Strategic roadmap to assess forest vulnerability under air pollution and climate change

作者：Alessandra De Marco, Pierre Sicard, Zhaozhong Feng, Evgenios Agathokleous, Rocı́o Alonso, Valda Araminienė, Algirdas Augustatis, Ovidiu Nicolae Badea, James C. Beasley, Cristina Branquinho, Viktor J. Bruckman, Alessio Collalti, Rakefet David‐Schwartz, Marisa Domingos, Enzai Du, Héctor García Gómez, Shoji Hashimoto, Yasutomo Hoshika, Tamara Jakovljević, Steven G. McNulty, Elina J. Oksanen, Yusef Omidi Khaniabadi, Anne‐Katrin Prescher, Costas J. Saitanis, Hiroyuki Sase, Andreas Schmitz, Gabriele von Voigt, Makoto Watanabe, Michael D. Wood, Mikhail V. Kozlov, Elena Paoletti · 发表于：Global Change Biology · 年份：2022 · DOI：10.1111/gcb.16278 · 被引用次数：68 · 研究领域：Plant responses to elevated CO2、Fire effects on ecosystems、Plant Water Relations and Carbon Dynamics

Although it is an integral part of global change, most of the research addressing the effects of climate change on forests have overlooked the role of environmental pollution. Similarly, most studies investigating the effects of air pollutants on forests have generally neglected the impacts of climate change. We review the current knowledge on combined air pollution and climate change effects on global forest ecosystems and identify several key research priorities as a roadmap for the future. Specifically, we recommend (1) the establishment of much denser array of monitoring sites, particularly in the South Hemisphere; (2) further integration of ground and satellite monitoring; (3) generation of flux-based standards and critical levels taking into account the sensitivity of dominant forest tree species; (4) long-term monitoring of N, S, P cycles and base cations deposition together at global scale; (5) intensification of experimental studies, addressing the combined effects of different abiotic factors on forests by assuring a better representation of taxonomic and functional diversity across the ~73,000 tree species on Earth; (6) more experimental focus on phenomics and genomics; (7) improved knowledge on key processes regulating the dynamics of radionuclides in forest systems; and (8) development of models integrating air pollution and climate change data from long-term monitoring programs.