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
Individual-based Methods in Forest E...
~
SpringerLink (Online service)
Individual-based Methods in Forest Ecology and Management
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Individual-based Methods in Forest Ecology and Management/ by Arne Pommerening, Pavel Grabarnik.
作者:
Pommerening, Arne.
其他作者:
Grabarnik, Pavel.
面頁冊數:
XV, 411 p. 186 illus., 60 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Forestry management. -
電子資源:
https://doi.org/10.1007/978-3-030-24528-3
ISBN:
9783030245283
Individual-based Methods in Forest Ecology and Management
Pommerening, Arne.
Individual-based Methods in Forest Ecology and Management
[electronic resource] /by Arne Pommerening, Pavel Grabarnik. - 1st ed. 2019. - XV, 411 p. 186 illus., 60 illus. in color.online resource.
Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index. .
Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. For the first time this book integrates three main fields of forest ecology and management, i.e. tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are understood to be mostly the result of interactions between plants and between plants and humans. Written in a highly accessible style, the book provides essential information on theories and concepts of individual-based forest ecology and management and introduces point process statistics for analysing plant interactions. This is followed by methods of spatial modelling with a focus on individual-based models. The text is complemented by key concepts of modern plant growth science. Finally new methods of measuring, analysing and modelling human interaction with trees in forest ecosystems are introduced and discussed. For better access and understanding, all methods introduced in this book are accompanied by example code ready to use in the statistical software R and by worked examples. Additional technical details are given in three appendices.
ISBN: 9783030245283
Standard No.: 10.1007/978-3-030-24528-3doiSubjects--Topical Terms:
1253861
Forestry management.
LC Class. No.: QH545.F67
Dewey Class. No.: 634.92
Individual-based Methods in Forest Ecology and Management
LDR
:03601nam a22003975i 4500
001
1011877
003
DE-He213
005
20200702004907.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030245283
$9
978-3-030-24528-3
024
7
$a
10.1007/978-3-030-24528-3
$2
doi
035
$a
978-3-030-24528-3
050
4
$a
QH545.F67
072
7
$a
TVR
$2
bicssc
072
7
$a
TEC003040
$2
bisacsh
072
7
$a
TVR
$2
thema
082
0 4
$a
634.92
$2
23
100
1
$a
Pommerening, Arne.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1306108
245
1 0
$a
Individual-based Methods in Forest Ecology and Management
$h
[electronic resource] /
$c
by Arne Pommerening, Pavel Grabarnik.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XV, 411 p. 186 illus., 60 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
Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index. .
520
$a
Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. For the first time this book integrates three main fields of forest ecology and management, i.e. tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are understood to be mostly the result of interactions between plants and between plants and humans. Written in a highly accessible style, the book provides essential information on theories and concepts of individual-based forest ecology and management and introduces point process statistics for analysing plant interactions. This is followed by methods of spatial modelling with a focus on individual-based models. The text is complemented by key concepts of modern plant growth science. Finally new methods of measuring, analysing and modelling human interaction with trees in forest ecosystems are introduced and discussed. For better access and understanding, all methods introduced in this book are accompanied by example code ready to use in the statistical software R and by worked examples. Additional technical details are given in three appendices.
650
0
$a
Forestry management.
$3
1253861
650
0
$a
Biometrics (Biology).
$3
1249740
650
0
$a
Statistics .
$3
1253516
650
0
$a
Renewable energy resources.
$3
563364
650
1 4
$a
Forestry Management.
$3
668604
650
2 4
$a
Biometrics.
$3
677095
650
2 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
2 4
$a
Renewable and Green Energy.
$3
683875
700
1
$a
Grabarnik, Pavel.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1306109
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030245276
776
0 8
$i
Printed edition:
$z
9783030245290
776
0 8
$i
Printed edition:
$z
9783030245306
856
4 0
$u
https://doi.org/10.1007/978-3-030-24528-3
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
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