title: Empirical assessment of state-and-transition models with a long-term vegetation record from the Sonoran Desert.
abstract: Resilience-based frameworks, including state-and-transition models (STM), are being increasingly called upon to inform policy and guide ecosystem management, particularly in rangelands. Yet, multiple challenges impede their effective implementation: (1) paucity of empirical tests of resilience concepts, such as alternative states and thresholds, and (2) heavy reliance on expert models, which are seldom tested against empirical data. We developed an analytical protocol to identify unique plant communities and their transitions, and applied it to a long-term vegetation record from the Sonoran Desert (1953-2009). We assessed whether empirical trends were consistent with resilience concepts, and evaluated how they may inform the construction and interpretation of expert STMs. Seven statistically distinct plant communities were identified based on the cover of 22 plant species in 68 permanent transects. We recorded 253 instances of community transitions, associated with changes in species composition between successive samplings. Expectedly, transitions were more frequent among proximate communities with similar species pools than among distant communities. But unexpectedly, communities and transitions were not strongly constrained by soil type and topography. Only 18 transitions featured disproportionately large compositional turnover (species dissimilarity ranged between 0.54 and 0.68), and these were closely associated with communities that were dominated by the common shrub (burroweed, Haplopappus tenuisecta); indicating that only some, and not all, communities may be prone to large compositional change. Temporal dynamics in individual transects illustrated four general trajectories: stability, nondirectional drift, reversibility, and directional shifts that were not reversed even after 2-3 decades. The frequency of transitions and the accompanying species dissimilarity were both positively correlated with fluctuation in precipitation, indicating that climatic drivers require more attention in STMs. Many features of the expert models, including the number of communities and participant species, were consistent with empirical trends, but expert models underrepresented recent increases in cacti while overemphasizing the introduced Lehmann's lovegrass (Eragrostis lehmanniana). Quantification of communities and transitions within long-term vegetation records presents several quantitative metrics such as transition frequency, magnitude of accompanying compositional change, presence of unidirectional trajectories, and lack of reversibility within various timescales, which can clarify resilience concepts and inform the construction and interpretation of STMs.
authors.affiliation: Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, Texas 77843, USA. sbagchi@ag.tamu.edu
authors.forename: Sumanta
authors.initials: S
authors.lastname: Bagchi
authors.forename: David D
authors.initials: DD
authors.lastname: Briske
authors.forename: X B
authors.initials: XB
authors.lastname: Wu
authors.forename: Mitchel P
authors.initials: MP
authors.lastname: McClaran
authors.forename: Brandon T
authors.initials: BT
authors.lastname: Bestelmeyer
authors.forename: Maria E
authors.initials: ME
authors.lastname: Fernández-Giménez
mesh_terms: D001130:Arizona; D003247:Conservation of Natural Resources; D003889:Desert Climate; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D008954:Models, Biological; D063245:Plant Development; D010944:Plants / Q000145:classification*; D011157:Population Dynamics; D013997:Time Factors