next level environmental management












Linnaeus4D / Google Play








om Linnaeus4D

What is Linnaeus4D?

Shortly, its a monitoring and modeling system (Software & Hardware) that radically changes environmental management processes.

The five grant challengesLinnaeus4D, is needed because current processes/products were predictably and remain too expensive, slow, compartmentalized and ad-hoc, i.e., 'too slow to help people in the ground understand and respond at the scale needed...and only as good as the agency/people that produced them says they are' (UNESCO WSSR 2010, 2013). In this regard and seeing "Science as a Service" in the “linking (of) knowledge to action” the International Council of Science Identified "Five Grand Challenges" (See figure, based on Asrar 2013).Yet while the challenge/features for any viable solution have been clear; allot of valuable time & resources have been waisted in false-solutions or at best reduntant activities. Services, projects and schemes which have not just ignored Ecological Crises/Systems, but whose implementations has caused serious damage. In 2019, ahead of the IPCC worst-case-scenario, its inescapably clear that: "Most climate scientists agree that it is now too late to prevent 1.5C or more of global heating only by cutting our production of greenhouse gases. Even if we reduced our emissions to zero tomorrow, we would probably overshoot this crucial temperature limit. To prevent a full-spectrum catastrophe, we need not only to decarbonise our economy in the shortest possible time, but also to draw down carbon dioxide that has already been released......But How? ...there is a much better and cheaper way of drawing carbon from the air (than any Technical or Social Solution). Natural climate solutions do it through the restoration of living systems. The greatest potential identified so far – as so much land can be used this way – is in protecting and restoring natural forests and allowing native trees to repopulate deforested land...They could help to solve two existential problems at once: climate breakdown and ecological breakdown." - George Monbiot 2019 

E 2018 SDG Poster without UN emblem Letter US

“Nature is essential to human wellbeing and development. We found that declines in biodiversity and ecosystem services will undermine our ability to meet 35 of the 44 Sustainable Development Goal (SDG) targets related to poverty, hunger, health, water, cities, climate, oceans, life on land"  Belinda Reyers c.f. Stockhom Resilience Center 2019.


Something worth noting, which was very clear after decades of failures and scandals of "Development Aid Projects" for "MDGs" by 2000. As Robertson 2000 stated:   "producing food while maintaining biodiversity and ecosystem function is one of the greatest challenges facing the Earth’s human population today.

Therefore Linnaeus4D, unlike a "new Eco-Label", or "easy Carbon Calculator" or "new Model/Software for experts", actually aims to change the use-cost, scalability and impact of environmental management. It is a solution to "The Five Grand Challenges" centered on:

  1. Capacity for Prognostic Modeling of Ecosystem Function. Which by some, is considered impossible and by many correctly  impossible with any "off-the-shelve" tools & methods. Ecosystem dynamics present one of the most important systems and critical information gaps in all Climate, Earth Systems models and for industry experts in Agriculture, Toxicology/Remediation, Conservancy, etc. Thus far Ecosystems are modeled mainly with descriptive statistics and at macro levels (e.g. Ecosystem Services); which are good to capture the general state and social value of nature (as does (and badly) "GDP" for the a Economy); but not capable of helping individuals in the ground make better choices based on the ecosystem dynamics. Even experts in Agroecology, are ill equipped given the extreme changes in what have been stable ecosystems. 
  2. Complexity & Citizen Science (non-linear, exploratory, non-reductionist, and more than descriptive), capable of integrating and disaggregating scales and multiple levels in-situ and real-time. For example going from sub-meter to planetary scales; or from impacts to Climate (Macro & Long Term) to impacts in-situ to a specific Tree; or from adding value to a Climate/Policy Expert, or Farmers, or a Young Activists.
  3. Consolidating horizontal and automating vertical industries/processes. Meaning a solution which integrates otherwise segregated processes. Which thus far rather than "achieving scales from hyperspecialization", have been notorious for producing bottlenecks, (only) meetings, repetition and mismanagement instead of adding value to: monitoring,  modeling, dissemination (communications, ESD, policy support), and compliance (eGoverment, certification, labeling, coordinating, etc.) processes. Processes & Industries which are separated not only within their organizations, or between Cities, but further divided by national borders (institutions, regulations, politics, etc). 

As the name suggest, Linnaeus4D answers:    "What would Karl Von Linnaeus do, if he was alive today? 

Surely, he would leverage state-of-the-art technologies to bring ecosystem science to a level where it helps us navigate out of our environmental dilemmas. For example advance his typology of plant species written in paper; towards a dynamic morphological/functional database and simulation system; one which could be both validated and simulated  real-time and in-situ on a phone vis-a-vis a network of systems. Thus Linneaus4D aims to honor the tradition of people like Linne; by continuing to do the work to improve the systemacity, accessibility, quality, and application of environmental science ( specifically regarding the functional dynamics of ecosystems). However we do this with 21st century tools; tools like machine learning,  robotics, complexity science, etc.  And for 21st Century applications, like mitigating the risk of climate change, helping people adapt to extreme events, help optimize natural resource use, help support ecosystems, help reduce species loss, help remediate pollution, etc.

svt 2018 kulturvecka Linnaeus4DFOR EXAMPLE: on Sept 2018, Linnaeus4D brought science ( flood risks / 4D CFD) and some environmental realism into Färgfabriken for "Visions for 2047” | Linnaeus4D was then feat. on SVT Kulturveckan

Thanks to a grant of 2,080 sek from the (Goethe-Institut and AI Artisic Intelligence AB) and a space provided by Färgfabriken a small demo installation was made on Sept 2018; for a expo of “Visions for 2047”. Linnaeus4D there infused some science into the show; for example by showing a 4D map of the flood risks around Färgfabriken and Södermalm. SVT Kultureveckan was kind enough to show/talk a bit about Linnaeus4D.

Some of the more advanced features werent shown, but the impact was clear: Linnaeus4D puts socio-eco-techno scenarios into otherwise onesided and thusly incomplete visions of our future, i.e. those dreaming of a future of high-tech-luxury need not forget, we will still then live and depend on natural systems; and  most likely will be in 2047, facing the effects (like flodding) of our present mismanagement. 

Want to see a demo of Linnaeus4D demonstrated in Uppsala? so do we!!!!, you or your organization can help by making a donation to this effect (below). You can also specify which functions you would like to see.


Where/how can I get it?

You can pre-order now, sponsor a system for a 3rd party or donate.

The lite version, Global Sea Level Risk Simulator is currently available on the Google Play storeLink to Google Play

Note terms and conditions apply (mainly a minimun # of orders before we can sell and support the system). 


How is it different than an academic or specialist tool?

 The first clear departure from similar projects, is in terms of NOT making a distinction between scientific research and application/dissemination. But rather, by design developing a unified and citizen-science based framework where the users are co-developers, i.e. expanding the user base while improving what can be done by modeling software. This is not just a attempt to leverage technology for democracy (like, but the data and validation requirements of such a project make it close to impossible to be done (in good time) by orthodox research/expert groups. 

Furthermore the main benefit of Linnaeus4D is of creating a interface between domains. As such it could be argued to be a data logistics, informatics, modeling integration and full-stack development solution to an otherwise pure-science "type" of problem. Thusly more than a specific advancement within natural science sub-disciplines. Linnaeus4D is pushing the amount of value adding information that can be derived from best-available knowledge and the number of people that can participate.

  • For example, LInnaeus4D has meant work to harmonize data types and spatio-temporal scales vis-a-vis probabilistic (ML) and system dynamics methods; which in turns means development of a simulation framework which can go from submeter to global scales, using different channels of data, different types of data and different techniques for implementing models. Allowing for comparative ecosystem modeling with realistic computational fluid dynamics / submeter and correct GIS in 3D. 
  • For example instead working to innovate the resolution of a CO2 sensor systems / material sciences. Linnaeus4D has meant work to improve the scalability of monitoring technologies. Meaning developing  integrated active monitoring systems which as a package will be as cheap as 50 euro and comparable with specialist tools worth 1000-70000 euro. This matters as indeed“knowledge is the answer to the ecological crisis!’’(Ostrom 1999); from how to reduce pollution, to improve crop growth, validating a "green" label or "greening" project, certifying the CO2 sequestration of a plot , etc. However even at its best, monitoring of natural resource use, climate, biodiversity and ecosystems is a very expensive, specialized and inconsistent endeavour. NOT least the quality and resent errors of GHG scenarios depend largely on our capasity to fill in the gap betwen climate models and crop models, i.e. disagregate between scales and domains. Linnaeus4D is therefore not another model, but a system of models. A system which allows the simulation of otherwise incompatible models and datasets. 

Who is Linnaeus4D?

Felix_Peniche_testing_NDVILinnaeus4D is a project by Felix Peniche (M.Sc. and Full-Stack consultant at Ethos and Lelou ( ).

Felix wrote his MSc thesis on Scientific Quality Controls for Scientific Models at UU. During which period also developed the first open online teaching and learning system for Uppsala University and SLU (CEMUS OPEN University 2010-2013). And was the course coordinator 3 years running at UU for the course "Actors and Strategies for Change; Towards Global Sustainability". Since was also given grants from various research groups, e.g. UU to present scientific papers in Brazil for the International Society of Ecological Economics and on ESD for the WSF / IPCC at Rio+20 in 2012 Brazil. Felix also though this was a heavy load but his little Sister, is not just outdoing but inspiring (see her Linkedin )

Felix mainly works as a full-stack consultant for various green tech and research projects like FUSE, SYSLAB, SYSLA, KHT, EU FP7, PushSweden, Road2COP15 (consortium on NGO in the Bay Area USA), CEFO, Iniciatives of Change, etc.  But perhaps more work has been done in a probono basis / activism. For example:  The PeopleEPA, CEMUS Roots, Feministcommingout campaign of 2011 (San Francisco), reporting on the "faces of Climate Change" (2009), South Central Farm of L.A. (USA 2007) and the Other Campaign / Attenco (2006), active in the Sierra Club (Orange County), etc., etc.  More resently also lectures on Embedded Systems or Systems Science or eGoverment/Citizen Science When possible Felix takes part in compettions and hackatons, e.g. won at BASE20 the 2017 Hackaton "Coding for Humanity" (and lost about 15, but whose counting...).

Who funds Linnaeus4D?

Like most real-innovations (i.e., non off-the-shelf solutions to hard problems) out there, Linnaeus4D is NOT supported by any public or private entity; but is instead the result of a sole person +/- occational help. As such, most everything has been funded mainly by the revenue of Felix consultant work at 

If you would like to support Linnaeus4D, collaborate or testify to the value of this endevour. Do contact Felix.



Strategies and policies at all levels, litigation over environmental damages, insurance for climate related risk, certification brands/schemes, assessments for environmental engineering projects, and private investments will all inexorably be based and tested on warrants based from such “as-is” information.
Linnaeus4D aims to change this by providing robust and easy to use system to test any warrant with the best available data/modeling paradigms.


"producing food while maintaining biodiversity and ecosystem function is one of the greatest challenges facing the Earth’s human population today." - Robertson (2000).

Lal (2004; 2006) and Sanchez (2002) call for a much needed critical appraisal of the agronomic strategies needed to enhance and sustain productivity while mitigating climate change, improving biodiversity, restoring quality of soil and water resources, and improving the environment.





a consistent and growing ‘emissions gap’ between the GHG reductions targets and the level scientifically correlated to stabilization of the global climate, i.e., a inconsistent range of scenarios/strategies. (den Elzen et al., 2011; Höhne et al., 2012; Kartha and Erickson, 2011; Rogelj et al., 2011; UNEP, 2010b, 2011; c.f. Wiseman 2013) This means policy development at all levels, litigation over environmental damages, insurance for climate related risk, certification brands/schemes, assessments for environmental engineering projects, municipal development, political priorities and private investments will all inexorably be based and tested on warrants based from such “as-is” information.


because state-of-the-art scientific models are not good enough. Natarajan 2011, argues: “that a radically different, integrated, approach is required to tackle these challenges and ensure that the modeling remain robust and able to meet future demands. We suggest that Agent Based Modelling (ABM) is a suitable candidate modeling paradigm to achieve an integrated modeling framework.”


“knowledge among companies is so much higher than among city governments that the cities become weak customers. They do not have the capacity to adequately specify their needs or to properly evaluate the offers they receive. This can lead to either bad investment decisions or paralyzed decision making.” (EU Smart Cities Stakeholder Platform 2013 )





   Linnaeus4D will be part of a integrated system

which will include environmental sensors

 stationary, mobile and UAV based