Next Article in Journal
A Socio-Spatial Analysis of Land Use Dynamics and Process of Land Intervention in the Peri-Urban Areas of Bahir Dar City
Next Article in Special Issue
The Contribution of Local Management to Biodiversity Conservation: An Analysis of Specific Cases in the Region of Madrid (Spain)
Previous Article in Journal
Outmigration Drives Cropland Decline and Woodland Increase in Rural Regions of Southwest China
Previous Article in Special Issue
Local Perceptions of Ecosystem Services Across Multiple Ecosystem Types in Spain
Open AccessEditor’s ChoiceArticle

A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation

1
Conservation Biology Institute, Corvallis, OR 97333, USA
2
The Wilderness Society, San Francisco, CA 94111, USA
3
Botany Department, Nelson Mandela University, Eastern Cape 6019, South Africa
4
The Wilderness Society, Denver, CO 80202, USA
5
Feaver’s Lane Enterprises Inc., St. John’s, NL A1C1T6, Canada
6
The Wilderness Society, Seattle, WA 98121, USA
7
Janice Thomson Consulting, Northwood, NH 03261, USA
*
Author to whom correspondence should be addressed.
Land 2020, 9(11), 444; https://doi.org/10.3390/land9110444
Received: 10 October 2020 / Revised: 6 November 2020 / Accepted: 6 November 2020 / Published: 14 November 2020
The purpose of this research is to better conserve biodiversity by improving land allocation modeling software. Here we introduce a planning support framework designed to be understood by and useful to land managers, stakeholders, and other decision-makers. With understanding comes trust and engagement, which often yield better implementation of model results. To do this, we break from traditional software such as Zonation and Marxan with Zones to prototype software that instead first asks the project team and stakeholders to make a straightforward multi-criteria decision tree used for traditional site evaluation analyses. The results can be used as is or fed into an algorithm for identifying a land allocation solution that is efficient in meeting several objectives including maximizing habitat representation, connectivity, and adjacency at a set cost budget. We tested the framework in five pilot regions and share the lessons learned from each, with a detailed description and evaluation of the fifth (in the central Sierra Nevada mountains of California) where the software effectively met the multiple objectives, for multiple zones (Restoration, Innovation, and Observation Zones). The framework is sufficiently general that it can be applied to a wide range of land use planning efforts. View Full-Text
Keywords: conservation planning; land-use planning; climate change; connectivity; habitat representation; South Africa; biodiversity; spatial decision support systems; restoration; LandAdvisor conservation planning; land-use planning; climate change; connectivity; habitat representation; South Africa; biodiversity; spatial decision support systems; restoration; LandAdvisor
Show Figures

Figure 1

MDPI and ACS Style

Gallo, J.A.; Aplet, G.H.; Greene, R.; Thomson, J.L.; Lombard, A.T. A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation. Land 2020, 9, 444. https://doi.org/10.3390/land9110444

AMA Style

Gallo JA, Aplet GH, Greene R, Thomson JL, Lombard AT. A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation. Land. 2020; 9(11):444. https://doi.org/10.3390/land9110444

Chicago/Turabian Style

Gallo, John A.; Aplet, Gregory H.; Greene, Randal; Thomson, Janice L.; Lombard, Amanda T. 2020. "A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation" Land 9, no. 11: 444. https://doi.org/10.3390/land9110444

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop