10.5061/DRYAD.26DK2
Bonachela, Juan A.
Princeton University
Pringle, Robert M.
Princeton University
Sheffer, Efrat
Princeton University
Coverdale, Tyler C.
Princeton University
Guyton, Jennifer A.
Princeton University
Caylor, Kelly K.
Mpala Research Center and Wildlife Foundation
Levin, Simon A.
Princeton University
Tarnita, Corina E.
Princeton University
Data from: Termite mounds can increase the robustness of dryland
ecosystems to climatic change
Dryad
dataset
2015
2015-02-09T15:55:35Z
2015-02-09T15:55:35Z
en
https://doi.org/10.1126/science.1261487
83636331 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Self-organized spatial vegetation patterning is widespread and has been
described using models of scale-dependent feedback between plants and
water on homogeneous substrates. As rainfall decreases, these models yield
a characteristic sequence of patterns with increasingly sparse vegetation,
followed by sudden collapse to desert. Thus, the final, spot-like pattern
may provide early warning for such catastrophic shifts. In many arid
ecosystems, however, termite nests impart substrate heterogeneity by
altering soil properties, thereby enhancing plant growth. We show that
termite-induced heterogeneity interacts with scale-dependent feedbacks to
produce vegetation patterns at different spatial grains. Although the
coarse-grained patterning resembles that created by scale-dependent
feedback alone, it does not indicate imminent desertification. Rather,
mound-field landscapes are more robust to aridity, suggesting that
termites may help stabilize ecosystems under global change.
Biomass
dataPhoto--KLEEC2926KLEEC2926.tifPhoto--KLEEC2949KLEEC2949.tifPhoto--KLEEC2954aKLEEC2954a.tifPhoto--KLEEC2954bKLEEC2954b.tifPhoto--KLEEC3103KLEEC3103.tifPhoto--KLEEC3109KLEEC3109.tifPhoto--KLEEC3591KLEEC3591.tifPhoto--KLEEN2208KLEEN2208.tifPhoto--KLEES3428bKLEES3428b.tifPhoto--KLEES3436KLEES3436.tifPhoto--KLEES3532KLEES3532.tifPhoto--KLEES3543aKLEES3543a.tifPhoto--KLEES3543bKLEES3543b.tifPattern_Fourier_Transform_analysis_KenyaPicturesPatternFTanalysis_KenyaPictures_forArchive_Science.xlsxFourierAnalysisModifiedModel_P_05820modifiedModel-binary06FourierAnalysisModifiedModel_P_06180modifiedModel-binary06FourierAnalysisModifiedModel_P_06540modifiedModel-binary06FourierAnalysisModifiedModel_P_06900modifiedModel-binary06FourierAnalysisModifiedModel_P_07260modifiedModel-binary06FourierAnalysisModifiedModel_P_07620modifiedModel-binary06FourierAnalysisModifiedModel_P_07980modifiedModel-binary06FourierAnalysisModifiedModel_P_08340modifiedModel-binary06FourierAnalysisModifiedModel_P_08700modifiedModel-binary06FourierAnalysisModifiedModel_P_09060modifiedModel-binary06FourierAnalysisModifiedModel_P_09420modifiedModel-binary06FourierAnalysisModifiedModel_P_09780modifiedModel-binary06Black&white--KLEEC2926KLEEC2926BW.tifBlack&white--KLEEC2949BWKLEEC2949BW.tifBlack&white--KLEEC2954aBWKLEEC2954aBW.tifBlack&white--KLEEC2954bBWKLEEC2954bBW.tifBlack&white--KLEEC3103BWKLEEC3103BW.tifBlack&white--KLEEC3109BWKLEEC3109BW.tifBlack&white--KLEEC3591BWKLEEC3591BW.tifBlack&white--KLEEN2208BWKLEEN2208BW.tifBlack&white--KLEES3428bBWKLEES3428bBW.tifBlack&white--KLEES3436BWKLEES3436BW.tifBlack&white--KLEES3443BWKLEES3443BW.tifBlack&white--KLEES3532BWKLEES3532BW.tifBlack&white--KLEES3543aBWKLEES3543aBW.tifBlack&white--KLEES3543bBWKLEES3543bBW.tif
East Kenya