Friday 7th of November, from 3-4 pm in room GA604, ESP, Dr. Virginia Matzek (Santa Clara University, California) will present her research on “Bringing managers’ perspectives to bear on habitat restoration and ecosystem services in California and Australia”.
(beers and snacks available afterwards-as part of the social club!)
Title: Bringing managers’ perspectives to bear on habitat restoration and ecosystem services in California and Australia
Summary: This talk highlights some of the recent work my lab has done in California, as well as our planned work in Australia. The first part of the talk will treat a survey of managers’ research needs for invasive plant management in the state. As a follow-up to this work, we went to the literature to see what had actually been published relevant to California invasive plant management, and documented some mismatches in the topic, scope, and approach of scientific research, when compared with managers’ needs. The second part of the talk discusses whether managers can expect to recoup the cost of restoration of riparian forest in California via the state’s new compliance market for carbon credits. Both of these themes–the potential mismatch of perspectives, and the need to measure ecosystem services resulting from restoration–turn up in the work I’m planning to do here in Australia. I’ll close with a brief account of our proposed work surveying Australian managers and members of the general public for their perspectives on the desirability of ecosystem services as a project goal for restoration.
Bio: Virginia Matzek is an assistant professor in the Department of Environmental Studies and Sciences at Santa Clara University in California, USA. The primary focus of her lab is on linking ecosystem services to ecological restoration. A plant ecologist and biogeochemist by training, she now finds herself interested as much by why people restore ecosystems as by how they do it. She will be at CEED working with Kerrie Wilson and Marit Kragt until mid-December 2014.
2 for 1: New Zealand’s weed biocontrol in a nutshell plus a close-up examination of a case study on what we could do to overcome biocontrol scepticism
Ronny Groenteman1, Simon Fowler1, Jon Sullivan2, Yvonne Buckley3, Rob Salguero-Gómez4
1Landcare Research, 2Lincoln University, 3Trinity College Dublin, 4University of Queensland.
Biological control of weeds research in New Zealand is primarily done by a small group at the Crown Research Institute Landcare Research. In this talk I will give an overview of how our science works hand in hand with operative programmes, and will touch on why our regulatory system works well. I will then dwell on the successful programme against St. John’s wort, Hypericum perforatum – a case study selected to demonstrate the connection between biocontrol and weed populations decline. Demonstrating cause and effect in biological control is no easy undertaking yet it is crucial for us to provide strong scientific evidence of biocontrol effectiveness. The St. John’s wort project includes an intensive field experiment, multi-model inference approach to data analysis, and finally, periodic Integrated Projection Modelling approach to describe the population demography of the weed in the presence and absence of biocontrol. How effective will this undertaking be in convincing sceptics that biocontrol can work is yet to be seen. What is clear is that the resources required for such studies are vast and we must think carefully about the circumstances where this approach will advance decision making not only in a given programme, but in biocontrol science & practice a whole.
If you are interested in finding the best decisions over time to save or eradicate the cutest species, then you are probably interested in using Stochastic Dynamic Programming (SDP) or its mathematical model Markov Decision Process (MDP). If you have a burning problem ready to be solved but not sure how to, then good news we have released the MDPToolbox (ver. 4) in R, Matlab, Octave and Scilab. Please spread the word, the toolbox is free! Thanks to Ecography, you can now support our efforts by citing our paper:
We are pleased to announce the release of our report on ‘Prioritising threat management for Pilbara species of conservation significance’ (PDF, 10Mo)(The Conversation). This was a very rewarding collaborative project with scientists from CSIRO, QUT, UQ, and WA Dept Parks and Wildlife, with input from 49 experts across land management, policy, industrial, agricultural, indigenous and academic sectors, and was funded by Atlas Iron through the Dept of Environment Pilbara Taskforce.
The work comes at an important time in the Pilbara’s history and we hopeful that it will have a positive impact.
We have a decision point article that just came out this month! A great opportunity to communicate on how we can use complementarity between species to improve our monitoring efficiency, and of course remain cost-effective. In Tulloch et al (2013), we used network theory and a lot of ecology to find the best way of modelling and solving this problem. In the end, we were very pleased to show that it is possible to increase your monitoring power by selecting the most complementary species and also reducing the cost. A win-win situation that is rarely available in conservation. Read more
Do you need to find the best decisions to maximize your chances of protecting a threatened species today but also in the future? Yes? Then you might be interested by our primer on stochastic dynamic programming (SDP). Stochastic Dynamic Programming (SDP) is an essential tool in conservation biology and natural resources management.
Not all ducks are the same. Some like shallow water for dabbling, others like the deep stuff for diving, and some like something in-between. So how do you manage a wetland wildlife refuge to maintain the best mix of all three options? And what happens if the climate changes the amount of water that you have to work with? Those are the questions that we answered in our latest paper that has just come out in Climatic Change: Optimal water depth management on river-fed National Wildlife Refuges in a changing climate.Read more
Our paper on Biodiverse planting for carbon and biodiversity on Indigenous land has just been published in PLoS one (get the PDF).
Renwick, A. R., Robinson, C. J., Martin, T. G., May, T., Polglase, P., Possingham, H. P., & Carwardine, J. (2014). Biodiverse Planting for Carbon and Biodiversity on Indigenous Land. PloS one, 9(3), e91281
In this paper we explored three simple and cost-effective geographical measures to maximise genetic and phenotypic variation in fragmented populations when setting conservation priorities.We were interested in finding simple surrogates because limited financial resources usually constrain the allocation of funds to only a subset of threatened species’ populations. We tested our surrogates on two species of birds with differing genetic population structure (Zosterops flavifrons and Z. lateralis) in the Vanuatu archipelago.
Jennifer Firn was on Radio National speaking (Bush Telegraph) about our priority threat management work targeting weeds in the Lake Eyre Basin. You can check our previous blog post on the subject and the report (PDF). Well done Jennifer!
Chrystal Mantyka-Pringle (CSIRO postdoc in the team) worked in collaboration with the University of Queensland, Griffith University and the Queensland Government, to better understand the combined effects of climate change and land-use change on freshwater biodiversity. Read more
This week Rocio Ponce presents her last paper published in Div & Dist. Well done! This research quantifies how climate and land use change, as major threats to biodiversity affect species persistence in Mexican cloud forests. Read more
The Conservation Decisions team (CSIRO Land and Water) is a multi-disciplinary group with expertise in ecological modelling, systematic conservation planning, ecosystem services, applied mathematics, artificial intelligence, and decision theory.
We’re pioneering techniques in optimal resource allocation, cost-effectiveness analysis, expert elicitation, value of information, multi-objective optimisation and adaptive management. We apply our expertise to diverse problems to inform the recovery of endangered species, management of pests, invasive species and diseases, design of conservation reserves, medical decision making, freshwater resource management and the prioritization of threat management to conserve biodiversity in a rapidly changing world.
We solve pressing global decision problems. We do this by connecting big and small data with decision science to determine what actions to take, when and where to get the best outcomes for our bucks, while taking into account the many other competing needs of society.