David Wårlind

4.9k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

David Wårlind is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, David Wårlind has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 10 papers in Ecology. Recurrent topics in David Wårlind's work include Plant Water Relations and Carbon Dynamics (10 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). David Wårlind is often cited by papers focused on Plant Water Relations and Carbon Dynamics (10 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). David Wårlind collaborates with scholars based in Sweden, Germany and Australia. David Wårlind's co-authors include Benjamin Smith, Almut Arneth, Thomas Hickler, Sönke Zaehle, Paul Leadley, Ying‐Ping Wang, Benjamin Z. Houlton, Stefan Olin, Guy Schurgers and M. K. van der Molen and has published in prestigious journals such as Geophysical Research Letters, Nature Geoscience and Global Biogeochemical Cycles.

In The Last Decade

David Wårlind

28 papers receiving 1.4k citations

Hit Papers

Implications of incorporating N cycling and N limitations... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Wårlind Sweden 15 951 414 386 280 211 31 1.4k
Mitsuru Hirota Japan 19 751 0.8× 420 1.0× 803 2.1× 415 1.5× 242 1.1× 55 1.6k
Mengben Wang China 17 569 0.6× 402 1.0× 206 0.5× 286 1.0× 192 0.9× 43 1.2k
Danielle D. Ignace United States 12 825 0.9× 217 0.5× 332 0.9× 178 0.6× 340 1.6× 18 1.2k
Qinghai Song China 24 1.0k 1.1× 278 0.7× 502 1.3× 417 1.5× 302 1.4× 87 1.6k
Shengwei Zong China 18 488 0.5× 324 0.8× 273 0.7× 184 0.7× 143 0.7× 51 892
Margot W. Kaye United States 22 979 1.0× 406 1.0× 519 1.3× 314 1.1× 729 3.5× 56 1.6k
Wanda De Keersmaecker Belgium 15 1.0k 1.1× 248 0.6× 640 1.7× 214 0.8× 341 1.6× 24 1.5k
Toshiyuki Ohtsuka Japan 22 430 0.5× 320 0.8× 516 1.3× 229 0.8× 264 1.3× 69 1.2k
Huaping Zhong China 16 616 0.6× 207 0.5× 487 1.3× 301 1.1× 261 1.2× 35 1.2k
Fangyue Zhang China 17 551 0.6× 174 0.4× 392 1.0× 446 1.6× 296 1.4× 31 1.1k

Countries citing papers authored by David Wårlind

Since Specialization
Citations

This map shows the geographic impact of David Wårlind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Wårlind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wårlind more than expected).

Fields of papers citing papers by David Wårlind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Wårlind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Wårlind. The network helps show where David Wårlind may publish in the future.

Co-authorship network of co-authors of David Wårlind

This figure shows the co-authorship network connecting the top 25 collaborators of David Wårlind. A scholar is included among the top collaborators of David Wårlind based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Wårlind. David Wårlind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Egerer, Sabine, David M. Lawrence, Peter Lawrence, et al.. (2025). Forestation in CMIP6: wide model spread in tree cover and land carbon uptake. Environmental Research Letters. 20(5). 54033–54033. 1 indexed citations
2.
Havermann, Felix, Fei Luo, Thomas Raddatz, et al.. (2025). Remote carbon cycle changes are overlooked impacts of land cover and land management changes. Earth System Dynamics. 16(2). 631–666.
3.
Paula, Mateus Dantas de, Matthew Forrest, David Wårlind, et al.. (2025). Including the phosphorus cycle into the LPJ-GUESS dynamic global vegetation model (v4.1, r10994) – global patterns and temporal trends of N and P primary production limitation. Geoscientific model development. 18(7). 2249–2274. 1 indexed citations
4.
Ma, Jianyong, Almut Arneth, Benjamin Smith, et al.. (2025). Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1). Geoscientific model development. 18(10). 3131–3155.
5.
Lagergren, Fredrik, David Wårlind, Paul Miller, et al.. (2024). Quantifying the Impact of Climate Change and Forest Management on Swedish Forest Ecosystems Using the Dynamic Vegetation Model LPJ‐GUESS. Earth s Future. 13(1). 3 indexed citations
6.
Wårlind, David, et al.. (2024). Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region. Communications Earth & Environment. 5(1). 4 indexed citations
7.
Xing, Hongtao, Chris Smith, Enli Wang, Ben Macdonald, & David Wårlind. (2023). Modelling nitrous oxide emissions: comparing algorithms in six widely used agro-ecological models. Soil Research. 61(6). 523–541. 3 indexed citations
8.
Anthoni, Peter, David Wårlind, Stefan Olin, et al.. (2022). LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism. Geoscientific model development. 15(17). 6709–6745. 24 indexed citations
9.
Boysen, Lena, Victor Brovkin, David Wårlind, et al.. (2021). Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences. Environmental Research Letters. 16(7). 74030–74030. 6 indexed citations
10.
Wårlind, David, et al.. (2021). Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS. Biogeosciences. 18(20). 5767–5787. 15 indexed citations
12.
Peano, Daniele, Deborah Hemming, Stefano Materia, et al.. (2021). Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season. Biogeosciences. 18(7). 2405–2428. 23 indexed citations
13.
Davies‐Barnard, Taraka, Johannes Meyerholt, Sönke Zaehle, et al.. (2020). Nitrogen cycling in CMIP6 land surface models: progress and limitations. Biogeosciences. 17(20). 5129–5148. 81 indexed citations
14.
Olin, Stefan, et al.. (2017). Global terrestrial N2O budget for present and future. EGU General Assembly Conference Abstracts. 17872. 1 indexed citations
15.
Walker, Anthony P., Sönke Zaehle, Belinda E. Medlyn, et al.. (2015). Predicting long‐term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ?. Global Biogeochemical Cycles. 29(4). 476–495. 84 indexed citations
16.
Olin, Stefan, Guy Schurgers, Mats Lindeskog, et al.. (2015). Modelling the response of yields and tissue C : N to changes in atmospheric CO 2 and N management in the main wheat regions of western Europe. Biogeosciences. 12(8). 2489–2515. 54 indexed citations
17.
Olin, Stefan, Mats Lindeskog, Thomas A. M. Pugh, et al.. (2015). Soil carbon management in large-scale Earth system modelling: implications for crop yields and nitrogen leaching. Earth System Dynamics. 6(2). 745–768. 50 indexed citations
18.
Wårlind, David, Benjamin Smith, Thomas Hickler, & Almut Arneth. (2014). Nitrogen feedbacks increase future terrestrial ecosystem carbon uptake in an individual-based dynamic vegetation model. Biogeosciences. 11(21). 6131–6146. 61 indexed citations
19.
Smith, Benjamin, David Wårlind, Almut Arneth, et al.. (2014). Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model. Biogeosciences. 11(7). 2027–2054. 489 indexed citations breakdown →
20.
Fleischer, Katrin, David Wårlind, M. K. van der Molen, et al.. (2013). Evaluating the N-cycle module of LPJ-GUESS at the site-scale. Utrecht University Repository (Utrecht University). 15. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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