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      The environmental drivers of tree cover and forest–savanna mosaics in Southeast Asia

      1 , 2 , 3 , 4 , 1
      Ecography
      Wiley

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          Abstract

          Forest–savanna mosaics exist across all major tropical regions. Yet, the influence of environmental factors on the distribution of these mosaics is not well explored, limiting our understanding of the environmental constraints on savannas especially in Southeast Asia, where most savannas exist in mosaics. Despite clear structural and functional characteristics indicative of savannas, most SE Asian savannas continue to be classified as forest. This designation is problematic because SE Asian savannas are threatened by both fragmentation and forest‐centric management practices. By studying forest–savanna mosaics across SE Asia, we aimed to parse out how landscape mosaics of forest and savanna may be constrained by fire, climate and soil characteristics. We used remotely sensed data to characterize the distribution of tree cover and forest–savanna mosaics. Using regression models, we quantified the relative effects of precipitation, fire frequency, seasonality and soil characteristics on average tree cover and landscape patchiness. We found that low tree cover, indicative of savannas, occurs in drier, seasonal subregions that experience frequent fire. Further, our results demonstrate that fire and precipitation strongly shape landscape patchiness. Landscapes were patchiest in subregions with low precipitation and intermediate fire frequency. These results demonstrate that the environmental factors important in delineating the distribution of savannas globally shape the distribution of tree cover and landscape patchiness across SE Asia. Fire especially drives patterns of tree cover across scales. In a region where fire suppression is a common management strategy, our results suggest that further research studying vegetation response to fire and fire suppression is needed to improve management and conservation of these mosaic landscapes. More broadly, this work demonstrates a useful approach for studying the environmental drivers that influence the distribution of forest–savanna mosaics.

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          High-resolution global maps of 21st-century forest cover change.

          Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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            Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

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              Terrestrial Ecoregions of the World: A New Map of Life on Earth

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                Author and article information

                Contributors
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                Journal
                Ecography
                Ecography
                Wiley
                0906-7590
                1600-0587
                August 2022
                June 05 2022
                August 2022
                : 2022
                : 8
                Affiliations
                [1 ] Dept of Geography, Univ. of British Columbia Vancouver BC Canada
                [2 ] Dept of Natural Resources and Enviromental Science, Univ. of Nevada Reno Reno NV USA
                [3 ] Dept of Ecology and Evolutionary Biology, Yale Univ. New Haven CT USA
                [4 ] Yale Inst. for Biospheric Studies, Yale Unv. New Haven CT USA
                Article
                10.1111/ecog.06280
                c3c6ec78-0055-45d0-b093-bbb4361b4ed8
                © 2022

                http://creativecommons.org/licenses/by/3.0/

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