geographical analyses and syntheses. I-FOR will also aim to support mutual exchange of skills, focused in three steps. The first, in the Western Ghats, is a workshop dedicated to student and young scientist education in field skills and protocols. Secondly, we plan several visits of Indian colleagues to Leeds to support joint analyses and post-project planning. The final workshop, to be hold at one of the Indian scientist's home institution, will include wider participation to discuss implications of the results and to take practical steps toward ensuring these activities become long-term efforts.

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  • Funder: UK Research and Innovation Project Code: BB/M017699/1
    Funder Contribution: 1,387 GBP

    India

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  • Funder: UK Research and Innovation Project Code: BB/P025552/1
    Funder Contribution: 20,229 GBP

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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  • Funder: UK Research and Innovation Project Code: BB/I025883/1
    Funder Contribution: 26,310 GBP

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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  • Funder: UK Research and Innovation Project Code: NE/T01279X/1
    Funder Contribution: 2,130,390 GBP

    The ecosystems of the dry tropics are in flux: the savannas, woodlands and dry forests that together cover a greater area of the globe than rainforests are both a source of carbon emissions due to deforestation and forest degradation, and also a sink due to the enhanced growth of trees. However, both of these processes are poorly understood, in terms of their magnitude and causes, and the net carbon balance and its future remain unclear. This gap in knowledge arises because we do not have a systematic network of observations of vegetation change in the dry tropics, and thus have not, until now, been able to use observations of how things are changing to understand the processes involved and to test key theories. Satellite remote sensing, combined with ground measurements, offers the ideal way to overcome these challenges, as it can provide regular, consistent monitoring at relatively low cost. However, most ecosystems in the dry tropics, especially savannas, comprise a mixture of grass and trees, and many optical remote sensing approaches (akin to enhanced versions of the sensors on digital cameras) struggle to distinguish changes between the two. Long wavelength radar remote sensing avoids this problem as it is insensitive to the presence of leaves or grass, and also is not affected by clouds, smoke or the angle of the sun, all of which complicate optical remote sensing. Radar remote sensing is therefore ideal to monitor tree biomass in the dry tropics. We have successfully demonstrated that such data can be used to accurately map woody biomass change for all 5 million sq km of southern Africa. In SECO we will create a network of over 600 field plots to understand how the vegetation of the dry tropics is changing. and complement this with radar remote sensing to quantify how the carbon cycle of the dry tropics has changed over the last 15 years. This will provide the first estimates of key carbon fluxes across all of the dry tropics, including the amount of carbon being released by forest degradation and deforestation and how much carbon is being taken up by the intact vegetation in the region. By understanding where these processes are happening, we will improve our knowledge of the processes involved. W will use these new data to improve the way we model the carbon cycle of the dry tropics, and test key theories. The improved understanding, formalised into a model, will be used to examine how the dry tropics will respond to climate change, land use change and the effects of increasing atmospheric CO2. We will then be able to understand whether the vegetation of the dry tropics will mitigate or exacerbate climate change, and we will learn what we need to do to maintain the structure of the dry tropics and preserve its biodiversity. Overall, SECO will allow us to understand how the vegetation of the dry tropics is changing, and the implications of this for the global carbon cycle, the ecology of savannas and dry forests, and efforts to reduce climate change. The data we create, and the analyses we conduct will be useful to other researchers developing methods to monitor vegetation from satellites, and also to those who model the response of different ecosystems to climate and other changes. Forest managers, ecologists and development practitioners can use the data to understand which parts of the world's savannas and dry forests are changing most, and how these changes might be managed to avoid negative impacts that threaten biodiversity and the livelihoods of the 1 billion, mostly poor, rural people who live in this region.

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