Training

Upcoming Training

Advanced Systematic Conservation Planning with Marxan with Zones and Connectivity

By popular request for more focus on the trickier aspects of spatial planning for our oceans, lands, and freshwater systems, Jennifer McGowan is running two Advanced Spatial Planning Trainings.

Join us this July for a 3-hour short course focused on zoning and connectivity. Theory and technical skills will be covered.

We are offering student discounts when registering with a university email.

Two time zones available:

July 12 : 8AM PST to catch the Americas, EU, Africa
https://lnkd.in/gwvJ7pVS

July 15: 3PM PST to catch Asia, Australia, Pacific
https://lnkd.in/ghv4Ngaq

Previous experience with spatial prioritization is desired but not essential.
LIMITED SPACES AVAILABLE

Learning Library
How do you design a nature reserve that most effectively protects biodiversity given limited resources?

Complex natural resource management problems can have millions of potential solutions - how do you choose one that meets all of your goals?

The field of Systematic Conservation Planning (SCP) evolved to answer these types of questions. In this learn library you will find lessons that span basic to advanced SCP concepts, and some concepts that are specific to running a Marxan analysis. We also point you towards places where you can find more information. If there is a SCP or Marxan concept that you would like to learn about but can’t find in our library – let us know marxancloud@gmail.com.

Resources

To download Marxan manuals and tutorials for free please head to our Software page.

Conservation Planning Exercise

Marxan is designed to solve the minimum set problem - selecting areas to meet targets with the lowest possible cost. Below is a simple exercise to help you understand this process.

Instructions

Below is a hypothetical planning area made up of 100 planning units. Each planning unit contains values for three features and also tells us how much the unit costs to conserve it. Click on the planning units below to select or deselect the unit. The goal is to select squares that total to meet the target values with lowest possible cost. When you meet your targets you can compare your results against Marxan's results.

Try the activity with and without consideration of spatial compactness and see how your scores, costs and boundaries compare. Thank you to Trevor Wiens from Apropos Information Systems for making this activity available.

0
0
0
$347
0
0
0
$52
0
0
1
$985
0
0
0
$207
89
0
12
$276
30
48
0
$821
69
4
9
$122
0
0
0
$404
0
0
0
$300
0
0
91
$681
0
0
0
$813
0
0
0
$537
0
0
0
$931
0
0
0
$653
71
43
12
$919
99
0
1
$826
0
0
0
$455
17
0
0
$983
0
0
35
$731
31
0
0
$875
0
0
0
$247
55
40
0
$462
0
0
0
$287
0
2
27
$988
70
0
0
$85
37
0
56
$736
0
0
0
$681
0
0
33
$479
0
41
0
$459
54
0
0
$615
0
0
0
$378
80
8
0
$986
0
47
0
$887
0
0
0
$392
0
78
0
$526
0
0
87
$783
66
0
38
$224
0
0
0
$149
0
0
0
$268
0
91
0
$90
0
0
0
$977
0
0
73
$74
0
60
0
$53
25
79
0
$390
0
0
0
$619
11
0
8
$773
0
0
0
$952
0
0
0
$738
0
0
0
$897
0
0
53
$580
76
34
0
$969
0
90
0
$76
0
84
0
$147
0
0
82
$870
0
72
26
$350
0
0
0
$543
0
0
21
$607
58
0
0
$375
0
0
0
$903
0
54
59
$790
75
0
60
$729
0
0
0
$492
0
0
0
$303
0
0
0
$289
0
0
0
$490
0
0
0
$599
91
0
0
$407
0
0
57
$651
0
42
97
$709
0
0
7
$365
0
0
0
$571
0
37
0
$931
0
0
0
$353
0
0
0
$64
0
0
0
$955
0
0
0
$950
0
0
0
$855
0
23
0
$886
0
41
0
$840
81
0
37
$598
0
0
12
$422
0
0
0
$252
0
0
0
$941
0
53
24
$152
0
72
0
$353
0
93
0
$123
0
0
0
$716
0
23
59
$587
0
0
0
$346
0
0
0
$318
0
0
0
$682
11
0
0
$891
0
14
50
$815
0
0
0
$818
0
0
88
$726
0
0
0
$372
0
0
0
$197
48
0
0
$89
0
0
0
$417
0
76
0
$975
Features Target Current Shortfall  
A 267.4 0 267.4
B 251.2 0 251.2
C 243.0 0 243
Cost: 0
Boundary: + 0
Shortfall Penalty: + 761.6
Your Marxan Score: = 761.6

Marxan Results:

Once you meet your targets Marxan's results will appear here.

This exercise is produced here with the permission and support of:

The new version of Marxan MaPP has been released! Please try it here: marxanplanning.org
The new version of Marxan MaPP has been released! Please try it here: marxanplanning.org