Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Regression01:25

Multiple Regression

3.1K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.1K
Light Acquisition02:16

Light Acquisition

8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
What is Climate?01:16

What is Climate?

18.7K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.7K
Levels of Use of a GIS01:29

Levels of Use of a GIS

75
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
75
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

82
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
82
Threats to Biodiversity01:50

Threats to Biodiversity

22.6K
There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
22.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Consistent Positive Associations Between Landscape Diversity and Crop Yields.

Global change biology·2026
Same author

Bumble bee responses to climate and landscapes: Investigating habitat associations and species assemblages across geographic regions in the United States of America.

Global change biology·2024
Same author

Effects of landscape simplicity on crop yield: A reanalysis of a global database.

PloS one·2023
Same author

Implications of US agricultural data practices for sustainable food systems research.

Nature food·2023
Same author

Where and how to grow food.

Nature food·2023
Same author

Farmers' delivery of floral resources: to "bee" or not to "bee".

American journal of botany·2022

Related Experiment Video

Updated: Aug 1, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K

Landscape complexity and US crop production.

Katherine S Nelson1, Emily K Burchfield2

  • 1Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, USA. ksnelson@ksu.edu.

Nature Food
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

Increasing landscape complexity and landcover diversity can boost crop yields for corn and wheat by over 20%. This approach enhances agricultural productivity without further land expansion or intensification.

More Related Videos

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

11.8K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.4K

Related Experiment Videos

Last Updated: Aug 1, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

11.8K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.4K

Area of Science:

  • Agricultural Science
  • Ecology
  • Environmental Science

Background:

  • Agricultural expansion and intensification simplify landscapes, negatively impacting biodiversity and ecosystem services.
  • Field-scale studies indicate landcover complexity can enhance crop productivity, but landscape-scale interactions are less understood.

Purpose of the Study:

  • To evaluate the relationship between landscape complexity and crop yields at the county level in the conterminous United States.
  • To determine how landcover diversity and arrangement influence crop productivity.

Main Methods:

  • Analysis of county-level data on landscape complexity and crop yields (corn and wheat) from 2008 to 2018.
  • Statistical evaluation of the association between landcover categories, their arrangement, and yield variations.

Main Results:

  • Landcover diversity, rather than arrangement, showed a stronger positive correlation with crop yields.
  • Increased landcover diversity was linked to yield increases exceeding 10% for corn and wheat.
  • Landscapes with moderate complexity and high diversity demonstrated yield increases of over 20% for corn and wheat.

Conclusions:

  • Enhancing landcover complexity and diversity offers a viable strategy to improve crop productivity.
  • This approach can increase yields without necessitating further agricultural extensification or intensification.
  • Findings suggest landscape management can support sustainable agricultural production.