Abstract

Rainforests are among the most charismatic as well as the most endangered ecosystems of the world. However, although the effects of climate change on tropical forests resilience is a focus of intense research, the conditions for their equally impressive temperate counterparts remain poorly understood, and it remains unclear whether tropical and temperate rainforests have fundamental similarities or not. Here we use new global data from high precision laser altimetry equipment on satellites to reveal for the first time that across climate zones ‘giant forests’ are a distinct and universal phenomenon, reflected in a separate mode of canopy height (~40 m) worldwide. Occurrence of these giant forests (cutoff height > 25 m) is negatively correlated with variability in rainfall and temperature. We also demonstrate that their distribution is sharply limited to situations with a mean annual precipitation above a threshold of 1,500 mm that is surprisingly universal across tropical and temperate climates. The total area with such precipitation levels is projected to increase by ~4 million km2 globally. Our results thus imply that strategic management could in principle facilitate the expansion of giant forests, securing critically endangered biodiversity as well as carbon storage in selected regions.

Highlights

  • Tropical and temperate rainforest provide important ecosystem services to humanity (Millennium Ecosystem Assessment, 2005)

  • We further investigated the distribution of giant forests by climatic regions using the FAO map of thermal climate zones of the world

  • We examine the frequency distributions of the maximum canopy height at different rainfall levels worldwide (Figure 1)

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Summary

Introduction

Tropical and temperate rainforest provide important ecosystem services to humanity (Millennium Ecosystem Assessment, 2005). The mean annual water balance (WB) data from the GNV 183 dataset at 0.5° resolution (http://geonet work.grid.unep.ch/) were used to estimate net precipitation. To test if our results are dependent of precipitation data used, and if the use of filter in the height product can have major influences, we repeated our analyses using the mean annual precipitation data during 1950–2000 from the Climate Research Unit

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