Trees, forests and water: Cool insights for a hot world

Ellison, David; Morris, Cindy E.; Locatelli, Bruno; Sheil, Douglas; Cohen, Jane Maslow; Murdiyarso, Daniel; Gutierrez, Victoria; Noordwijk, Meine van; Creed, Irena F.; Pokorný, Jan; Gaveau, David; Spracklen, Dominick V.; Bargués‐Tobella, Aida; Ilstedt, Ulrik; Teuling, Adriaan J.; Gebrehiwot, Solomon Gebreyohannis; Sands, David C.; Muys, Bart; Verbist, Bruno; Springgay, Elaine; Sugandi, Yulia; Sullivan, Caroline A

doi:10.1016/j.gloenvcha.2017.01.002

Cited by 729 publications

(518 citation statements)

References 113 publications

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“…This paper is a response to the "call to action" raised in the review by Ellison et al (2017), which highlighted an urgent need to integrate forest effects on energy balances, hydrology, and climate into policy actions regarding climate change adaptation and mitigation. One of goals of this paper is to foster interdisciplinary discussions on alternative information sources, such as the existing NFI data, to enhance the representation of forest structures in different land modeling frameworks.…”

Section: Discussionmentioning

confidence: 99%

An enhanced forest classification scheme for modeling vegetation–climate interactions based on national forest inventory data

et al. 2018

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Abstract. Forest management affects the distribution of tree species and the age class of a forest, shaping its overall structure and functioning and in turn the surface-atmosphere exchanges of mass, energy, and momentum. In order to attribute climate effects to anthropogenic activities like forest management, good accounts of forest structure are necessary. Here, using Fennoscandia as a case study, we make use of Fennoscandic National Forest Inventory (NFI) data to systematically classify forest cover into groups of similar aboveground forest structure. An enhanced forest classification scheme and related lookup table (LUT) of key forest structural attributes (i.e., maximum growing season leaf area index (LAI max ), basal-area-weighted mean tree height, tree crown length, and total stem volume) was developed, and the classification was applied for multisource NFI (MS-NFI) maps from Norway, Sweden, and Finland. To provide a complete surface representation, our product was integrated with the European Space Agency Climate Change Initiative Land Cover (ESA CCI LC) map of present day land cover (v.2.0.7). Comparison of the ESA LC and our enhanced LC products (https://doi.org/10.21350/7zZEy5w3) showed that forest extent notably (κ = 0.55, accuracy 0.64) differed between the two products. To demonstrate the potential of our enhanced LC product to improve the description of the maximum growing season LAI (LAI max ) of managed forests in Fennoscandia, we compared our LAI max map with reference LAI max maps created using the ESA LC product (and related cross-walking table) and PFT-dependent LAI max values used in three leading land models. Comparison of the LAI max maps showed that our product provides a spatially more realistic description of LAI max in managed Fennoscandian forests compared to reference maps. This study presents an approach to account for the transient nature of forest structural attributes due to human intervention in different land models.

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Section: Discussionmentioning

confidence: 99%

An enhanced forest classification scheme for modeling vegetation–climate interactions based on national forest inventory data

et al. 2018

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“…Given the global movement to restore forests and landscapes, in the future, this forest-transition stage will deserve more effort, especially in delivering ecosystem services in highly populated areas. The recent surge in interest in a two-way relationship between vegetation and rainfall (Ellison et al 2017) prompts further scrutiny of the sentinel landscape portfolio to include sources and sink areas for terrestrially recycled atmospheric moisture.…”

Section: Discussionmentioning

confidence: 99%

Tropical forest-transition landscapes: a portfolio for studying people, tree crops and agro-ecological change in context

Dewi

Noordwijk

Zulkarnain

et al. 2017

International Journal of Biodiversity Science, Ecosystem Servic

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Nudging the development trajectory of tropical landscapes towards sustainability requires a global commitment and policies that take diverse contexts and forest transitions into account. Out-scaling and upscaling landscape-level actions to achieve sustainable development goals globally need to be based on understanding of extrapolation domains and interconnectivity of products and services. We evaluated three portfolios of tropical landscape observatories and quantified extrapolation domains across ecological zones, stages of forest transition, human development index (HDI), population density and potential prominence of four dominant tropical tree crops (arabica coffee, cacao, rubber and oil palm). The ASB Partnership for Tropical Forest Margins portfolio was focussed on active humid forest margins and the Poverty and Environment Network on early stages of forest transition. The portfolio of sentinel landscapes of the Forests, Trees and Agroforestry (FTA) research programme provides a 5% sample of pantropical area, 8% of people, 9% of tree cover and 10-12% of potential tree crop presence, with quantified biases across zones, transition stages and HDI. In the 'water tower' configuration, relatively high population density coincides with biodiversity, coffee expansion and contested ecosystem services. The extrapolation domain of the FTA portfolio includes trade-off (tree loss) and synergy (restoration) phases of tropical forest transition. ARTICLE HISTORY

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“…Led by concerns about forest growth and productivity and carbon storage being affected by changing climates in tropical regions (e.g., Gatti et al, 2014;Doughty et al, 2015), the issues of water yield for forest-dominated landscapes are only beginning to play out. These issues are significant worldwide, including areas such as Europe (e.g., Ellison et al, 2012Ellison et al, , 2017 where water yield from forests has long been a given. Recent research has highlighted the role of forests on both the supply and demand side of hydrologic budgets.…”

Section: Watermentioning

confidence: 99%