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Prof. Kerrylee Rogers

@kerryleerogers

Coastal scientist, @UOW, Director Environmental Futures, cancer survivor. Passionate about family, science, nature 🌏 🌳 🌊 πŸ§ͺ

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18.08.2023
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Latest posts by Prof. Kerrylee Rogers @kerryleerogers

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Congratulations to Dr Jeff Kelleway and Ting Cheng who were awarded the Environmental Futures Publication of the Month Award at our end of year celebration last week

@kerryleerogers.bsky.social

01.12.2025 00:15 πŸ‘ 2 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
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Projecting Uncertainty in Ecosystem Persistence Under Climate Change

buff.ly/EjgEsFS
@bluecology.bsky.social @kerryleerogers.bsky.social

05.09.2025 23:25 πŸ‘ 8 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0

Excited to be part of this team. I’ve collaborated with Prof Saintilan for many years & our work has increasingly focused on understanding the response of coasts to sea level rise. It’s been great to see the collaboration expand as the effects of climate change continue to be realised

31.07.2025 21:07 πŸ‘ 5 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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Ever wondered by dolphins jump out of the water? Dr Katharina Peters explains in her latest article in the Conversation 🐬

kjpeters.bsky.social

theconversation.com/curious-kids...

08.07.2025 06:01 πŸ‘ 2 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
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Where do giant volcanic eruptions come from? New study finds missing link to β€˜blobs’ deep within Earth Pillars of hot rock connect moving BLOBS in the deep Earth to giant volcanic eruptions at its surface.

Congratulations to PhD candidate Annalise Cucchiaro on her first paper published in @theconversation.com showing that giant volcanic eruptions are triggered by mantle plumes up to 3,000 km in length, which originate from moving continent-size 'BLOBS' deep within the Earth.

t.co/mAKJV78oPs

10.07.2025 04:32 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

@uowenvirofutures.bsky.social members undertake interesting & groundbreaking research and the work of my colleague Dr Eline Schotsman is an excellent example. Her research is focused on funerary practices & burial taphonomy; lying at the interface between archaeo-anthropology & forensic sciences.

11.07.2025 09:40 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Opening slide on Itecol12 conference

Opening slide on Itecol12 conference

Field trip to a lake wetland near Tartu Estonia πŸ‡ͺπŸ‡ͺ

Field trip to a lake wetland near Tartu Estonia πŸ‡ͺπŸ‡ͺ

Hike around lake near Tartu Estonia πŸ‡ͺπŸ‡ͺ

Hike around lake near Tartu Estonia πŸ‡ͺπŸ‡ͺ

Town Hall Square, Town Hall and w Students Statue at Tartu city centre

Town Hall Square, Town Hall and w Students Statue at Tartu city centre

Attended Intecol12 this week. Tartu isn’t coastal & not on my radar, but Intecol12 spanned a range of wetland types & disciplines. We often struggle justifying attending conferences, but this meeting will provide returns for years. Thanks to organisers, University of Tartu. See you all at Intecol13!

06.07.2025 15:23 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
YOU JUST GOT SALTMARSHED!!!

SEND TO A FRIEND TO SALTMARSH THEM.

(taken from the RSPB instagram. https://www.rspb.org.uk/)

YOU JUST GOT SALTMARSHED!!! SEND TO A FRIEND TO SALTMARSH THEM. (taken from the RSPB instagram. https://www.rspb.org.uk/)

Happy Saltmarsh Day to all who celebrate! (I do.)

12.06.2025 22:19 πŸ‘ 241 πŸ” 57 πŸ’¬ 4 πŸ“Œ 4
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The Environmental Futures Paper of the Month was awarded this morning at the EF member catch up. Congratulations to Prof Bo Li and PhD student Lolita Trenchat πŸ‘

@kerryleerogers.bsky.social

05.06.2025 05:34 πŸ‘ 3 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
Wilson’s Promontory or Yiruk Wamoon, 3 hours drive from Melbourne, Australia, is National Park with magnificent peaks, beaches, rainforest, and the world’s southernmost mangroves. A hiking and boating paradise, the promontory and surrounding islands are the exposed portions of a Devonian granite batholith.

Wilson’s Promontory or Yiruk Wamoon, 3 hours drive from Melbourne, Australia, is National Park with magnificent peaks, beaches, rainforest, and the world’s southernmost mangroves. A hiking and boating paradise, the promontory and surrounding islands are the exposed portions of a Devonian granite batholith.

🌏 Rare opportunity to join us!

We’re hiring two new Lecturer/Senior Lecturers in the School of Earth Atmosphere & Environment #MonashUni, a top 50 global university

πŸ”¬ Isotope Geochemistry
πŸ›°οΈ Remote Sensing/Geospatial
careers.pageuppeople.com/513/cw/en/jo...
careers.pageuppeople.com/513/cw/en/jo...

31.05.2025 03:53 πŸ‘ 57 πŸ” 35 πŸ’¬ 2 πŸ“Œ 1
Upper Clyde River

Upper Clyde River

Candlagan Creek with group of scientists, marine managers, and post graduate students

Candlagan Creek with group of scientists, marine managers, and post graduate students

Telegraph creek where bushfires passed in 2020

Telegraph creek where bushfires passed in 2020

Restored fish trap in Clyde River catchment

Restored fish trap in Clyde River catchment

Spent the week with fabulous managers of NSW marine estate and the next generation of scientists. Our future is in good hands, providing policy and decision makers get their priorities right

30.05.2025 21:04 πŸ‘ 4 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

YES - but I would also like restoration. If only carbon offsets were what they promised. And we used all effective approaches

26.05.2025 22:28 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

From @uowenvirofutures.bsky.social PhD candidate Chris Laurikainen Gaete and Prof Anthony Dossetto
Ancient kangaroo Ed stayed close to home and this made it easier for them to become extinct www.uow.edu.au/media/2025/a...

26.04.2025 23:01 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Giant kangaroos died out when rainforests disappeared Long before humans roamed the Australian continent, the land teemed with giants. Towering reptiles, thunderous birds, and hulking marsupials defined a wild and ancient world of sprawling rainforest ecosystems. Among these formidable creatures was Protemnodon, a now-extinct genus of giant...

Giant kangaroos died out when rainforests disappeared
->Earth.com | #Rainforest | More info from EcoSearch

26.04.2025 08:38 πŸ‘ 8 πŸ” 5 πŸ’¬ 0 πŸ“Œ 1
Cross-Chapter Box 10 | Policy Attribution – Methodologies for Estimating the Macro-level
Impact of Mitigation Policies on Indices of Greenhouse Gas Mitigation
Authors: Mustafa Babiker (Sudan/Saudi Arabia), Paolo Bertoldi (Italy), Christopher Bataille (Canada), Felix Creutzig (Germany),
Navroz  K.  Dubash (India), Michael Grubb (United Kingdom), Erik Haites (Canada), Ben Hinder (United Kingdom), Janna Hoppe
(Switzerland), Yong-Gun Kim (Republic of Korea), Gregory F. Nemet (the United States of America/Canada), Anthony Patt (Switzerland),
Yamina Saheb (France), Raphael Slade (United Kingdom)
This report notes both a growing prevalence of mitigation policies over the past quarter century (Chapter 13), and β€˜signs of progress’
including various quantified indices of GHG mitigation (Table 2.4). Even though policies implemented and planned to date are clearly
insufficient for meeting the Paris long-term temperature goals, a natural question is to what extent the observed macro-level changes
(global, national, sectoral, technological) can be attributed to policy developments. This Assessment Report is the first to address that
question. This box describes the methods for conducting such β€˜attribution analysis’ as well as its key results, focusing on the extent to
which polices have affected three main types of β€˜outcome indices’:
β€’ GHG emissions: emissions volumes and trends at various levels of governance including sub- and supra-national levels, and
within and across sectors.
β€’ Proximate emission drivers: trends in the factors that drive emissions, distinguished through decomposition analyses, notably:
energy/GDP intensity and carbon/energy intensity (for energy-related emissions); indices of land use such as deforestation rates (for
LULUCF/AFOLU); and more sector-specific component drivers such as the floor area per capita, or passenger kilometres per capita.
β€’ Technologies: developments in key low-carbon technologies that are likely to have a strong influence on future em…

Cross-Chapter Box 10 | Policy Attribution – Methodologies for Estimating the Macro-level Impact of Mitigation Policies on Indices of Greenhouse Gas Mitigation Authors: Mustafa Babiker (Sudan/Saudi Arabia), Paolo Bertoldi (Italy), Christopher Bataille (Canada), Felix Creutzig (Germany), Navroz K. Dubash (India), Michael Grubb (United Kingdom), Erik Haites (Canada), Ben Hinder (United Kingdom), Janna Hoppe (Switzerland), Yong-Gun Kim (Republic of Korea), Gregory F. Nemet (the United States of America/Canada), Anthony Patt (Switzerland), Yamina Saheb (France), Raphael Slade (United Kingdom) This report notes both a growing prevalence of mitigation policies over the past quarter century (Chapter 13), and β€˜signs of progress’ including various quantified indices of GHG mitigation (Table 2.4). Even though policies implemented and planned to date are clearly insufficient for meeting the Paris long-term temperature goals, a natural question is to what extent the observed macro-level changes (global, national, sectoral, technological) can be attributed to policy developments. This Assessment Report is the first to address that question. This box describes the methods for conducting such β€˜attribution analysis’ as well as its key results, focusing on the extent to which polices have affected three main types of β€˜outcome indices’: β€’ GHG emissions: emissions volumes and trends at various levels of governance including sub- and supra-national levels, and within and across sectors. β€’ Proximate emission drivers: trends in the factors that drive emissions, distinguished through decomposition analyses, notably: energy/GDP intensity and carbon/energy intensity (for energy-related emissions); indices of land use such as deforestation rates (for LULUCF/AFOLU); and more sector-specific component drivers such as the floor area per capita, or passenger kilometres per capita. β€’ Technologies: developments in key low-carbon technologies that are likely to have a strong influence on future em…

Cross-Chapter Box 10 (continued)
from micro-level data evaluation, and inference from combining multiple lines of analysis, including expert opinion. Additionally, the
literature contains reviews, many of them systematic in nature, that assess and aggregate multiple empirical studies.
With these considerations in mind, multiple lines of evidence, based upon the literature, support a  set of high-level findings, as
illustrated in Figure 1 in this Cross-Chapter Box, as follows.
1. GHG Emissions. There is robust evidence with a high level of agreement that mitigation policies have had a discernible impact on
emissions. Several lines of evidence indicate that mitigation policies have led to avoided global emissions to date of several billion
tonnes CO2-eq annually. The figure in this box shows a selection of results giving rise to this estimate.
As a starting point, one methodologically sophisticated econometric study links global mitigation policies (defined as climate laws
and executive orders) to emission outcomes; it estimates emission savings of 5.9 GtCO2 yr–1 in 2016 compared to a no-policy world
(Eskander and Fankhauser 2020) (Section 13.6.2).
A second line of evidence derives from analyses of the Kyoto Protocol. Countries which took on Kyoto Protocol targets accounted
for about 24% of global emissions during the first commitment period (2008–12). The most recent robust econometric assessment
(Maamoun 2019) estimates that these countries cut GHG emissions by about 7% on average over 2005–2012, rising over the period to
around 12% (1.3 GtCO2-eq yr–1) relative to a no-Kyoto scenario. This isconsistent with estimates of Grunewald and Martinez (2016) of
about 800 MtCO2-eq yr–1 averaged to 2009. Developing countries’ emissions reduction projects through the CDM (defined in Article 12
of the Kyoto Protocol) were certified as growing to over 240 MtCO2-eq yr–1 by 2012 (UNFCC 2021c). With debates about the full
Policies
Increase in number of mitigation policies implemente…

Cross-Chapter Box 10 (continued) from micro-level data evaluation, and inference from combining multiple lines of analysis, including expert opinion. Additionally, the literature contains reviews, many of them systematic in nature, that assess and aggregate multiple empirical studies. With these considerations in mind, multiple lines of evidence, based upon the literature, support a set of high-level findings, as illustrated in Figure 1 in this Cross-Chapter Box, as follows. 1. GHG Emissions. There is robust evidence with a high level of agreement that mitigation policies have had a discernible impact on emissions. Several lines of evidence indicate that mitigation policies have led to avoided global emissions to date of several billion tonnes CO2-eq annually. The figure in this box shows a selection of results giving rise to this estimate. As a starting point, one methodologically sophisticated econometric study links global mitigation policies (defined as climate laws and executive orders) to emission outcomes; it estimates emission savings of 5.9 GtCO2 yr–1 in 2016 compared to a no-policy world (Eskander and Fankhauser 2020) (Section 13.6.2). A second line of evidence derives from analyses of the Kyoto Protocol. Countries which took on Kyoto Protocol targets accounted for about 24% of global emissions during the first commitment period (2008–12). The most recent robust econometric assessment (Maamoun 2019) estimates that these countries cut GHG emissions by about 7% on average over 2005–2012, rising over the period to around 12% (1.3 GtCO2-eq yr–1) relative to a no-Kyoto scenario. This isconsistent with estimates of Grunewald and Martinez (2016) of about 800 MtCO2-eq yr–1 averaged to 2009. Developing countries’ emissions reduction projects through the CDM (defined in Article 12 of the Kyoto Protocol) were certified as growing to over 240 MtCO2-eq yr–1 by 2012 (UNFCC 2021c). With debates about the full Policies Increase in number of mitigation policies implemente…

Cross-Chapter Box 10 (continued)
extent of β€˜additionality’, academic assessments of savings from the CDM have been slightly lower, with particular concerns around
some non-energy projects (Section 14.3.3.1).
A third line of evidence derives from studies that identify policy-related, absolute reductions from historical levels in particular
countries and sectors through decomposition analyses (Le QuΓ©rΓ© et al. 2019; Lamb et al. 2021), or evaluate the impact of particular
policies, such as carbon pricing systems. From a wide range of estimates in the literature (Sections 2.8.2.2 and 13.6), many evaluations
of the EU ETS suggest that it has reduced emissions by around 3% to 9% relative to unregulated firms and/or sectors (SchΓ€fer 2019;
Colmer et al. 2020), while other factors, both policy (energy efficiency and renewable support) and exogenous trends, played a larger
role in the overall reductions seen (Haites 2018).
These findings derived from the peer-reviewed literature are also consistent with two additional sets of analysis. The first set concerns
trends in emissions, drawing directly from Chapters 2, 6 and 11, showing that global annual emission growth has slowed, as evidenced
by annual emission increments of 0.55 GtCO2-eq yr–1 between 2011 and 2019 compared to 1.014 GtCO2-eq yr–1 in 2000 and 2008.
This suggests avoided emissions of 4–5 GtCO2-eq yr–1 (see also Figure 1.1d). The second set concerns emissions reductions projected
by Annex I governments for 2020 in their fourth biennial reports to the UNFCCC. It is important to note that these are mostly projected
annual savings from implemented policies (not ex-post evaluations), and there are considerable differences in countries’ estimation
methodologies. Nevertheless, combining estimates from 38% of the total of 2,811 reported policies and measures yields an overall
estimate of 3.81 GtCO2-eq yr–1 emission savings (UNFCCC 2020d).
2. Proximate emission drivers. With less overt focus on emissions, studies of trends i…

Cross-Chapter Box 10 (continued) extent of β€˜additionality’, academic assessments of savings from the CDM have been slightly lower, with particular concerns around some non-energy projects (Section 14.3.3.1). A third line of evidence derives from studies that identify policy-related, absolute reductions from historical levels in particular countries and sectors through decomposition analyses (Le QuΓ©rΓ© et al. 2019; Lamb et al. 2021), or evaluate the impact of particular policies, such as carbon pricing systems. From a wide range of estimates in the literature (Sections 2.8.2.2 and 13.6), many evaluations of the EU ETS suggest that it has reduced emissions by around 3% to 9% relative to unregulated firms and/or sectors (SchΓ€fer 2019; Colmer et al. 2020), while other factors, both policy (energy efficiency and renewable support) and exogenous trends, played a larger role in the overall reductions seen (Haites 2018). These findings derived from the peer-reviewed literature are also consistent with two additional sets of analysis. The first set concerns trends in emissions, drawing directly from Chapters 2, 6 and 11, showing that global annual emission growth has slowed, as evidenced by annual emission increments of 0.55 GtCO2-eq yr–1 between 2011 and 2019 compared to 1.014 GtCO2-eq yr–1 in 2000 and 2008. This suggests avoided emissions of 4–5 GtCO2-eq yr–1 (see also Figure 1.1d). The second set concerns emissions reductions projected by Annex I governments for 2020 in their fourth biennial reports to the UNFCCC. It is important to note that these are mostly projected annual savings from implemented policies (not ex-post evaluations), and there are considerable differences in countries’ estimation methodologies. Nevertheless, combining estimates from 38% of the total of 2,811 reported policies and measures yields an overall estimate of 3.81 GtCO2-eq yr–1 emission savings (UNFCCC 2020d). 2. Proximate emission drivers. With less overt focus on emissions, studies of trends i…

listen up, climate policies have resulted in the avoidance of greenhouse gases and global emissions would be way higher had we done nothing

here is a wall of text from the IPCC report with evidence

www.ipcc.ch/report/ar6/w...

IPCC AR6 WG3 Chapter 14 Cross Chapter box 10 (14-43, line 39)

24.04.2025 21:37 πŸ‘ 305 πŸ” 117 πŸ’¬ 6 πŸ“Œ 6
Postdoctoral researcher in Plankton Ecology // University of Oldenburg

We offer a 5-year research position in the #PlanktonEcology lab in Wilhelmshaven. Are you interested in empirically testing ecological concepts? We offer a stimulating scientific environment, experimental facilities & support to establish an independent research profile
uol.de/en/job/postd...

15.04.2025 17:59 πŸ‘ 60 πŸ” 76 πŸ’¬ 0 πŸ“Œ 2

Last chance to complete the Australian Archaeology in Profile 2025: A Survey of Working Archaeologists survey.

Closing 31 March 2025.

www.surveymonkey.com/r/profiling2...

28.03.2025 00:23 πŸ‘ 7 πŸ” 7 πŸ’¬ 0 πŸ“Œ 0

On point differentiation! I did not have a say in this and there is a lot of politicking in advance of an election that is imminent

27.03.2025 20:59 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Ok - I didn’t know that. I will let my colleagues know

17.03.2025 02:44 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Why is the discovery of Japanese encephalitis virus in mosquitoes collected from suburban Brisbane such a concern? It really upends our understanding of a group of mosquito-borne pathogens with life threatening consequences and how authorities around Australia should respond...

16.03.2025 20:37 πŸ‘ 24 πŸ” 14 πŸ’¬ 2 πŸ“Œ 1

Lots of information there and it sounds difficult to piece together.

Over the years I have switched to completely covering up when doing fieldwork - this has many benefits. May need to add a vaccination to my PPE

16.03.2025 20:47 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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Wholesale gas and electricity prices have TRIPLED since LNG exports began in 2015.

Join Konrad from @punterspolitics.bsky.social and @richarddenniss.bsky.social to find out how big gas has managed this heist, and what can be done about it.

6pm Mon 24 March, Newcastle City Hall.
Link below ‡️

15.03.2025 22:29 πŸ‘ 111 πŸ” 41 πŸ’¬ 5 πŸ“Œ 1

Mangroves 😍😍😍

11.03.2025 06:44 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

β€œThe soft underbelly” - great description of what is forthcoming

Great to see read about this voyage and so important!

07.03.2025 23:17 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

πŸ™‹β€β™€οΈ Breast cancer survivor. Jen will be doing her own squats in no time

03.03.2025 09:23 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Table from page 25 of the proposed restructure of ARC grants. Back text on white background, with the table delineated by a dark blue header row and alternating light and very light blue rows.

Table from page 25 of the proposed restructure of ARC grants. Back text on white background, with the table delineated by a dark blue header row and alternating light and very light blue rows.

The ARC Board has proposed a major shake-up of the National Competitive Grants Program ▢️ www.arc.gov.au/engage-us/co...

I've only skimmed so far, but they propose reducing 13 grant schemes to 6, with intent & scope in the tableπŸ‘‡

Submissions are being accepted in response until 13 April. Get to it!

25.02.2025 03:45 πŸ‘ 68 πŸ” 52 πŸ’¬ 14 πŸ“Œ 15

That’s what I was thinking. I believe its most pronounced in the Lower Gulf

23.02.2025 19:11 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Am I reading this correctly- both the observed and projected tidal height has increased over the observation period?

23.02.2025 09:29 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Spatial distribution of modelled changes of Mediterranean coastal marsh areas between 2020 and 2100 for a medium climate scenario (SSP2-4.5). Coastal management scenario where wetland inland migration is highly constrained (population density threshold of 5 people kmβˆ’2)

Spatial distribution of modelled changes of Mediterranean coastal marsh areas between 2020 and 2100 for a medium climate scenario (SSP2-4.5). Coastal management scenario where wetland inland migration is highly constrained (population density threshold of 5 people kmβˆ’2)

Large-scale loss of Mediterranean coastal marshes under rising sea levels by 2100 www.nature.com/articles/s43...

"For Egypt, France, and Algeria, we predict (near) total loss of coastal marshes by 2100..."

@claudiawolff.bsky.social @avafeidis.bsky.social

22.02.2025 10:03 πŸ‘ 85 πŸ” 43 πŸ’¬ 1 πŸ“Œ 1

Missed this when it came out but super interesting

22.02.2025 21:03 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0