• Publications
  • Influence
Natural land cover drives pollinator abundance and richness, leading to reductions in pollen limitation in cotton agroecosystems
Abstract Cotton is the most economically and culturally important fiber crop worldwide. Though cotton may potentially benefit from animal mediated pollination, it is unknown if the species is indeedExpand
  • 45
  • 3
  • PDF
A global synthesis reveals biodiversity-mediated benefits for crop production
Human land use threatens global biodiversity and compromises multiple ecosystem functions critical to food production. Whether crop yield-related ecosystem services can be maintained by few abundantExpand
  • 46
  • 2
  • PDF
A global synthesis reveals biodiversity-mediated benefits for crop production
Biodiversity benefits pollination, pest control, and crop productivity but suffers from land-use intensification. Human land use threatens global biodiversity and compromises multiple ecosystemExpand
  • 62
  • 1
Small but critical: semi-natural habitat fragments promote bee abundance in cotton agroecosystems across both Brazil and the United States
ContextBees are the most important pollinators of crops worldwide. For most bees, patches of semi-natural habitat within or adjacent to crops can provide important nesting and food resources. DespiteExpand
  • 6
Landscape context differentially drives diet breadth for two key pollinator species
An animal’s diet contributes to its survival and reproduction. Variation in diet can alter the structure of community-level consumer-resource networks, with implications for ecological function.Expand
  • 3
Land-use history drives contemporary pollinator community similarity
ContextHabitat loss, especially within agriculture, can be a threat to biodiversity. However, biodiversity may respond slowly to habitat loss, taking time to undergo successional change following aExpand
  • 5
Land use change and pollinator extinction debt in exurban landscapes
For the first time in more than a century, people across the planet are migrating en mass from cities to rural areas. In this process of ‘exurbanisation’ humans are rapidly converting natural andExpand
  • 5
  • PDF
An algorithm for quantifying and characterizing misleading trajectories in ecological processes
TLDR
We develop a non-random resampling method to directly address the temporal aspects of scaling ecological observations by leveraging existing data. Expand
  • 1
Long-term research avoids spurious and misleading trends in sustainability attributes of no-till.
Agricultural management recommendations based on short-term studies can produce findings inconsistent with long-term reality. Here, we test the long-term environmental sustainability andExpand
  • 3
  • PDF
Long-term research needed to avoid spurious and misleading trends in sustainability attributes of no-till
Agricultural management recommendations based on short-term studies can produce findings inconsistent with long-term reality. Here, we test the long-term relative profitability and environmentalExpand