Global fresh water demand will outstrip supply by 40% by 2030, say experts
Global fresh water demand will outstrip supply by 40% by 2030, say experts
40% huh? Where have I heard that percentage before...
Capital will literally destroy this planet in order to "profit" from cars and carnism.
Well, yes, but many regions that are going to have water supply issues aren't near the animal ag farms. Closing a dairy farm in New Hampshire isn't going to help things in central Africa. The bigger culprit is Climate Change bringing dry air flows to areas that previously had more humidity and precipitation.
Closing a dairy farm does actually help. It means less CO2 in the air, less climate change, and thus less dry air in central Africa.
For the water itself you are correct, but animal farms are very much a reason of climate change.
Well, and people will keep buying said things. Billionaires shouldn't exist, and they're easy to blame, but there's not that many of them. They definitely aren't personally eating that much meat, at least.
unsurprisingly, this "research" is also infected by poore-nemecek 2018
To clarify what this user is referring to, Poore & Nemecek 2018 is a recent, widely cited meta-analysis covering over 1530 studies assessing the environmental impacts of food. It's published in one of the world's top academic journals – Science – and authored by Dr. Joseph Poore, the director of the University of Oxford’s food sustainability program, and Dr. Tomas Nemecek, an expert on agroecology and life cycle assessments from the Zurich University of Applied Sciences.
They somehow constantly appear like a spectre whenever this study gets brought up to try to spread FUD about it through vague and unsubstantiated nonsense. They do this because it's extremely compelling, effectively unambiguous evidence that many animal products such as dairy are abysmal for the climate ("because it's devastating to my case!"). I highly encourage anyone interested to read it for themselves. The article is paywalled, but Dr. Poore hosts it for free through their personal website, so you don't have to take either of our words for it.
Edit: the paper they quote (but conspicuously don't link to) below to try to refute this methodology is itself a meta-analysis of 369 LCA studies in the same vein as Poore & Nemecek. I can't; my sides are in orbit. Edit 2: For anyone wanting to read it in full, Lancaster University hosts Clune, Crossin & Verghese 2015 legally and for free as well, so again, you don't have to take either of our words for it.
First, it is often cited that LCA results should not be compared (Desjardins et al., 2012; Foster et al., 2006; McAuliffe et al., 2016; Röös et al., 2013) due to variation in methodology choices, functional units, as well as temporal and regional differences2. Second, no single comprehensive review was identified that adequately covers the breadth of fresh foods available to consumers and caterers. As Helle et al. (2013, p.12643) state ‘data availability and quality remain primary obstacles in diet-level environmental impact assessment’, while Pulkkinen et al. (2015) calls for the creation of a database that communicates data quality, uncertainty and variability to reliably differentiate between the GWP of food types. Previous studies have compiled LCA data to compare different foods (e.g. Audsley et al., 2009; Berners-Lee et al., 2012; Bradbear and Friel, 2011; de Vries and de Boer, 2010; Foster et al., 2006; Nijdam et al., 2012; Sonesson et al., 2010; Roy et al., 2009). While these are useful attempts, the identified studies are inadequate in the coverage of fresh foods available. Environmental Product Declarations (EPDs) attempt to inform consumers of the environmental impacts (carbon, water and ecological footprint) of specific foods, however they also fall short in breadth of items covered at present. The most comprehensive attempt at carbon footprint labelling was performed by Tesco (2012), however failed to label key categories such as fresh fish, pork, lamb or beef before finishing in 2012 due to the scale of the labelling scheme and a lack of participation from other retailers (Head et al., 2013). Third, studies that do compare results may often present singular figures. Peters et al. (2010) and Röös et al. (2011) argue that a range of impacts should be reported from LCA’s to better represent the variety of environmental impacts, as opposed to a singular figure. Finally, there is a lack of synthesised open access LCA data in the public domain available to consumers to inform decision-making.
It's exceptionally funny to me that you didn't link to the study you're quoting, because if you did, people would find out that you're quoting a systematic review & meta-analysis of 369 LCA studies in the same vein as Poore & Nemecek 2018 did with 1530 LCA studies.
The ENTIRE POINT of the study you just quoted was that "there is a lack of synthesised open access LCA data in the public domain available to consumers to inform decision-making. Therefore this paper presents a systematic literature review and meta-analysis of food LCA studies in the last 15 years to assess the GWP of fresh food." Thus, they appropriately synthesized the data using a meta-analysis. You've literally just disproven your own point. I hope you don't actually believe that people reading this comment will fall for this.
I'm not trying to taunt you, rather I'm being completely serious: did you read the study you just linked beyond what you quoted?
they were honest enough to acknowledge that these studies varied so widely in methodology that combining them would be bad science, but went on to do it anyway. poore-nemecek doesn't even acknowledge their faux pas.
That's your characterization here? That's the level of bad faith you're acting on? That they spent an entire paragraph right upfront citing other papers talking about potential pitfalls for the express purpose of intentionally implicating themselves before doing it? Are you high? Or just deeply scientifically illiterate?
The entire point of that paragraph is to show that there are pitfalls if taking a naïve approach, but that an appropriately thought-out meta-analysis can meaningfully synthesize LCAs into one set of data, which they go on to explain in their 'Methodology'.
that doesn't make their methodology any good.
Is your pattern of posting multiple replies to the same comment some kind of strategy? One reply per user per comment (sometimes two in weird, extenuating circumstances) isn't enforced, but it's the norm because doing what you do makes the comment chain extremely chaotic and messy. I can't imagine you're trying to use the comment chain structure itself to muddy the waters, are you? Surely this can't be an ideal experience for you either?
this doesn't address what I said. it's a pure red herring attacking my style instead of the facts.
I was just genuinely curious because I've seen this pattern from you a lot before, and it's highly unconventional. I latched onto this comment because I think it had the least salient/debatable/falsifiable point, namely "their methodology isn't good".
You've accused me elsewhere of appealing to scientific authority (which, yes, neither of us are qualified or experienced in this field in any way; we have to weigh what the relevant experts say and do), then you quote an authority to show that this is actually allegedly bad. But then that same authority says actually, no, this is good. And if you're referring to the papers they cite in that paragraph as your sources of choice (still an appeal to authority), then you now have the challenge of explaining why those numerous authors whose papers are cited haven't rebutted not now just one (Poore & Nemecek 2018) but two meta-analyses synthesizing hundreds of LCAs.
I strongly prefer to keep each comment to one idea. it helps break up Gish gallops. if you don't like my style, you're free to block me and remove me from you Lemmy experience.
your personal attacks are inappropriate.
your accusation of bad faith is, itself, bad faith
it is not compelling, because the LCA references explicitly say that they cannot be combined with other LCA studies. poore-nemecek ignores this guidance and draws hyperbolic conclusions.
This is the FUD I was referring to. I've asked you before to point to even a single paper responding to this extremely high-profile meta-analysis with something even resembling this vague concern; you haven't been able to turn one up. This should be trivial, because an LCA is an ISO standard, and thus failure to comply with it would be unambiguous for the hundreds if not thousands of scientists familiar with LCAs who have surely read and even cited this paper. I've even pointed out that the animal agriculture industry would be champing at the bit to refute a paper like this and has millions of dollars and teams of scientists to throw at the problem. But you can't, because one doesn't exist.
Your entire argument boils down to "Um, actually, meta-analyses are bad science", which is completely hilarious. Hell, assuming Poore & Nemecek, the peer reviewers, and the entire scientific community ignored this alleged basic oversight, I've pointed out to you multiple times that you yourself could author a paper rebutting this and get it published if what you're saying is even remotely credible. But it isn't. Because you have no idea what you're talking about regarding this paper except to the extent that you're lying.
Edit: I've asked you this before: please, learn how to edit your comments so you don't have to respond to this one with three separate comments.
calling me a liar and appealing to authority doesn't change the truth of what I'm saying.
LCA results can have high uncertainties because of the large amounts of measured and simulated data and the simplified modeling of complex en- vironmental cause-effect chains. Recent studies have highlighted the contribution that system as- sumptions and value choices can also make to overall uncertainty (36, 37). A number of quantita- tive uncertainty assessments are available (38) butare rarely used in practice. One of the key questions is, how much uncertainty is acceptable, depending on the application? In some cases, rough estimates of input values can be enough to identify supply- chain hotspots (39), but for other applications, such as product comparisons (37), the demands for more accurate values are higher. For some im- pact categories such as toxicity, very large differ- ences in inventory results are needed to statistically differentiate product systems, whereas for other categories, differences of a factor of two or less may be enough (40). LCA practitioners should al- ways attempt to manage the decision-maker’s expectations and clarify that LCA is not always a tool to provide a single answer, but rather one that permits comprehensive understanding of a problem and its possible solutions.
Linking to my comment replying to the exact same comment you made elsewhere. This is really funny.
I've asked you before to point to even a single paper responding to this extremely high-profile meta-analysis with something even resembling this vague concern;
the references themselves say this explicitly.
So what I'm hearing here is that despite this being an ISO standard, thereby rendering this trivially obvious even to someone with zero background in this field:
I'm sorry for "appealing to authority" when all you have to offer is the same flimsy, nonsensical vagary over and over again. If you'll recall, I even asked you last time to point to one of the references calling what Poore & Nemecek did here unjustified, and you refused, likely because you've never actually read a single one of the 40 referenced papers in your life.
your characterization of my expertise is bare ad hominem. what I'm saying is true or false regardless of your opinion of me and my expertise.
