Jonathan C. Doelman

Mr. Jonathan C. Doelman


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2021 in Global Change Biology
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Journal Article
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SRStephanie Roe
Stephanie Roe
CSCharlotte Streck
Charlotte Streck
Robert BeachRobert Beach
Robert Beach
JBJonah Busch
Jonah Busch
MCMelissa Chapman
Melissa Chapman
DLDeborah Lawrence
Deborah Lawrence
Land‐based climate mitigation measures have gained significant attention and importance in public and private sector climate policies. Building on previous studies, we refine and update the mitigation potentials for 20 land‐based measures in >200 countries and five regions, comparing “bottom‐up” sectoral estimates with integrated assessment models (IAMs). We also assess implementation feasibility at the country level. Cost‐effective (available up to $100/tCO2eq) land‐based mitigation is 8–13.8 GtCO2eq yr−1between 2020 and 2050, with the bottom end of this range representing the IAM median and the upper end representing the sectoral estimate. The cost‐effective sectoral estimate is about 40% of available technical potential and is in line with achieving a 1.5°C pathway in 2050. Compared to technical potentials, cost‐effective estimates represent a more realistic and actionable target for policy. The cost‐effective potential is approximately 50% from forests and other ecosystems, 35% from agriculture, and 15% from demand‐side measures. The potential varies sixfold across the five regions assessed (0.75–4.8 GtCO2eq yr−1) and the top 15 countries account for about 60% of the global potential. Protection of forests and other ecosystems and demand‐side measures present particularly high mitigation efficiency, high provision of co‐benefits, and relatively lower costs. The feasibility assessment suggests that governance, economic investment, and socio‐cultural conditions influence the likelihood that land‐based mitigation potentials are realized. A substantial portion of potential (80%) is in developing countries and LDCs, where feasibility barriers are of greatest concern. Assisting countries to overcome barriers may result in significant quantities of near‐term, low‐cost mitigation while locally achieving important climate adaptation and development benefits. Opportunities among countries vary widely depending on types of land‐based measures available, their potential co‐benefits and risks, and their feasibility. Enhanced investments and country‐specific plans that accommodate this complexity are urgently needed to realize the large global potential from improved land stewardship.

26 October 2019 in Global Change Biology
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Journal Article
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JDJonathan C. Doelman
Jonathan C. Doelman
ESElke Stehfest
Elke Stehfest
DVDetlef P. van Vuuren
Detlef P. van Vuuren
ATAndrzej Tabeau
Andrzej Tabeau
AHAndries F Hof
Andries F Hof
PLPaul Lucas
Paul Lucas

1 January 2018 in Global Environmental Change
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Journal Article
Closed access
JDJonathan C. Doelman
Jonathan C. Doelman
ESElke Stehfest
Elke Stehfest
ATAndrzej Tabeau
Andrzej Tabeau
HMHans Van Meijl
Hans Van Meijl
LLLuis Lassaletta
Luis Lassaletta
DVDetlef P. van Vuuren
Detlef P. van Vuuren

3 November 2019 in Global Change Biology
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Journal Article
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ASAafke Schipper
Aafke Schipper
JHJelle P. Hilbers
Jelle P. Hilbers
JMJohan R. Meijer
Johan R. Meijer
LALaura H. Antão
Laura H. Antão
ABAna Benítez‐López
Ana Benítez‐López
MHMark Huijbregts
Mark Huijbregts
Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio‐economic pathways (SSPs) combined with different levels of climate change (according to representative concentration pathways [RCPs]): a future oriented towards sustainability (SSP1xRCP2.6), a future determined by a politically divided world (SSP3xRCP6.0) and a future with continued global dependency on fossil fuels (SSP5xRCP8.5). To this end, we first updated the GLOBIO model, which now runs at a spatial resolution of 10 arc‐seconds (~300 m), contains new modules for downscaling land use and for quantifying impacts of hunting in the tropics, and updated modules to quantify impacts of climate change, land use, habitat fragmentation and nitrogen pollution. We then used the updated model to project terrestrial biodiversity intactness from 2015 to 2050 as a function of land use and climate changes corresponding with the selected scenarios. We estimated a global area‐weighted mean MSA of 0.56 for 2015. Biodiversity intactness declined in all three scenarios, yet the decline was smaller in the sustainability scenario (−0.02) than the regional rivalry and fossil‐fuelled development scenarios (−0.06 and −0.05 respectively). We further found considerable variation in projected biodiversity change among different world regions, with large future losses particularly for sub‐Saharan Africa. In some scenario‐region combinations, we projected future biodiversity recovery due to reduced demands for agricultural land, yet this recovery was counteracted by increased impacts of other pressures (notably climate change and road disturbance). Effective measures to halt or reverse the decline of terrestrial biodiversity should not only reduce land demand (e.g. by increasing agricultural productivity and dietary changes) but also focus on reducing or mitigating the impacts of other pressures.

1 September 2019 in Global Environmental Change
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Journal Article
Open access
NFN. Fitton
N. Fitton
PAPeter Alexander
Peter Alexander
NAN. Arnell
N. Arnell
BBB. Bajzelj
B. Bajzelj
KCK. Calvin
K. Calvin
PSPete Smith
Pete Smith

1 January 2019 in Global Environmental Change
Verified
Journal Article
Closed access
VDVassilis Daioglou
Vassilis Daioglou
JDJonathan C. Doelman
Jonathan C. Doelman
BWBirka Wicke
Birka Wicke
AFAndre Faaij
Andre Faaij
DVDetlef P. van Vuuren
Detlef P. van Vuuren