語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Resilience and Stability of Ecologic...
~
SpringerLink (Online service)
Resilience and Stability of Ecological and Social Systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Resilience and Stability of Ecological and Social Systems/ by István Karsai, Thomas Schmickl, George Kampis.
作者:
Karsai, István.
其他作者:
Kampis, George.
面頁冊數:
XVII, 157 p. 80 illus., 17 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Mathematical and Computational Biology. -
電子資源:
https://doi.org/10.1007/978-3-030-54560-4
ISBN:
9783030545604
Resilience and Stability of Ecological and Social Systems
Karsai, István.
Resilience and Stability of Ecological and Social Systems
[electronic resource] /by István Karsai, Thomas Schmickl, George Kampis. - 1st ed. 2020. - XVII, 157 p. 80 illus., 17 illus. in color.online resource.
Understanding Ecosystem Stability and Resilience through Mathematical Modeling -- The importance of life history and population interactions in population growth -- Habitat fragmentation -- Forest fires: fire management and the power law -- Material flow, task partition and self-organization in wasp societies -- Ants and Bees: common stomach regulation provide stability for societies -- Generalization of the common stomach: integral control at the supra-individual level -- Modeling techniques.
This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena—for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world’s ecosystems.
ISBN: 9783030545604
Standard No.: 10.1007/978-3-030-54560-4doiSubjects--Topical Terms:
786706
Mathematical and Computational Biology.
LC Class. No.: NX180.M33
Dewey Class. No.: 519
Resilience and Stability of Ecological and Social Systems
LDR
:02800nam a22003975i 4500
001
1018400
003
DE-He213
005
20201020194056.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030545604
$9
978-3-030-54560-4
024
7
$a
10.1007/978-3-030-54560-4
$2
doi
035
$a
978-3-030-54560-4
050
4
$a
NX180.M33
072
7
$a
PBW
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBW
$2
thema
082
0 4
$a
519
$2
23
100
1
$a
Karsai, István.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1313386
245
1 0
$a
Resilience and Stability of Ecological and Social Systems
$h
[electronic resource] /
$c
by István Karsai, Thomas Schmickl, George Kampis.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XVII, 157 p. 80 illus., 17 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Understanding Ecosystem Stability and Resilience through Mathematical Modeling -- The importance of life history and population interactions in population growth -- Habitat fragmentation -- Forest fires: fire management and the power law -- Material flow, task partition and self-organization in wasp societies -- Ants and Bees: common stomach regulation provide stability for societies -- Generalization of the common stomach: integral control at the supra-individual level -- Modeling techniques.
520
$a
This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena—for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world’s ecosystems.
650
2 4
$a
Mathematical and Computational Biology.
$3
786706
650
1 4
$a
Mathematics of Planet Earth.
$3
1141729
650
0
$a
Biomathematics.
$3
527725
650
0
$a
Mathematics.
$3
527692
700
1
$a
Kampis, George.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
787076
700
1
$a
Schmickl, Thomas.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1313387
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030545598
776
0 8
$i
Printed edition:
$z
9783030545611
776
0 8
$i
Printed edition:
$z
9783030545628
856
4 0
$u
https://doi.org/10.1007/978-3-030-54560-4
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入